B.Sc. Artificial Intelligence Engineering

Teaching Language: German

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.

Ready to study AI Engineering? (German) Then enroll now!

Julius Kiekbusch

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Information for Freshmen

You want to know more about studying in general, how you can prepare yourself or what you should consider as a freshman? Then take a look at our Freshmen Guide (Bachelor) → .

First semester schedule

Wintersemester 2022/2023 (version from 29.11.2022)

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.

Zeit Mo Di Mi Do Fr
1. Block
07.30-09.00
 
 
UE - Grundlagen der Elektrotechnik
(LG3A/352)
UE - Elektrotechnik I: Gleichstromtechnik und Felder
(LG3A/352)
 
 
2. Block
09.15-10.45
PS - Methoden und Technologie der Künstlichen Intelligenz
(ZHG/SR2)
UE - Grundlagen der Elektrotechnik
(LG3A/352)
UE - Elektrotechnik I: Gleichstromtechnik und Felder
(LG3A/352)
UE - Grundlagen der Elektrotechnik
(LG3A/352)
UE - Elektrotechnik I: Gleichstromtechnik und Felder
(LG3A/352)
UE - Mathematik IT-1 (Diskrete Mathematik)
(HG0.17)
TU - Mathematik IT-1 (Diskrete Mathematik)
(HG0.17)
VL - Entwicklung von Softwaresystemen
(ZHG/HSC)
3. Block
11.30-13.00
 
VL - Entwicklung von Softwaresystemen
(ZHG/HSC)
PR - Programmierkurs (Mathematik)
(VG1C/0.03)
PR - Programmierpraktikum (IMT)
(VG1C/0.03)
PR - Programmierpraktikum
(VG1C/0.03)
 
VL - Programmierkurs (Mathematik)
(ZHG/HSB)
VL - Programmierpraktikum (IMT)
(ZHG/HSB)
VL - Programmierpraktikum
(ZHG/HSB)
4. Block
13.45-15.15
VL - Mathematik IT-1 (Diskrete Mathematik)
(ZHG/Audimax1)
VL - Mathematik IT-1 (Diskrete Mathematik)
(LG1A/HS2)
UE - Mathematik IT-1 (Diskrete Mathematik)
(LG1A/304)
 
PR - Programmierkurs (Mathematik)
(VG1C/0.03)
PR - Programmierpraktikum (IMT)
(VG1C/0.03)
PR - Programmierpraktikum
(VG1C/0.03)
5. Block
15.30-17.00
UE - Entwicklung von Softwaresystemen
(ZHG/SR1)
UE - Entwicklung von Softwaresystemen
(HG0.19)
UE - Mathematik IT-1 (Diskrete Mathematik)
(HG2.45)
 
 
 
6. Block
17.30-19.00
UE - Entwicklung von Softwaresystemen
(ZHG/SR1)
UE - Entwicklung von Softwaresystemen
(ZHG/HSB)
 
 
 

The information in the timetable is subject to change without notice!

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

Wintersemester 2022/2023 (version from 29.11.2022)

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.

The provided Modules and Associations are subject to change without notice and may not be complete!