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 benchmarking. In the scope of this seminar, we investigate papers that describe various benchmarks for systems, algorithms and data generation. The papers explore configuration mechanisms and parameterization techniques that optimize the performance of the evaluated entities when applied to large datasets.

Link to the seminar website:


Code 63545
Type Seminar
Site Fribourg
Track(s) T6 – Data Science
Semester A2023


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, 26.09.2023 at 15:00 in UniFR, PER21, room A403.