International Program
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Profile
Economics
Computer Science
Engineering
Courses in the field of study Engineering: Summer 24
+ fundamentals of cleanroom technology
+ cleanrooms for various applications
+ contamination aspects in the production of microsystems
+ cleanroom concepts
MECB 411A
2 CP
Prof. Schecker
not graded!
Course description
+ design of a complex assembly or machine in consideration of function, load, stress and fatigue
+ improve your team work abilities
+ use evaluation criterias
+ define benchmarks
MABB333W
2 CP
Prof. Wollfahrt
Prerequisites: Engineering mechanics, design methods, CAD program CREO
+ design a complex assembly or machine in consideration of function, load, stress and fatigue
+ improve your teamwork abilities
+ use evaluation criteria
+ define benchmarks
MABB432
3 CP
Prof. Hirsch
Only for students of mechanical engineering,
Prerequisites: Design Methods, CAD
+ relevance and quantification of power consumption of autonomous microsystems
+ primary and secondary energy buffers
+ characterization and design of relevant energy harvesting technologies
MECB611A
3 CP
Prof. Ahrend
+ basic knowledge of monolithic, hybrid and SMD construction of circuits
+ substrate variants, substrate production
+ paste variants, paste production
+ procedure for layout production
MECB 412A
4 CP
Prof. Schecker
Course description
+ fundamental aspects and electrochemical basics
+ cathodes, anodes, electrolytes
+ separators of general and specific lithium(ion) batteries are discussed
MECB 101
2 CP
Prof. Schecker
not graded!
A system based on integrated circuits is designed and realized.
MECB611A
3 CP
Prof. Schecker
+ fundamentals of measurement and test engineering
+ terms as accuracy, resolution, linearity, reproducibility and error
+ physics of different sensor effects
+ influence of elecromagnetic disturbance, noise
MECB441
2 CP
Prof. Gintner
Prerequisites: basics in digital and analogue electronics
+ discussion of fundamentals of measurement and test engineering
+ terms as accuracy, resolution, linearity, reproducibility and error and error propagation
+ influence of electromagnetic disturbance
MECB442
1 CP
Prof. Gintner
Only in combination with lecture Sensors
First study year
+ sinusoidal inputs and their representations
+ RLC/ AC Circuits
+ lecture & written exam
EEIB 121
4 CP + 3 CP
Lecturer: Prof. Klönne
Limited places in the lab!
+ number systems
+ Boelean Algebra
+ basic circuits of digital technology
+ lecture & written exam
EEIB 241
4 CP + 2 CP
Lecturer: Prof. Nenninger
Limited places in the lab!
+ basic concepts and terms of electric and magnetic fields
+ static and dynamic response of circuits
+ Maxwell’s equations
+ lecture, written exam
EEIB 231
4 CP
Lecturer: Prof. Markus Graf
+ matrices
+ integral calculus
+ first order differential equations
+ lecture, written exam
EEIB 210
7 CP
Lecturer: Prof. Westermann
Second study year
+ semiconductor materials, diodes, bipolar- and field effect-transistors
+ small-signal parameters
+ designing circuits for application
+ exam, colloquia, lab experiments & written report
EEIB421
5 CP + 2 CP
Lecturer: Prof. Klönne
Limited places in the lab
+ describing signals in the time domain with mathematical functions
+ applying the Laplace transform to continuous-time signals
+ reading system properties from impulse responses and transfer functions
EEIB 441
5 CP + 2 CP
Prof. Keller
Limited places in the lab!
+ sources of errors, measurement uncertainty, error propagation
+ measuremend methods
+ simulation of measurement methods with LT-Spice
+ exam + Lab experiment, written report
EEIB321
4 CP + 3 CP
Lecturer: Prof. Wolfrum
Limited places in the lab!
+ fundamentals of sensor technology
+ working principles of physical sensors
+ methods of signal conditioning
Master level
+ ice creation and thermo-physical properties of ice slurries and other characteristics
+ fluid dynamics and thermodynamics of ice slurry
+ heat transfer
+ ice slurry production
M 8670, 3 CP
Prof. Kauffeld
Prerequisites: Thermodynamics, Fluid dynamics, Refrigeration technology
+ introduction: autonomous systems
+ probability and information theory
+ Deep Learning in Convolutional Neural Networks
+ lab: project work
EITM 220, 5 CP
Lecturer: Prof. Bauer