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 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: https://diuf.unifr.ch/main/xi/ds-xi/index.html

Details

Code 63802
Type Seminar
ECTS 5
Site Fribourg
Track(s) T6 – Data Science
Semester A2019

Teaching

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 https://ilias.unibe.ch/goto_ilias3_unibe_crs_1531298.html.

Schedules and Rooms

Period On Appointment
Location UniFR, PER21

Evaluation

Evaluation type continuous evaluation

Additional information

Comment

First Lecture
The first lecture will take place on Tuesday, 24.09.2019 at 14:15 in UniFR, PER21, room C421.