Students
Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
Not Available
Duration
1 semesters
Details
Program Details
Degree
Masters
Major
Artificial Intelligence | Computer Science | Software Development
Area of study
Information and Communication Technologies
Course Language
English
About Program

Program Overview


Pre-Specialisation in Computer Science

Content, Progress, and Pedagogy of the Module

The project module must be implemented in one of the subject areas: database technology, distributed systems, human-computer interaction, semantics & verification, machine intelligence, programming technology, or system development. The project module must be completed in conjunction with the corresponding specialization course.


Learning Objectives

Knowledge

After completing the project module, the student should be able to:


  • document in-depth knowledge and overview of a current research problem in one of the disciplines:
    • database technology
    • distributed systems
    • human-computer interaction
    • semantics & verification
    • machine intelligence
    • programming technology
    • system development
Skills
  • reason about and with the concepts and techniques concerned
  • apply and create theory courses in the subject area in connection with the formulation and analysis of a problem in the subject area research
  • communicate a current computer science problem and the related conceptual apparatus within the framework of the subject area
Competences
  • be able to use the concepts and reasonings in the subject area to formulate and analyze a problem within a current research problem in the subject area

Type of Instruction

Project work in connection with the field of specialization


Extent and Expected Workload

The student is expected to spend 30 hours per ECTS, which means 600 hours for this activity.


Exam

Exams

Name of exam | Pre-Specialisation in Computer Science ---|--- Type of exam | Oral exam based on a project ECTS | 20 Assessment | 7-point grading scale Type of grading | External examination Criteria of assessment | The criteria of assessment are stated in the Examination Policies and Procedures


Additional Information

Contact: Study Board for Computer Science


Facts about the Module

Danish title | Forspecialisering i datalogi ---|--- Module code | DSNDATK310 Module type | Project Duration | 1 semester Semester | Autumn ECTS | 20 Language of instruction | Danish and English Empty-place Scheme | Yes Location of the lecture | Campus Aalborg Responsible for the module | Lone Leth Thomsen Used in | Studieordning for kandidatuddannelsen i datalogi, 2020, Curriculum for Master of Science (MSc) in Computer Science, 2022


Organisation

Study Board | Study Board of Computer Science ---|--- Department | Department of Computer Science Faculty | The Technical Faculty of IT and Design


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