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 time series operators. Modern SQL databases do not strictly support time series, but two features come close. First, SQL:2011 introduced extensions to support temporal data. Chief among the extensions is the concept of periods, which allows a time interval to be associated with every row of a table. Second, the older SQL:1999 introduced the notion of window functions. These allow data to be manipulated as if it was a sequence.

In the scope of this seminar, we investigate papers that describe algorithms and operators to process time series data. The papers explore mechanisms that highlight the strengths and weaknesses of these operators when applied to time series.

Link to the seminar website:


Code 63868
Type Seminar
Site Fribourg
Track(s) T6 – Data Science
Semester A2021


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.

Lecturer(s) Mourad Khayati
Alberto Lerner
Language english
Course Page

The course page in ILIAS can be found at

Schedules and Rooms

Period On Appointment
Location UniFR, PER21


Evaluation type continuous evaluation

Additional information


First Lecture
The first lecture will take place on Tuesday, 28.09.2021 at 15:00 in UniFR, PER21, room F207.