- Introduction
- Scripts
- Defining the course graph
- Process
- Ethics
- Challenges
- Example Labels
- Results
- Conclusion
- Course Ranking
In this project, I explored the network of dependencies between computer science courses (aka. modules) for the summer term 2024 at TU Berlin. Scripts used to collect the course data are available in this repository. It is important to note that course descriptions can be ambiguous. To address this, I interpreted the given requirement descriptions on an per description basis. So, results should be taken with a grain of salt. Detailed findings are presented in the sections below.
module: a synonym for course.
At ./scripts, you will find all the utility scripts used in the project.
print_module_hrefs.js
This script collects course URLs from the program page. To use it, paste the script into your browser’s DevTools. It gathers all visible course URLs from the "Modulzuordnungen" section. The collected URLs depend on the currently selected Studiengangsbereich. Once you finish selecting courses, you can call the print method to output the list.
scrape_moses.py
This web scraping script reads a list of course URLs from stdin. It scrapes each course page and writes the extracted data to stdout after processing all the URLs.
Both scripts include detailed inline descriptions and usage instructions.
Note: These scripts rely on the current structure of the webpages they interact with. If the webpage structure changes, the scripts may fail. In such a case, updating the corresponding CSS locators should restore functionality.
A course graph is a directed graph.
Each node in the graph represents something a course can depend on, like another course or a degree.
An edge from a course node A to another node B represents a A requires B relation between these two nodes.
E.g. A student would have to complete B before taking course A.
For this project I followed the following steps:
- collect course descriptions
- translate course requirements into edges
- Visualize the course graph.
Web scraping is performed in a way that ensures it does not interfere with the quality of service for other users. A custom request scheduler was implemented to evenly distribute all requests, thus preventing any sudden spikes.
Moreover, the collected data is already publicly available; therefore, providing access to this snapshot does not harm anyone.
From the 442 course I planned to scrape, 47 failed due to variations in the HTML structure.
The list of missing courses can be found at ./Inforamtik/24_8_30/missing_hrefs.csv.
The following data points are collected either as unstructed text or raw HTML tables for each scraped course:
url, title, id, responsible person, validity, default language, content, learning outcomes, registration precedure, requirements, duration, max num participants, exam type, credits, is graded, faculty, institute, related programs
The raw course data can be found here ./Inforamtik/24_8_30/modules.json.
The requirements fields contain unstructed text describing the requirements of a course.
To determine course dependencies, I followed the following procedure:
-
precise requirements are preferred over unprecise, since it signals some importance.
-
I mapped vague and ambiguous terms to dependencies by using description context and my experience. If terms have been too vague or too ambiguous, they have been ignored.
However, the result should be taken with a grain of salt for the following reasons:
- Course requirements section could be outdated.
- Authors could overestimate or underestimate their course requirements.
- Authors use vague or ambiguous terms to describe their course requirements.
- Misinterpretation on my side.
In total, labeling took around two days.
The interpreted dependencies can be found at ./Informatik/24_8_31/graph.json.
Course: Hardware Security Lab
Desirable prerequisites for participation in the courses:
Prerequisites:
- Compulsory modules of the Bachelor degree.
- Experience with C programming
Recommended additional skills:
- Familiarity with HDL and logic design
- Familiarity with electronics
- Familiarity with test and measurement equipment
For the practical course students will be provided access to workstations as well as test and measurement equipment used for the course.
Dependencies: Einführung in die Programmierung;Grundlagen der Elektrotechnik (GLET);Digitale Systeme;
This is the resulting graph visualized as a tag cloud. A node is weighted by the number of other nodes requiring this node.
I used the open source software gephi for this visualization.
As we can see, there are courses that are more required than other courses.
At the bottom of this page, a complete list of courses can be found.
Determining the quality of the results is not straightforward due to interpretation errors of the ambiguous data. Nevertheless, a expected trend can be observed. Fundamental courses tend to be prerequisites for a larger number of specialized courses.
Additionally, I discovered some highly ranked courses that I was previously unaware of. These notable courses include:
- Robotics
- DMH Data Management on Modern Hardware
- DBPRA Datenbankpraktikum
- Digital Image Processing
- DBT Database Technology
- Lichtechnik: Grundlagen und Anwendungen
- Einführung in die Lichttechnik
- MDS Management of Data Streams
indegree = number of requirements from other nodes
outdegree = number of requirements this node makes
| Id | in degree | out degree | Degree |
|---|---|---|---|
| Analysis I und Lineare Algebra für Ingenieurwissenschaften | 46 | 0 | 46 |
| Algorithmen und Datenstrukturen | 34 | 1 | 35 |
| Stochastik für Informatik | 27 | 1 | 28 |
| Rechnernetze und Verteilte Systeme | 27 | 3 | 30 |
| Bachelor | 27 | 0 | 27 |
| Machine Learning 1 | 23 | 2 | 25 |
| Systemprogrammierung | 20 | 1 | 21 |
| Network Architectures - Basics | 19 | 2 | 21 |
| Einführung in die Programmierung | 18 | 0 | 18 |
| Rechnerorganisation | 18 | 0 | 18 |
| Softwaretechnik und Programmierparadigmen | 18 | 2 | 20 |
| Diskrete Strukturen | 16 | 2 | 18 |
| Logik | 13 | 2 | 15 |
| Formale Sprachen und Automaten | 12 | 0 | 12 |
| Berechenbarkeit und Komplexität | 12 | 1 | 13 |
| Signale und Systeme | 11 | 0 | 11 |
| Informationssysteme und Datenanalyse | 11 | 0 | 11 |
| Machine Intelligence I | 11 | 2 | 13 |
| Verteilte Systeme | 8 | 2 | 10 |
| Wissenschaftliches Rechnen | 7 | 1 | 8 |
| Robotics | 7 | 1 | 8 |
| DMH Data Management on Modern Hardware | 6 | 3 | 9 |
| DBPRA Datenbankpraktikum | 6 | 1 | 7 |
| Kommunikationsnetze | 6 | 1 | 7 |
| Rechnernetze und Verteile Systeme | 6 | 0 | 6 |
| Digital Image Processing | 6 | 0 | 6 |
| Analysis II | 5 | 0 | 5 |
| DBT Database Technology | 5 | 2 | 7 |
| Lichttechnik: Grundlagen und Anwendungen | 5 | 0 | 5 |
| Einführung in die Lichttechnik | 5 | 0 | 5 |
| Algorithmentheorie | 5 | 2 | 7 |
| Cloud Computing | 5 | 1 | 6 |
| Integraltransformationen und partielle Differentialgleichungen für Ingenieurwissenschaften | 5 | 0 | 5 |
| Webtechnologien | 4 | 1 | 5 |
| Verteile Systeme | 4 | 0 | 4 |
| Digitale Systeme | 4 | 0 | 4 |
| Analysis II für Ingenieurwissenschaften | 4 | 0 | 4 |
| Computer Graphics I (Fundamentals) | 4 | 1 | 5 |
| Grundlagen der Rechnersicherheit | 4 | 3 | 7 |
| Einführung in die Lineare und Kombinatorische Optimierung (ADM I) | 3 | 0 | 3 |
| Grundlagen der Elektrotechnik (GLET) | 3 | 0 | 3 |
| Nachrichtenübertragung | 3 | 0 | 3 |
| Mikroprozessortechnik | 3 | 0 | 3 |
| Automatic Image Analysis | 3 | 1 | 4 |
| Photogrammetric Computer Vision | 3 | 1 | 4 |
| Anwendungssysteme | 3 | 0 | 3 |
| Applied Computer Vision | 3 | 0 | 3 |
| Machine Learning for Computer Security | 3 | 0 | 3 |
| Adversarial Machine Learning | 3 | 1 | 4 |
| Numerische Lineare Algebra I | 2 | 0 | 2 |
| Numerische Lineare Algebra II | 2 | 0 | 2 |
| MDS Management of Data Streams | 2 | 1 | 3 |
| Quality Assurance of Embedded Systems | 2 | 1 | 3 |
| Advanced Algorithmics | 2 | 2 | 4 |
| Reaktive Systeme | 2 | 3 | 5 |
| Architektur Eingebetteter Systeme | 2 | 5 | 7 |
| Analog- und Digitalelektronik | 2 | 0 | 2 |
| Digitale Nachrichtenübertragung | 2 | 2 | 4 |
| Foundations of Stochastic Processes | 2 | 3 | 5 |
| Analysis und Lineare Algebra für Ingenieurwissenschaften | 2 | 0 | 2 |
| Kognitive Algorithmen | 2 | 1 | 3 |
| Machine Learning 2 | 2 | 3 | 5 |
| Energiespeichertechnologien | 2 | 0 | 2 |
| Grundlagen Batterietechnik | 2 | 0 | 2 |
| Informatik Propädeutikum | 2 | 0 | 2 |
| Deep Learning 1 | 2 | 3 | 5 |
| Applied Machine Learning in Engineering | 2 | 0 | 2 |
| Privacy Engineering | 2 | 0 | 2 |
| Technische Akustik I | 1 | 0 | 1 |
| Schallmesstechnik und Signalverarbeitung | 1 | 0 | 1 |
| Diskrete Optimierung (ADM II) | 1 | 6 | 7 |
| Analysis I | 1 | 0 | 1 |
| Analysis III | 1 | 0 | 1 |
| Approximationsalgorithmen (ADM III) | 1 | 1 | 2 |
| Brain-Computer Interfacing | 1 | 2 | 3 |
| Analysis and Optimization of Embedded Systems | 1 | 0 | 1 |
| Robotics: Fundamentals | 1 | 1 | 2 |
| Regelungstechnik | 1 | 0 | 1 |
| Continuous Software Engineering | 1 | 1 | 2 |
| Elektronik und Signalverarbeitung | 1 | 3 | 4 |
| Projekt Elektronik | 1 | 0 | 1 |
| Quellencodierung - Multimediasignalverarbeitung | 1 | 2 | 3 |
| Grundlagen der Reglungstechnik | 1 | 0 | 1 |
| Grundlagen der Batterietechnik | 1 | 0 | 1 |
| Compiler Design | 1 | 2 | 3 |
| Advanced Computer Architecture | 1 | 1 | 2 |
| Hardwarepraktikum | 1 | 0 | 1 |
| Programmierpraktikum: Algorithm Engineering | 1 | 2 | 3 |
| Parameterized Algorithmics | 1 | 1 | 2 |
| Randomized Algorithmics | 1 | 1 | 2 |
| Computational Complexity | 1 | 2 | 3 |
| Rechnernetze | 1 | 0 | 1 |
| DBPRO - Datenbankprojekt (benotet) | 1 | 1 | 2 |
| Software Engineering cyber-physischer Systeme | 1 | 4 | 5 |
| Software Engineering Eingebetteter Systeme | 1 | 0 | 1 |
| Microwave and Radar Remote Sensing | 1 | 0 | 1 |
| Künstliche Intelligenz: Grundlagen und Anwendungen | 1 | 3 | 4 |
| Berechenbarkeit und Komplexitätstheorie | 1 | 0 | 1 |
| Logiken und Kalkühle | 1 | 0 | 1 |
| Machine Intelligence II | 1 | 3 | 4 |
| Machine Learning I | 1 | 0 | 1 |
| Lab Course Machine Learning | 1 | 0 | 1 |
| Foundations of Datascience | 1 | 0 | 1 |
| Schaltungstechnik | 1 | 0 | 1 |
| Signalverarbeitung | 1 | 0 | 1 |
| Secure Cryptography | 1 | 2 | 3 |
| Elektrische Netzwerke | 1 | 0 | 1 |
| Grundlagen der elektronischen Messtechnik | 1 | 0 | 1 |
| 5G / 6G Software Networks | 1 | 0 | 1 |
| Advanced Analog Integrated Circuits and Systems (AAIC) (12LP) | 1 | 0 | 1 |
| Analog Integrated Circuits (AIC) | 1 | 0 | 1 |
| Analysis I und Lineare Algebra | 1 | 0 | 1 |
| Fog Computing | 1 | 4 | 5 |
| Einfühung in die Informatik | 1 | 0 | 1 |
| reaktive Systeme | 1 | 0 | 1 |
| Singale und Systeme | 1 | 0 | 1 |
| Cloud Service Benchmarking | 1 | 4 | 5 |
| Rechnernezte und Verteilte Systeme | 1 | 0 | 1 |
| Informatik und Gesllschaft | 1 | 0 | 1 |
| Architecture of Machine Learning Systems | 1 | 3 | 4 |
| Machine Intelligence 1 | 1 | 0 | 1 |
| Stochastik für Ingenieurwissenschaften | 1 | 0 | 1 |
| Foundations of Data Science | 1 | 0 | 1 |
| Machine Learning and Data Management Systems | 1 | 5 | 6 |
| Architektur von Anwendungssystemen | 1 | 0 | 1 |
| Psychologie für Ingenieure und Ingenieurinnen | 1 | 0 | 1 |
| Matrix Theory (10LP) | 1 | 0 | 1 |
| Theoretische Akustik / Virtuelle Akustik | 0 | 3 | 3 |
| Computational Mixed Integer Programming (ADM III) | 0 | 2 | 2 |
| IMSEM Seminar on Hot Topics in Information Management | 0 | 3 | 3 |
| Project: Brain-Computer Interfacing | 0 | 1 | 1 |
| Master Project Software Engineering of Embedded Systems | 0 | 2 | 2 |
| Robotics: Current Topics | 0 | 1 | 1 |
| IT Operations | 0 | 1 | 1 |
| Logische Methoden der Informatik | 0 | 1 | 1 |
| Master Seminar: Operating Complex IT Systems | 0 | 1 | 1 |
| DBTLAB Database Technology Lab | 0 | 3 | 3 |
| Praktikum: Intelligente Softwaresysteme | 0 | 1 | 1 |
| Image and Video Coding | 0 | 1 | 1 |
| Angewandte Logiken | 0 | 1 | 1 |
| Systemidentifikation und Regelung in der Medizin | 0 | 1 | 1 |
| Models of Higher Brain Functions | 0 | 2 | 2 |
| Cloud Native Architecture and Engineering | 0 | 2 | 2 |
| Hot Topics in Information Systems Engineering | 0 | 2 | 2 |
| VS - View Synthesis | 0 | 1 | 1 |
| Hardware Security Lab | 0 | 3 | 3 |
| SIP - Stereo Image Processing | 0 | 1 | 1 |
| Current Topics in Computational Neuroscience | 0 | 2 | 2 |
| Programmierpraktikum: Skalierbare Systeme | 0 | 1 | 1 |
| Aktuelle Themen zu eingebetteten Systemen | 0 | 2 | 2 |
| Programmierpraktikum Kommunikationstechnologien | 0 | 1 | 1 |
| Hot Topics in Communication Systems | 0 | 1 | 1 |
| Projekt Nachrichtenübertragung | 0 | 2 | 2 |
| Digitale Nachrichtenübertragung - Vertiefung | 0 | 1 | 1 |
| Entwicklung verteilter eingebetteter Systeme | 0 | 1 | 1 |
| Multivariable Control Systems | 0 | 1 | 1 |
| Nonlinear Control Systems | 0 | 1 | 1 |
| Seminar Aktuelle Forschung an Batterien | 0 | 1 | 1 |
| Projekt Advanced Web Technologies | 0 | 1 | 1 |
| Angewandte Lichttechnik | 0 | 2 | 2 |
| Solarstrahlung | 0 | 2 | 2 |
| Wireless Networking Technologies | 0 | 1 | 1 |
| Programmierpraktikum: Cyber-Physical Systems | 0 | 1 | 1 |
| Networked Embedded Systems | 0 | 1 | 1 |
| Applications of Robotics and Autonomous Systems | 0 | 1 | 1 |
| AES Bachelor-Projekt | 0 | 3 | 3 |
| Agent Competition: RoboCup | 0 | 1 | 1 |
| Agententechnologien: Grundlagen und Anwendungen | 0 | 2 | 2 |
| Aktuelle Themen der Algorithmik | 0 | 3 | 3 |
| Algebraic Process Calculi | 0 | 4 | 4 |
| Algorithm Engineering II | 0 | 5 | 5 |
| Algorithmic Research in Teams | 0 | 5 | 5 |
| Applied Embedded Systems Project | 0 | 1 | 1 |
| Bachelor Seminar: Operating Complex IT-Systems | 0 | 6 | 6 |
| BDASEM Big Data Analytics Seminar | 0 | 3 | 3 |
| Betriebssystempraktikum | 0 | 3 | 3 |
| Computer Arithmetic: Circuit Perspective | 0 | 2 | 2 |
| Computer Graphics Project | 0 | 3 | 3 |
| Computer Graphics II (Geometric Modeling) | 0 | 3 | 3 |
| Computer Graphics Seminar A | 0 | 4 | 4 |
| Computer Graphics Seminar B | 0 | 4 | 4 |
| DW Data Warehousing and Business Intelligence | 0 | 2 | 2 |
| DBSEM - Seminar on Advanced Topics in Database and Information Systems | 0 | 2 | 2 |
| Introduction into Interactive Theorem Proving | 0 | 2 | 2 |
| Dependable Embedded Systems | 0 | 1 | 1 |
| Embedded Systems Security Lab | 0 | 3 | 3 |
| Entwurf eingebetteter Systeme | 0 | 2 | 2 |
| Seminar Hot Topics in Computer Vision | 0 | 4 | 4 |
| BDSPRO Big Data Systems Project | 0 | 9 | 9 |
| Brain-Computer Interfacing (basic) | 0 | 2 | 2 |
| Künstliche Intelligenz: Grundlagen, Anwendungen und Seminar | 0 | 3 | 3 |
| Lichtquellen | 0 | 2 | 2 |
| Lichttechnische Forschung | 0 | 2 | 2 |
| Licht- und Farbwahrnehmung | 0 | 2 | 2 |
| Logik und Komplexität | 0 | 2 | 2 |
| Mobile Services | 0 | 2 | 2 |
| Modelle zur Informationsverarbeitung im Gehirn | 0 | 2 | 2 |
| Multicore Systems | 0 | 1 | 1 |
| Network Architectures - Bachelor Praxis | 0 | 1 | 1 |
| Network Architectures - Master Project | 0 | 1 | 1 |
| Applied Networking Lab | 0 | 1 | 1 |
| Network Architectures - Seminar | 0 | 1 | 1 |
| Networked Systems Specialization (big) | 0 | 1 | 1 |
| Networked Systems Specialization (small) | 0 | 1 | 1 |
| Vehicular Networking and Cooperative Driving | 0 | 1 | 1 |
| Network Architectures - Master Project (small) | 0 | 1 | 1 |
| Optische Kommunikationstechnik | 0 | 1 | 1 |
| Photonische Kommunikationsnetze und Komponenten | 0 | 1 | 1 |
| Project Advanced Network Technologies | 0 | 2 | 2 |
| DCAITI: Projekt Vertiefung vernetztes und automatisiertes Fahren | 0 | 1 | 1 |
| Angewandte Netzwerktechnologien | 0 | 1 | 1 |
| Machine Learning Project | 0 | 2 | 2 |
| Projekt: Symbolische Künstliche Intelligenz | 0 | 1 | 1 |
| Current trends in graph theory and combinatorics | 0 | 1 | 1 |
| Recent Advances in Computer Architecture | 0 | 1 | 1 |
| Research Colloquium on Algorithms and Complexity | 0 | 1 | 1 |
| Robotics: Advanced | 0 | 2 | 2 |
| Robotics I+II | 0 | 1 | 1 |
| Robotics: Project | 0 | 1 | 1 |
| Data Science Project | 0 | 1 | 1 |
| Seminar Software and Embedded Systems Engineering | 0 | 1 | 1 |
| Signalprozessor-Projekt | 0 | 5 | 5 |
| Special Topics in Communications Networks and Autonomous Security | 0 | 3 | 3 |
| Speech Signal Processing and Speech Technology | 0 | 1 | 1 |
| MTV Project: Research at Work | 0 | 5 | 5 |
| Programmierpraktikum: Verteilte Systeme | 0 | 3 | 3 |
| Cloud Prototyping | 0 | 1 | 1 |
| Seminar Energiespeichertechnik | 0 | 2 | 2 |
| Satellite Communication Project (SIERRA: aka. Projekt Amateurfunk) | 0 | 3 | 3 |
| Grundlagen Digitaler Vernetzung | 0 | 2 | 2 |
| Research Project Advanced Network Technologies | 0 | 2 | 2 |
| 5G Evolution / 6G Project | 0 | 1 | 1 |
| Models of Higher Brain Functions: Theory and Simulation | 0 | 2 | 2 |
| Models of Higher Brain Functions - Introduction | 0 | 2 | 2 |
| Aktuelle Forschung an Energiewandlern und Energiespeichern | 0 | 2 | 2 |
| Algorithmische Graphentheorie | 0 | 1 | 1 |
| Game Theory | 0 | 2 | 2 |
| Lambda-Kalkül und Typ-Systeme | 0 | 1 | 1 |
| Grundlagen des Softwaretestens | 0 | 1 | 1 |
| Master Project and Seminar Software Engineering of Embedded Systems | 0 | 1 | 1 |
| Analog Layout Design | 0 | 2 | 2 |
| Mathematics of Machine Learning | 0 | 4 | 4 |
| Programmierpraktikum: Moderne verteilte Anwendungen | 0 | 3 | 3 |
| Projekt - Verteilte industrielle Steuerungssysteme | 0 | 1 | 1 |
| Algorithmics for Discrete Data Science | 0 | 2 | 2 |
| Hot Topics in Scalable Software Systems | 0 | 1 | 1 |
| Project Open Distributed Systems | 0 | 4 | 4 |
| DCAITI: Vernetztes und automatisiertes Fahren | 0 | 1 | 1 |
| DCAITI: Simulation vernetztes und automatisiertes Fahren | 0 | 1 | 1 |
| DCAITI: Projekt vernetztes und automatisiertes Fahren | 0 | 1 | 1 |
| Advanced Topics in Scalable Software Systems | 0 | 1 | 1 |
| Multimedia and Wireless Lab | 0 | 1 | 1 |
| Machine Learning for Remote Sensing Data Analysis | 0 | 2 | 2 |
| Programmierpraktikum: Wettbewerbsorientierte Algorithmik | 0 | 2 | 2 |
| International Information Security Contest | 0 | 1 | 1 |
| Programmierpraktikum: Modelle Dynamischer Systeme | 0 | 1 | 1 |
| Graph Minors | 0 | 1 | 1 |
| Programmierpraktikum Batterien | 0 | 1 | 1 |
| Programmierpraktikum Leistungselektronik | 0 | 1 | 1 |
| Programmierpraktikum Algorithmen und Datenstrukturen | 0 | 2 | 2 |
| Advanced Wireless Communications | 0 | 4 | 4 |
| Information Theory and Applications | 0 | 1 | 1 |
| Event-based Robot Vision | 0 | 3 | 3 |
| Ethics, data science, and networked AI | 0 | 1 | 1 |
| MTV Seminar: Write, Review and Publish | 0 | 5 | 5 |
| Open Distributed Systems - Seminar | 0 | 4 | 4 |
| Bio-inspired Computer Vision | 0 | 3 | 3 |
| AI and Robotics: Lab Course | 0 | 1 | 1 |
| AI and Robotics: Research | 0 | 1 | 1 |
| Quantum Computing | 0 | 1 | 1 |
| Aktuelle Themen zu Software and Embedded Systems Engineering | 0 | 1 | 1 |
| Wireless Communication Systems | 0 | 4 | 4 |
| Project Computer Vision for Remote Sensing | 0 | 2 | 2 |
| Selected Areas of Telecommunication Networks | 0 | 1 | 1 |
| Optimization Algorithms | 0 | 1 | 1 |
| Learning and Intelligent Systems: Project | 0 | 2 | 2 |
| State Estimation for Robotics | 0 | 3 | 3 |
| Einführung in die IT-Sicherheit | 0 | 7 | 7 |
| Reading Group Cloud Systems | 0 | 4 | 4 |
| Ausgewählte Themen zu Algorithmen und Datenstrukturen | 0 | 2 | 2 |
| DCAITI: Projekt Simulation Vertiefung vernetztes und automatisiertes Fahren | 0 | 1 | 1 |
| Machine Learning in Science and Industry | 0 | 1 | 1 |
| Molecular Communications and Nanonetworks | 0 | 2 | 2 |
| Natural Language Processing | 0 | 1 | 1 |
| Einführung in die Künstliche Intelligenz | 0 | 3 | 3 |
| Motion Planning | 0 | 1 | 1 |
| Quantum Cryptography | 0 | 2 | 2 |
| Aktuelle Forschung in KI & Robotik | 0 | 3 | 3 |
| Current Topics in Cryptocurrency and Blockchain Networks | 0 | 2 | 2 |
| Internet and Network Security | 0 | 1 | 1 |
| Introduction to Camera Geometry | 0 | 2 | 2 |
| Machine Learning and Inverse Modeling in Neuroimaging | 0 | 4 | 4 |
| Quality Assurance for Machine Learning | 0 | 3 | 3 |
| Deep Learning 2 | 0 | 5 | 5 |
| Analyse von (Online) Social Data: methodologische Herausforderungen, soziale Folgen und Grenzen | 0 | 1 | 1 |
| Speech and Audio Technology in Medicine | 0 | 1 | 1 |
| Klassische Algorithmen der Computer-Graphik | 0 | 3 | 3 |
| Large-scale Data Engineering | 0 | 1 | 1 |
| Programmierpraktikum: Plattformdaten und NLP | 0 | 2 | 2 |
| Recent Trends in Deep Learning for Computer Vision | 0 | 5 | 5 |
| Seminar Large-scale Data Engineering | 0 | 2 | 2 |
| System-on-Chip (SoC) + RISC-V Lab | 0 | 4 | 4 |
| Applied Security Lab | 0 | 3 | 3 |
| Machine Learning and Security - Project | 0 | 2 | 2 |
| Machine Learning and Security - Bachelor Seminar | 0 | 2 | 2 |
| Machine Learning and Security - Master Seminar | 0 | 2 | 2 |
| Foundations of Statistical Inference, Detection, and Estimation | 0 | 1 | 1 |
| Selected Topics in Natural Language Processing | 0 | 1 | 1 |
| Machine Learning and Communications | 0 | 3 | 3 |
| Data Integration and Large-scale Analysis | 0 | 3 | 3 |
| Uncertainty in Machine Learning | 0 | 4 | 4 |
| Topics in Biomedical Data Science | 0 | 2 | 2 |
| Foundations of Data Literacy and Data Science | 0 | 1 | 1 |
| Intelligent Security Lab | 0 | 1 | 1 |
| Grundlagen der automatischen Spracherkennung | 0 | 1 | 1 |
| Scalable Software Systems Project | 0 | 2 | 2 |
| Websecurity | 0 | 1 | 1 |
| Algorithms for Networked Systems | 0 | 4 | 4 |
| Advanced Topics in Networked and Distributed Systems | 0 | 2 | 2 |
| Algorithms for Distributed Systems | 0 | 4 | 4 |
| Project Hot Topics in Computer Vision A | 0 | 3 | 3 |
| Project Hot Topics in Computer Vision B | 0 | 3 | 3 |
| Responsible Artificial Intelligence | 0 | 2 | 2 |
| ROC Foundations for Graduate Research in Data Management and Machine Learning Systems | 0 | 5 | 5 |
| Programmierpraktikum: Datensysteme | 0 | 2 | 2 |
| Programmierpraktikum Algorithmen für Spiele und Puzzle | 0 | 2 | 2 |
| Programmierpraktikum: Quality Data Science | 0 | 3 | 3 |
| Machine Learning 1-X | 0 | 2 | 2 |
| Deep Learning 1-X | 0 | 1 | 1 |
| Deep Learning 2-X | 0 | 3 | 3 |
| Python for Machine Learning | 0 | 1 | 1 |
| Julia for Machine Learning | 0 | 1 | 1 |
| Machine Learning in Neuroscience | 0 | 1 | 1 |
| Blockchain Prototyping | 0 | 1 | 1 |
| Privacy Prototyping | 0 | 2 | 2 |
| Advanced Cloud Prototyping | 0 | 1 | 1 |
| Advanced Blockchain Prototyping | 0 | 1 | 1 |
| Advanced Privacy Prototyping | 0 | 2 | 2 |
| Programmierpraktikum Scalable Software Systems | 0 | 2 | 2 |
| Multi-Robot Systems | 0 | 1 | 1 |
| Flying Robots | 0 | 2 | 2 |
| Computational modeling - A practical course | 0 | 2 | 2 |
| Compiling Techniques | 0 | 3 | 3 |
| Programmierpraktikum: Entwurf und Implementierung von Programmiersprachen | 0 | 8 | 8 |
| Seminar: Aktuelle Forschungsthemen in Programmiersprachen und Compilern | 0 | 5 | 5 |
| Robot Learning | 0 | 3 | 3 |
| The Software Horror Picture Show | 0 | 1 | 1 |
| Natural Language Processing in Humans and Machines | 0 | 1 | 1 |
| Workshop Machine Learning Foundations for Physicists | 0 | 1 | 1 |
| Machine Learning 2-X | 0 | 4 | 4 |
| Medizinische Signalverarbeitung | 0 | 1 | 1 |
| Project Advanced Research Data Infrastructures | 0 | 1 | 1 |
| Project Large-scale Data Engineering (benotet) | 0 | 1 | 1 |
| Graduate Research Project DM I | 0 | 5 | 5 |
| Graduate Research Project ML I (6 LP) | 0 | 5 | 5 |
| Kognitionspsychologie | 0 | 1 | 1 |
| Magnetic Resonance Imaging | 0 | 5 | 5 |
| Technische Akustik - Grundlagen | 0 | 1 | 1 |
| Technische studentische Exoskelettentwicklung (RISE) I | 0 | 1 | 1 |
| Technische studentische Exoskelettentwicklung (RISE) II | 0 | 1 | 1 |
| Intellectual Property Management | 0 | 1 | 1 |