- Learn how to evaluate research papers
- Learn what makes papers good
- Learn about how papers are refereed and published
- Obtain a broad overview of important recent developments in data science research
The Research Seminar Data Science is intended to provide students with the opportunity to develop the skill of critically reading and evaluating research papers in the broad area of data science. The course is a required component of the Data Science specialisation. Attendance is compulsory. Every student in the class will present and/or review two papers. The paper to be presented is a recent paper published in a top data science conference or journal. The paper to review has been submitted to some top conference and may have major impact in the future.
|Bachelor in computer science, artificial intelligence, or a related discipline. Preferably you have already taken a couple of courses in the Data Science specialisation.|
|There are three assessed components, of weight 20%, 40%, and 40%, respectively.
1) The collected set of your short summaries of the papers presented by others (i.e., excluding the papers you present yourself). Half to one page each.
2) Your review and presentation of the classical paper, based on your presentation and the discussion which followed.
3) Your review of the paper recently submitted to one of the data science conferences. Reports for 2) and 3) are around 5-6 pages each.|
|If possible, we will replace the presentation and report of a recent paper by an actual review of a paper currently submitted to a conference or journal. This option will depend on the availability of such papers as well as the number of students taking the course. Furthermore, we will also try to attend actual talks by renowned data scientists and then replace one of the short reviews on the papers presented by your fellow students by a review on such a talk.|