Principles of Information Engineering
Lecturer: Andreas Gründinger
Target Audience: Bachelor/Master Management and Technology
Language: English
Next Exam: tbd. (no responsibility is taken for the correctness of this information)
Additional Information: TUMonline and Moodle
Lectures/Exercises in Winter Semester 2024/25
| Friday | 15:45– 18:15 | 1100 |
| First lecture: Friday, 2024-10-18 |
Description
The module is designed for non-engineering students (in particular students in Management and Technology) who aim at understanding the fundamental principles and concepts of modern information transmission and processing. It consists of lectures, tutorials, and self-study.
Contents
Fundamentals:
- Elements of Stochastic Modeling and Analysis
- Signals (analog/digital, deterministic/stochastic, real/complex)
- The Frequency Domain (Fourier transform, spectrum and bandwidth, sampling theorem)
- Information Theory (fundamentals, source coding, channel coding, channel capacity)
Information Transmission and Storage Systems:
- Elements of Data Transmission (transmission chain, filtering, modulation, detection)
- Communication Systems (real systems compared to theory, channel models, performance criteria, comparison to data storage, current trends)
- Communication Networks (network structures, interference, broadcast and multiple access, multihop and relaying, abstraction layers, network planning)
Elements of Information Processing:
- Data Processing Devices (abstraction layers, real systems compared to theory, digital processing, algorithms and complexity)
- Data Acquisition and Analysis (sampling and quantization, information and noise modeling, feature extraction, machine learning)
- Security Aspects (reliability, security, secrecy, encryption)