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 social networks. In the scope of this seminar, we will investigate papers that describe algorithms and techniques to perform data analysis (community detection, information retrieval, recommendation, etc ) on social networks.

More information can be found at https://diuf.unifr.ch/xi/ds/.
 

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.
 

Type: 
Seminar
Semester: 
A2017
ECTS: 
5
Tracks: 
Lecturer: 
Site: 
F
Code: 
63739
Language: 
english
Period: 
on appointment
Location: 
UniFR, PER21
Evaluation type: 
continuous evaluation
Comment: 

First Lecture
Please contact Mourad Khayati (mourad [dot] khayatiatunifr [dot] ch) to select the date of the first meeting.

ILIAS
The course page in ILIAS can be found at https://ilias.unibe.ch/goto.php?target=crs_1166741&client_id=ilias3_unibe.