You will find detailed course information, list of course literature, schedule and start date at Courses and timetables. Select semester in the drop-down menu and search by course name.

 

1st Semester

Mandatory courses 4 x 7,5 credits

Decision Support Methods 7,5 credits

The course aims to provide basic knowledge on decision support methods and decision analysis, ability to structure and evaluate decision problems and to analyse and evaluate different solutions.

Risk Management 7,5 credits

In this course probabilistic as well as non-probabilistic approaches to risk management are presented, and the rationale behind various types of risk analyses are discussed in some detail. The main focus, however, is on examining how the authorities of a modern society copes with risks within their domains. Here special emphasis is placed on financial risks and physical hazards.

Decision Theory 7,5 credits

In this course, the basic ingredients of a decision-theoretic approach to decision problems are presented. Moreover, the concepts of classical decision theory are introduced in some detail and various modern attempts at modifying the classical theory are discussed at some length. Here special emphasis is on presenting Super Soft Decision Theory which by and large has been developed at DSV.

Scientific Communication and Research Methodology 7,5 credits

Computing as a discipline combines three academic traditions: the theoretical tradition, the scientific (experimental) tradition, and the engineering tradition.  Due to that combination, there is no clear methodological tradition in computer science.  This course introduces computer science students to the principles of scientific research: how to design, implement, and report a research study. The main focus of this course is in research design and reporting: students will learn how to align problem statement, aims, objectives, research questions, data collection and analysis, and reporting into a coherent and logically flowing whole.

2nd Semester

Mandatory courses 4 x 7,5 credits

Analysis of Bases for Decisions 7,5 credits

In this course some useful tools from the Theory of Argumentation are presented but the main focus is on applying these tools and the ones introduced in previous courses in detailed examinations of the bases for decisions made by political assemblies and authorities. The student here has the opportunity of selecting decisions that is of particular interest to her.

Risk and Decision Analysis: Special Problems 7,5 credits

The course focuses on applications of risk and decision analytic methods in business and society. Formal risk analysis, uncertainty analysis, and the risk analytic aspects of decision-making under risk and multi-attribute utility theory are central parts of the course.

Logic 7,5 credits

Formal analysis can compensate for the usual ambiguity of normal human reasoning and uncertainties of the human cognition. Furthermore, it can increase the understanding of human communication and assist in avoiding many misunderstandings and misconceptions in real life situations and facilitate the analysis of argumentation and decision-making. This course is an introduction to the principles of correct reasoning as they are manifested in various uses of languages. The course focuses on formal logic and practical applications thereof with the purpose of getting a better capacity to understand many fallacies in reasoning and to practice deductive thinking. To be able to do this, some knowledge of formal languages and rules of deduction is inevitable.

Research Methodology for Computer and Systems Sciences 7,5 credits

Course deals with research strategies (case studies, experiments and survey), methods for data collection (questionnaires, interviews and observations) and software-based analysis (thematic, conversation and interaction analysis). Statistical and mathematical methods include descriptive and inferential statistics. Evaluation of data is included.

3rd Semester

Mandatory courses 1 x 7,5 credits and 1 x 15 credits or Exchange studies (info regarding exchange studies)

Business Intelligence in Computer and Systems Sciences 7,5 credits

Data appears in large volumes in several business applications. Analysing and making sense out of this data is crucial. This course provides the theoretical background as well as hands-on experience on how to apply different knowledge discovery and decision making in several sectors of business intelligence, such as financial data series modelling and customer behaviour analysis.

Methodology of Decision Analysis with Advanced Applications 15 credits

The course focuses on a specific application of a decision support methodology in a domain selected by each student. During the course, the student will apply a modern method on a non-trivial decision problem and evaluate strengths, weaknesses and potential for further development of the method or how it can be applied.

Elective course 1 x 7,5 credits from Eligible Courses Autumn
You can take any course from the course pool where you meet the eligibility requirements.
Recommended course: Open e-governance and e-democracy 7,5 credits

4th Semester

Master Thesis in Computer and Systems Sciences 30 credits