Theory
Workshop overview
This workshop covers the following goals
- The application and research areas are clearly defined and described.
- A focus area is introduced ( a sub-area of the research area ).
- Related scientific work is introduced related to the focus area.
Skills you need from this workshop
- Knowledge of CS research, where?, and how to find it
- Separation and connection between CS-research and applied area
- Knowledge on writing an introduction
- How to use citations!
- Selecting a suitable research area
- that fits your study program
- has research potential
- has an audience
- as well as is internally motivated
- Know how to get help
Overview and time plan
As with most plans, this might change to fit reality
- Theory (during course introduction)
- Instructions “Experience of an example thesis”
- Reading of the “Example thesis”
- Discussion “Example thesis”
- Search theory
- Break into smaller groups
- Research and application areas
- Discussion and conclusion
Theory: Research and Application Areas (from course introduction)
Difference between CS, and application areas
What is computer science? (from course introduction)
Show Wikipedia page, do students recognize any subject from their
Map of CS
More fun than complete map of CS
Questions (from course introduction)
- What are the areas that you have covered so far in your education?
- What are your favourite CS part?
Theory: Search Theory - How is CS research done and published
CS Research is published in CS-Venues
- Publication venues
- Quality Assessment
- Peer review, easychair
- Norwegian Register https://kanalregister.hkdir.no/
- Avoid MDPI due to its lack of peer review
- Avoid Frontiers in … (pay to publish)
Databases
- ACM https://dl.acm.org/
- IEEE https://ieeexplore.ieee.org/Xplore/home.jsp
- Google Scholar https://scholar.google.com/
- Web of Science https://clarivate.com/academia-government/scientific-and-academic-research/research-discovery-and-referencing/web-of-science/
- Onesearch https://gslg-lnu.primo.exlibrisgroup.com/discovery/search?vid=46GSLG_VAXJO:primo_custom_lnu&lang=en
- Search Queries
- Advanced search queries (structured search)
- AI
- Do not trust references from any Generative AI. Always go to the source! ALWAYS! YES, ALWAYS! (skull emoji)
Ways of finding more articles
- Literature Reviews - Motivation and overview
- Following authors
- Citation network
Speed reading
There can be an overwhelming amount of information in the beginning so be careful on how you spend time
- Read Title, if interesting continue with
- Read Abstract, if still interesting continue with
- Read Introduction but only to understand their problem and if it relates to your idea
- If the results are important Read the conclusions
- If you are going to build your study on similar methodology, read method
Avoid plagiarism!
direct quote
paraphrasing
Correct way of doing it!