Jasmin Smajic: Catalogue data in Spring Semester 2022

Name	Dr. Jasmin Smajic
Address	Dep. Inf.techno.u.Elektrotechnik ETH Zürich, ETZ K 90 Gloriastrasse 35 8092 Zürich SWITZERLAND
Telephone	+41 44 633 89 88
E-mail	jasmin.smajic@ief.ee.ethz.ch
Department	Information Technology and Electrical Engineering
Relationship	Lecturer

Number	Title	ECTS	Hours	Lecturers
227-0160-00L	Fundamentals of Physical Modeling and Simulations	6 credits	2V + 2U + 1P	J. Smajic
Abstract	Mathematical description of different physical phenomena and numerical methods for solving the obtained equations are discussed. The course presents the fundamentals of mathematical modeling including ordinary and partial differential equations along with boundary and initial conditions. Finite Difference Method and Finite Element Method for solving boundary value problems are shown in detail.
Learning objective	After completing this course a student will understand the main idea of representing physical phenomena with mathematical equations, will be able to apply an appropriate numerical method for solving the obtained equations, and will possess the knowledge to qualitatively evaluate the obtained results.
Content	a. Introduction to physical modeling and simulations b. Numerical methods for solving boundary (initial) value problems b.i. Finite difference method (FDM) b.ii. Finite element method (FEM) c. Boundary (initial) value problems of different physical phenomena c.i. Static and dynamic electric current distribution in solid conductors c.ii. Static und dynamic electric charge transport in semiconductors c.iii. Induced eddy currents in low frequency range (with numerous examples from the area of electrical energy technology) c.iv. Wave propagation in the RF-, microwave-, and optical frequency range (with numerous examples relevant for communication technology) c.v. Static and dynamic temperature distribution in solid bodies (with numerous examples relevant for electrical energy technology) c.vi. Static and dynamic mechanical structural analysis (with numerous examples from the area of MEMS technology)
Lecture notes	Lecture notes, Matlab programs, exercises and their solutions will be handed out.
Literature	J. Smajic, “How To Perform Electromagnetic Finite Element Analysis”, The International Association for the Engineering Modelling, Analysis & Simulation Community (NAFEMS), NAFEMS Ltd., Hamilton, UK, 2016.
Prerequisites / Notice	Fundamentals of Electromagnetic Fields, and Bachelor Lectures on Physics.
227-0707-00L	Optimization Methods for Engineers	3 credits	2G	J. Smajic
Abstract	First half of the semester: Introduction to the main methods of numerical optimization with focus on stochastic methods such as genetic algorithms, evolutionary strategies, etc. Second half of the semester: Each participant implements a selected optimizer and applies it on a problem of practical interest.
Learning objective	Numerical optimization is of increasing importance for the development of devices and for the design of numerical methods. The students shall learn to select, improve, and combine appropriate procedures for efficiently solving practical problems.
Content	Typical optimization problems and their difficulties are outlined. Well-known deterministic search strategies, combinatorial minimization, and evolutionary algorithms are presented and compared. In engineering, optimization problems are often very complex. Therefore, new techniques based on the generalization and combination of known methods are discussed. To illustrate the procedure, various problems of practical interest are presented and solved with different optimization codes.
Lecture notes	PDF of a short skript (39 pages) plus the view graphs are provided
Prerequisites / Notice	Lecture only in the first half of the semester, exercises in form of small projects in the second half, presentation of the results in the last week of the semester.
401-5870-00L	Seminar in Electromagnetics for CSE	4 credits	2S	J. Smajic, J. Leuthold
Abstract	Discussion of fundamentals of electromagnetics and various applications (wave propagation, scattering, antennas, waveguides, bandgap materials, etc.). Numerical methods suited for the analysis of electromagnetic fields and for the optimal design of electromagnetic structures.
Learning objective	Knowledge about classical electromagnetics, main applications, and appropriate numerical methods.
Prerequisites / Notice	Students study a selected topic and give a 15-30 minutes presentation towards the end of the semester. The topic and the supervisor is defined in a discussion with J. Smajic or J. Leuthold.