Inhoudsopgave 1 Faculty of Sciences 8


Information and Communication Technology (Society oriented variant)



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Information and Communication Technology (Society oriented variant)


This is a variant of the Software Engineering specialization that is aimed at the education of computer scientists considering a career within companies or administrative institutions, rather than at being involved with research. Courses with a more applied character dominate in the curriculum and the final project is in the form of an internship in a professional context, typically a company or a government or non-profit organization. The Information and Communication Technology variant provides students with a broad overview of the field of ICT and a minor in at least one related area, such as economics or computer law.
      1. Compulsory courses





Course code

Course name

Cr.

Period

400130

Distributed Systems

6

1

400107

ICT in a social context

4

1 and 2

400125

Knowledge Management and Modeling

6

1 and 2

400412

Software Asset Management

6

1 and 2

400170

Software Architecture

6

2 and 3

400058

Project Informatiekunde

9

4, 5 en 6

400277

Literature Study

6

Variable

400442

Master Project Computer Science

36

Variable



      1. Compulsory choice Theoretical Computer Science


recommended

Course code

Course name

Cr.

Period

400410

Voortgezette logica

4

4



      1. Compulsory choice Mathematics


at least 4 cp, recommended

Course code

Course name

Cr.

Period

400178

Probability and Statistics

4

5



      1. Optional courses


at least 15 cp
      1. Minor


A minor of at least 16 cp compulsory, broadening the view with courses from, e.g., the economical sciences. The minor has to be discussed and agreed upon with the master coordinator or a personal mentor.
    1. Computer Science and Communication


This specialization is intended for students in Computer Science who want to specialize in communication. The programme consists of two parts: one part is dedicated to training in Computer Science at the master level, the other is dedicated to communication and is shared with students with other bachelor degrees. It focuses on science communication theory and research as well as on science communication in practice. Optional choices include science journalism, museology, the use of internet for science communication and health communication.
Both the Communication part and the Computer Science part include a master project of 21 cp.
The Communication part is taught in Dutch.


Course code

Course name

Cr.

Period

400443

Master Project CS for the Communication Variant

21







Communication part: compulsory courses

Also compulsory is a individual internship/research project (21 cp) and a individual thesis (9 cp).

Course code

Course name

Cr.

Period

471006

Communicatiewetenschappen

6

04.09.2006-29.09.2006

470577

Research Methods

6

04.09.2006-29.09.2006

471014

Wetenschapsjournalistiek (science journalism)

6

30.10.2006-24.11.2006




Communication part: optional courses

At least 12 cp are required.

Course code

Course name

Cr.

Period

470562

Interactive Communication

3

16.10.2006-27.10.2006

471007

Interpersoonlijke communicatie

3

02.10.2006-15.10.2006

470087

Gezondheidscommunicatie

6

04.06.2007 - 29.06.2007

471033

Wetenschapscommunicatie via internet

6

27.11.2006-22.12.2006

471026

Museologie en buitenschoolse educatie

6

27.11.2006-22.12.2006



      1. Computer Science: optional courses


An individual programme of Computer Science courses of 39 cp has to be discussed and agreed upon with the master coordinator or a personal mentor.




  1. Information Sciences (Msc)


The information presented here concerns the structure of the MSc programme in Information Sciences and detailed course information.

More detailed and general information about the master programme - for instance the master coordinator, schedules, etcetera - can be found at the faculty's website.


    1. Compulsory courses


Course code

Course name

Cr.

Period

400290

Qualitative Research Methods for the Information Sciences

3

3

400284

Master Project Information Sciences

30

Variable



    1. Constrained choice of listed IS Master courses


This list of IS Master courses is a 'live' list, reflecting ongoing developments and international IS research at VU. So, it may change over the years, including guest courses, SIKS PhD courses, or other new cursory topics taught by VU staff.
Students need to select a total of 15 cp or more from the following list:


Course code

Course name

Cr.

Period

400110

E-Business Innovation

7

1 and 2

400125

Knowledge Management and Modeling

6

1 and 2

400310

Design of Experiments and Analysis of Variance

2

2

400158

Multimedia Casus

6

2 and 3

400170

Software Architecture

6

2 and 3

400423

Advanced Requirements Engineering

3

3

707115

Tekst- en beeldontwerp

6

3e

400292

Ontology Engineering

3

6



    1. Optional courses


Beyond the compulsory and constrained choice courses, students are free to choose Master courses for a total of 12 cp. If your list of constrained choice courses encompasses more than 15 cp, these cp will count as part of the optional courses.




  1. Mathematics (MSc)


The information presented here concerns the detailed course information of the MSc programme in Mathematics.

More detailed and general information about the master programme - for instance the master coordinator, schedules, etcetera - can be found at the faculty's website.


    1. The joint national programme


The list below describes the information as on May 1 2006. Updates and more details appear on the Mastermath website, which is dedicated to the joint programme in mathematics of the Dutch Universities.


Courses of the joint national programme




Vakcode

Vaknaam

Stp.

Periode

400450

Lie Theory

8

1 and 2

400449

Symplectic Geometry

8

1 and 2

400448

Coding Theory

8

1 and 2

400447

Simulation

6

1 and 2

400446

Continuous Optimization

6

1 and 2

400445

Discrete Optimization

6

1 and 2

400332

Systems and Control

6

1 and 2

400330

Partial Differential Equations

8

1 and 2

400329

Numerical Linear Algebra

8

1 and 2

400328

Functional Analysis

8

1 and 2

400324

Algebraic Number Theory

8

1 and 2

400323

Asymptotic Statistics

8

1 and 2

400244

Measure Theoretic Probability

8

1 and 2

400458

Computer Algebra

8

4 and 5

400457

Discrete Structure

8

4 and 5

400456

Algebraic Geometry

8

4 and 5

400455

Nonparametric Statistics

8

4 and 5

400454

Stochastic Differential Equations

6

4 and 5

400453

Applied Finite Elements

6

4 and 5

400452

Applied Statistics

6

4 and 5

400451

Advanced Modeling

6

4 and 5

400444

Infinite Dimensional Dynamical Systems (PDE)

8

4 and 5

400429

Dynamical Systems

8

4 and 5

400406

Introduction to Stochastic Processes

6

4 and 5

400400

Numerical Methods for PDE

8

4 and 5

400397

Queueing Theory

6

4 and 5

400396

Scheduling

6

4 and 5

400339

Stochastic Processes

8

4 and 5

400326

Advanced Linear Programming

6

4 and 5

400325

Riemann Surfaces

8

4 and 5




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