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.
First semester schedule
Sommersemester 2023 (version from 21.03.2023)
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.
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
Sommersemester 2023 (version from 21.03.2023)
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.
11113: Mathematik IT-2 (Lineare Algebra) →
11903: Digitaltechnik →
12101: Algorithmieren und Programmieren →
12204: Betriebssysteme I →
12214: Digitaltechnik-Praktikum →
11112: Mathematik IT-1 (Diskrete Mathematik) →
11213: Mathematik IT-3 (Analysis) →
11787: Theoretische Informatik →
12102: Programmierpraktikum →
12104: Entwicklung von Softwaresystemen →
12107: Elektrische und elektronische Grundlagen der Informatik →
12202: Softwarepraktikum →
11102: Lineare Algebra und analytische Geometrie II →
11312: Optimierung I →
11918: Mathematik W-4 (Modellierung und Optimierung) →
11923: Grundlagen des Wissenschaftlichen Rechnens →
11926: Statistik für Anwender →
11943: Grundzüge des Wissenschaftlichen Rechnens →
13849: Introduction to Computational Neuroscience →
13912: Coding Theory →
11216: Algebra (Methoden) →
11217: Wahrscheinlichkeitstheorie →
11331: Mathematische Statistik →
11409: Kombinatorik →
11415: Graphentheorie →
11917: Mathematik W-3 (Statistik) →
11925: Grundlagen der Numerischen Mathematik →
11942: Numerische Mathematik →
11952: Grundzüge der Mikroökonomik →
11957: Allgemeine Betriebswirtschaftslehre III: Beschaffung, Produktion und Absatz →
11971: Allgemeine Betriebswirtschaftslehre IV: Kosten- und Leistungsrechnung →
11945: Allgemeine Betriebswirtschaftslehre V: Finanzierung, Investition und Steuern →
11947: Einführung in die Volkswirtschaftslehre →
11949: Grundzüge der Makroökonomik →
11966: Allgemeine Betriebswirtschaftslehre VI: Unternehmensführung und Ethik →
12160: Allgemeine Betriebswirtschaftslehre I: Grundlagen der BWL →
12229: Allgemeine Betriebswirtschaftslehre II: Buchführung und Handelsbilanzierung →
11388: Audio- und Signalverarbeitung →
11909: Systemtheorie II →
31105: Technische Mechanik 2: Dynamik →
31408: Dynamik der Kraftfahrzeuge - Querdynamik →
35302: Elektrische Maschinen 2 - Betriebsverhalten →
11352: Informations- und Kodierungstheorie →
11744: Kognitive Systeme: Perzeption und Aktion →
11908: Systemtheorie I →
31102: Technische Mechanik 1: Statik und Festigkeitslehre →
31205: Strömungslehre →
31303: Höhere Strömungsmechanik →
31403: Dynamik der Kraftfahrzeuge - Längsdynamik →
35301: Regelung elektrischer Antriebe →
35305: Elektrische Maschinen 1 - Grundlagen →
36203: Grundzüge der Regelungs- und Automatisierungstechnik →
11517: Baumechanik - 1 →
11518: Baukonstruktion & Darstellungslehre →
11519: Baumechanik - 2 →
11520: Baustoffe & Bauchemie →
11521: Tragkonstruktion & Tragsicherheit →
11524: Ingenieurgeologie & Bodenmechanik →
11525: Statik - Stabtragwerke →
11102: Lineare Algebra und analytische Geometrie II →
11104: Analysis II →
11312: Optimierung I →
11859: Cryptography →
11918: Mathematik W-4 (Modellierung und Optimierung) →
11923: Grundlagen des Wissenschaftlichen Rechnens →
11943: Grundzüge des Wissenschaftlichen Rechnens →
13889: Stochastic Processes →
13912: Coding Theory →
11201: Analysis III →
11216: Algebra (Methoden) →
11217: Wahrscheinlichkeitstheorie →
11331: Mathematische Statistik →
11333: Optimierung II →
11344: Spezielle Themen der Stochastik →
11405: Algorithmische Graphentheorie →
11409: Kombinatorik →
11415: Graphentheorie →
11917: Mathematik W-3 (Statistik) →
11925: Grundlagen der Numerischen Mathematik →
11942: Numerische Mathematik →
12826: Mathematical Data Science →
11450: Effiziente Algorithmen →
12350: Compilerbau →
11881: Foundations of Data Mining →
12329: Approximationsalgorithmen →
12349: Moderne Funktionale Programmierung →
12351: Grundlagen des Data Mining →
13565: Einführung in Maschinelles Lernen →
11811: Künstliche Intelligenz in der Materialdiagnostik →
11911: Grundzüge der Kognition und Wahrnehmung →
12330: Datenbanken →
12345: Information Retrieval →
12978: Modellierung von Wahrnehmung und Handlung →
13668: Sensorimotor Processing in Health and Disease →
11293: Modellierung, Bearbeitung und Visualisierung von 3D-Objekten →
12311: Grundzüge der Computergrafik →
12316: Specification Languages and Processing Techniques for Web Documents →
12327: Erweiterte Datenbankmodelle →
12842: Einführung in Computational Neuroscience →
13500: Introduction to Neural Signal Analysis →
13568: Algorithmen der Computer Vision →
11454: Grundlagen der Rechnernetze →
11684: Sicherheitsengineering →
11861: Operating Systems II (Multi-Level Memory Management) →
11864: Wireless Sensor Networks: Concepts, Protocols and Applications →
12339: Betriebssysteme II (Speicherverwaltung: Mechanismen und Strategien) →
12341: Verteilte und Parallele Systeme I (Grundlagen) →
12352: Mikroelektronik: Entwurfsautomatisierung für digitale Schaltungen →
12882: Embedded Real-Time Systems →
The provided Modules and Associations are subject to change without notice and may not be complete!