Course

Project in Computer Science (DAT620)

Fakta

Emnekode DAT620

Vekting (stp) 10

Semester undervisningsstart Autumn

Undervisningsspråk English

Antall semestre 1

Vurderingssemester Autumn

Timeplan Vis timeplan

Litteratur Søk etter pensumlitteratur i Leganto

Introduksjon

The project gives practice in solving a research assignment within the computer science area.

Content

NB! This is an elective course and may be cancelled if fewer than 10 students are enrolled by August 20th.

The project gives practice in solving a research assignment within the computer science area. The project is intended as a pre-project for the master thesis. Project tasks are announced by the Department before the semester starts; projects can also be proposed by the student or a company, but approval is strict. It is not required that the student continues the work in a master thesis project, but such an opportunity is given in some cases. That is, the student is free to choose another master project. The Department assigns projects based on grades and the students ability to solve the selected task. If the student lacks the necessary prerequisites, one may risk not being assigned a project.

Every project must have a responsible Professor and a supervisor. For Department projects, the supervisor and responsible Professor may be the same person.

If deemed suitable by the supervisor, it is possible to take the project as group work with maximum two students per group. In this case, the division of tasks between each group member should be clearly stated in the final joint report. The total workload for each student will correspond to 10 ECTS.

Learning outcome

After having completed this course the student shall have detailed knowledge of the topic covered by the project, and be able to perform thorough research and development work within the specific topic.

Forkunnskapskrav

Ingen

Eksamen / vurdering

Fakta

Vekt 1/1

Varighet 1 Semesters

Karakter Letter grades

Hjelpemiddel All

Trekkfrist 07.12.2025

The course is evaluated (internally) based only on the submitted report.

Each student must submit an individual report.

For group projects, a joint report will be submitted. Division of tasks must be explained in the report.

The project report must be handed in before 17th of December.

Re-sit exam opportunities are not offered on the project assignment. Students who do not pass the project assignment can take this part again the next time the course has regular teaching.

Method of work

15 hours of project work per week corresponding to 10 ECTS. There are not ordinary lectures in this course; each student or student group will receive independent supervision from the assigned supervisor. It is expected that the student performs independent work between supervision sessions similar to what is expected for a Master's thesis.

Overlapping

Emne Reduksjon (SP)
Project in Computer Science (DAT620_1) , Project in Computer Science (MID240_1) 10

Åpent for

Admission to Single Courses at Master Level at the Faculty of Science and Technology
Data Science Data Science - Master of Science Degree Programme, Part-Time Computer Science Computer Science - Master of Science Degree Programme, Part-Time Industrial Automation and Signal Processing - Master's Degree Programme - 5 year

Admission requirements

Must meet the admission requirements of one of the study programmes the course is open for.

Emneevaluering

The faculty decides whether early dialogue will be held in all courses or in selected groups of courses. The aim is to collect student feedback for improvements during the semester. In addition, a digital course evaluation must be conducted at least every three years to gather students’ experiences.

Kontakt

Course teacher:
Hein Meling
Head of Department:
Tom Ryen
Course teacher:
Rong Chunming
Course teacher:
Erlend Tøssebro
Course teacher:
Krisztian Balog
Course teacher:
Martin Georg Skjæveland
Course teacher:
Vinay Jayarama Setty
Course teacher:
Mina Farmanbar
Course teacher:
Naeem Khademi
Course coordinator:
Ferhat Özgur Catak
Tutor:
Nan Zhang

Tilbys av

Faculty of Science and Technology

Department of Electrical Engineering and Computer Science

The course description is retrieved from FS (Felles studentsystem). Version 1