Course of Study Computer Science (Study Cohort w22)

Sample course plan S Bachelor Computer Science (CSBS)
Specialisation I. Computer and Software Engineering, Specialisation II. Mathematics and Engineering Science, Specialisation III. Subject Specific Focus

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


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


Databases
Databases	VL	3
Databases - Exercise	GÜ	2


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


Software Industrial Internship


Compiler Construction
Compiler Construction	VL	2
Compiler Construction	GÜ	2


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


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


Computer Engineering
Computer Engineering	VL	3
Computer Engineering	GÜ	1


Stochastics
Stochastics	VL	2
Stochastics	GÜ	2


Seminars Computer Science
Introductory Seminar Computer Science II	SE	2
Introductory Seminar Computer Science I	SE	2


Algebra and Control
Algebra and Control	VL	2
Algebra and Control	GÜ	2


Procedural Programming for Computer Engineers
Procedural Programming for Computer Engineers	VL	2
Procedural Programming for Computer Engineers	HÜ	1
Procedural Programming for Computer Engineers	PR	2


Programming Paradigms
Programming Paradigms	VL	2
Programming Paradigms	HÜ	1
Programming Paradigms	PR	2


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


Software Engineering
Software Engineering	VL	2
Software Engineering	GÜ	2


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


Solvers for Sparse Linear Systems
Solvers for Sparse Linear Systems	VL	2
Solvers for Sparse Linear Systems	GÜ	2


Mathematics I (EN)
Mathematics I	VL	4
Mathematics I	HÜ	2
Mathematics I	GÜ	2


Mathematics II (EN)
Mathematics II	VL	4
Mathematics II	HÜ	2
Mathematics II	GÜ	2


Algorithms and Data Structures
Algorithms and Data Structures	VL	4
Algorithms and Data Structures	GÜ	1


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


Combinatorial Structures and Algorithms
Combinatorial Structures and Algorithms	VL	3
Combinatorial Structures and Algorithms	GÜ	1


Bachelor Thesis


Mathematics III (EN)
Analysis III	VL	2
Analysis III	HÜ	1
Analysis III	GÜ	1
Differential Equations 1	VL	2
Differential Equations 1	HÜ	1
Differential Equations 1	GÜ	1

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

Technical Complementary Course I for CSBS - 6LP

Technical Complementary Course II for CSBS - 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.