Regulations
- Students take courses in the compulsory catalog that are not a compulsory part of the regular curriculum of the program they are studying in and are not selected as an elective (compulsory) offer. Suppose the regular curriculum no longer allows two courses to be selected from the compulsory catalog. In that case, one course may be replaced by an offering from the elective catalog after consulting with those responsible for the certificate program.
- The courses are to be completed with the corresponding examinations, as a rule, the successful completion of the module examination.
- The AISA Study Project includes the completion of a project task (assigned by the AISA scientists) as well as the presentation of a poster on it in the context of a joint poster session.
- In addition, students choose two modules of 6 ECTS each from the compulsory elective catalog. Here, crediting a module already completed in the regular course of study of max. 6 ECTS is possible, provided it is one of the modules from the compulsory elective catalog.
- Another prerequisite for receiving the certificate is a presentation on a self-selected topic from the subject area of the courses completed in the elective.
Compulsory Catalog
- Two courses from the following three options
- Software Engineering for AI-based Systems (6 ECTS)
- Introduction to AI (6 ECTS)
- Machine Learning (6 ECTS)
- Interdisciplinary AI Software Project (6 ECTS) [ab Sommersemester 2023]
- Critically Reflecting on Intelligent Systems in Society (3 ECTS)
- AISA Study Project (3 ECTS)
You can find more details about the courses here: https://www.aisa.uni-stuttgart.de/training/course-offerings/.
Compulsory Elective Catalog
- Software Engineering for AI-based Systems (6 ECTS) [nur möglich, wenn nicht im Pflichtkatalog gewählt]
- Introduction to AI (6 ECTS) [nur möglich, wenn nicht im Pflichtkatalog gewählt]
- Machine Learning (6 ECTS) [nur möglich, wenn nicht im Pflichtkatalog gewählt]
- Qualitative Analyse von Software Designs (6 ECTS)
- Advanced Software Testing and Analysis (6 ECTS)
- Simulation Software Engineering (6 ECTS)
- Optimierung, Machine Learning und Deep Learning für Architekten und Ingenieure (6 ECTS)
- Data Processing for Engineers and Scientists (6 ECTS)
- Mathematical Foundations of (Post-Quantum) Cryptography (6 ECTS)
- Post-Quantum Secure Cryptography (6 ECTS)
- Introduction to Modern Cryptography (6 ECTS)
- Security and Privacy (6 ECTS)
- System and Web Security (6 ECTS)
You can find more details about the courses here: https://www.aisa.uni-stuttgart.de/training/course-offerings/.
Registration - AISA Diploma of Advanced Studies (DAS)
Please fill out this form to register for the AISA Diploma of Advanced Studies.