Course of Study Computer Science (Study Cohort w19)

Sample course plan T Bachelor Computer Science (CSBS)
Specialisation Computer and Software Engineering

Legend:
Core Qualification Compulsory	Specialisation Compulsory	Focus Compulsory	Thesis Compulsory
Core Qualification Elective Compulsory	Specialisation Elective Compulsory	Focus Elective Compulsory	Interdisciplinary complement


Discrete Algebraic Structures
Discrete Algebraic Structures	VL	2
Discrete Algebraic Structures	GÜ	2


Objectoriented Programming, Algorithms and Data Structures
Objectoriented Programming, Algorithms and Data Structures	VL	4
Objectoriented Programming, Algorithms and Data Structures	GÜ	1


Computer Engineering
Computer Engineering	VL	3
Computer Engineering	GÜ	1


Computability and Complexity Theory
Computability and Complexity Theory	VL	2
Computability and Complexity Theory	GÜ	2


Seminars Computer Science and Mathematics
Seminar Computational Engineering Science	SE	2
Seminar Computer Science/Mathematics	SE	2
Seminar Computer Science/Engineering Mathematics	SE	2


Signals and Systems
Signals and Systems	VL	3
Signals and Systems	GÜ	2


Procedural Programming
Procedural Programming	VL	1
Procedural Programming	HÜ	1
Procedural Programming	PR	2


Automata Theory and Formal Languages
Automata Theory and Formal Languages	VL	2
Automata Theory and Formal Languages	GÜ	2


Computernetworks and Internet Security
Computer Networks and Internet Security	VL	3
Computer Networks and Internet Security	GÜ	1


Stochastics
Stochastics	VL	2
Stochastics	GÜ	2


Software Industrial Internship


Introduction into Medical Technology and Systems
Introduction into Medical Technology and Systems	VL	2
Introduction into Medical Technology and Systems	PS	2
Introduction into Medical Technology and Systems	HÜ	1


Functional Programming
Functional Programming	VL	2
Functional Programming	HÜ	2
Functional Programming	GÜ	2


Mathematical Analysis
Mathematical Analysis	VL	4
Mathematical Analysis	HÜ	2
Mathematical Analysis	GÜ	2


Mathematics III
Analysis III	VL	2
Analysis III	GÜ	1
Analysis III	HÜ	1
Differential Equations 1	VL	2
Differential Equations 1	GÜ	1
Differential Equations 1	HÜ	1


Software Engineering
Software Engineering	VL	2
Software Engineering	GÜ	2


Introduction to Communications and Random Processes
Introduction to Communications and Random Processes	VL	3
Introduction to Communications and Random Processes	HÜ	1
Introduction to Communications and Random Processes	GÜ	1


Embedded Systems
Embedded Systems	VL	3
Embedded Systems	GÜ	1


Linear Algebra
Linear Algebra	VL	4
Linear Algebra	HÜ	2
Linear Algebra	GÜ	2


Graph Theory and Optimization
Graph Theory and Optimization	VL	2
Graph Theory and Optimization	GÜ	2


Computer Architecture
Computer Architecture	VL	2
Computer Architecture	PBL	2
Computer Architecture	GÜ	1


Lab Cyber-Physical Systems
Lab Cyber-Physical Systems	PBL	4


Foundations of Management
Introduction to Management	VL	3
Management Tutorial	HÜ	2


Introduction to Information Security
Introduction to Information Security	VL	3
Introduction to Information Security	GÜ	2


Operating Systems
Operating Systems	VL	2
Operating Systems	GÜ	2


Quantum Mechanics for Engineers
Quantum Mechanics for Engineers	VL	2
Quantum Mechanics for Engineers	GÜ	2


Bachelor Thesis

Non-technical Courses for Bachelors (from catalogue) - 6LP

The choice of courses from the catalogue is flexible (depends on the semestral work load), provided the necessary number of required credits is reached.