Commented University Calendar

Experimental Course Basics of Electrical Engineering I

Course Units (new window)

Instructor:

Wolfgang Hansen und Mitarbeiter

Course Format:

2 hours Practical Course

Period:

Summer Semester

Language:

German

Recommended Previous Knowledge:

Physics-Part: Attendance of lectures on Physics I and II

Software-Part: Attendance of lectures Calculus I und II and Linear Algebra I and II

Contents:

Content (Physics-Part):

Alltogether exactly 5 experiments should be conducted from the following physics areas:

  1. Heat
  2. Electromagnetic fields
  3. Atomic and nuclear physics
  4. Oscillations and waves
  5. Transformation of energy

Content (Software-Part):

In the course of the laboratory the students learn how to use MATLAB and its toolbox INTLAB. Tutorials with examples and problems to solve are provided. Subsequently, the basics of computer arithmetics and analysis of round off errors are dealt with using numerous examples and a tutorial. Numerical methods for solving nonlinear systems of equations are implemented which allow both approximative and verified numerical results. Quality and effort are analysed using various examples.

Learning Outcomes:

Aspired results (Physics-Part):

Knowledge:

  • Students work autonomously on fundamental physics topics and laws
  • Coverage of relevant physics topics

Methods:

  • Conducting of physics experiments by students in small teams
  • Build-up of capabilities to prepare a meaningful report
  • Analysis and discussion of results

Soft skills:

  • Working in a team
  • Rhetorical capabilities

Aspired results (Software-Part):

Knowledge:

  • Fundamental knowledge in MATLAB programming
  • Programming numerical methods for solving nonlinear systems of equations
  • Basics of computer arithmetics
  • Conditioning of problems and methods
  • Calculation of verified numerical resluts with INTLAB

Methods:

  • Distinguishing between ill conditioned problems and ill conditioned methods
  • Judging the quality of numerical results with practical examples

Soft skills:

  • Capabilities to use software to solve numerical problems
  • Autonomous programming

Reading Resources:

Literatur (Physik-Teil):

Orear, J., Physik, Hanser, 1989

Vogel, H., "Gerthsen" Physik, Springer, 2004

Tipler, P. A., Physik für Wissenschaftler und Ingenieure, Spektrum, 2004

Giancoli, D. C., Physik, Pearson Studium, 2006

Halliday, D.; Resnick R., Physik, Wiley-VCH, 2005

Fishbane, P. M., Physics for scientists and engineers, Prentice-Hall International, 2004

Cutnell, J. D., Physics - Student Solutions Manual, Wiley & Sons Inc., 2006

Literatur (Software-Teil):

Moler, C., Numerical Computing with MATLAB, SIAM, 2004

The Math Works, Inc. , MATLAB: The Language of Technical Computing, 2007

Rump, S. M., INTLAB: Interval Labority, http://www.ti3.tu-harburg.de

Highham, D. J.; Highham, N. J., MATLAB Guide, SIAM, 2005

Performance Record:

Test

The registration for the practice groups takes place on Stud.IP under "Participants -> Functions / Groups".

Workload:

60 hours total

Further Information:

https://e-learning.tu-harburg.de/studip/

Contact:

m.eich@tuhh.de; rump@tuhh.de

Credit points of this module can be found in the course plan for the corresponding course of study.

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