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Computer Science
Handbook 2003-2004

in Finnish
 
This programme book contains the instruction given in Finnish at the Department of Computer Science. See Computer Science courses in English for teaching in English.

How to complete a course that is only lectured in Finnish, if you do not understand Finnish: How to study?

Please see the Teaching programme for more details on course schedules.

1 cu (credit unit) = 2 ECTS (European Credit Transfer System points)

This version corresponds to the version of June 2003 (of the Faculty of Science).

Contents

Department of Computer Science


P.O. Box 26 (Teollisuuskatu 23)
FIN-00014 University of Helsinki
Telephone 1911 (exchange), direct numbers 191 + extension number
Chairman: Professor Jukka Paakki, office hours Wed 13-14, Thu 10-10:30, room A310.
Secretary (A307, 3rd floor): Office hours for students Mon - Fri 12 - 14

Student Counselling (B439, 4rd floor): tel. 191 44222. Office hours on the WWW page (published each term) http://www.cs.Helsinki.fi/opintoneuvonta/.

The library of the Department of Computer Science and the IT Department is located on the 2nd floor. A library card is required for home reading. Students may apply for a card when they have taken at least 20 cu of computer science studies. More information is available at the library. The library is open Mon-Thur 8-18 and Fri 8-15:45. In June and August, the library is open Mon-Fri 8-15:45 and it is closed during July.

Computer science

The rapid development in the field of information technology (IT) has made it one of the pivotal sectors in our society, the functions of which are increasingly based on IT systems. IT is nowadays closely linked with the areas of business, administration, research and education, where computer skills are essential. Finland has kept up well with this development and Finnish information technology has become a national strength in a short time.

Studies offered by the Department of Computer Science give an excellent competence to work with development and applications in the IT field. In addition to IT experts, the job market is in need of people who are experts in their own fields, while they have good basic skills in IT. One alternative to majoring in computer science, in preparing for duties in the field of IT, is to study the application field as a major subject, while minoring in computer science. This is especially recommended to students who are interested in computer science application.

As a research field, computer science is uncommonly versatile. The scientific approach may be very diverse; depending on the subfield, it may be close to mathematics as an abstract methodological science, or related to empirical natural sciences that study the behaviour of systems, or more like engineering, building new systems. Thus, a student majoring in computer science can minor in subjects that support and enhance their skills in their major subject.

Research in computer science focuses on algorithm-based methods and processes, which are used to describe and transform information; their theory, analysis, design, implementation and application are studied. These methods can be programmed as computer programs, which the computer can run 'automatically.' The basic question in computer science is, "What can be automated, and how is it done most efficiently?" This means that computer science is basically a very constructive and experimental field of study, where practical exercises are very important.

Computer science (or computing) is called tietojenkäsittelytiede in Finnish, datavetenskap in Swedish, Informatik in German and informatique in French.

Graduates may work in very different fields in business and administrative computing, in innovative development for the IT industry, as well as research and education in the IT field. For those interested in research and development, the rapidly growing field of computer science is an attractive alternative; the field offers challenging and significant research problems, leading to solutions that are immediately applied in practice in the industries.

Degrees, sub-programmes, and specialisation areas

The basic degrees of the Computer Science Programme are the Bachelor of Science (BSc) and the Master of Science (MSc). The Bachelor's degree requires at least 120 credit units (cu) of studies, the Master's Degree at least 160 cu (a credit is defined as comprising 40 hours of work). The Bachelor's degree may ideally be completed in three years. A student aiming at a Master's Degree or at post-graduate studies does not have to complete the Bachelor's Degree; it may, however, be a suitable intermediary degree. The Master's Degree may ideally be taken in five years. The post-graduate degrees are the Licentiate of Philosophy (PhLic) and the Doctorate of Philosophy (PhD). The structure of each degree is explained in the section on degree requirements.

The Cum Laude Approbatur module is the first one to be completed in computer science major subject studies. Most of the studies in this module are the same for all students, irrespective of what their choice of specialisation area will be in the Laudatur module. The Cum Laude Approbatur module forms the bulk of the Bachelor of Science degree. For the Master of Science degree, you have to complete the Laudatur module, choosing one of the five sub-programmes: computer science, applied computer science, teacher, computer mathematician, and the new alternative, bioinformatics and computational biology.

The largest sub-programme is Computer science, divided into five specialisation areas. The programme aims at educating computer experts, developers and managers for the information technology field or computer scientists for research. The specialisation areas are described further in the chapter "Planning your studies" and on the homepages of the sub-programmes at http://www.cs.helsinki.fi/opiskelu/suunta.html (in Finnish).

The Bioinformatics and computational biology sub-programme is aimed at students interested in developing computational methods needed for biological applications.

Students who complete their degree according to the Teacher in computer science sub-programme become teachers in information technology in lower and upper secondary schools, as well as in vocational schools, universities, and in educational sections of companies.

Applied computer science is suitable for students who wish to have in-depth knowledge in some minor subject where they can apply computer technology.

The Computer Mathematician sub-programme is a joint programme with the Department of Mathematics; students must include the same amount of computer science and mathematics studies in their degrees, the main difference being the Master's Thesis which is written in the field of the student's major subject.

According to the requirements, fewer computer science courses are required in the Applied Computer Science, Teacher in Computer Science, and Computer Mathematician sub-programmes than in Computer Science.

The students choose one sub-programme by taking courses required by that sub-programme and specialisation area. The courses suitable for a sub-programme are listed on the web page of each sub-programme, as are instructions for how to combine couses. The sub-programmes Bioinformatics and computational biology, Applied computer science and Computer mathematician are chosen by writing a list of the intended studies which is submitted for approval to the professor in charge of the sub-programme. The Teacher sub-programme requires the students to pass an entrance test. Students who have completed 9 credit units of the Cum Laude Approbatur module in computer science can take this test. (See also the section on Teachers in the Faculty Programme Book.)

The Master's thesis (called Pro gradu) is usually written on a subject from the same sub-programme or specialisation area as the compulsory Laudatur courses. The subject of the thesis should always be agreed upon with the Professor in charge of the sub-programme. For theses that cover many different specialisation areas, the thesis-writer may be required to complete some courses from other sub-programmes before starting to write his or her thesis. Especially for Applied computer science, the candidate should take the combination of major subject courses as well as minor subjects into consideration well on time (when discussing the subject of the thesis).

The research school

The research school at the Department of Computer Science is meant for students who are interested in pursuing a career in research and development in the fields of computer science or information technology.

The research school students aim at a postgraduate degree with the rapid completion of the Master's degree as one stage on the way. The school is primarily meant for 2nd - 4th year students. At the end stage of the Laudatur module, these students may revert to one of the research groups at the department or to one of the postgraduate schools HeCSE or ComBi.

Each year in May c. 10 students are elected for the research school. These students form their own teacher tutor group the following autumn term. Choices are based on study progress and interviews. A successful student may also apply to the research school at a later stage than in the spring of the first year of study.

The research school does not have its own degree requirements, but some courses may be recommended for its students. The Cum Laude Approbatur module in Mathematics is a general recommendation. In addition, the department tries to offer the students research-oriented teaching, more challenging exercises and summer jobs in the department's research projects. Research school students have an office space at the department and are given a laptop for assignments.

Student counselling

Please see the department's web server or the notice-boards for information about the department, its teaching and research groups. Please see http://www.cs.helsinki.fi/opiskelu/index.en.html for general information on studies at the department and at the university.

Updated information about teaching is available in the teaching programme, which is published at the beginning of each term on the web http://www.cs.helsinki.fi/index.en.html and on the notice-boards on the 4th floor.

Course contents and end exam requirements can be found in the course descriptions on the page http://www.cs.helsinki.fi/opiskelu/ (some only in Finnish).

Personal student counselling is given in room B439 (phone 191 44222) (check to see who the Foreign Student Advisor is, and when his/her office hours are).
Information about student counselling - office hours - can be found on the web page http://www.cs.helsinki.fi/opintoneuvonta/.

Student counselling concerning graduate and post-graduate studies is given by the faculty at the given times. Please see the lecturer of the course for information on any individual course.

In general questions about degree requirements, please see Professor Hannu Erkiö, Head of Studies.

Important dates

Orientation studies for first year students (in computer science) are arranged on Thursday 4 September 2003 at 9-12 in the Auditorium of the department, at the address Teollisuuskatu 23, ground floor. Orientation studies for foreigners are on 4-6 September, 2003 starting at 9 o'clock in the Main Building, room 1, later room PI in Porthania will also be used.) General orientation studies are arranged each year for all the new students of the university. Peer tutoring is also arranged by older students. Peer tutoring is optional but recommended, as a good way of starting your studies and getting to know the academic world.

Other important dates for the academic year 2003 - 2004.

Autumn 2003:

Spring 2004: Summer 2004:

Degree requirements (syllabus)

Undergraduate programmes

BACHELOR OF SCIENCE (at least 120 cu)

  1. Cum Laude Approbatur in computer science (at least 55 cu) and maturity test
  2. Minor subject at least 45 cu
  3. Other studies at least 6 cu

A student studying to be a teacher can complete the Bachelor's Degree but s/he will not have competence as a teacher (a Master's Degree is required).

MASTER OF SCIENCE (at least 160 cu)

The Laudatur module in computer science must include a maturity test.

CSub-programme in Computer science:

  1. Laudatur module(at least 95 cu)
  2. Minor subject (at least 45 cu)
  3. Other studies (at least 6 cu)

Applied computer science:

  1. Laudatur module(at least 80 cu)
  2. Minor subject (at least 60 cu)
  3. Other studies (at least 6 cu)

Teacher in computer science:

  1. Laudatur module(at least 75 cu)
  2. Minor subjects (at least 70 cu)
  3. Other studies (at least 6 cu)

Computer mathematician:

  1. Laudatur module (at least 76 cu)
  2. Minor subjects (at least 75 cu), out of which at least 60 cu of mathematics
  3. Other studies (at least 6 cu)

Bioinformatics and computational biology

  1. Laudatur module (at least 95 cu)
  2. Minor subjects (45 cu)
  3. Other studies (at least 6 cu)

1. Major Subject Studies

CUM LAUDE APPROBATUR MODULE IN COMPUTER SCIENCE (46-69 cu)

581324 Introduction to the Use of Computers, 2 cu
581325 Introduction to Programming, 3 cu
581326 Programming in Java, 2 cu
581327 Introduction to Application Design, 2 cu
581328 Introduction to Databases, 2 cu
58160 Programming Project, 2 cu
581305 Computer Organization, 2 cu
581329 Database Application Project, 2 cu
581330 Models for Programming and Computing, 2 cu
58131 Data Structures, 4 cu
581331 Operating Systems I, 2 cu
581332 Concurrent Systems, 2 cu
581333 Data Communications I, 2 cu
58161 Data Structures Project, 2 cu
581334 Database Management, 2 cu
581259 Software Engineering, 3 cu
581260 Software Engineering Project, 6 cu
58110 Scientific Writing, 4 cu

Optional Cum Laude Approbatur courses and Laudatur courses can be incorporated in the Cum Laude Approbatur module.

LAUDATUR MODULE IN COMPUTER SCIENCE

The Laudatur module includes courses that are compulsory for everybody as well as courses that are compulsory or optional in each specialization area.In addition to the minimum requirements for each specialisation area, the necessary amount (at least 6 cu in all but the Computer mathematician sub-programme) of optional Laudatur and Cum Laude Approbatur courses may be included in the Laudatur module.

Laudatur courses that can be adapted to the specialisation area of choice may be taken from other specialization areas, other disciplines or other universities, on agreement. The Laudatur courses and seminars are listed in the descriptions of specialisation areas in the programme book and on the web.

Computer science sub-programme(at least 95 cu)

Studies common for all specialisation areas:

Cum Laude in Computer Science, at least 46 cu
581336 Theory of Computation, 3 cu
Seminars, at least 4 cu
50131-2 Master's Thesis (Pro gradu), 16 cu

Algorithms sub-programme

58053 Design and Analysis of Algorithms, 5 cu

At least 15 cu of other Laudatur courses suitable for the specialisation area.

Intelligent systems sub-programme

At least 20 cu of other Laudatur courses suitable for the specialisation area.

Software engineering sub-programme

581358 Software Architectures, 3 cu
581359 Software Processes and Quality, 3 cu

At least 14 cu of other Laudatur courses suitable for the specialisation area.

Distributed systems and data communication sub-programme

582405 Operating Systems II, 2 cu
581363 Data Communication II, 2 cu
581365 Computer Architecture, 2 cu
581366 Basics of Specification and Verification, 2 cu
582417 Distributed Systems, 3 cu

At least 9 cu of other Laudatur courses suitable for the specialization area.

Information systems sub-programme

581353 Database Modelling, 2 cu
58135 Database Structures and Algorithms, 4 cu

At least 14 cu of other Laudatur courses suitable for the specialisation area.

Applied computer science sub-programme (at least 80 cu)

Cum Laude in Computer Science, at least 46 cu
50131 Master's Thesis (Pro gradu), 16 cu
Seminars, at least 2 cu

Laudatur studies according to agreement, at least 10 cu.

Teacher in computer science (at least 75 cu)

Cum Laude in Computer Science, at least 46 cu
581336 Theory of Computation, 3 cu
58037 Computer-Aided Learning Environments, 4 cu
Seminars, at least 2 cu
50131 Master's Thesis (Pro gradu), 10 cu

Optional Laudatur studies, at least 4 cu.

Computer mathematician sub-programme (at least 76 cu)

Cum Laude in Computer Science, at least 40 cu
Laudatur courses according to agreement, at least 18 cu
Seminars in computer science, at least 2 cu
50131 Master's Thesis (Pro gradu), 16 cu

Bioinformatics and computational biology sub-programme (at least 76 cu)

Cum Laude in Computer Science, at least 46 cu
582313 Introduction to Bioinformatics. 2 cu
581336 Theory of Computation, 3 cu

At least 10 cu from the following:
581269 Computational biology, 3 cu
581264 Management of Research Data, 3 cu
581550 Data Mining, 3 cu
58053 Design and Analysis of Algorithms, 5 cu
58093 String Processing Algorithms, 4 cu
581353 Database Modelling, 2 cu
581354 Database Structures and Algorithms, 4 cu

At least 8 cu of other Laudatur courses (all in all, with the above, 18 cu) suited to the subject area.
Seminars, at least 4 cu
50131 Master's thesis (Pro gradu), 16 cu

2. Minor subject studies

a) Computer Science (at least 45 cu):

Approbatur in mathematics (at least 15 cu)

The student is recommended to take more courses in mathematics than stated in the requirements. Especially the following courses are recommended:

Basic course in Analysis, 5 cu (Analyysin peruskurssi) or Differential and Integral Calculation I, 5+6 cu (Differentiaali- ja integraalilaskenta)
Linear Algebra I, 5 cu (Lineaarialgebra I)
Algebra I, 5 cu
Discrete Mathematics I, 5 cu (Diskreetti matematiikka I)
Logics I, 5 cu (Logiikka I)
Probability Calculus I, 5 cu (Todennäköisyyslaskenta I)

Other minor subjects can be chosen freely within the restrictions stipulated in §8 of the degree regulations.

b) Applied Computer Science (at least 60 cu):

The student must take at least two minor subjects. Each student must discuss the choice of subjects with the department.

c) Teacher in Computer Science (at least 70 cu):

The Cum Laude Approbatur module in one other subject (35 cu) for teacher competence in that subject. The minor subject can be chosen freely. The most common minor subject is mathematics.

Pedagogical Studies (35 cu). These studies must be taken in the Faculty of Education.

d) Computer Mathematician (at least 75 cu):

At least two minor subjects must be included, out of which one must be at least 60 cu of Mathematics, please see degree requirements for Mathematics.

e) Bioinformatics and Computational Biology (at least 45 cu):

At least two minor subject modules that each student agrees upon with the department. Especially mathematics and some module in natural sciences are recommended.

3. Other studies

Compulsory studies (at least 6 cu)

Orientation Studies, 1 cu
Second Domestic Language, 2 cu
A Foreign Language, 1-2 cu (foreign students 2 cu)
Participation in teacher tutoring meetings (581256) during four terms, 1 cu
581355 Presenting Computer Science, 1 cu

Optional studies to fulfill the minimum credit unit requirements of the degree.

Additional studies in computer science are included in the Cum Laude or Laudatur studies in computer science (not in other studies).

Post-graduate degrees

The post-graduate degrees are the Licentiate of Philosophy (PhLic) and the Doctor of Philosophy (PhD) degrees.

LICENTIATE OF PHILOSOPHY

  1. 40 cu of the major and minor subject as agreed on in the post-graduate's study plan
  2. Licentiate Thesis.

DOCTOR OF PHILOSOPHY

  1. A Licentiate degree in computer science, or the same as in point 1. of the requirements for licentiates.
  2. A PhD Thesis in Computer Science approved by the Faculty of Science after a public dissertation.

Minor studies for the licentiate and doctoral degrees have to include advanced Cum Laude or Laudatur studies in a discipline supporting the subject and research of the thesis.

If computer science was not the major subject of the postgraduate's basic degree, he or she may have to take more credits in computer science, which means the total amount of credits may exceed 40.

Computer science as a minor subject

APPROBATUR MODULE IN COMPUTER SCIENCE (15-34 cu)

581324 Introduction to the Use of Computers, 2 cu
581325 Introduction to Programming, 3 cu
581326 Programming in Java, 2 cu (or another corresponding programming course)
581327 Introduction to Application Design, 2 cu
581328 Introduction to Databases, 2 cu

At least one of the following:

58160 Programming Project, 2 cu
58162 Database Application Project, 2 cu

Optional studies in computer science, at least 2 cu.

CUM LAUDE APPROBATUR MODULE IN COMPUTER SCIENCE (35-69 cu)

58101 Approbatur, at least 15 cu
58160 Programming Project, 2 cu (if it is not included in the Approbatur module)
581329 Database Application Project, 2 cu (if it is not included in the Approbatur module)
5812305 Computer Organization I, 2 cu
58131 Data Structures, 4 cu
58161 Data Structures Project, 2 cu

Optional Cum Laude Approbatur or Laudatur studies, at least 10 cu (12 cu if both projects were included in the Approbatur module). Two of the following must be included in the Cum Laude module:

581332 Concurrent Systems, 2 cu,
581331 Operating Systems I, 2 cu,
581333 Data Communication I, 2 cu,
581334 Database Management, 2 cu,
581330 Models for Programming and Computing, 2 cu,
581264 Management of Research Data, 3 cu.

If the Approbatur module includes both optional programming projects, the student needs at least 12 credits of optional courses in the Cum Laude Approbatur module.

MINOR LAUDATUR MODULE IN COMPUTER SCIENCE (at least 70 cu)

58102 Cum Laude Approbatur in Computer Science (at least 46 cu)
Seminars (at least 2 cu)
A minor subject Master's Thesis (10 cu)
Optional Laudatur studies (at least 12 cu)

Regulations and general information

Studies in computer science are mostly based on teaching and exercises, and not so much on learning by reading. Generally, a course will consist of lectures and exercises in different forms, and assignments are often included. Attending the lectures will show the student where to find the relevant information in the written material. During lab work, the student will learn how to apply the information, either individually or in a group.

The teaching methods are being developed into a more learner-centered approach, and how courses are realised is varied a great deal. Just attending lectures may not lead to good progress; the most important thing is the independent work of the student. The basic tenet of studying is that the students should spend as much time studying on their own as attending instructed sessions. The number of lectures per course (and credit unit) varies; it is not a good idea to cram all the courses that seem to fit into your schedule.

Some of the courses wmphasise group work and learning together. Each exercise group will be split into smaller study circles that solves problems according to a given schedule. The study circles will meet regularly to discuss the principles for solving each problem and to present the solutions. Some other new teaching methods include courses that are strongly based on weeb material to be used independently and the virtual courses on video arranged in co-operation with other universities (the national virtual university project OSCu)

Working during terms usually slows down studies, and in some cases students never graduate. Especially, the Master's thesis demands full-time concentration of the student, and working on something else during thesis writing is not recommended. On the other hand, summer training (during summer vacation) is recommended for learning practical skills in the IT field.

It is important to take your courses in the correct order, so that you have a good command of the prerequisites for each course before starting on it. Please see the chapter on course interdependencies and the study schedule for more information.

Lecture courses and separate exams

Lecture courses usually yield 2-5 credit units. Both autumn and spring term are divided into two periods of about six weeks each. Short courses take one period, longer ones continue into the next period.

There are two ways to complete a course: by taking a lecture course or a separate exam. Both require preregistration according to deadlines and instructions listed elsewhere. When registering for a course, you are usually required to register for an exercise group, i.e. you register for a course by registering for the exercise group.

A lecture course usually consists of lectures and one or two course exams. There may also be some compulsory or optional exercise sessions, lab work or a study circle, which may yield points that affect the final grade. For most lecture courses it is possible to attend a separate or resit exam.

The separate exam is formally independent of the lecture course, and the requirements are based on the material in the course description. The requirements are usually the same as the contents of the course as it has last been lectured. When taking a separate exam, you do not usually have to complete exercises or projects included in the lecture course. However, for courses where the exercises or lab work is considered a very important part of the course, it is not possible to take a separate exam, but only a resit exam, where the same course components are required as in the original course exam. The schedule for exams is on the web page http://cs.helsinki.fi/kokeet/ (in Finnish).

For most students, the exam based on the lecture course is more suitable than taking a separate exam. Usually, even the most thorough independent exercises cannot substitute for the teaching and exercise problems given at a lecture course. How to complete a course can be seen in the course descriptions on the page http://www.cs.helsinki.fi/opiskelu/index.en.html.

Since Autumn 2002, you can attempt only twice to complete a computer science Cum Laude Approbatur lecture course by registering for the course exercises. A registration that has not been cancelled before the course deadline, usually by the end of the first exercise week, is counted as an attempt. The course lecturer may give a third chance, based on a well reasoned petition. Attempts from before Autumn 2002 are not counted when applying this rule. The number of separate exams is not restricted.

The aim of this rule is not to make life difficult for students, but to enable a reasonable division of department resources, like forming extra exercise groups where they are really needed.

The grades from most courses are given according to the amount of points gained from different components of the course (exams, exercise points, etc). To gain the lowest passing grade 1-/3, the student usually needs c. half of the maximum points, and to gain the highest possible grade 3/3 about 5/6 of the maximum points.

Some courses may be lectured in English if there are foreign students wanting to take it. Please see Computer Science Courses in English for more information.

Laboratory work

In laboratory work, students can enhance and apply the knowledge and skills acquired during lecture courses by design and implementation assignments. The work is divided into individual lab courses. Attending lab work requires that the student has completed the corresponding course (or separate exam) before starting the work. It is recommended that the lab work be started immediately after completing the required courses.

There are three laboratory courses: the Programming Project (prerequisite courses are Introduction to Programming and Programming in Java), the Database Application Project (prerequisite courses Introduction to Application Analysis and Design and Introduction to Databases), and the Data Structures Project (prerequisite course Data Structures).

The lab courses take about 6 weeks, and they start at the beginning and the middle of each term. These courses may also be completed during the summer. The work must be completed during the course, which means that at least 15 hours should be scheduled per week for the lab work. If the work is not finished on time, it is considered interrupted. In this case, lab work may be redone only by way of the waiting list for interruptees.

Registration for the lab courses is binding. However, if it is more than 48 hours until the start of the course, registrations may be cancelled. It is of vital importance to attend the first meeting. If a student who has registered for the course is not present at the first meeting and has not contacted the person in charge of the project or the group instructor, the student loses his/her place. Later he or she may register only by way of the waiting list. Any free places on each course are filled from the waiting list. When the places are filled, new students take precedence over students who have interrupted the course.

Each lab course has its own rules and regulations, which can be seen on the course homepage.

Teacher tutoring

The aim of teacher tutoring is to promote the interaction between students and the department. Students should usually register for a tutor group at the beginning of their second year. The student will attend the same tutor group for two years. Teacher tutoring is compulsory for students majoring in computer science.

In the tutor group, students are given counselling and an individual study plan is made and followed up during the two years. The group meets once a monthfor seminars and group exercises. In addition, the tutor mets student individually.

The groups starting in Autumn 2003 are mainly intended for students who have started studying in the year 2002. Please see the autumn course schedules for more information on teacher tutoring.

Scientific writing (Bachelor's thesis)

In the course Scientific Writing, the students focus on information retrieval and on using scientific source material, as well as writing and oral presentations of scientific renderings. The course exercises lead up to the final paper, the thesis completing the Bachelor's degree. The same skills and methods are needed when completing the Master's thesis (Pro Gradu); at that stage, there will be no more course instruction in writing.

Only students majoring in computer science may attend this course.Students may register for this course when they have completed the compulsory Cum Laude Approbatur lecture courses and laboratory work except Software Engineering and Software Engineering Project. It is not recommended to take this course in the same term as the SDoftware Engineering course.

The topics of the essays and surveys of the course correspond to the sub-programmes, specialisation and research areas at the department. Researchers and teachers of the sub-programmes and specialisation areas supervise the candidates. When registering, the students may choose the subject they are interested in.

The maturity test required for the Bachelor's and Master's degree is completed during this course. The course exercises is written in the same language as the mother language exam in the matriculation exam (Finnish students).

The course Scientific Writing is organised every term and it requires preregistration during the preceding term (for the autumn before the end of April, and for the spring before the end of November). Groups are arranged according to need. For those specialising as teachers, a group will be arranged during the spring term.

Seminars

The Laudatur module includes 2-4 cu of seminars, which are based on presentations and discussions, and require the student to present at least one topic and actively take part in discussions. In other types of seminars, the same amount of work is required. Seminars are evaluated on the presentation, on a written survey of the topic and other activity. The extent of seminars that meet weekly during one term are usually 2 cu. Students are required to be present during at least 3/4 of the regular weekly meetings. Students majoring in computer science are recommended not to participate in their first seminar until they are taking the course in Scientific Writing or preferably after they have completed it. Usually only a limited number of students (15) may attend a seminar. If more students want to attend, the teacher decides how many and who he or she accepts.

Note: Students register for the Autumn seminars during the previous Spring and the Spring seminars during the previous Autumn.

The working language of some seminars may be English according to demand. Some are planned to be held in English. For more information, please see Computer Science Courses in English.

Master's thesis (Pro gradu)

The Master's Thesis (called the Pro gradu in Finland) is the final thesis done independently by the student for his or her MSc degree. The thesis requires about 600 hours of work (in Teacher in Computer Science only 400 hours). Students may start their thesis work when they have completed the Cum Laude Approbatur module (have received the final grade for it) and most of their Laudatur studies. The thesis requires at least four months of concentrated work. Students may apply to the department for a Pro gradu grant to support themselves while working on the thesis.

The student will discuss and agree on the topic of the thesis with the professor responsible for the specialisation area (or sub-programme). The work is divided into two phases; initiation into the subject field and independent research. During the initiation the research plan is formulated. When the research plan has been approved, this phase is considered complete.

There are more instructions on how to write the research plan and on the contents of the thesis in Finnish on the page http://www.cs.helsinki.fi/opiskelu/graduohjeet/ (English translation forthcoming). To find a suitable thesis topic, you may also want to acquaint yourself with the department's research groups and their work in the chapter Planning your studies - Sub-programmes or on the page http://www.cs.helsinki.fi/research.

Any questions you may still have about embarking on your thesis work may be answered at the event held twice a term on getting started with your Master's thesis.

Registration and grades of study modules

Individual course credits are registered automatically, but to have study module credits (Approbatur, Cum Laude Approbatur and Laudatur are study modules) registered,students must fill in a separate application.

To have credits registered, the student should hand in a copy of the registration records maintained by the university and an application form with a list of the courses that the student wants to include in the module. Please see the page http://www.cs.helsinki.fi/opiskelu/ohjeet/merkinnat.html for a list of the persons who register study modules. The forms are available on the department webpages.

In addition to the study modules required for the Bachelor's or Master's degree, the module "Other studies" has to be completed. For the MSc degree, the final mark for the Other studies module is given in connection with the grade for the Laudatur module. The modules for minor subjects should be registered before this. They are registered at the departments for the minor subjects according to their rules. When applying for a Bachelor's degree, the student should deliver a list of which registered credits he or she wants to include as Other studies in the degree to the Science faculty office.

Course credits that are included in module credits may not be more than ten years old. However, there is no time limit for module credits. Study module grades are computed in the following way for students who have entered the university in 1999 or later:

For those following older degree requirements. grades are calculated according to the old standards.

The agreement on flexible studies (JOO)

The University of Helsinki has an agreement about flexible study rights (the JOO agreement) with all the other universities in the greater Helsinki area, as well as with the universities of Tampere, Jyväskylä, Turku and Vaasa. It gives students the right to study subjects that their home university does not offer at other universities. Based on the JOO agreement, you can take courses or more extensive minor subject modules that are to be included in your degree at other universities.

The JOO studies should be chosen so that they support the specialisation area of the Laudatur module. The choice of JOO studies is typically made at the end of the Cum Laude Approbatur module.

To study at another university according to the JOO agreement, please contact that university for more information on how to apply. The department Head of Studies, Hannu Erkiö will give the recommendation required in the application. Please see the page http://www.cs.helsinki.fi/opiskelu/ohjeet/joo.en.html for more information on the JOO agreement.

Credits from other institutions

If a student has completed IT courses at other institutions (e.g., other universities, as an exchange student, a 'datanomi' degree), these studies may be accepted by the department as part of the degree in computer science. The department Head of Studies, Hannu Erkiö, makes the decision about which courses can be accepted.

More instructions are available on the web page http://www.cs.helsinki.fi/opiskelu/ohjeet/hyvlukohje.html (in Finnish) and from the foreign student advisor at fsa@cs.helsinki.fi. Application forms are available at the page http://www.helsinki.fi/ml/tdk/lomakkeet/ from the Student Counselling room (B439) and from the department secretary (A307).

Work experience

If a student has work experience in the field of information technology, he or she may be credited with 2-6 credit units, which may be included in the Cum Laude Approbatur or the Laudatur module. Please see the page http://www.cs.helsinki.fi/kurssit/cum_laude/58168-4/ for more information. Applications are approved by the department Head of Studies, Hannu Erkiö.

International student exchange and work experience

There are possibilities for student exchange and internship positions on various levels; there are agreements between departments, universities and countries. The main exchange programmes are the Socrates/Erasmus programme in the EU, and the Nordplus/Nordlys programme in Scandinavia. A student exchange or internship position depends mainly on the student's own initiative. The period of exchange varies between a few months and one full academic year. Application deadlines vary according to university and/or exchange programme, and usually occur 6-12 months before the start of the exchange period. Thus, a student who is interested in an exchange position should activate him- or herself from the beginning of the autumn term.

Full credit is usually given for studies completed abroad. This is ensured by the study plan that is made before the exchange period. In practice, credits for studies abroad are given after the exchange period, by the same method as any credits from other institutions. International work experience may yield credits in the same way as any work experience in the IT field.

The person in charge of agreements and study plans for international exchange programmes and internships is Professor Hannu Erkiö.

Please see the general part of the student handbook and the page http://www.cs.helsinki.fi/instr.engl/vaihto/ for more information on international exchange programmes.

Upgrading studies

The programme for upgrading studies in computer science that started in the autumn of 1999 aims at teaching IT skills to persons with a degree in another subject, or students who want to change their major subject into computer science.The last students for this programme were accepted in Autumn 2002.

Those taking upgrading studies who have not taken teacher tutoring should contact the person in charge of upgrading studies immediately at the start of the autumn temr in order to be placed in a teacher tutoring group. The group tutor will assist the students to draw up their personal study plans.

Evening and weekend courses will be arranged for upgrading students in the focal topics of the department. In addition, they will have their own exercise sessions and the teacher tutors will arrange allotted placement for them in different courses with a restricted number of participants. Study circles will be arranged for upgrading students according to need. In the study circles, the department's teachers may, e.g., prepare students for course exams. The goal is to support the individual work of such upgrading students who for some reason cannot participate in the day-to-day education at the department. At the same time, the study circles give the upgrading students the opportunity to meet each other and help each other in their studies. The meeting times for the study circles will be announced later.

Minor subject study rights

All students enrolled at the university have the right to take the Approbatur module in Computer Science (15-34 credit units). Larger study modules are available on application. A student may apply for the right to take the Cum Laude Approbatur module when he or she has completed at least 12 cu of Computer Science studies. For the minor Laudatur module, the requirement is 35 cu, and at least the Cum Laude module in the major subject. To gain the right to take a larger study module, a grade level of at least 2 in Computer Science courses is generally required. In order to attend Laudatur level courses, the student should have at least the right to study on the Cum Laude level.

Applications are approved by the department's Head of Studies, Hannu Erkiö.

A student majoring in some other programme of mathematics, physics or chemistry may change his or her major by applying to the Science Faculty. Please contact the department or faculty student counsellors for more information on how to change majors.

Planning your studies

Sub-programmes

In the Computer Science Programme, there are five sub-programmes.

  1. Computer Science
  2. Applied Computer Science
  3. Teachers in Computer Science
  4. Computer Mathematician
  5. Bioinformatics and Computational Biology

Computer Science is divided into five specialisation areas.

In the Computer Science sub-programme, the student chooses a specialisation area by completing studies according to the requirements of the specialisation area. For the Applied Computer Science, the Computer Mathematician and the Bioinformatics and Computational Biology sub-programmes, applications are made in writing to the professor in charge of the sub-programme. The application should list which courses are to be included in the degree. Students who wish to become teachers must take a proficiency test. They may take the test when they have completed certain studies (at least 9 cu from the Cum Laude module of Computer Science; also see section on Teachers in the Faculty Programme Book).

There are detailed descriptions of the sub-programmes and the specialisation areas on the page http://www.cs.helsinki.fi/opiskelu/suunta.html (in Finnish).

Algorithms

The specialisation area focuses on theoretical computer science, especially research in algorithms and computer science theory. The specialisation area also combines theory with applications in different areas (computer graphics, analysis of programs, signal processing, machine learning, computational biology and bioinformatics).

Graduates become technical consultants or researchers.

There is one compulsory course in the specialisation area, Design and Analysis of Algorithms. This course should be taken as early as possible. Mathematical skills and models of thinking are necessary. Students should take the Cum Laude Approbatur module in mathematics. Other recommended minor subjects are physics, theoretical physics, statistics, computational linguistics and cognitive science, and studies based on a separate agreement (JOO) with the Helsinki University of Technology.

The research of the specialisation area is mainly focused on the work of the reasearch unit From Data to Knowledge, a centre of excellence. Research areas of the specialisation area are:

Optional Laudatur courses and seminars will be arranged at least every second year in the following subject areas: algorithms, computer science theory, artificial intelligence and pattern recognition, computational biology and bioinformatics, graphic computer science.

The goals, recommendations and requirements for this specialisation area are described in detail on the page http://www.cs.helsinki.fi/algoritmit/ (in Finnish). Professor in charge 2003-2004: Professor Jyrki Kivinen.

Intelligent Systems

This specialisation area focuses on building intelligent and adaptive systems and related theoretical and practical issues. The area has many subfields including artificial intelligence, computational intelligence, artificial life and intelligent information retrieval. Future IT applications will contain increasing numbers of adaptive components on all levels from applications to hardware. In order to develop intelligent systems, good technical skills, as well as skills to model and find new creative solutions, are necessary prerequisites.

Intelligent Systems graduates are typically positioned either as researchers or technical personnel in IT and data communication companies. Consequently, both the research education and "hands-on experience" play important roles in the studies of this specialisation area.

Developing intelligent systems frequently requires basic mathematical skills as well as a wider grasp of the problem at hand. It is recommended that the students study mathematics as well as minor subjects in other faculties or other universities (through the JOO agreement). Examples of suitable minor subjects are cognitive science, psychology, theoretical philosophy and computational engineering (Helsinki University of Technology).

Research in this specialisation area is pursued in the research group Complex Systems Computation Group (http://www.cs.Helsinki.fi/research/cosco/) in the following research areas.

The goals, recommendations and requirements for this specialisation area are described in detail on the page http://www.cs.helsinki.fi/alykkaat (in Finnish).

Professor in charge 2003-2004: Professor Petri Myllymäki.

Software Engineering

The specialisation area focuses on the systematic development of large and complex software. Such development requires technical skills, but also group and project working, a strict quality production process, documentation and reuse.

Graduates become technical consultants and project managers in software companies. Therefore practical laboratory work is essential for this specialisation area.

Because software developers are required to have versatile skills in many fields, students are recommended, besides mathematics, to take courses (and modules) in other faculties or universities (through the JOO agreement). Some examples of suitable minor subjects are psychology, statistics, industrial engineering and management (Helsinki University of Technology), economics and business administration (Helsinki School of Economics and Business Administration), and art (University of Art and Design).

The research fields of the specialisation area are:

Please see the page http://www.cs.Helsinki.FI/ohjelmistot of the specialisation area for more information on goals, recommendations and requirements.

Professor in charge 2003-2004: Professor Inkeri Verkamo.

Distributed Systems and Data Communication

This specialisation area focuses on distributed systems: systems with concurrently working independent parts and communication between these parts. Algorithms controlling communication are needed on several different levels: in application programs (network services, for example), in the basic services of a distributed infrastructure (mobile workstations, wireless data communications, concurrency between heterogeneous systems), and in computer hardware.

This specialisation area studies basic components of the systems and the structure, implementation, correctness and efficiency of protocols controlling their behaviour. The research methods are both constructive and formal.

The goal of the compulsory courses at the Laudatur level is to give basic skills in the main focuses of the field. In addition to mathematics, methodical sciences like statistics are recommended as minor subjects, which should support the chosen specialisation area. In addition, please keep in mind that the JOO agreement gives you interesting posibilities to enhance your specialisation.

Students who have graduated from this specialisation area typically find positions as technical consultants, researchers and managers of development projects in the software and communications business.

The research fields of the specialisation area are:

The goals, recommendations and requirements for this specialisation area are described in detail on the page http://www.cs.helsinki.fi/hajautetut/ (in Finnish).

Professor in charge 2003-2004: Professor Kimmo Raatikainen.

Information Systems

The specialisation area focuses on the management and mining of data, design and implementation of databases, and language technology and digital media. In all subfields, students will both exercise practical skills and be introduced to theory.

Graduates become experts in data management and software development as well as researchers. Students are recommended to take the compulsory courses Modelling of databases and Database Structures and Algorithms at an early stage.

In the minor subject mathematics module, students are recommended to take courses in logics and discrete mathematics. These are especially required in database theory. Students specialising in data mining are recommended to include probability calculus and statistics in their minor subject studies. Other suitable minor subjects are economics, computational linguistics, theoretical philosophy, business sciences (Helsinki School of Economics and Business), industrial engineering and management (Helsinki University of Technology), cognitive sciences and communications.

The research fields of the specialisation area are:

The goals, recommendations and requirements for this specialisation area are described in detail on the page http://www.cs.helsinki.fi/info/ (in Finnish).

Professor in charge 2003-2004: Professor Hannu Toivonen.

Bioinformatics and Computational Biology

Modern natural sciences are largely based on computational methods. In such fields as molecular biology, genetics and ecology, fairly complex computational methods are used, and there is an ongoing need for new methods. The sub-programme for Bioinformatics and computational biology educates new developers of such methods and experts in the management of scientific material. The methods in this field of study overlap partly with those in the sub-programmes on algorithms and information systems.

Graduates from this sub-programme become experts on computational methods at research institutes and enterprises.

The research fields of this sub-programme in 2003-2004 are:

Students interested in this sub-programme must discuss their choice of minor subjects with the professor in charge of the programme. Extensive modules in mathematics and statistics are recommended, along with some natural science field. The Department of Biosciences offers such modules as the Approbatur in Genetic bioinformatics (15 cu). In mathematics and statistics, the courses in bioinformatics and statistical genetics required for a degree in statistics are especially recommended; Kvantitatiivisen genetiikan tilastolliset mallit ja menetelmät (statistical models and methods for quantitative genetics), Geenikartoituksen mallit ja menetelmät (models and methods for gene mapping), Molekyylievoluution mallit ja DNA-sekvenssien analyysimenetelmät (models for molecular evolution and analysis methods for DNA sequences) and Geeniekspressiodatan tilastolliset analyysimenetelmät (statistical analysis methods for gene expression data).

Please see the page http://www.cs.helsinki.fi/bioinfo/ for more information on this sub-programme's goals, recommendations and requirements.

The Professor in charge Autumn 2003 is Matti Nykänen. Spring 2004 to be announced.

Applied Computer Science

Students in this sub-programme may take a degree where they include more minor subject credits than in other degree programmes. For a person working with computer applications, this is usually more to the purpose. For students upgrading their studies, the requirements of this sub-programme might also be more suitable. This sub-programme is not closely connected to any specific field of research. The student will make an agreement in writing with the professor in charge about the contents of his or her degree at the start of the Laudatur module, at the latest.

This area allows specialisation in a great variety of fields, examples of which are enumerated below.

In practice, the range of minor subjects in this specialisation area is very wide. With the help of the JOO agreement, minor subject modules can also be taken at the Helsinki.University of Technology and the Helsinki School of Economics. A central principle is, however, that at least one minor subject is taken as a large minor, i.e. to the level of the Cum Laude Approbatur module. The main subject courses and the minor subjects should form a united, seamless whole. If the large minor is taken in mathematics, the student may choose the sub-programme of Computer Mathematician.

The Semantic Web project, which works in the field of applied computer science, researches and applies areas such as the semantic web and web services, offering material for thesis work.

This sub-programme is described in more detail on the page http://www.cs.helsinki.fi/sovellettu/

Professor in charge 2003-2004: Professor Eero Hyvönen.

Teachers in Computer Science

Students in this sub-programme become teachers in information technology, needed in comprehensive and secondary schools, as well as in vocational schools and in educational sections of companies. According to the degree requirements, the students must take 35 cu of pedagogical studies. Therefore the extent of the Laudatur module in computer science is less than in other sub-programmes.

The courses in education are taken alongside the ones in the subject the student is going to teach. The Faculty of Education is in charge of teacher education..

The research fields of the specialisation area are:

The sub-programme is described in more detail on the page http://www.cs.helsinki.fi/opettaja/ (in Finnish)

Professor in charge 2003-2004: Professor Matti Nykänen.

Computer Mathematician

The subprogramme Computer Mathematician resembles the Applied Computer Science sub-programme, with mathematics as the large minor subject. The degree requirements are very similar. Teaching is offered in co-operation with the Department of Mathematics. The students take computer science and mathematics to the same amount in their degrees, but they write the Master's Thesis in their major subject (either computer science or mathematics). The goal is to achieve a balanced whole where the courses in computer science and mathematics support each other, creating a good base for the job market.

Students must make a written agreement on the contents of the degree with the professor in charge of the sub-programme. The final stages of the Cum Laude Approbatur module is the best stage at which to discuss the matter in person.

The sub-programme is described in more detail on the page http://www.cs.helsinki.fi/matemaatikko (in Finnish).

Professor in charge 2003-2004: Professor Eero Hyvönen.

The Language Technology Network

The term human language technology or natural language processing means using linguistics for information technology adaptations processing natural languages. Some fields of adaptation are the use of spoken language for computer user interfaces, computer-aided language education, writing accessories (spell-checkers, grammar checking, etc), data mining and document management, automatic translation, speech recognition and production, interactive network applications, mobile communications technology and electronic dictionaries.

The Computer Science Department is a member of the nation-wide language technology education (Kieliteknologian opetus, KIT) network. This network enables extensive and multidisciplined language technology studies in several universities. Students at the Computer Science Dept. may take language technology as a large minor subject (with one other minor) in the Applied Computer Science sub-programme, or as a normal minor in the Computer Science sub-programme. Individual language technology courses may be included in the Laudatur module on agreement. Taking courses at other departments than the Computer Science Dept. requires separate study rights, which can be applied for from the person in charge of the network.

The study modules for language technology are co-ordinated at the Helsinki University General Linguistics Dept. The degree requirements and course schedules may be seen on the network's homepages at http://www.ling.helsinki.fi/kieliteknologia/verkosto/ (in Finnish). Before starting on language technology courses it is best to complete the Introduction to Linguistics course (Cyk110/Ctl102). Please contact the Computer Science Dept. person in charge of language technology, Professor Helena Ahonen-Myka, for more information (study rights, practical arrangements), or see the page http://cs.helsinki.fi/ktekno/.

Minor studies in mathematics

Mathematics is the most important minor subject in computer science. The students need only to take a few course according to the requirements, but the department recommends students to take the Cum Laude Approbatur module in mathematics.

Students should start their studies in mathematics during their first year and complete them during the two first years. Especially in the third year, students will need mathematical skills in many of the computer science courses. Additionally, understanding relevant scientific computer science literature for e.g. research purposes requires a basic knowledge of mathematics.

Recommendations of courses in mathematics included in the degree requirements will barely fulfil the needs. Mathematical exact thinking and decision making is also important when solving problems, be they ever so practical. Consequently, the most important courses in mathematics are general courses such as Linear Algebra I (or Algebra I), Introduction to Analysis and Differential and Integral Calculus I, which also form a basis for other courses in mathematics.

The course Discrete Mathematics I should be taken in the early stages of your studies, as it pays special attention to clarifying mathematical concepts. The course Logics I also provides a set of norms for defining programming languages and other systems, and it also provides necessary basic information in the study of databases and artificial intelligence.

Probability calculus is necessary when considering system performance in data communications or distributed systems. The course also provides a basic theory for intelligent and adaptive systems as well for analysis and design of algorithms.

Other minor studies

In the computer science degree programme, students can freely choose any minor subject(s) (in addition to mathematics). Please see the degree requirements for any restrictions specific to a sub-programme or duties to settle the combination of minor subjects beforehand. In any case, you should try to make the contents of your degree form a logical, sensible whole. The Computer Science Dept. Helsinki), the Helsinki University of Technology (HUT) and the Helsinki School of Economics have offered a joint study module on software business management to the students majoring at these institutions. It is called the software enterprise module. This minor consists of general courses in software technology, software engineering, business administration, marketing and information technology copyrights, as well as project work. A limited number of students are selected for this minor each year. The application deadline is 31 October 2003. Please see the page http://www.cs.helsinki.fi/ohli/ for more information (in Finnish).

Computer science is connected with many other fields. By selecting their minor subjects carefully, students can build up their degree profile in the way they want. Students may take minor modules (of at least 15 cu), besides mathematics, in other departments or even at other universities. Students should note that many subjects mentioned below require the students to fill in applications or take a proficiency test to obtain the study right in the subject. Student should find out themselves when tests are organised (often only once per year).

Typical minor subjects at the University of Helsinki are

in the Faculty of Science: physics, theoretical physics, biology (several possibilities), genetics, general microbiology, biochemistry, geography;

in the Faculty of Social Sciences: statistics, (political) economics, social psychology, practical philosophy, communication, management;

in the Faculty of Arts: theoretical philosophy, cognitive sciences, general linguistics, (human) language technology;

in the Faculty of Education: education, adult education.

Studies at other universities are possible through the agreement on flexible study opportunities (JOO). The most popular minor subjects have been industrial engineering and management (Helsinki University of Technology), economics and business (Helsinki School of Economics), and art subjects (University of Art and Design). Please check the programme books of the universities mentioned for more information about courses and application procedures, and how to integrate your credits from other universities on the web page http://www.cs.helsinki.fi/instr.engl/fsa/recognition-of-credits.html.

Other studies

Other studies, not included in study modules, include orientation studies, the course Presenting Computer Science, participation in tutoring, language studies and studies at other departments.

The Faculty of Science organises orientation studies for all students. The section on this as well as the compulsory language studies are described at the beginning of the Faculty Programme Book. Before the language courses start, the students take a screening test. Students with very good results are exempted from the courses. Students are recommended to take the test during their first year.

Optional studies useful in the IT field can be found among others in the fields of economics, administration, education, behavioral sciences, physical sciences and other natural sciences (see above, the section Other minor subjects). Students should choose among these subjects so that the studies support major and other minor subjects.

Study schedule

In the following, a model study schedule for completing the Master of Science degree in four and a half years will be presented.

The model schedule contains studies of about 20 cu per term in the beginning, and a little less towards the end. Students who follow the plan, can complete their Bachelor's degree in three years. Students can also take some minor subjects, basic studies in computer science and laboratory work in summer. By taking advantage of summer studies, the students can either choose less courses during autumn and spring terms, or try to complete the degree in less time.

1st Autumn Term, 19 cu

Orientation Studies, 1 cu
Foreign Language, 1 cu
Introduction to the Use of Computers, 2 cu
Introduction to Programming, 3 cu
Presenting Computer Science, 1 cu
Programming in Java, 2 cu
Introduction to Application Design, 2 cu
Minor subject studies, 2 cu
Minor studies in Mathematics (Linear Algebra, Introduction to Analysis or Differential and Integral Calculus I.1), 5 cu

1st Spring Term, 20-21 cu

Programming Project, 2 cu
Introduction to Databases, 2 cu
Models for Programming and Computing, 2 cu
Database Application Project, 2 cu
Computer Organization, 2 cu
Minor studies in Mathematics (Discrete Mathematics (5 cu) or Differential and Integral Calculus I.2 (6 cu))
(if the schedule contains too many courses, the Database Application Project can be moved to the following autumn, and the schedule of that autumn be reduced (minor or other studies))

2nd Autumn Term, 20 cu

Data Structures, 4 cu
Tutoring starts
Operating Systems I, 2 cu
Concurrent Systems, 2 cu
Other Studies, 3 cu
Minor Studies, 9 cu

2nd Spring Term, 20 cu

Data Communications I, 2 cu
Data Structures Project,, 2 cu
Database Management, 2 cu
Software Engineering, 3 cu
Optional Cum Laude Approbatur studies in Computer Science, 4 cu
Minor Studies, 7 cu

3rd Autumn Term, 20 cu

Software Engineering Project, 6 cu
Theory of Computation, 3 cu
Laudatur- (or Cum Laude Approbatur) Studies in Computer Science, 5 cu
Second domestic language, 2 cu
Minor Studies, 4 cu

3rd Spring Term, 21 cu

Scientific Writing, 4 cu
Compulsory Laudatur course, 3 cu
Tutoring ends, 1 cu
Laudatur- (or Cum Laude Approbatur) Studies in Computer Science, 5 cu
Minor Studies, 8 cu

At this point, the students have completed the Bachelor of Science degree.

4th Autumn Term, 14 cu

Compulsory course in Laudatur, 3 cu
Seminars, 2 cu
Optional courses in Laudatur 6 cu
Other Studies, 3 cu

4th Spring Term, 10 cu

Optional courses in Laudatur, 8 cu
Seminars, 2 cu
Start work on Master's Thesis

5th Autumn Term, 16 cu

The thesis completed 16 cu

The model schedule presented above may be used as a basis for an individual study schedule. When setting up the schedule, students should notice interdependencies between courses, and when courses are organised at the department. Laboratory courses and the Software Engineering Project may be taken every term including summers. Most lecture courses may be taken as a separate exam each term. Many of the courses placed in the first or second year are lectured every term. Other courses are mostly lectured only once per year. Optional specialisation courses may be lectured even more seldom.

Students that study to be teachers may follow the above model. They may start their pedagogical studies after they have been accepted for the sub-programme. They must, however, register separately for practicums (teaching experience in schools), see the Section on Teachers in the Faculty Programme Book..

Interdependencies between courses

There are two kinds of interdependencies; compulsory and recommended ones. The recommended ones specify the amount of preknowledge that is needed for a course, and it is the student's own responsibility to meet the requirements. For the compulsory ones, registration is supervised at registration.

In the following, we list interdependencies between the most important courses and their prerequisites. .

The course Introduction to the Use of Computers is required in nearly all other courses. Students should take this course at the beginning of their studies.

The prerequisite for the courses Programming in Java and Introduction to Application Design is knowledge to the extent taught in the course Introduction to Programming.

Prerequisites for the Programming Project are the courses Introduction to Programming and Programming in Java. Students must also have the skills of the course Introduction to Application Design.

Prerequisites for the Database Application Project are the courses Introduction to Application Design and Basics in Databases.

The prerequisite for the course Models for Programming and Computing is knowledge to the extent taught in the course Introduction to Programming.

The prerequisite for the courses Data Structures and Computer Organization is knowledge to the extent taught in the courses Introduction to Programming and Programming in Java.

The prerequisite for the Data Structures Project is the course Data Structures.

The prerequisite for the courses Operating Systems I, Data Communication Services, and Concurrent Systems is the course Computer Organization.

The prerequisite for the course Database Management is the course Basics in Databases.

Prerequisites for the course Software Engineering are the courses Models for Programming and Computing and Data Structures, and the laboratory courses Programming Project and Database Application Project. Also, the student should have taken (or be taking) the Data Structures Project.

Students may register for the Software Engineering Project only when they have completed all other compulsory Cum Laude Approbatur courses in computer science (except Scientific Writing). In practice, this means that the students have completed all courses in the first and second years of the model study schedule.

Students may register for the course Scientific Writing when they have completed all other compulsory Cum Laude Approbatur courses in computer science (except Software Engineering and the Software Engineering Project).

The students may take the Software Engineering Project and the course Scientific Writing in any order. Both courses demand a lot of work in the final phase, and the department does not recommend students to take both courses during the same term.

Prerequisites for the course Theory of Computation are knowledge to the extent taught in the course Models for Programming and Computing and at least 15 cu of mathematics.

Post-graduate studies

Due to the information technology boom, there is a shortage of people with a postgraduate degree in computer science in both universities and the business world. To meet this shortage of researchers, the universities have started different programmes, like research schools, research institutes and centres of excellence. In addition, IT businesses have established their own research centres. This makes the situation very favourable for research and postgraduate studies in computer science.

The goal of a post-graduate degree in computer science is to gain deeper knowledge of some sub-field of computer science and the ability to attain new scientific insights in it. Post-graduate studies are usually based on the MSc degree, on the topic of the Master's thesis. We try to steer MSc students who seem like promising post-graduates towards such subjects that will make a good basis for postgraduate studies.

If they want to continue as post-graduates, undergraduates are well advised to contact the department research group conducting research in their field of interest when choosing the topic for their Master's thesis, at the latest. The group can offer support in many forms, such as scientific expertise, discussions and innovation, as well as international contacts. Belonging to a research group will make it easier to finance your studies, too, often at the stage of writing your Master's thesis. The fields of research and project groups are presented on the page http://www.cs.helsinki.fi/research/.

The goal of the post-graduate studies may be the Licentiate degree, and/or the doctoral degree. A central part of the studies is the independent writing of a licentiate or doctoral thesis. Licentiate research should show that the student is well acquainted with the research field, and that s/he is able to perform independent work in writing scientific texts and performing scientific work. In the doctoral degree, the requirements for the thesis are on a higher level: the thesis should show academic maturity and contain internationally significant new knowledge.

Post-graduates are recommended to aim at the doctoral degree. Usually, a preliminary version of the doctoral thesis can then be accepted as a licentiate thesis. The doctoral thesis may also be an extension of the licentiate thesis. In most cases, students should aim at internationally publishable results as soon as possible. Results may be published as journal and conference articles even before the thesis is finished, and is possible to have a collection of such articles assembled into a thesis. The other possible form of a thesis is a monography that presents the research as a whole.

Formally, students register for post-graduate studies by agreeing on the topic of the thesis with the professor in charge of the intended research area (the final topic will be found during the research), and on specialisation and minor studies. These plans will then be filled into a special form for post-graduate studies. Every student will also be assigned a personal supervisor, who will be in charge of the progress of the thesis work and will ensure the high scientific level of research. If you study full-time, it is possible to complete your licentiate in 2-3 years and a doctorate in four years after completing your Master's degree.

The grades for courses included in the post-graduate degree have to be at least 2/3. It is a good idea to complete the minor subject studies at the earliest possible stage.

A great part of the post-graduate students belong to a so-called graduate school. The graduate schools organise courses and in some cases funding for post-graduate students. The department participates in three such graduate schools (see below). It is also possible to fund your post-graduate studies by working in one of the department's research projects or as a teacher. Furthermore, it is possible to carry out your post-graduate studies alongside a research and development job at an IT company or research institution, although this kind of arrangement has proven to be very strenuous.

The Helsinki Graduate School in Computer Science and Engineering: HeCSE

The Helsinki Graduate School in Computer Science and Engineering (HeCSE) is a post-graduate programme in computer science and engineering jointly offered by the Helsinki University of Technology (HUT) and the University of Helsinki (UH). Teaching is organised both at the University of Helsinki and at the Helsinki University of Technology. Please contact the leader of the graduate school, Professor Henry Tirri, the co-ordinator, Tiina Niklander, or send mail to hecse-admin@cs.helsinki.fi, or see the web page http://www.cs.helsinki.fi/hecse/, for more information on the graduate school, application deadlines and funding.

The Graduate School in Computational Biology, Bioinformatics, and Biometry: ComBi

The Graduate School in Computational Biology, Bioinformatics, and Biometry (ComBi) is a post-graduate programme jointly offered by the Universities of Helsinki, Tampere and Turku as well as the Helsinki University of Technology. The school started at the beginning of 1998 and the Computer Science Dept. at the University of Helsinki is the co-ordinating institution. The research goal of ComBi is to develop computational, mathematical, and statistical methods and models for natural sciences. To that end ComBi will educate PhDs with high-quality methodological expertise. In their thesis work the students are expected to apply this expertise to computational, data analysis, or modeling problems in biology or in some related field. The thesis projects are carried out in close cooperation with one or more research groups in the application area. More information including activities, application deadlines, funding of studies, etc. may be acquired from the director of the graduate school, Professor Esko Ukkonen (UH), and from the general secretary Heikki Lokki (UH) as well as electronically on the web page http://www.cs.helsinki.fi/combi/ or by email to combi@cs.helsinki.fi.

National graduate school for language technology (KIT)

The KIT (Kieliteknologian valtakunnallinen tutkijakoulu) graduate school is a national, multidisciplinary graduate school that is part of the emerging Scandinavian language technology research network. The graduate school started operations at the beginning of 2002. Please contact Professor Helena Ahonen-Myka or see the webpage http://www.ling.helsinki.fi/kit/tutkijakoulu/ for more information.

The Helsinki Institute for Information Technology

The Helsinki Institute for Information Technology HIIT is the joint research institute of the University of Helsinki and the Helsinki University of Technology. Its goal is to enforce the strategic research in the field of computer science, as well as improving the co-operation between the University of Helsinki and Helsinki University of Technology. HIIT is divided into two units; the Advanced Research Unit that mainly co-operates with the industries is led by Martti Mäntylä, and mostly operates at the Helsinki University of Technology, and the Basic Research Unit, which was started at the beginning of 2002 and is led by Heikki Mannila. The Basic Research Unit mostly operates at the Department of Computer Science in Vallila, Helsinki, but part of it operates at Otaniemi. It carries out high-classed basic research in the field of computer science, in close co-operation with other disciplines and with representatives of industrial application areas. Please see the webpage http://www.cs.helsinki.fi/hiit_bru/ and http://www.hiit.fi, or e-mail Heikki.Mannila@cs.helsinki.fi for more information.

Course schedule 2003-2004

Students should check the notice-boards on the 4th floor or the department webpages for changes in the course schedule and registration procedures. The course schedule may still be revised after the paper version of the Faculty Programme Book has been released. The course schedule contains the places and times for exercise sessions and laboratory groups. Places and times for mid-term and separate exams are available at the page http://www.cs.helsinki.fi/kokeet/. Course contents and requirements for the exams may be found on the webpage http://www.cs.helsinki.fi/opiskelu/ as well as in the chapter Courses).

Most of the compulsory Cum Laude Approbatur courses are arranged once each term. For some of the basic courses, one term is meant mainly for major subject students while the other is mainly for minor subject students. Some courses are marked In English. These courses are lectured in English.

Registration

Students register for courses, laboratory work and final exams using the automatic registration system. The binding registration for exercise groups starts about one week prior to teaching (please see important dates.). Students must register for courses during the week the course starts at the latest, and for seaparate exams no later than on the Monday of the preceding week. Course exams are held in connection with courses and students do not have to register for them. NB. Exercise groups often meet for the last time during the week following the last lecture.

Students register for the Software Engineering project, Scientific Writing and seminars during the preceding term. (See important dates.)

Students also register for laboratory courses through the registration system. A student who has interrupted her/his laboratory work may register only by way of the list of "interrupters". Students may register for laboratory work until the day the group meets for the first time. After that registration is not possible. Students must attend the first group meeting of the group they have registered with, otherwise they lose their place in the group to another student.

Computer privileges

To have access to the department's computers, you need a personal user account (the university user account is not enough). New major subject students are given a new account on the basis of their registration with the university, but you have to activate it according to the instructions. Other students should apply for a user account separately. Instructions at http://www.cs.Helsinki.FI/compfac/ohjeet/Luvat/useraccess.html.

Classrooms

The teaching is organised in the Department of Computer Science (Teollisuuskatu 23). Some large courses are given in other premises of the university.

Classrooms:
The Auditorium (Auditorio) is located on the 1st floor
For the classrooms, the letter indicates the wing of the building and the first number the floor on which the room is situated.
NB You enter the building on the first floor, not the ground floor!

AUTUMN TERM 2003

Other studies for major students

581256 Opettajatutorointi (Teacher Tutoring, 1 cu)
First meeting: University Lecturer Pirjo Moen Mon 15 Sept at 18-20 Auditorium
Attendance is compulsory for major students who started their studies in the autumn of 2002. Groups meet on Mondays at 14-16.

581355 Tietojenkäsittelytieteen esittely (Presenting Computer Science, 1 cu)
Lectures: Laboratory Engineer Tiina Niklander 15 Sept - 24 Oct Mon 12-14, Fri 10-12 Auditorium
This course offers a general overview of the different sections of computer science, presented by experts from various fields. The lectures mostly present areas that are the object of research at the department. A written exercise is included in the course.

Cum Laude Approbatur/compulsory courses

581324 Tietokone työvälineenä (Introduction to the Use of Computers, intensive course, 2 cu)
(especially for major subject students)
Lectures: Lecturer Anni Rytkönen 1 - 2 Sept Mon, Tue 10-12 and 8 - 9 Sept Mon, Tue 12-14 Auditorium , exercises and separate instruction at times to be announced later, and web material.
During this course, ww will practice using tool programs that you will need for courses and exercises at the department. It covers such areas as the computer and operating systems at the department (Unix, Linux and Windows), Internet (the WWW, e-mail, newsgroups), home pages and HTML, and office programs (word processing, graphical representation and spreadsheet calculation). An assignment is included in the course. You will need a user account for the department for the exercises. Please see the department pages for instructions on how to apply for an account.

581390 Tietokone työvälineenä (Introduction to the Use of Computers, 2 cu)
(especially for minor subject students)
Lectures: Amanuensis Juhani Haavisto 12 Sept - 10 Oct Fri 8-10 and Tue 16 Sept, 30 Sept Auditorium, and exercises and instruction at times that will be announced later.
During this course, we will learn how the software works (see the course for majoring students) and present many demos. Some of the lectures and exercises can be compensated by studying the web material on your own. You should take this course at the beginning of your computer science studies. You will need a user account for the department for the exercises. Please see the department pages for instructions on how to apply for an account.

581325-0 Ohjelmoinnin perusteet (Introduction to Programming, 3 cu)
(especially for major subject students)
Lectures: Lecturer Arto Wikla 11 Sept - 30 Oct Mon, Wed 14-16 Auditorium
Basic principles of programming: algorithms, programming techniques, and object-orientation. The programming language is Java. No prerequisites.

581326 Java-ohjelmointi (Programming in Java, 2 cu)
(especially for major subject students)
Lectures: Lecturer Arto Wikla 3 Nov - 8 Dec Mon, Thu 14-16, Thu 14-16 Auditorium
An introduction to the Java programming language. The focus is placed on basic structures of the language. Prerequisites: Students must have programming skills to the extent taught in the course Introduction to Programming. Note: The exercises start the same week as the first lectures.

581328 Tietokantojen perusteet (Introduction to Databases, 2 cu)
Lectures: Teija Kujala, MSc 16 Sept - 21 Oct Tue 14-16 Auditorium
Introduction to relational databases, what they are and how they are used directly and indirectly via programming languages. The course contains an introduction to the design of relational databases. Prerequisites: Students must have programming skills to the extent taught in the course Introduction to Programming. The course is partly a web course; only the more demanding parts of the course will be discussed during lectures.

581327 Johdatus sovellussuunnitteluun (Introduction to Application Design, 2 cu)
(especially for major students)
Lectures: Asst Antti Viljamaa 27 Oct - 5 Dec Mon 12-14, Fri 10-12 Auditorium
Development of object-oriented software including design techniques and methods. Also an introduction to user interfaces and their design. Prerequisites: Students must know about object-oriented concepts to the extent taught in the course Introduction to Programming.

581305 Tietokoneen toiminta (Computer Organisation I, 2 cu)
Lectures: Lecturer Teemu Kerola 28 Oct - 4 Dec Tue 14-16, Thu 8-10 Auditorium
Execution of a computer program, components of computer hardware, execution environment of hardware/operating system. Reading for separate exam: Stallings, W.: Computer Organization and Architecture (6th ed.), Prentice Hall, 1999.

581330 Ohjelmoinnin ja laskennan perusteet (Models of Programming and Computing, 2 cu)
Lectures: PhD Asst Matti Luukkainen 17 Sept - 23 Oct Wed 10-12, Thu 12-14 Auditorium
An introduction to the formalized models of programing and computing. The following matters will be discussed: limited automats, formalized languages, RAM applications, parsing grammars and testing programs.

581331 Käyttöjärjestelmät I (Operating Systems I, 2 cu)
Lectures: Lecturer Auvo Häkkinen 15 Sept - 22 Oct Mon 10-12, Wed 12-14 Auditorium
Operating system services for applications, functionality of operating systems. From the viewpoint of applications. Course literature: Stallings, W.: Operating Systems (4th ed.), Prentice Hall, 2000.

581332 Rinnakkaisohjelmistot (Concurrent Systems, 2 cu)
Lectures: Lecturer Auvo Häkkinen 27 Oct - 3 Dec Mon 10-12, Wed 12-14 Auditorium
Basic concepts of programming of concurrent and distributed systems. Special emphasis is paid to design and implementation of concurrent algorithms. Course literature: Andrews, G. R., Foundations of Multithreaded, Parallel, and Distributed Programming,Addison-Wesley, 2000.

58131 Tietorakenteet (Data Structures, 4 cu)
Lectures: Professor Matti Nykänen 16 Sept - 4 Dec Mon 10-12, Wed 12-14 Auditorium
Basic data structures, such as stacks, queues, trees and graphs and their processing algorithms. Course literature: Cormen, Leiserson, Rivest, Stein: Introduction to Algorithms, Second Edition The MIT Press, 2001.

581334 Tietokannan hallinta (Database management, 2 cu)
Lectures: Jan Lindström, PhD 23 Sept - 29 Oct Tue 12-14, Wed 14-16 Auditorium
Operations of a database management system: storing and retrieving data, access rights, optimization of queries, transaction management. Prerequisites: the contents of courses Basics in Databases and Data Structures. Course literature: Ramakrishnan R. and Gehrke J.: Database Management Systems (3rd edition), McGraw-Hill, 2002.

58110 Tieteellisen kirjoittamisen kurssi (Scientific Writing, 4 cu)
(only for major subject students and students taking a minor Laudatur) Lectures: Professor Lea Kutvonen 8 Sept and 22 Sept - 27 Oct Mon 14-16, additionally 11 Sept Thu 14-16 A217
Group meetings 15 Sept - 10 Dec (Registration during spring term 2003).
Sources of scientific information. Use of libraries and scientific databases. Skills needed for writing a scientific presentation (a thesis, a report, an article) are taught at this course, including the search and use of source material, disposition, and written and oral presentation.

581259 Ohjelmistotuotanto (Software Engineering, 3 cu)
Lectures: University Lecturer Juha Taina 11 Sept - 4 Nov Tue 8-10, Thu 10-12 A217
Introduction to software engineering as a professional discipline: concepts, theory and practice.

581250 Ohjelmistotuotantoprojekti (Software Engineering Project, 4 cu)
Persons in charge: University Lecturer Juha Taina and Teacher Turjo Tuohiniemi Group meetings weeks 35-49. Registration during spring term 2003.

58160 Ohjelmoinnin harjoitustyö (Programming Project, 2 cu)
Person in charge: Lecturer Arto Wikla
The work may be performed during either
Lectures: 15 - 16 Sept Mon 14-16, Tue 14-16 A414
Exercise groups: 15 Sept - 24 Oct
or
Lectures: 27 - 28 Oct Mon 14-16, Tue 14-16 A414
Exercise groups: 27 Oct - 5 Dec

581329 Tietokantasovellusten harjoitustyö (Database Application Project, 2 cu)
Person in charge: University Lecturer Pirjo Moen
The work may be performed during either
Lectures: 11 Sept Thu 14-16 A414 initial lecture, 22 Sept Mon 14-16 A414 technical lecture
Exercise groups: 15 Sept - 24 Oct
or
Lectures: 27 Oct Thu 14-16 A414 initial lecture, 10 Nov Mon 14-16 A414 technical lecture
Exercise groups: 3 Nov - 12 Dec

58161 Tietorakenteiden harjoitustyö (Data Structures Project, 2 cu)
Person in charge: Professor Otto Nurmi
Exercise groups: 11 Sept - 12 Dec

Cum Laude Approbatur / optional courses

582313 Bioinformatiikan perusteet (Introduction to bioinformatics, 3 cu)
Lectures: University Lecturer Tomi Pasanen 14 Oct - 4 Dec Tue, Thu 14-16 B450
This course will discuss the computation of molecular biology while looking at the world-wide infrastructure of bioinformatics.

582302 Digitaalisen median tekniikat (Techniques for digital media, 2 cu)
Lectures: Professor Helena Ahonen-Myka 24 Sept - 17 Oct Tue, Thu 14-16 Auditorium
Implementation of web pages, especially management of dynamic and interactive pages, formatting with style sheets. Programming work. The courses Techniques for Digital Media and Techniques for New Media Applications (old course) cannot both be included in a Master's degree.

58127 Programming in C, 2 cu
In English Lectures: Teacher Krishnan Narayanan 29 Oct - 5 Dec Wed 10-12, Fri 12-14 Auditorium
We learn how to program in ANSI C. Prerequisites: programming skills, and the courses Introduction to Programming, Programming in Java, Programming Project or corresponding skills. Students are also recommended to have completed (or to take at the same time) the course Data Structures. The course can be completed without these prerequisites but will in that case require a lot of additional work. Course literature: Müldner T.: C for Java Programmers, Addison-Wesley, 2000.

581251 Ohjelmointitekniikka (Software Design, C++, 3 cu)
Lectures: Lecturer Juha Vihavainen 12 Sept - 29 Oct Wed 16-18, Fri 12-14 Auditorium
Exercises in implementing abstract data types, object programming and the C++ programming technique. Prerequisites: Data Structures and Programming in C. You will need good programming skills and be prepared to work on the course material on your own.
Course literature: T. Müldner: C++ Programming, Addison-Wesley, 2002.

582304 XML-metakieli (The metalanguage XML)
Lectures: Mika Raento, MSc 15 Sept - 3 Nov Mon 16-18 Auditorium
The basics of XML. DTD and modelling document structures. Name spaces. Processing XML with DOM and SAX. Generating XML with XSLT. XSL FO and formatting the layout of an XML document with XSLT. The reuslts from the obligatory instruction sessions will be graded. Assumed preknowledge: Techniques for digital media (or HTML+CSS), Programming project (or good programming skills), Data structures.
Course literature: Neil Bradley: The XML Companion (3rd ed.) Addison-Wesley, 2002.

582310 Aineenopettajan tietotekniikka (Information Technology for Teachers, 3 cu)
Lectures: Lecturer Anni Rytkönen, University Lecturer Jaakko Kurhila 6 Oct - 24 Nov Mon 14-18 A319
The course is aimed for future IT teachers. It is recommended that participants have completed or at least started their teaching practice, and are in the final stages of their Cum Laude Approbatur module.
The course discusses issues in the work of IT teachers, such as the contents of courses held in secondary schools, management tools in a computer classroom, as well as the maintenance of computers and network. The course work consists of individual meetings and project work. The number of participants may have to be restricted.

Laudatur

581336 Laskennan teoria (Theory of Computing, 3 cu)
Lectures: Professor Jyrki Kivinen 14 Oct - 3 Dec Tue 12-14, Wed 10-12 A217
The course builds on the course Models of Programming and Computation, enhancing the basic theoretical knowledge of computer science. Issues that are especially considered are the Turing machine and the solvability of computational problems.
Course literature: Hopcroft, J. E., Motwany, R., Ullman, J. D., Introduction to Automata Theory, Languages and Computation (2nd ed.), Addison-Wesley, 2001.

58074 Tietokonegrafiikka (Computer graphics, 4 cu)
Lectures: Professor Otto Nurmi 17 Sept - 28 Nov Wed 14-16, Fri 12-14 B450
3-dimensional representations and transformations, scan conversion, window transformation and clipping, hidden surfaces, color models, illumination, texturing, shadows, solid modeling, animation, real time.
Course literature: Slater M, Stted A, Chrysanthou Y: Computer graphics and virtual environments: from realism to real-time. Addison-Wesley, 2002.

58093 Merkkijonomenetelmät (Stringology, 4 cu)
Lectures: Doctoral Asst Veli Mäkinen 16 Sept - 27 Nov Tue, Thu 10-12 A414
Retrieval of exact and approximate string patterns. Text indexation. Text compression.

58066 Tekoäly (Artificial intelligence, 4 cu)
Lectures: University Lecturer Raul Hakli 15 Sept - 26 Nov Mon 12-14, Wed 12-14 A414
An introduction to artificial intelligence (AI), its main problems and their solutions, especially from the viewpoint of "Good Old-Fashioned AI" or GOFAI, where the presentation and processing of symbolic knowledge is prioritised instead of neural networks and other subsymbolic technologies based on numerical computing.

582439 Graphical Models (3 cu) In English
Lectures: Professor Petri Myllymäki, Wray Buntine, PhD 31Oct - 5 Dec Fri 10-13 A320
During the last decade probabilistic graphical models have become an important modeling formalism in statistics, adaptive and learning systems in computer science and in information theory. This course provides an introduction to probabilistic modeling with graphical models with an emphasis on applications in machine learning, uncertain reasoning and information retrieval.

582443 Game Theoretic Concepts in Computer Science (3 cu) In English
Lectures: Floris Geerts, PhD 16 Sept - 6 Nov Tue 12-14, Thu 12-14 A414
This course covers techniques in the interface between algorithms and game theory. Topics will include Nash equilibrium, refinements of equilibrium concepts, mechanism design, worst-case equilibria and "the price of anarchy", combinatorial auctions, evolutionary game theory and repeated games and economic aspects of the structure of the Internet graph, privacy and clustering. Project work will be part of the course.

581359 Ohjelmistoprosessit ja ohjelmistojen laatu (Software Processes and Quality) (3 cu)
Lectures: Professor Inkeri Verkamo 30 Sept - 20 Nov Tue 8-10, Thu 8-10 A414
Important software process models and components and metrics of software quality.
Course literature: Fenton N. E., Pfleeger S. L.: Software Metrics: A Rigorous and Practical Approach (2nd ed.), International Thomson Computer Press, 1997.
Verkamo, I: Ohjelmistotuotannon perusmalleja (teacher's compendium), UH/Computer Science Dept., 2000.

582417 Hajautetut järjestelmät (Distributed systems, 3 cu))
Lectures: Professor Timo Alanko 7 Oct - 5 Dec Tue 16-18, Fri 12-14 A217
Problems of distribution, solution principles in distributed systems, examples from operating systems. Course literature: Tanenbaum A.S., van Steen M.: Distributed Systems, Principles and Paradigms, Prentice-Hall 2003.

581365 Tietokoneen rakenne (Computer Architecture, 2 cu)
Lectures: Lecturer Teemu Kerola 16 Sept - 23 Oct Tue 14-16, Thu 8-10 A217
Hardware features such as the structure of machine languages, implementation of processors and memory hierarchies. Prerequisites: Computer Organisation (or corresponding knowledge).
Course literature: Stallings W.: Computer Organization and Architecture (6th ed.), Prentice Hall, 2003.

581363 Tietoliikenne II (Data Communications II, 2 cu)
Lectures: Lecturer Liisa Marttinen 16 Sept - 23 Oct Tue 10-12, Thu 14-16 A217 (Tue 7 and 14 Oct B450)
The aim of the course is to acquaint ourselves with some systems of data communications, to understand the principles of linking, networks and transferral protocols and their problem solving solutions. Some protocols that will be used as examples are IPv4, IPv6 and TCP.
Course literature: Kurose J. F., Ross K. W.: Computer Networking A Top-Down Approach Featuring the Internet, Addison-Wesley, 2001.

581366 An Introduction to Specification and Verification (2 cu) In English
Lectures: PhD Asst Matti Luukkainen 24 Sept - 26 Nov Wed 14-16 C454
Introduction to formal methods for specifying and verifying concurrent systems. The course takes the form of a seminar and students are expected to participate actively. Course reading: Doron Peled: Software reliability methods, Springer, 2001.

582438 Middleware Standards for Mobile Computing (2 cu) In English
Lectures: Professor Kimmo Raatikainen 12 Sept - 28 Nov Fri 9-11 B450
The course examines recent developments from several standardization forums including Open Mobile Alliance, W3C, Java Community Process, OASIS, and Liberty Alliance Project.

582445 Distributed Transaction Management (Hajautettujen transaktioiden hallinta) (3 cu) In English
Lectures: Professor (University of Tampere) Jyrki Nummenmaa, Jan Lindström, PhD 7 Oct - 25 Nov (not 21 Oct) Tue 10-12 A217
The course deals with problems in distributed transaction management. The topics include basic transaction management, commit protocols, lock management, Internet transaction management and methods for managing long transactions such as design transactions.
The course is arranged as a part of a national video-based virtual university project (OSCu).

582449 Peer-to-peer Computing (2-3 cu) In English
Lectures: Stefano Campadello, PhD, Heikki Helin, PhD 11 Sept - 4 Dec Thu 16-18 A414 The course covers general introduction to peer-to-peer computing, including models, techniques, and algorithms for peer-to-peer architectures. Additionally, several case studies of peer-to-peer architectures will be presented. The course offers the opportunity to participate in an optional project work (1 cu).

581353 Tietokannan mallinnus (Database Modelling, 2 cu)

Lectures: Senior Assistant Satu Eloranta 11 Sept - 13 Nov Thu 12-14 C454
Database design theory: functional and inclusion dependencies, normalization of database schemas. Modelling of database operations: relational calculus, object calculus.

582444 Special Course on Data Mining (3 cu) In English
Lectures: Bart Goethals, PhD 29 Oct - 4 Dec Wed 12-14, Thu 12-14 A217
The course focuses on the discovery of frequent patterns. Association rules. Apriori algorithm. Episodes. Levelwise search. Complexity of finding frequent patterns. Closed sets and generators. The course will include a project assignment.

581274 Paikkatietojärjestelmät (Spatial Information Systems) (3 cu)
Lectures: Professor Seppo Sippu 16 Sept - 23 Oct Tue, Thu 14-16 A414
Modelling spatial data. Topological relationships. Spatial database models based on planar graphs. Index structures for spatial databases. Spatial queries.

582440 Sanojen merkitykset (The meaning of words, 2 cu)
Lectures: University Lecturer Jussi Piitulainen 3 Nov - 10 Dec Mon, Wed 10-12 A414
Presenting word meanings and their inter-relations in data warehouses like Wordnet, on the one hand, and based on corpuses, on the other. Choosing suitable meanings in a text.

582446 Context-Aware Computing (3 cu) In English
Lectures: Research Coordinator Patrik Floréen, Research Coordinator Greger Lindén, Professor Henry Tirri, Professor Hannu Toivonen 15 - 24 Sept Mon 16-18 A414, Wed 16-18 A414, 27 Oct Mon 16-18 A414, 20 - 21 Nov Thu 9-16 A320, Fri 9-16 A414. The maximum number of students is 30.
The course gives a concise introduction to context-aware computing. A context-aware application may automatically adapt to the discovered context by changing its behaviour. The course consists of introductory lectures, group work and student presentations.

581339 Kolme käsitettä: päätöksenteko (Three concepts: utility, 3 cu)
581286 Kolme käsitettä: informaatio (Three concepts: Information, 4 cu)
Those interested in completing these courses should contact the person in charge of the intelligent systems specialization area, Professor Petri Myllymäki.

Seminars

Registration during the spring term 2003. If the seminar is not fully booked by the deadline, you may register later by contacting the person in charge after the deadline.

58303301 Algorithms for Ad Hoc Networking (2 cu) In English
Research Coordinator Patrik Floréen 15 Sept - 8 Dec Mon 10-12 A320

58303302 Automatisoitu musiikin analyysi ja haku: mallinnus ja algoritmeja (Automated musical analysis: modelling and algorithms, 2 cu)
PhD Asst Kjell Lemström 3 - 27 Nov Mon 11-14, Thu 13-16 B453

58303303 Kognitiivinen tekoäly (Cognitive artificial intelligence, 2 cu)
Pauli Salo, PhLic 18 Sept - 10 Dec Thu 14-16 A319

58303304 Ohjelmistotuotanto ja tietokonepelit (Software and computer games, 2 cu)
Lecturer Juha Vihavainen 18 Sept - 4 Dec Thu 14-16 A318

58303305 Käyttöliittymän suunnitteluprosessi: tavoitteista käyttöliittymäratkaisuun (The user interface design process: from goals to solution, 2 cu)
University Lecturer Sari A. Laakso and Antti Latva-Koivisto, MSc (Tech) 12 Sept and 10 Oct - 14 Nov Tue, Fri 10-12 A216

58303306 Ohjelmistojen vaatimusmäärittely (Specification of software requirements. 2 cu)
Professor Jukka Paakki 16 Sept - 9 Dec Tue 14-16 A320

58303307 Transport of Multimedia Streams in the Wireless Internet (2 cu) In English
University Lecturer Jukka Manner 17 Sept - 10 Dec Wed 16-18 B453

58303308 Selected Topics in Information Security (2 cu) In English
Pradip Lamsal, MSc (Tech) Fri 12 Sept 10-12, Fri 31 Oct 10-12, Fri 12 Dec 8-16 A319

58303309 Reflektiiviset väliohjelmistot (Reflective middleware, 2 cu)
Professor Lea Kutvonen 15 Sept - 8 Dec Mon 14-16 B450

58303310 Tiedonhakumenetelmien klassikoita (Classics in data mining, 2 cu)
Professor Helena Ahonen-Myka 16 Sept - 2 Dec Tue 10-12 A320

58303311 Tiedon louhinta biomolekyyliaineistoista (Data mining from biomolecular data, 2 cu)
Professor Hannu Toivonen Mon 15 Sept 10-12, Mon 20 Oct 9-12 B453, Mon 1 Dec and Tue 2 Dec 9-17 (room to be announced)

58303312 Sähköinen hallinto (Electronic administration, 2 cu)
Docent Juha Puustjärvi 22 Sept - 8 Dec Mon 8-10 A320

58303313 Verkko-oppimisyhteisöt (Online learning communities, 2 cu)
University Lecturer Jaakko Kurhila 15 Sept - 8 Dec Mon 16-18 C454

58303314 Concurrency Control and Recovery in Database Index Structures (2 cu) In English
Ibrahim Jaluta, DSc (Tech) 15 Sept - 8 Dec Mon 14-16 A320

SPRING TERM 2004

For contents of some courses, see Autumn term.

Cum Laude Approbatur / compulsory courses

581324 Tietokone työvälineenä (Introduction to the Use of Computers, 2 cu)
Lectures: Amanuensis Juhani Haavisto 23 Jan - 20 Feb Fri 8-11 A217

581384 Introduction to the use of computers (2 cu) In English.
Lectures: Teacher Krishnan Narayanan 20 Jan - 23 Mar Tue 12-14 A320
This basic course gives a practical introduction Thu the use of computers. It covers such areas as the basics of Unix and Windows, WWW and HTML, e-mail, news groups, text and image processing and spreadsheet computation. The course gives essential background for further computer science courses.

581325 Ohjelmoinnin perusteet (Introduction to Programming, 3 cu)
Lectures: University Lecturer Tomi Pasanen 20 Jan - 11 Mar Tue, Thu 14-16 Auditorium 581326 Java-ohjelmointi (Programming in Java, 2 cu)
Lectures: University Lecturer Tomi Pasanen 16 Mar - 29 Apr Tue, Thu 14-16 Auditorium

581328 Tietokantojen perusteet (Introduction to Databases, 2 cu)
(especially for major subject students)
Lectures: Lecturer Harri Laine 19 Jan - 23 Feb Mon 12-14 Auditorium
Partially an online course; lectures only on the most difficult parts of the course.

581328 Introduction to Databases (2 cu) In English
Lectures: Lecturer Harri Laine 21 Jan - 25 Feb Wed 10-12 Auditorium The course will explain the basic concepts of databases, what databases are, and how they are used. It concentrates on relational databases. The main emphasis is on the SQL database language. A short introduction to the design of relational databases is included. The course is mainly based on e-learning material. There are only a couple of lectures, covering the most essential topics.

581327 Johdatus sovellussuunnitteluun (Introduction to Application Design, 2 cu)
Lectures: Asst Jukka Viljamaa 15 Mar - 29 Apr Mon 16-18 Auditorium

581305 Tietokoneen toiminta (Computer Organization, 2 cu)
Lectures: Lab Engineer Tiina Niklander 15 Mar - 28 Apr Mon 12-14, Wed 10-12 Auditorium

581332 Rinnakkaisohjelmistot (Parallel systems, 2 cu)
Lectures: Lecturer Liisa Marttinen 16 Mar - 29 Apr Tue, Thu 12-14 Auditorium

581330 Ohjelmoinnin ja laskennan perusmallit (Models for Programming and Computing, 2 cu)
Lectures: Asst Tuomo Malinen 21 Jan - 26 Feb Wed 12-14, Thu 12-14 Auditorium

58131 Tietorakenteet (Data Structures, 4 cu)
Lectures: PhD Asst Matti Luukkainen 19 Jan - 7 Apr Mon, Wed 14-16 Auditorium

581333 Tietoliikenne I (Data Communications I, 2 cu)
Lectures: Lecturer Liisa Marttinen 19 Jan - 26 Feb Mon, Thu 10-12 Auditorium
Introduction to basic concepts and services in data communications, their basic problems and principles for solutions.
Course literature: Kurose J. F., Ross K. W.: Computer Networking, A top-Down Approach Featuring the Internet, Addison-Wesley, 2001.

581334 Tietokannan hallinta (Database Management, 2 cu)
Lectures: Jan Lindström, PhD 15 Mar - 29 Apr Mon, Thu 10-12 Auditorium

58110 Tieteellisen kirjoittamisen kurssi (Scientific Writing, 4 cu)
(only for major subject and minor Laudatur students)
Lectures: Professor Lea Kutvonen 19 Jan - 1 Mar Mon 12-14 A217
Exercise groups: 19 Jan - 7 May (Registration 10-28 Nov 2003)

581259 Ohjelmistotuotanto (Software Engineering, 3 cu)
Lectures: Professor Inkeri Verkamo 19 Jan - 10 Mar Mon, Wed 16-18 Auditorium

581260 Ohjelmistotuotantoprojekti (Software Engineering Project, 6 cu)
Persons in charge: NN and Teacher Turjo Tuohiniemi
Group meetings during weeks 3-19. Registration 10 - 28 Nov 2003.

58160 Ohjelmoinnin harjoitustyö (Programming Project, 2 cu)
Person in charge: Lecturer Arto Wikla
The work may be performed during either
Lectures: 19 - 20 Jan Mon, Tue 16-18 A414
Project groups: 19 Jan - 27 Feb
or
Lectures: 15 - 16 Mar Mon, Tue 16-18 Auditorium
Project groups: 15 Mar - 30 Apr

581329 Tietokantasovellusten harjoitustyö (Database Application Project, 2 cu)
Person in charge: University Lecturer Pirjo Moen
The work may be performed during either
Lectures: 19 Jan Mon 14-16 A217 initial lecture, 28 Jan Wed 14-16 A217 technical lecture
Project groups:19 Jan - 27 Feb
or
Lectures: 15 Mar Mon 14-16 A217 inital lecture, 24 Mar Wed 14-16 A217 technical lecture
Project groups: 15 Mar - 30 Apr

58161 Tietorakenteiden harjoitustyö (Data Structures Project, 2 cu)
Person in charge: Professor Otto Nurmi
Project groups: 19 Jan - 7 May

Cum Laude Approbatur / optional courses

581387 Tietotekniikka: nyt! (Information Technology: Now!, 2 cu)
Person in charge: Professor Jukka Paakki 21 Jan - 5 May Wed 16-18 Auditorium
This is a Studia Generalia type lecture course, where experts from IT businesses and other organisations discuss the present state of the field, as well as its future development. In addition to active participation in the lectures, you are required to write essays based on the lectures.

581391 Käyttöliittymät (User Interfaces, 4 cu)
Lectures: University Lecturer Sari A. Laakso 23 Jan - 27 Feb Tue, Fri 10-12 Auditorium
A practical course on goal-based design of graphical user interfaces (GUIs) and web user interfaces. In addition to user interface design, we will practise goal-based prototyping, demo techniques and usability testing, and study basic concepts of cognitive psychology applied to user interface design.
.

582302 Digitaalisen median tekniikat (Techniques for digital media, 2 cu)
Lectures: Lecturer Harri Laine 17 Mar - 30 Apr Wed 12-14, Fri 10-12 Auditorium
Implementation of web pages, especially management of dynamic and interactive pages, formatting with style sheets. Programming work. The courses Techniques for Digital Media and Techniques for New Media Applications (old course) cannot both be included in one degree.

582309 Ohjelmointitekniikka (Java) (Software Design (Java), 3 cu)
Lectures: Lecturer Arto Wikla 20 Jan - 12 Mar Tue, Fri 12-14 Auditorium
Advanced features of Java. Prerequisites: Programming in Java, Data structures, Concurrent systems. We will be experimenting with modern learning methods at this course. There will be a great deal of team work, and large and small compulsory assignments. There will not be as many lectures as noted above, but the lectures will be held at those times. The exercise groups during 20 Jan - 12 Mar will meet for more than the customary two hours a week. The number of participants may have to be restricted.
Course literature: C.S.Horstmann, G.Cornell: Core Java 2, Volume II - Advanced Features. Prentice-Hall, 2003.

581264 Tutkimustiedonhallinnan peruskurssi (Management of Research Data)(3 cu)
Lectures: Professor Hannu Toivonen 16 Mar - 29 Apr Tue, Thu 10-12 A217
Introduction to using databases in research data management and the basics of computational models for data analysis. Prerequisites are basic knowledge and skills in programming. The course includes an exercise that can be done on individual material.

582303 Verkkosovellusten toteuttaminen (Network Programming, 4 cu)
Lectures: Lecturer Markku Kojo 20 Jan - 25 Mar Tue, Thu 12-14 A414
Programming work: 23 Feb - 7 May
Practical skills for designing and implementing application using computer networks. Application generation in UNIX. Prerequisites: Programming in C, Concurrent Systems, Operating Systems I, Data Communications I, Basics of data Communication, Data Structures Project or corresponding skills. The course includes a programming work. The number of students is limited. NB! Preregistration in November 2002.
Course literature: Stevens W. R.: UNIX Network Programming, Volume 1 (2nd ed.), Prentice-Hall, 1998.

Laudatur

58053 Algoritmien suunnittelu ja analyysi (Design and Analysis of Algorithms)(5 cu)
Lectures: Professor Jyrki Kivinen 21 Jan - 7 May Wed 14-16, Fri 10-12 A414
Analysis techniques. Design techniques. Fundamental problems and solutions. Approximate, random and concurrent algorithms.

582441 Kombinatorinen optimointi (Combinatorial optimisation, 5 cu)
Lectures: Professor Otto Nurmi 20 Jan - 30 Apr Tue 14-16. Fri 12-14 B450
Efficient algorithms for searching the optimal solution from a finite set: linear and integer programming; path, flow, matching, covering, transportation, and assignment problems; matroids and the greedy method; approximation algorithms. Basic knowledge of linear algebra and algorithm analysis is useful in the course.

582447 Topics in Computational Biology (2 cu) In English
Lectures: Academy Professor Esko Ukkonen 21 Jan - 26Feb Wed 10-12, Thu 10-12 A217
The course covers algorithmic methods for some data analysis problems of current interest in computational biology.

582450 Modelling of Perception (3 cu) In English
Lectures: Docent Aapo Hyvärinen, Professor Jouko Lampinen (HUT), Kaisa Tiippana, PhD (HUT).
The course will be arranged in cooperation with the Helsinki University of Technology. The schedule will be indicated later; part of the lectures will be held in Otaniemi. The topics of the course are mechanisms and modelling of human perception. The emphasis is on modelling of visual feature extraction, and modelling of object and scene recognition. The human visual system and other topics dealing with modelling of visual perception are also included. The course is most suitable to students specializing in bioinformatics or intelligent systems.

582418 Proof Theory and Proof Search (3 cu) In English
Lectures: Sara Negri, PhD 20 Jan - 20 Apr (not 2 Mar) Tue 10-12 Main Buiilding, auditorium XI
The course gives a concise introduction to the central methods and results of structural proof theory. Special emphasis is given to the design of logical calculi supporting proof-search. The course includes exercise and demo sessions with the use of an interactive proof-editor for sequent calculus. Expected background is an introductory course in logic.
Course literature: "Structural Proof Theory", S. Negri and J. von Plato, Cambridge U.P. 2001.

581287 Kolme käsitettä: todennäköisyys (Three concepts: Probability, 3 cu)
Lectures: Professor Petri Myllymäki 16 Mar - 11 May Tue 16-19 A217
An introsuction to the theory of probability calculus and its application in computer science. The use and additional material of the B-Course tool (http://b-course.hiit.fi) are part of the course, as are project assignments where you will need programming skills, and written assignments.

58037 Tietokoneavusteiset oppimisympäristöt (Computer-Aided Learning Environments)(4 cu)
Lectures: University Lecturer Jaakko Kurhila 22 Jan - 1 Apr Thu 10-12 A414
A web course. The initial meeting will be held on 23 Jan at 10-14, after that an instruction meeting every second week (Thu 10-12). The number of participants may have to be limited. Design, implementation and evaluation of web education. Web education, group working software and web-learning platforms. The realisation of remote presence and adaptivity in a web-learning environment. Examples of web-learning environments in use and under development.

581358 Ohjelmistoarkkitehtuurit (Software Architectures, 3 cu)
Lectures: University Lecturer Juha Taina 12 Mar - 12 May Wed 16-18, Fri 8-10 A217
Software architectures represent a higher level abstraction of software components and their communication (higher than the module component level). Architecture models, description of architectures, analysis and design. Prerequisites: Software Engineering.

581362 Ohjelmointikielten periaatteet (Principles of programming languages, 4 cu)
Lectures: Lecturer Juha Vihavainen 20 Jan - 11 Mar Tue, Thu 14-16 A217
Concepts and structures of programming languages, their development and implementation, programming paradigms.
Course literature: M. Scott: Programming Language Pragmatics, Morgan Kaufmann, 2000.

582425 Laudatur-projektityö (Laudatur project, 4 cu)
Person in charge: Professor Inkeri Verkamo
Initial meeting 20 Jan Tue 16-18 A319
Project working according to a measured and supervised process, to specify, design and implement software following the principles of a software project process. Prerequisite skills: Software processes and software quality.

582405 Käyttöjärjestelmät II (Operating systems II, 2 cu)
Lectures: Lecturer Teemu Kerola 15 Mar - 28 Apr Mon 10-12, Wed 12-14 A217
The goal is to understand the basic structure of a user interface and its implementation principles. The course explores the subject from the implementator's viewpoint. Prerequisites: Operating systems I and Concurrent systems.
Course literature: Stallings, W.: Operating Systems, 4th ed. Prentice Hall, 2001.

581366 Spesifioinnin ja verifioinnin perusteet (Basics of Specification and Verification, 2 cu)
Lectures: University Lecturer Timo Karvi 19 Jan - 25 Feb Mon 14-16, Wed 12-14 A414
Modelling processes to transition systems, automatic verification (using some given software).

581288 Tietoturva (Network Security, 3 cu)
Lectures: University Lecturer Timo Karvi 10 Mar - 7 May Wed 10-12, Fri 12-14 A217
Cryptography, public key cryptography and applications, data security protocols. Data security in TCP/IP networks.
Course literature: Bishop, M.: Computer Security, Addison-Wesley 2003.

582422 Väliohjelmistot (Middleware, 3 cu)
Lectures: Professor Lea Kutvonen 16 Mar - 30 Apr Tue, Fri 10-12 B450
Middleware functions on top of operating system and data communications services, aiding applications in localising and activating services and in communication. Current middleware aims to support component-based software. The course examines some of the goals, problems and solutions in middleware, e.g. CORBA- and/or Java-based middleware. The course consists of lectures and exercises, which comprise essays to be presented orally to the group.

582425 Tosiaikajärjestelmät (Real-time systems, 3 cu)
Lectures: Lab Engineer Tiina Niklander 20 Jan - 12 Mar Tue, Fri 12-14 B453
Basic features that are essential to the functionality of real-time systems, like timing and communication. Real-time operating systems and databases.
Course literature: Jane W.S. Liu Real-time systems. Prentice Hall, 2000.

581372 Suorituskykyanalyysi (Performance analysis, 2 cu)
Lectures: Professor Timo Alanko 22 Jan - 1 Apr Thu 12-14 A217
Basic methods for performance analysis of computer systems; measuring system workloads, capacity planning, estimating a system's performance. Basic methods for analysis.

582442 Web Services Architecture (4 cu) In English
Lectures: Project Manager Suresh Chande 19 Jan - 18 Mar Mon 16-18, Thu 16-18 B450
This course introduces the different Web Architectures and gives an in-depth understanding of the various current and upcoming Web Service technologies in the Web Services arena. Strengths and pitfalls of the technologies will be covered too.

582407 Software Agent Technology (3 cu) In English
Lectures: Professor (University of Tampere) Roope Raisamo and Heimo Laamanen, PhLic 19 Jan - 10 May Mon 14-16 B450
The course provides students with a basic knowledge of software agent technology, dealing with software agents (different specifications, architectures, programming languages), communication between software agents, software agent platforms, ontologies and software agent applications. The course consists of lectures and exercises, and is carried out in a national video-based virtual university project (OSCu).

581356 Ohjelmistoliiketoimintaprojekti (Commercialization of Software, 2 cu)
Lectures and exercises: Professor Eero Hyvönen 22 Jan - 6 May Thu 16-20 A217
Transfer processes of software technology, funding, IPR, marketing, commerce, distribution, business activity models. teaching starts out with lectures and guest talks from business representatives. Project work: a business plan for software industry, which the project group presents to the other students, who evaluate the presentation in the role of financiers and customers.
Course literature: McKinsey & Company, Ideasta kasvuyritykseksi, WSOY, 2000.

581354 Tietokantarakenteet ja -algoritmit (Database Structures and Algorithms, 4 cu)
Lectures: Professor Seppo Sippu 20 Jan - 15 Apr Tue, Thu 14-16 A414
Databases and transactions. Recovery from failures. Concurrency control. Recovery and concurrency control of physical database structures. Query processing. Distributed database management.

582424 Tekstiaineistojen tilastosuureita (Statistical Quantities in Text Data, 2 cu)
Lectures: University Lecturer Jussi Piitulainen 19 Jan - 25 Feb Mon, Wed 10-12 A414
The frequency of both conjoined and separate words in text data, rare words, relation of information between words, significance of conjoined words.

581257 Tiedonhakumenetelmät (Information Retrieval Methods, 3 cu)
Lectures: Professor Helena Ahonen-Myka 16 Mar - 29 AprTue 12-14, Thu 10-12 B450
Traditional retrieval methods and concepts concerning network use: browsing, information filtering, digital libraries. Project assignment.

582448 Tiedon louhinnan menetelmät (Methods for data mining, 3 cu)
Lectures: University Lecturer Pirjo Moen, initial lecture 20 Jan Tue 12-14 A217, further lectures to be announced in the spring teaching programme.
The main concepts and methods as well as the process of data mining. The course includes both theoretical and practical material. The course will apply so-called investigating learning, i.e. most of the course work consists of solving problems in individual groups.
Course literature: Han, J., Kamber, M., Data mining: concepts and techniques. Morgan Kaufmann, 2001.

Seminars

Registration during 10 - 28 Nov 2003. Some seminars may not be fully booked; please contact the lecturer after the registration time has ended.

58304101 Muistihierarkia-algoritmit (Algorithms of memory hierarchies, 2 cu)
PhD Asst Juha Kärkkäinen 20 Jan - 4 May Tue 10-12A319

58304102 Hajautettu tekoäly (Distributed artificial intelligence, 2 cu)
University Lecturer Raul Hakli 22 Jan - 6 May Thu 10-12 A320

58304103 Skriptikielet (Script languages, 2 cu)
Lecturer Juha Vihavainen 4 Feb - 28 Apr Wed 14-16 C454

58304104 Käyttöliittymät ja suorituskyky (User interfaces and their performance, 2 cu)
Professor Inkeri Verkamo 20 Jan - 4 May Tue 8-10 C454

58304105 Linux-käytttöjärjestelmä-seminaari (Seminar on the Linux OS, 2 cu)br> Professor Kimmo Raatikainen 19 Jan - 26 Apr Mon 16-18 C454

58304106 Research Seminar on Hot Topics in Internet Protocols (2 cu) In English
Professor Kimmo Raatikainen, first meeting Tue 20 Jan 16-18 C454

58304107 Hajautettujen käyttöjärjestelmien menetelmät (Methods for distributed systems, 2 cu)
Professor Timo Alanko 16 Jan - 30 Apr Fri 8-10 A320

58301104 Tietojenkäsittelytieteen historia (History of computer science, 2 cu)
Lecturer Teemu Kerola 22 Jan - 6 May Thu 12-14 B450

58304108 Tietovirtajärjestelmät (Data flow systems, 2 cu)
Professor Seppo Sippu 21 Jan - 6 May Wed 14-16 B450

58304109 Kieliteknologia ja semantiikka (Language technology and semantics, 2 cu)
University Lecturer Jussi Piitulainen 17 Mar - 28 Apr Wed 12-14 A320

58304110 Opetusteknologian tietokantasovellukset (Database applications for e-learning, 2 cu)
Lecturer Harri Laine 21 Jan - 6 May Wed 16-18 B450 (the seminar does not convene every week)

58304111 Research Seminar on Transaction Processing (2 cu) In English
PhD Jan Lindström 19 Jan - 5 Apr Mon 16-18 B453
Course reading: Weikum, G., and Bossen G.: Transactional Information Systems. Theory, Algorithms and the Practice of Concurrency Control and Recovery. Morgan Kaufmann Publishers, 2001.

58304112 Research Themes in Context-Aware Computing (2 cu) In English
Research Coordinator Greger Lindén 13 Jan - 4 May Tue 10-12 A320

58990099 Multidimensional Access Methods in Databases (2 cu) In English
Ibrahim Jaluta, DSc (Tech) 21 Jan - 5 May Mon 12-14 A320

SUMMER 2004

Students can take the following courses during 10 May - 18 June or 27 July - 3 September: Programming Project, Database Applications Project, Data Structures Project. In addition, some software engineering projects will be arranged. Groups meet during weeks 21-35. Registration 5 - 23 April 2004.

In cooperation with the Open University (the Helsinki office), the department arranges courses in the Approbatur module. More information is available in the programme book of the Open University (available in spring 2004).

Computer Science Courses in English

Most courses are offered in Finnish. Some courses are offered in English both at the basic level (Cum Laude Approbatur, years 1 to 3) and at the advanced or post-graduate level (Laudatur). Some courses will be taught by foreign visitors at the department, some by native Finns.

Most examinations, at all levels, can be taken in English if so requested. The examination material will be available in English in such cases. Please contact the teacher responsible for the course two weeks in advance.

All the information here is preliminary. For detailed, up-to-date information please refer to the departmental bulletin boards at the beginning of each semester, the web page http://www.cs.helsinki.fi/instr.engl/fsa/ or contact the Departmental Student Counselling Office, room B439 (4th floor), Department of Computer Science, Teollisuuskatu 23, tel. 191 44222. The courses in this programme that will be lectured in English are marked In English. All courses lectured in English are gathered in the Finnish handbook at http://www.cs.helsinki.fi/u/erkio/ophall/opas_0304_alustava.html#english

The following courses will be lectured in Finnish but we have prepared to offer an exercise group in English during the term indicated below:

At least the following courses are offered in English (lectures, exercise groups etc.) this academic year:

AUTUMN 2003

58127 Programming in C (2 cu)
Lectures: Teacher Krishnan Narayanan 29 Oct - 5 Dec Wed 10-12, Fri 12-14 Auditorio We learn how to program in ANSI C. Prerequisites: Introduction to Programming, Programming in Java, Programming Project or corresponding programming skills. Students are also recommended to have completed (or to take at the same time) the course Data Structures. The course can be completed without these prerequisites but will in that case require a lot of additional work.
Course literature: Müldner T.: C for Java Programmers, Addison Wesley, 2000.

581366 An Introduction to Specification and Verification (2 cu)
Lectures: PhD Assistant Matti Luukkainen 24Sept - 26 Nov Wed 14-16 C454
Introduction to formal methods for specifying and verifying concurrent systems. The course takes the form of a seminar and students are expected to participate actively.
Course reading: Doron Peled: Software reliability methods, Springer, 2001.

582439 Graphical Models (3 cu)
Lectures: Professor Petri Myllymäki, Wray Buntine, PhD 31 Oct - 5 Dec Fri 10-13 A320
During the last decade probabilistic graphical models have become an important modeling formalism in statistics, adaptive and learning systems in computer science and in information theory. This course provides an introduction to probabilistic modeling with graphical models with an emphasis on applications in machine learning, uncertain reasoning and information retrieval.

582443 Game Theoretic Concepts in Computer Science (3 cu)
Lectures: Floris Geerts, PhD 16 Sept - 6 Nov Tue 12-14, Wed 12-14 A414
This course covers techniques in the interface between algorithms and game theory. Topics will include Nash equilibrium, refinements of equilibrium concepts, mechanism design, worst-case equilibria and "the price of anarchy", combinatorial auctions, evolutionary game theory and repeated games and economic aspects of the structure of the Internet graph, privacy and clustering. Project work will be part of the course.

582438 Middleware Standards for Mobile Computing (2 cu)
Lectures: Professor Kimmo Raatikainen 12 Sept - 28 Nov Fri 9-11 B450 The course examines recent developments from several standardization forums including Open Mobile Alliance, W3C, Java Community Process, OASIS, and Liberty Alliance Project.

582445 Distributed Transaction Management (Hajautettujen transaktioiden hallinta) (3 cu)
Lectures: Professor (University of Tampere) Jyrki Nummenmaa, Jan Lindström, PhD 7 Oct - 25 Nov (not 21 Oct) Tue 10-12 A217
The course deals with problems in distributed transaction management. The topics include basic transaction management, commit protocols, lock management, Internet transaction management and methods for managing long transactions such as design transactions.
The course is arranged in a national video-based virtual university project (OSCu).

582449 Peer-to-peer Computing (2-3 cu)
Lectures: Stefano Campadello, PhD, Heikki Helin, PhD 11 Sept - 4 Dec Thu 16-18 A414
The course covers general introduction to peer-to-peer computing, including models, techniques, and algorithms for peer-to-peer architectures. Additionally, several case studies of peer-to-peer architectures will be presented. The course offers the opportunity to participate in an optional project work (1 cu).

582444 Special Course on Data Mining (3 cu)
Lectures: Bart Goethals, PhD 29 Oct - 4 Dec Wed 12-14, Thu 12-14 A217
The course focuses on the discovery of frequent patterns. Association rules. Apriori algorithm. Episodes. Levelwise search. Complexity of finding frequent patterns. Closed sets and generators. The course will include a project work.

582446 Context-Aware Computing (3 cu)
Lectures: Research Coordinator Patrik Floréen, Research Coordinator Greger Lindén, Professor Henry Tirri, Professor Hannu Toivonen 15 Sept - 24 Sept Mon 16-18 A414, Wed 16-18 A414, 27.10. Mon 16-18 A414, 20 - 21 Nov Thu 9-16 A320, Fri 9-16 A414.
The maximum number of students is 30.
The course gives a concise introduction to context-aware computing. A context-aware application may automatically adapt to the discovered context by changing its behaviour. The course consists of introductory lectures, group work and student presentations.

SPRING 2004

581384 Introduction to the Use of Computers (2 cu)
Lectures: Teacher Krishnan Narayanan 20 Jan - 23 Mar Tue 12-14 A215
This basic course gives a practical introdution to the use of computers. It covers such areas as the basics of Unix and Windows, WWW and HTML, e-mail, news groups, text and image processing and spreadsheet computation. The course gives essential background for further computer science courses.

581328 Introduction to Databases (2 cu)
Teacher: Lecturer Harri Laine 21 Jan - 25 Feb Wed 10-12 Auditorium
The course will explain the basic concepts of databases, what databases are, and how they are used. It concentrates on relational databases. The main emphasis is on the SQL database language. A short introduction to the design of relational databases is included. The course is mainly based on e-learning material. There are only a couple of lectures, covering the most essential topics.

582447 Topics in Computational Biology (2 cu)
Lectures: Academy Professor Esko Ukkonen 21 Jan - 26 Feb Wed 10-12, Thu 10-12 A217
The course covers algorithmic methods for some data analysis problems of current interest in computational biology.

582450 Modelling of Perception (3 cu)
Lectures: Docent Aapo Hyvärinen, Professor Jouko Lampinen (HUT), PhD Kaisa Tiippana (HUT).
The course will be arranged in cooperation with the Helsinki University of Technology. The schedule will be indicated later; part of the lectures will be held in Otaniemi. The topics of the course are mechanisms and modelling of human perception. The emphasis is on modelling of visual feature extraction, and modelling of object and scene recognition. The human visual system and other topics dealing with modelling of visual perception are also included. The course is most suitable to students specializing in bioinformatics or intelligent systems.

582418 Proof Theory and Proof Search (3 cu)
Lectures: PhD Sara Negri 20 Jan - 20 Apr (not 2 Mar) Tue 10-12 Main Building auditorium XI
The course gives a concise introduction to the central methods and results of structural proof theory. Special emphasis is given to the design of logical calculi supporting proof-search. The course includes exercise and demo sessions with the use of an interactive proof-editor for sequent calculus. Expected background is an introductory course in logic.
Course literature: "Structural Proof Theory", S. Negri and J. von Plato, Cambridge U.P. 2001.

582407 Software Agent Technology (3 cu)
Lectures: Professor (University of Tampere) Roope Raisamo and Heimo Laamanen, PhLic 19 Jan - 10 May Mon 14-16 B450
The course provides students with a basic knowledge of software agent technology, dealing with software agents (different specifications, architectures, programming languages), communication between software agents, software agent platforms, ontologies and software agent applications. The course consists of lectures and exercises, and is carried out in a national video-based virtual university project (OSCu).

582442 Web Services Architecture (4 cu)
Lectures: Project Manager Suresh Chande 19 Jan - 18 Mar Mon 16-18, Thu 16-18 B450
This course introduces the different Web Architectures and gives an in-depth understanding of the various current and upcoming Web Service technologies in the Web Services arena. Strengths and pitfalls of the technologies will be covered too.

AUTUMN 2003

581325 Introduction to Programming
581326 Programming in Java
581327 Introduction to Application Design
58131 Data Structures
581331 Operating Systems I
581332 Concurrent Systems

SPRING 2004

58160 Programming Project
581329 Database Application Project
581330 Models of Programming and Computing
581305 Computer Organization I
58110 Scientific Writing
581333 Data Communications I
58161 Data Structures Project
581334 Database Management
581259 Software Engineering

Descriptions of the courses will be available on their web pages.

For other courses, an exercise group in English or some other advice might be available according to demand.

Foreign Student Advisor:
Dept of Computer Science
PO Box 26 (Teollisuuskatu 23)
FIN-00014 University of Helsinki
Finland
fax. +358 9 191 44441
E-mail: fsa@cs.Helsinki.fi
http://www.cs.Helsinki.fi/instr.engl/

Den svenskspråkiga undervisningen i datavetenskap (Teaching in Swedish)

I datavetenskap ordnas en svenskspråkig mikroövningsgrupp i anslutning till kursen Introduktion till datorn som arbetsredskap (Tietokone työvälineenä) som föreläses på finska. På hösten och våren ordnas vid behov även svenskspråkig handledning i kursen Att skriva vetenskaplig text (Tieteellinen kirjoittaminen). Se även http://www.cs.helsinki.fi/svenska/.

Observera att på finskspråkiga kurser kan tentamensuppgifterna erhållas även på svenska, om studeranden ber om detta av föreläsaren i tillräckligt god tid före tentamensdagen. Alla tentamina får besvaras på svenska.

Undervisning

HÖSTTERMINEN

581357 Introduktion till datorn som arbetsredskap (2 sv)
Föreläsningar: Lekt. Anni Rytkönen 1.9 - 2.9 mån, tis 10-12 och 8.9.-9.9. mån, tis Auditoriet
Kursen föreläses på finska men en svenskspråkig övningsgrupp arrangeras vid behov. Kursen ger viktiga grundkunskaper för övriga kurser i datavetenskap, bl.a. på följande områden: Grunderna i Unix och Windows, WWW, elektronisk post, nyhetsgrupper, text- och bildbehandling samt kalkylberäkning. Föreläsningarna behandlar principerna för dessa program och består till stor del av demonstrationer.

58110 Att skriva vetenskaplig text (4 sv)
Föreläsningar: professor Lea Kutvonen 8.9 och 22.9.-27.10 mån 14-16 samt 11.9. tor 14-16 A217
Arbetsgrupper 10.9 - 9.12 (Anmälning våren 2002.)
På kursen lär vi oss skriva vetenskapliga texter (avhandlingar, rapporter, övriga publikationer), söka efter källmaterial, strukturering av det vi skriver samt muntlig framställning. Kursen föreläses på finska, men svenskspråkig handledning arrangeras vid behov. Har du avlagt studentexamen på svenska skall du även avlägga Att skriva vetenskaplig text på svenska.

VÅRTERMINEN

58110 Att skriva vetenskaplig text (4 sv)
Föreläsningar: professor Lea Kutvonen 19.1-1.3 mån 12-14 A217
Arbetsgrupper: 19.1 - 7.5 (Anmälning 10-28.11 2003)

Teachers

You may contact the teachers during their regular office hours at the department (Teollisuuskatu 23). Office hours not mentioned in the following list may be found on notice-board nr. 8 on the 4th floor or on the WWW page http://www.cs.helsinki.fi/ihmiset/vastaanottoajat.html and at the office (by the door) of each teacher.


Ahonen-Myka, Helena, PhD, Professor
Alanko, Timo, PhD, Professor
Elomaa, Tapio, PhD, Docent, Professor at Tampere University of Technology
Eloranta, Satu, MSc, Senior Assistant
Erkiö, Hannu, PhD, Professor, Docent
Eskola, Jukka, MSc, Assistant
Floréen, Patrik, PhD, Docent, University Lecturer (on leave of absence), Research Coordinator
Gurtov, Andrei, PhLic, Assistant
Haavisto, Juhani, Departmental Co-ordinator
Hakli, Raul, MSc, University Lecturer
Heinonen, Oskari, MSc, Assistant
Huovinen, Marja, Amanuensis
Hyvönen, Eero, DSc (Tech), Professor, Docent
Häkkinen, Auvo, MSc, Lecturer
Jaakkola, Jani, IT Specialist
Karimäki-Suvanto, Päivi, MA, Office Manager
Karvi, Timo, PhD, University Lecturer
Kerola, Teemu, PhD, Lecturer
Kivinen, Jyrki, PhD, Professor
Kojo, Markku, MSc, Lecturer (leave of absence during autumn term)
Koskimies, Kai, PhD, Docent, Professor at Tampere University of Technology
Kujala, Teija, MSc, Department Co-ordinator (on leave of absence) Researcher
Kurhila, Jaakko, PhD, University Lecturer
Kurtén, Marina, MA, Translator
Kutvonen, Lea, PhD, Professor
Kutvonen, Petri, IT Manager
Kuuppelomäki, Päivi, MSc, Assistant
Kärkkäinen, Juha, PhD, PhD Assistant (on leave of absence during autumn term)
Laakso, Sari A., MSc, University Lecturer
Lahti, Olli, BSc, Assistant
Laine, Harri, PhLic, Lecturer
Lemström, Kjell, PhD, PhD Assistant
Lindén, Greger, PhD, University Lecturer, on leave, Programme Co-ordinator
Lindström, Jan, PhD, Assistant, on leave
Lokki, Heikki, PhLic, Lecturer
Luukkainen, Matti, PhLic, PhD Assistant
Malinen, Tuomo, MSc, Assistant
Mannila, Heikki, PhD, Docent, Professor at Helsinki University of Technology, Research Manager
Marttinen, Liisa, MSc, Lecturer
Moen, Pirjo, PhD, University Lecturer
Mononen, Tommi, MSc, Assistant
Myllymäki, Petri, PhD, Docent, Professor
Mäkelä, Matti, DSc (Techn), Professor Emeritus
Mäkinen, Veli, MSc, PhD Assistant
Niklander, Pekka, IT Specialist
Niklander, Tiina, PhLic, Amanuensis (pn leave of absence), Laboratory Engineer
Nurmi, Otto, Dr.rer.pol., Professor
Nykänen, Matti, PhD, Professor
Orponen, Pekka, PhD, Docent, Professor at Helsinki University of Technology
Paakki, Jukka, PhD, Professor, Head of the Department
Pasanen, Tomi, PhD, University Lecturer
Piitulainen, Jussi, MSc, University Lecturer
Puustjärvi, Juha, PhD, Docent, Research Lecturer at HUT
Raatikainen, Kimmo, PhD, Professor
Raatikka, Vilho, Assistant
Rinta-Mänty, Janne, Assistant
Rousu, Juho, PhD, PhD Assistant (on leave of absence)
Rytkönen, Anni, MSc, Lecturer
Räihä, Kari-Jouko, PhD, Docent, Professor at the University of Tampere
Saarinen, Janne, MA, Information Officer
Silander, Tomi, MSc, Assistant (on leave of absence)
Sippu, Seppo PhD, Professor
Sirén, Jouni, MSc, Assistant
Sivén, Reijo, MSc, Lecturer
Soisalon-Soininen, Eljas, PhD, Docent, Professor at Helsinki University of Technology
Taina, Juha, PhD, University Lecturer
Takala, Tapio, DSc (Tech), Docent, Professor at Helsinki University of Technology
Tarhio, Jorma, PhD, Docent, Professor at Helsinki University of Technology
Tienari, Martti, PhD, Professor Emeritus
Tirri, Henry, PhD, Professor (on leave of absence)
Toivonen, Hannu, PhD, Professor
Ukkonen, Esko, PhD, Professor (on leave of absence), Academy Professor
Valmari, Antti, DSc (Tech), Docent, Professor at Tampere University of Technology
Veijalainen, Jari, Dr.-Ing., Docent, Professor at the University of Jyväskylä
Verkamo, Inkeri, PhD, Professor
Vihavainen, Juha, PhLic, Lecturer
Wikla, Arto, MSc, Lecturer
Viljamaa, Antti, PhLic, Assistant
Viljamaa, Jukka, PhLic, Assistant


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