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263-3300-10L 10 Credits MSC D-ITET , D-INFK , D-MATH

Data Science Lab

Lecturers & Examiners: Prof. Dr. Fan Yang, Prof. Dr. Valentina Boeva, PD Dr. Alexander Ilic, Dr. Arnout Devos
Only for Data Science MSc, Programme Regulations 2023.
VVZ CR n/a

Last Updated: 2026-06-03 00:14:14

Abstract

In this class, we bring together data science applications provided by academic & industry stakeholders with teams of computer science master's students. Teams of students work on data science/machine learning-related research topics. Teams consist of two to three students, depending on the number of projects. Projects are collected by the lecturers and made available to choose from at the start.

Objective

The goal of this class if for students to gain experience of dealing with data science and machine learning applications "in the wild". Students are expected to go through the full process starting from data cleaning, modeling, execution, debugging, error analysis, and quality/performance refinement.

Resources

Learning Materials (Links)

General Information

Language
English
Levels
MSC
Frequency
Semesterly recurring

Examination

Type
ungraded semester performance

Registration & Places

Priority: Registration for the course unit is only possible for the primary target group

Course Components

Type Title Time & Place Hours
practical/laboratory course Data Science Lab No time listed -

Offered In