Seminar Data Science

This is a hybrid teaching unit, it will partially be held online, partially in class.

The seminar on data science involves presentations that cover recent topics on data science. The area of this year’s seminar is graph embeddings. In the scope of this seminar, we investigate papers that describe algorithms and techniques to learn the representations of the vertices from a given network.

Link to the seminar website:


Code 63802
Type Seminar
Site Fribourg
Track(s) T6 – Data Science
Semester A2020


Learning Outcomes

The goal for the students is to learn how to critically read and study research papers, how to describe a paper in a report, and how to present it in a seminar. Under supervision, students will select one paper to study, contrast and compare with related work. This seminar aims to help students to gather in-depth knowledge of an advanced topic and develop the skills required to describe a complex problem from the predictive analytics area in the form of both a presentation and a written report.

Lecturer(s) Mourad Khayati
Language english
Course Page

The course page in ILIAS can be found at

Schedules and Rooms

Period On Appointment
Location UniFR, PER21 / online


Evaluation type continuous evaluation

Additional information


First Lecture
The first lecture will take place on Tuesday, 22.09.2020 at 10:15 in UniFR, PER21, room F207.