Datalab: Intelligent Data Analysis

Overview

SemesterWinter 2020
Course typePractical Course/ Lab
LecturerJun.-Prof. Dr. Wressnegger
AudienceInformatik Master & Bachelor
Credits4 ECTS
Room148, Building 50.34
LanguageEnglish
Linktba
Registrationtba

Description

In this practical course, the students develop learning-based systems for different computer security tasks, thereby intensifying their knowledge gained in the lecture "Machine Learning for Computer Security."

The students have the unique opportunity to design, implement, and evaluate systems based on real-world data used in computer security research.

The "Datalab" is composed of 6 units with several individual tasks covering different topics from classical computer security research, such as attack detection, spam classification, or vulnerability discovery. In each unit, the students develop an approach, train and validate it on known data, and submit their solution to the course platform, where the approach is tested against unknown data.

The best approaches are awarded at the end of the semester and presented at a joint colloquium and get-together.

Schedule

DateStep
TBAUnit 1: tba
TBAUnit 2: tba
TBAUnit 3: tba
TBAUnit 4: tba
TBAUnit 5: tba
TBAUnit 6: tba
TBAAward ceremony and presentation at final colloquium

Prerequisites

To participate it is strongly recommended to have attended the lecture

or the lectures

Mailing List

News about the practical course, potential updates to the schedule, and additional material are distributed using a separate mailing list. Moreover, the list enables students to discuss topics and solution approaches.

You can subscribe here.