Course syllabus adopted 2021-02-26 by Head of Programme (or corresponding).
Overview
- Swedish nameForskningsinriktad kurs inom data- och informationsteknik
- CodeDAT235
- Credits7.5 Credits
- OwnerMPALG
- Education cycleSecond-cycle
- Main field of studyComputer Science and Engineering, Software Engineering
- DepartmentCOMPUTER SCIENCE AND ENGINEERING
- GradingTH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail
Course round 1
- Teaching language English
- Application code 02133
- Open for exchange studentsNo
- Only students with the course round in the programme overview.
Credit distribution
Module | Sp1 | Sp2 | Sp3 | Sp4 | Summer | Not Sp | Examination dates |
---|---|---|---|---|---|---|---|
0110 Project 7.5 c Grading: TH | 7.5 c |
Examiner
- Ana Bove
- Head of Unit, Computing Science, Computer Science and Engineering
Course round 2
- Teaching language English
- Application code 02131
- Open for exchange studentsNo
- Only students with the course round in the programme overview.
Credit distribution
Module | Sp1 | Sp2 | Sp3 | Sp4 | Summer | Not Sp | Examination dates |
---|---|---|---|---|---|---|---|
0110 Project 7.5 c Grading: TH | 7.5 c |
Examiner
- Ana Bove
- Head of Unit, Computing Science, Computer Science and Engineering
Course round 3
- Teaching language English
- Application code 02124
- Open for exchange studentsNo
- Only students with the course round in the programme overview.
Credit distribution
Module | Sp1 | Sp2 | Sp3 | Sp4 | Summer | Not Sp | Examination dates |
---|---|---|---|---|---|---|---|
0110 Project 7.5 c Grading: TH | 7.5 c |
Examiner
- Ana Bove
- Head of Unit, Computing Science, Computer Science and Engineering
Course round 4
- Teaching language English
- Application code 02132
- Open for exchange studentsNo
- Only students with the course round in the programme overview.
Credit distribution
Module | Sp1 | Sp2 | Sp3 | Sp4 | Summer | Not Sp | Examination dates |
---|---|---|---|---|---|---|---|
0110 Project 7.5 c Grading: TH | 7.5 c |
In programmes
Examiner
- Ana Bove
- Head of Unit, Computing Science, Computer Science and Engineering
Eligibility
General entry requirements for Master's level (second cycle)Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.
Specific entry requirements
English 6 (or by other approved means with the equivalent proficiency level)Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.
Course specific prerequisites
The student shall have a Bachelor's degree in Computer Science and Engineering or equivalent.In addition, a mandatory pre-requisite to take this course is that the student has established a contact with the examiner of the course; it is up to the examiner to decide whether a student is accepted or not to the course.
Aim
This course will deal with an area of current interest in computer science and engineering.The aim of this course is to give the student the chance to follow, for example, a graduate course or a lecture series by a visiting researcher at the department.
Learning outcomes (after completion of the course the student should be able to)
The course shall give the student further knowledge in a research area of relevance to computer science and engineering.Knowledge and understanding
- Master the terminology, concepts and theories associated with the selected area;
- Demonstrate deep knowledge and understanding in the area of the course, and insight into current research and development;
- Demonstrate deep methodological knowledge in the area of the course;
Skills and abilities
- Demonstrate the ability to critically and systematically integrate knowledge and to analyse, assess, and deal with complex issues in the area of the course;
Judgement and approach
- Search for, and extract, necessary information from scientific publications in the selected area of the course, with the purpose of identifying strengths and weakness of solutions, approaches and methodologies.
Content
Research-oriented course in a field of relevance to computer science and engineering.The particular content will be determined prior to each instance of this course and will be made available on the course home page.
Organisation
The organisation of the course may include lectures, tutorials, seminars, and/or labs and supervision in conjunction with these.Literature
The course literature will be given on the course home page.Examination including compulsory elements
The examination might vary on each instance of the course. It might consist of a written or take home exam, assignments, presentation of work in a seminar, or a combination of these.Further information will be given on the course home page.
The course examiner may assess individual students in other ways than what is stated above if there are special reasons for doing so, for example if a student has a decision from Chalmers on educational support due to disability.