13E073AEF - Analog Electric Filters

Course specification
Course title Analog Electric Filters
Acronym 13E073AEF
Study programme Electrical Engineering and Computing
Type of study bachelor academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
ESPB 6.0 Status elective
Condition N/A
The goal Introduce the fundamental concepts of the analog electric filter design and the underlying filter design theory. Provide the theoretical background for all filter design stages. Introduce practical techniques for filter implementation, fabrication and laboratory measurements.
The outcome Understand the mathematical techniques that are used in analog electric filter design. Design filters that meet a given set of specifications and perform a basic sensitivity analysis of a filter. Be able to use CAD tools to verify the filters designed, account for real world implementation effects, and optimize the filter design.
URL to the subject page
URL to lectures
Contents of lectures Review of concepts and algorithms in modern electric circuit theory relevant to the design of analog electric filters (AEF). Fundamentals of electric circuit synthesis. Symbolic and numeric software tools for filter design. AEF design stages. Modeling and simulation. Implementation technologies and fabrication. Measurements on the laboratory prototype and documentation.
Contents of exercises Complete analog electric filter design: simulation, implementation (fabrication), measurements, documentation and presentation.
  1. V. V. Petrović, D. V. Tošić, A. R. Djordjević, Microwave Passive Circuits, University of Belgrade – School of Electrical Engineering, 2010. (Ch. 8. Microwave Filters)
  2. M. D. Lutovac, D. V. Tošić, B. L. Evans, Filter Design for Signal Processing using MATLAB and Mathematica, Prentice Hall, 2001. (Original title)
  3. L. Wanhammar, Analog Filters Using MATLAB, Springer, 2009. (Original title)
  4. H. G. Dimopoulos, Analog Electronic Filters: Theory, Design and Synthesis, Springer, 2012. (Original title)
Number of hours per week during the semester/trimester/year
Lectures Exercises OTC Study and Research Other classes
2 2 1
Methods of teaching Lectures, problem-solving classes, computer simulations, practical work in the laboratory.
Knowledge score (maximum points 100)
Pre obligations Points Final exam Points
Activites during lectures Test paper 40
Practical lessons Oral examination 10
Projects 50