B.Sc. Computer Science

Teaching Language: German

About the studyprogram

Research-oriented

Students who study Computer Science at the BTU Cottbus-Senftenberg benefit from an accredited 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.

Software Systems

Learn the development of complex application software with great demands on correctness and maintainability.

Computer Architecture

Learn the principles of computers, operating systems and networks and apply this knowledge in practice.

Theoretical Knowledge

Learn the basic mathematical foundations required to design and analyse a computer system.

The all-rounder among our IT study programs: everything is included, from software design to hardware. After your studies, you will have mastered the basics of computer science and can either specialize further in one of our IT master study programs or start your career directly.

Inform yourself and decide for
your computer science 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

Wintersemester 2023/2024 (version from 04.12.2023)

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
 
VL - Elektrische und elektronische Grundlagen der Informatik
(ZHG/HSB)
UE - Elektrische und elektronische Grundlagen der Informatik
(ZHG/HSB)
 
 
 
2. Block
09.15-10.45
 
VL - Elektrische und elektronische Grundlagen der Informatik
(ZHG/HSB)
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
PR - Programmierpraktikum
(VG1C/0.03)
VL - Entwicklung von Softwaresystemen
(ZHG/HSC)
PR - Programmierpraktikum
(VG1C/0.03)
PR - Programmierpraktikum
(VG1C/0.03)
VL - Programmierpraktikum
(ZHG/HSC)
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 - 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:

  • 1 lecture every week and one more lecture every second week (3 semester hours = 3 × 45 min)
  • 1 exercise every second week (1 semester hours = 1 × 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)

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:

  • Depending on the selected module

Exam requirements:

Depending on the selected module

Further information:

When choosing FÜS, you choose a module that is not IT-related. For this, there is a FÜS catalog with all modules, as well as a list of modules that may not be chosen.

To the FÜS list →

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 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 2023/2024 (version from 04.12.2023)

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.

11201: Analysis III →

11217: Wahrscheinlichkeitstheorie →

11333: Optimierung II →

11415: Graphentheorie →

11859: Cryptography →

11917: Mathematik W-3 (Statistik) →

11925: Grundlagen der Numerischen Mathematik →

11942: Numerische Mathematik →

11102: Lineare Algebra und analytische Geometrie II →

11104: Analysis II →

11312: Optimierung I →

11331: Mathematische Statistik →

11344: Spezielle Themen der Stochastik →

11405: Algorithmische Graphentheorie →

11409: Kombinatorik →

11918: Mathematik W-4 (Modellierung und Optimierung) →

11923: Grundlagen des Wissenschaftlichen Rechnens →

11943: Grundzüge des Wissenschaftlichen Rechnens →

12826: Mathematical Data Science →

13874: Introduction to Numerical Linear Algebra →

13889: Stochastic Processes →

13912: Coding Theory →

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