TDT70 - AI Masterclass - Kunnskapsbasen
TDT70 - AI Masterclass
Fall semester 2024
Module organisers:
Course content
This course covers the methods and approaches required to perform solid research. Solid research is the foundation of a good Master's Thesis. The course covers methods and their practical use. Participation and practical work on your own thesis is obligatory.
Themes covered include:
- The structure and content of a Master's Thesis
- Constructing and writing good research questions
- Finding, reading and organising literature
- Scientific writing
- Construction of a State of the Art
- Design of experimentation plans
- Presting and evaluating results
Course structure
The course is organised as a series of seminars. Each seminar will briefly cover one of the aforementioned topics. The rest of each seminar will be organised as pseudo-structured workshops, where students will work in small groups and present findings. Work is expected between the seminars.
Evaluation is partly portfolio and partly examination. Students' participation and contributions during the course counts for 60% of the final grade. Presentation at the Computer Science Student Conference (CSSC) counts for 40%.
Part of the course if the development and hosting of the CSSC by the students. The conference is expected to take place during the examination period, which is December 2025 and January 2026. All work on this conference is part of the course and counts towards the evaluation.
Due to the expected contributions during, and between the seminars, physical participation is mandatory.
Seminars
Seminar 1
Time & place: Wednesday, September 3. 14.15-16.00
- What is a Master's Thesis
- How to organise a scientific conference
- How to clarify academic and industry problems
- How to write a strong research goal
Seminar
Time & place: Wednesday, September 17. 14.15-16.00
- Structured Literature Review (SLR)
- System testing, techniques and data
- How to create good research questions
- How to read a scientific paper
Seminar 3
Time & place: Wednesday, October 1. 14.15-16.00
- Scientific writing and peer reviewing
- What background theory is relevant
- How to consider sustainability
Seminar 4
Time & place: Wednesday, October 15. 14.15-16.00
- How to write the State of the Art
- Model and architecture design decisions
- Deciding on evaluation methods
Seminar 5
Time & place: Wednesday, October 29. 14.15-16.00
- How to design a good experimentation plan
- How to execute the experimentation plan
- Reproducibility
Seminar 6
Time & place: Wednesday, November 12. 14.15-16.00
- How to present and evaluate results
- Validity of the results
- Use of statistics to support claims
Seminar 7
Time & place: Wednesday, November 26. 14.15-16.00
- Backup seminar
Conference & Exam - The Computer Science Student Conference (CSSC)
This conference is both the opportunity to show to the world all the fantastic work being done; and the exam of this course. The conference is developed and hosted by the students of this course.
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