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Graduate courses

Departments' graduate courses for PhD-students.

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Syllabus for

Academic year
DAT235 - Research-oriented course in Computer Science and Engineering
 
Syllabus adopted 2014-02-18 by Head of Programme (or corresponding)
Owner: MPALG
7,5 Credits
Grading: TH - Five, Four, Three, Not passed
Education cycle: Second-cycle
Major subject: Computer Science and Engineering, Information Technology
Department: 37 - COMPUTER SCIENCE AND ENGINEERING


Teaching language: English

Course module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 Summer course No Sp
0110 Project 7,5c Grading: TH   7,5c    

In programs

MPALG COMPUTER SCIENCE - ALGORITHMS, LANGUAGES AND LOGIC, MSC PROGR, Year 2 (elective)

Examiner:

Docent  Ana Bove
Professor  Richard Torkar
Universitetslektor  Rolf Snedsböl



Eligibility:


In order to be eligible for a second cycle course the applicant needs to fulfil the general and specific entry requirements of the programme that owns the course. (If the second cycle course is owned by a first cycle programme, second cycle entry requirements apply.)
Exemption from the eligibility requirement: Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling these requirements.

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

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.


Page manager Published: Thu 04 Feb 2021.