Mathematics for Radar and Electronic Protection (2016)

EEE 5108Z (2016) Mathematics - Class Photo

Course Information

Dates: 14 to 18 March 2016

Course code: EEE5108Z

Venue: Menzies Seminar Room, 6th Floor, Menzies Building (Upper Campus), University of Cape Town


Course Description

Course Handout: Mathematics 2016
Download Course Handout: Mathematics for Radar and Electronic Protection 2016

This course provides a useful mathematical toolkit for the Radar and Electronic Defence Engineer. Emphasis is on practical calculation and useful ‘tricks of the trade’ rather than mathematical rigour. The textbook, Advanced Engineering Mathematics, E. Kreyszig (Wiley) (with many editions available but edition 9 preferred) is prescribed. Some notes are also made available to assist the student.

Having successfully completed this course, students should be able to:

  • Understand calculus, linear algebra, special functions and at a level that enables them to access and make use of the radar research literature;
  • Carry through detailed calculations based on this material;
  • Be able to identify mathematical techniques most appropriate to the analysis of a particular application.


Course Overview

Specific course topics include (estimated number of lectures and acronyms shown in brackets):

  • Ordinary differential equations (7) (ODE)
  • Laplace transforms (3) (LT)
  • Fourier analysis (3) (FA)
  • Partial differential equations (2) (PDE)
  • Complex analysis (8) (CA)



Pieter UysDr Pieter Uys is a Senior Scholar in the Department of Mathematics and Applied Mathematics, University of Cape Town, having been a Senior Lecturer in that department from 2003 until 2013. After receiving his PhD from the University of Natal in 1986, he was a Senior Lecturer in Mathematics and Applied Mathematics there until 1999. In 2002, he graduated with a Diploma in Epidemiological Modelling from the London School of Tropical Medicine and Hygiene. Since 2008, he has been a Senior Research Fellow at the DST/NRF Centre of Excellence for Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University.