Search result: Catalogue data in Autumn Semester 2021

Electrical Engineering and Information Technology Bachelor Information
3rd Semester: Examination Blocks
Examination Block 1
NumberTitleTypeECTSHoursLecturers
401-0353-00LAnalysis 3 Information Restricted registration - show details O4 credits2V + 2UM. Iacobelli
AbstractIn this lecture we treat problems in applied analysis. The focus lies on the solution of quasilinear first order PDEs with the method of characteristics, and on the study of three fundamental types of partial differential equations of second order: the Laplace equation, the heat equation, and the wave equation.
ObjectiveThe aim of this class is to provide students with a general overview of first and second order PDEs, and teach them how to solve some of these equations using characteristics and/or separation of variables.
Content1.) General introduction to PDEs and their classification (linear, quasilinear, semilinear, nonlinear / elliptic, parabolic, hyperbolic)

2.) Quasilinear first order PDEs
- Solution with the method of characteristics
- COnservation laws

3.) Hyperbolic PDEs
- wave equation
- d'Alembert formula in (1+1)-dimensions
- method of separation of variables

4.) Parabolic PDEs
- heat equation
- maximum principle
- method of separation of variables

5.) Elliptic PDEs
- Laplace equation
- maximum principle
- method of separation of variables
- variational method
LiteratureY. Pinchover, J. Rubinstein, "An Introduction to Partial Differential Equations", Cambridge University Press (12. Mai 2005)
Prerequisites / NoticePrerequisites: Analysis I and II, Fourier series (Complex Analysis)
402-0053-00LPhysics IIO8 credits4V + 2UG. Scalari
AbstractThe goal of the Physics II class is an introduction to quantum mechanics
ObjectiveTo work effectively in many areas of modern engineering, such as renewable energy and nanotechnology, students must possess a basic understanding of quantum mechanics. The aim of this course is to provide this knowledge while making connections to applications of relevancy to engineers. After completing this course, students will understand the basic postulates of quantum mechanics and be able to apply mathematical methods for solving various problems including atoms, molecules, and solids. Additional examples from engineering disciplines will also be integrated.
ContentContent:
- Wave mechanics: the old quantum theory
- Postulates and formalism of Quantum Mechanics
- First application: the quantum well and the harmonic Oscillator
- QM in three dimension: the Hydrogen atom
- Identical particles: Pauli's principle
- Crystalline Systems and band structures
- Quantum statistics
- Approximation Methods
- Applications in Engineering
- Entanglement and superposition
Lecture notesLecture notes (hand-written) will be distributed via the Moodle interface
LiteratureDavid J. Griffiths, "Introduction to quantum mechanics" Second edition, Cambridge University Press.

Link
Prerequisites / NoticePrerequisites: Physics I.
227-0045-00LSignals and Systems IO4 credits2V + 2UH. Bölcskei
AbstractSignal theory and systems theory (continuous-time and discrete-time): Signal analysis in the time and frequency domains, signal spaces, Hilbert spaces, generalized functions, linear time-invariant systems, sampling theorems, discrete-time signals and systems, digital filter structures, Discrete Fourier Transform (DFT), finite-dimensional signals and systems, Fast Fourier Transform (FFT).
ObjectiveIntroduction to mathematical signal processing and system theory.
ContentSignal theory and systems theory (continuous-time and discrete-time): Signal analysis in the time and frequency domains, signal spaces, Hilbert spaces, generalized functions, linear time-invariant systems, sampling theorems, discrete-time signals and systems, digital filter structures, Discrete Fourier Transform (DFT), finite-dimensional signals and systems, Fast Fourier Transform (FFT).
Lecture notesLecture notes, problem set with solutions.
252-0836-00LComputer Science II Information O4 credits2V + 2UM. Schwerhoff, F. Friedrich Wicker
AbstractThe course provides the foundations for the design and analysis of algorithms.
Classical problems ranging from sorting up to problems on graphs are used to discuss common data structures, algorithms and algorithm design paradigms.
The course also comprises an introduction to parallel and concurrent programming.
ObjectiveAn understanding of the analysis and design of fundamental and common algorithms and data structures. Knowledge regarding chances, problems and limits of parallel and concurrent programming.
ContentData structures and algorithms: mathematical tools for the analysis of algorithms (asymptotic function growth, recurrence equations, recurrence trees), informal proofs of algorithm correctness (invariants and code transformation), design paradigms for the development of algorithms (induction, divide-and-conquer, backtracking and dynamic programming), classical algorithmic problems (searching, selection and sorting), data structures for different purposes (linked lists, hash tables, balanced search trees, heaps, union-find), further tools for runtime analysis (generating functions, amortized analysis. The relationship and tight coupling between algorithms and data structures is illustrated with graph algorithms (traversals, topological sort, closure, shortest paths, minimum spanning trees).

Parallel programming: structure of parallel architectures (multicore, vectorization, pipelining) concepts of parallel programming (Amdahl's and Gustavson's laws, task/data parallelism, scheduling), problems of concurrency (data races, bad interleavings, memory reordering), process synchronisation and communication in a shared memory system (mutual exclusion, semaphores, monitors, condition variables). The concepts are underpinned with examples of concurrent and parallel programs and with parallel algorithms, implemented in C++.

In general, the concepts provided in the course are motivated and illustrated with practically relevant algorithms and applications.

Exercises are carried out in Code-Expert, an online IDE and exercise management system.

All required mathematical tools above high school level are covered, including a introduction to graph theory.
Lecture notestba
LiteratureCormen, Leiserson, Rivest, and Stein: Introduction to Algorithms, 3rd ed., MIT Press, 2009. ISBN 978-0-262-03384-8 (recommended text)

B. Stroustrup, The C++ Programming Language (4th Edition) Addison-Wesley, 2013.
Prerequisites / NoticePrerequisite: Computer Science I
Examination Block 2
NumberTitleTypeECTSHoursLecturers
227-0077-10LElectronic Circuits Information O4 credits2V + 2UT. Burger
AbstractIntroductory lecture on electronic circuits. Transistor fundamentals, analysis and design of transistor based electronic circuits such as amplifiers and filters; operational amplifiers and circuits based thereon.
ObjectiveModern, transistor-based electronics has transformed our lives and plays a crucial role in our economy since the 2nd half of last century. The main objective of this course in electronic circuits is to introduce the concept of the active device, including operational amplifiers, and their use in amplification, signal conditioning, switching and filtering to students. In addition to gaining experience with typical electronic circuits that are found in common applications, including their own Gruppenarbeit and Fachpraktikum projects, students sharpen their understanding of linear circuits based on nonlinear devices, imperfections of electronic circuits and the concept of design (as opposed to analysis). The course is a prerequisite for higher semester subjects such as analog integrated circuits, RF circuits for wireless communications, A/D and D/A converters and optoelectronics.
ContentReview of transistor devices (bipolar and MOSFET), large signal and small signal characteristics, biasing and operating points. Single transistor amplifiers, simple feedback for bias stabilization. Frequency response of simple amplifiers. Broadbanding techniques. Differential amplifiers, operational amplifiers, variable gain amplifiers. Instrumentation amplifiers: common mode rejection, noise, distortion, chopper stabilization. Transimpedance amplifiers. Active filters: simple and biquadratic active RC-filters, higher order filters, biquad and ladder realizations. Switched-capacitor filters.
LiteratureGöbel, H.: Einführung in die Halbleiter-Schaltungstechnik. Springer-Verlag Berlin Heidelberg, 6th edition, 2019.

Pederson, D.O. and Mayaram, K.: Analog Integrated Circuits for Communication. Springer US, 2nd edition, 2008.

Sansen, W.M.C.: Analog Design Essentials. Springer US, 1st edition, 2006.

Su, K.L.: Analog Filters. Springer US, 2nd edition, 2002.
401-0053-00LDiscrete MathematicsO4 credits2V + 1UD. Adjiashvili
AbstractIntroduction to foundations of discrete mathematics: combinatorics (elementary counting), graph theory, algebra, and applications thereof.
ObjectiveThe main goal is to get a good understanding of some of the most prominent areas within discrete mathematics.
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