B.Sc. Artificial Intelligence Engineering - Board of IT Students

Research-oriented

Students who study Artificial Intelligence Engineering at the BTU Cottbus-Senftenberg benefit from an bachelor degree based on recognized scientific standards.

Professional Qualifying

A university bachelor degree provides you with all the foundations required to start a professional career in the area of IT and continue educating yourself on your own.

Bachelor-Thesis

Your first scientific work that you create under supervision. You work on various topics and develop a prototype.

Hard- and Softwaresystems

Integrate algorithms into hardware and software systems while exploring application areas of AI.

Ethical Concerns

Prevent the world from being taken over by robots and discuss what place AI should have in everyday life.

Theoretical Knowledge

Learn the key mathematical and electrical engineering fundamentals to efficiently implement artificial intelligence applications.

This IT study program teaches you the fundamentals of computer science, electrical engineering and psychology to develop complex hardware / software-based systems using or for use in AI. After your studies, you can specialize in one of our IT master's programs (especially AI technology) or start your career directly.

Inform yourself and decide for
your AI Engineering studies at BTU

We provide all the important information about the study program and the start of studies for your decision-making process.

Apply and enroll now →

Official Page → Freshman Guide → Timetable → Current modules →

First semester schedule

Sommersemester 2024 (version from 12.04.2024)

To make our first semester more successful, we offer you the possibility to view your schedule directly. In future semesters, you will have more freedom and need a personalized schedule.

Events:

2 lectures every week (4 semester hours = 4 × 45 min)
1 exercise every week (2 semester hours = 2 × 45 min)

Exam requirements:

Submission of a group exercise sheet every week (at least 75% solved correctly; on request with revision)

Further information:

This module leads you to the practice of software development. This includes the analysis, the design, the implementation and the testing of software. For further information, see the module description.

To the official course description →

Events:

1 lecture every week (2 semester hours = 2 × 45 min)
1 seminar every week (2 semester hours = 2 × 45 min)
1 exercise every week (2 semester hours = 2 × 45 min)

Exam requirements:

No prerequisite is required. However, experience shows that the exercise should be attended if you want to pass the exam.

Further information:

The module deals with physical and electrical engineering backgrounds that contribute to the understanding of technical computer science. Transistors, electromagnetic fields and circuits are discussed.

To the official course description →

Events:

2 lectures every week (4 semester hours = 4 × 45 min)
1 exercise every week (2 semester hours = 2 × 45 min)
1 optional Tutoring of the FSR IT every week (2 semester hours = 2 × 45 min)

Exam requirements:

Submission of an exercise sheet every week (at least 50% solved correctly), as well as participation in the mock exam

Further information:

The module deals with the mathematical-logical foundations that you need in the study of computer science. This includes formal logic, combinatorics, the Landau notation and later an introduction to graph theory.

To the official course description →

Events:

1 Proseminar every week (2 semester hours = 2 × 45 min)

Exam requirements:

Currently unknown

Further information:

Currently unknown

To the official course description →

Events:

1 lecture every second week (1 semester hour = 1 × 45 min)
1 practical exercise every week (2 semester hours = 2 × 45 min)

Exam requirements:

Weekly submission of exercise sheets (70%) and participation in a programming test (30%). In total, 75% of the points must be reached to pass the module.

Further information:

The course introduces the programming language Java. The lectures provide additional background and information that are helpful for the practical exercises.

To the official course description →

Current modules in semester

Sommersemester 2024 (version from 12.04.2024)

Here you can find all modules and categories offered in this semester. Use our Timetable Creator → to create your individual timetable. If you have questions about the module selection, please contact the FSR or the academic advisor.

About the studyprogram

Research-oriented

Professional Qualifying

Bachelor-Thesis

Hard- and Softwaresystems

Ethical Concerns

Theoretical Knowledge

Inform yourself and decide for your AI Engineering studies at BTU

First semester schedule

Development of Software Systems (8 CP)

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Exam requirements:

Further information:

Fundamentals in Electrical Engineering (6 CP)

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Further information:

Mathematics IT-1 (Discrete Mathematics) (8 CP)

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Further information:

Methods and Technology of Artificial Intelligence (4 CP)

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Programming Laboratory (4 CP)

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Current modules in semester

Mandatory subject

Complex: Mathematics

Complex: Hardware-based systems

Complex: Cognitive and neurosciences

Complex: Software-based systems

Bachelor Thesis

Inform yourself and decide for
your AI Engineering studies at BTU