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: https://exascale.info/courses/ds/
Details
| Code | 63587 |
| Type | Seminar |
| ECTS | 5 |
| Site | Fribourg |
| Track(s) |
T6 – Data Science |
| Semester | A2024 |
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_3102235.html. |
Schedules and Rooms
| Period | On Appointment |
| Location | UniFR, PER21 |
Evaluation
| Evaluation type | continuous evaluation |
Additional information
| Comment | First Lecture |