Seminar Data Science

The seminar on data science involves presentations that cover recent topics on data science. The area of this year’s seminar is graph analytics. In the scope of this seminar, we investigate papers that describe algorithms and operators to process graphs. The papers explore mechanisms that highlight the strengths and weaknesses of these methods when applied to graphs.

Link to the seminar website:


Code 63507
Type Seminar
Site Fribourg
Track(s) T6 – Data Science
Semester A2022


Learning Outcomes

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

Lecturer(s) Mourad Khayati
Alberto Lerner
Language english
Course Page

The course page in ILIAS can be found at

Schedules and Rooms

Period On Appointment
Location UniFR, PER21


Evaluation type continuous evaluation

Additional information


First Lecture
The first lecture will take place on Tuesday, 27.09.2022 at 14:15 in UniFR, PER21, room A403.