Course – Information retrieval for phD students
Information Retrieval for PhD students
The course “Information Retrieval for PhD students” is open for registration. The aim of the course is to develop the participant´s information literacy, which will say, the ability to search, critically evaluate and use information during the process of writing the thesis.
The following main topics will be dealt with during the course:
- Search Strategies
- Information Retrieval
- Information Sources (web-based search services – expert databases, general and subject specific)
- Scholarly Communication
- Open Access
- Research Data
- Copyright and Intellectual Property
- Reference Management (Zotero)
- Systematic/Literature Reviews
- Literature Monitoring
- Internet and the Visible Researcher
The course is web based with two compulsory lectures on campus. Participants should independently find their way to an individual search and publishing strategy within their research area by finding and reading relevant literature, working with exercises, writing compulsory assignments and review others. Course organization requires active participation online. At the examination, which is mandatory and on campus, the students will present their thesis and review someone else’s.
The course starts week 3 2017 and continues to week 12 2017. There are 10 sessions (once a week on Wednesday afternoons) planned during the spring semester.
The sessions are an opportunity for you to understand and discuss the assignments and exercises and get feedback on your findings and your work. Almost every week during the course you need to hand in an assignment no later than the Sunday the same week.
- Date of the first session: Wednesday, January 17th, 2018 at 13-15 in the IT-suite in the Library, Karlskrona.
At the first session, we will introduce ourselves, the course content and literature, pedagogy and learning platform. We will discuss the search technology and the concept of information literacy. We want you to present yourself, your research area and what you expect from the course. Also, consider how you would describe your research topic with a few keywords.
To apply: just send me an email with your name, institution, BTH acronym, personal code and the name of your PhD supervisor.
If you are not able to come to the first session, please tell me!