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: https://exascale.info/courses/ds/
Details
| Code | 63507 |
| Type | Seminar |
| ECTS | 5 |
| Site | Fribourg |
| Track(s) |
T6 – Data Science |
| Semester | A2022 |
Teaching
| 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 https://ilias.unibe.ch/goto_ilias3_unibe_crs_2469242.html. |
Schedules and Rooms
| Period | On Appointment |
| Location | UniFR, PER21 |
Evaluation
| Evaluation type | continuous evaluation |
Additional information
| Comment | First Lecture |