Fall semester 2024

Module organisers:

• Anders Kofod-Petersen
• Pauline Haddow

Course content

Course structure

Seminars

Seminar 1

Time & place: Wednesday, September 4. 12.15-14.00, Kjelhuset KJL4

• Welcome to DART and the AI Master Class
• The Computer Science Student Conference (CSSC)
• How to formulate a research question
• Slides

Seminar 2

Time & place: Wednesday, September 18. 12.15-14.00, Adolf Øien-bygget: A34

• Doing a structured literature review
• How to read a scientific paper
• Organising CSSC
• Slides

Seminar 3

Time & place: Wednesday, October 2. 12.15-14.00, A123, Arkitekt Christies gate 2

• How to write a thesis
• Organising CSSC
• Slides

Seminar 4

Time & place: Tuesday, October 15. 12.15-14.00, KBA Kvinne-barnseteret

• How to do quantitative empirical research, guest lecture by Helge Langseth (Slides)
• Using HPC at NTNU, guest lecture by Jan Christian Meyer (Slides)
• Organising CSSC

Seminar 5

Time & place: Wednesday, October 30. 12.15-14.00, A123, Arkitekt Christies gate 2

• Reproducibility, guest lecture by Odd Erik Gundersen
• Organising CSSC

Seminar 6

Time & place: Wednesday, November 13. 14.15-16.00, A123, Arkitekt Christies gate 2

• Sustainability in AI, guest lecture by Elena Parmiggiani
• Organising CSSC

Conference & Exam - The Computer Science Student Conference (CSSC)

Time & place: Tuesday, November 26th and Wednesday 27th

• Tuesday, November 26th. 08:30-18:30, A120, Arkitekt Christies gate 2
• Wednesday, November 27th, 10:00-18:30, A120, Arkitekt Christies gate 2

Documents & links

• Efficient reading of scientific papers
• How evaluation guides AI research, Cohen and Howe, AI Magazine, vol. 9, no. 4, 1988
• Writing Good Software Engineering Research Papers (PDF), M. Shaw, Proceedings of the 25th International Conference on Software Engineering, IEEE Computer Society, 2003, pp. 726-736
• Choosing a Computer Science research problem (PDF)
• How to do a structured literature review (SLR)
• The master thesis template in PDF
• The LaTeX files for the master template
• The Extended Abstract LaTeX files
• Spreadsheet for reviewing papers