Fall 2015

Data Science Seminar

Lecturers: Mourad Khayati, Djellel Difallah

Teaching language: English

Level: MSc students

Academic year: Fall 2015

Overview

Structure

Evaluation and Expectations

Schedule

List of Papers

Overview

The seminar on data science involves presentations that cover recent topics on data science. In the scope of this seminar, we investigate two sets of papers. The first set of papers will cover scalable machine learning techniques. A special focus will be on clustering, compression and similarity techniques used for time series data and graphs. Additionally, matrix decomposition/factorization and sentiment analysis techniques will be studied.

The second set of papers will cover big-data management infrastructures. We will focus on data storage techniques tailored to specific data types, e.g., graphs, time-series and arrays, in addition to generic data formats used in scalable distributed file systems such as Hadoop's HDFS. We will also consider papers on job scheduling techniques used in large data processing centers shared by thousands of data scientists

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 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 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 and should explore the extreme cases where the proposed approach would perform best and worst.

IMPORTANT NOTE: Attendance is mandatory for the two class seminar sessions.

Schedule

Kickoff Meeting. Date: Tue, 22.09.2015, 14:00-15:00
Setup and organization of seminar, and paper assignment

----------------------------------------------------------------------

Date: Wed, 1.11.2015
Report deadline Batch1

Date: Wed, 08.11.2017, all day
Office meeting with students from Batch1

First Seminar Session. Date: Wed, 15.11.2017, 09:15-13:00, room: A303

Presentations of Batch1

----------------------------------------------------------------------

Date: Wed, 29.11.2017
Report deadline of Batch2

Date: Wed, 06.12.2017, all day
Office meeting with students from Batch2

Second Seminar Session. Date: Wed, 13.12.2017, 09:15-13.00, room: A303

Presentations of Batch2

Date: Wed, 10.01.2018
Deadline final Report of Batch1 and Batch2

Paper Assignment

The papers will be distributed on a first come first serve basis. Please use the following online application to select one paper among the list of papers below: assignment app