Fall 2017

Data Science Seminar

Lecturers: Mourad Khayati

Teaching language: English

Level: MSc students

Academic year: Fall 2017

Overview

Structure

Evaluation and Expectations

Schedule

List of Papers


Overview

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.


Structure

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.

IMPORTANT NOTE: The papers will be distributed on a first come first serve basis.


Evaluation and Expectations

The final grade depends on the quality of the report, presentation, reproducibility experiments (if any) and active participation during the seminar. Each participant prepares a self contained report of max 10 pages and gives a presentation of 20 minutes. The report should describe in detail the proposed technique(s). The report might contain a small running example, counter example(s) and should explore the extreme cases where the proposed approach would perform best and worst. The reproducibility experiments consists on running the available code of the proposed system and making a 5 min demo about it.

Advices on how to:

IMPORTANT NOTE: Attendance is mandatory for the two class seminar sessions. The total number of participants will be limited to 10.


Schedule

Kickoff Meeting. Date: Tue, 26.09.2017, 14:15-16:00, room: A303
Setup and organization of seminar, and paper assignment