ECE 700 Topic 4 - Fall 2013

ECE 700 Topic 4 - Analytical Methods for Electrical and Computer Engineering

Instructor: Dr. Albert Wasef, E2- 3346.A, ext. 31155 Email: awasef@uwaterloo.ca
Time: Thursdays 5:30pm-8:20pm
Room: RCH 306
Office hours: To be announced, or by appointment.
Course website: LEARN

Course Description

With the increased interconnection of research areas within Electrical and Computer engineering, it is becoming more critical that individuals possess an increased breadth of knowledge with a strong background in all facets of Electrical and Computer engineering.

This course will cover the essentials of Linear Systems (Laplace and Z‐transforms, stability, impulse response, transfer functions, and state‐space models, in continuous‐time and discrete‐time); Probability (recap. of elementary concepts, linear least squares estimation, law of large numbers, central limit theorem); Optimization (unconstrained optimization, constrained optimization with equality and inequality constraints, and linear programming).

Course Outline

Part I: Linear Systems

  • Laplace and Z transforms
  • Stability, Impulse response, transfer functions
  • State space models: Continuous and discrete time

Part II: Probability Concepts

  • Random Variables and Distribution Functions
  • Multivariate random vectors
  • Mean, variance and expectations
  • Linear least squares estimation
  • Law of large numbers, central limit theorem

Part III: Optimization

  • Methods for Constrained Optimization: Linear programming, Lagrange multipliers, KKT conditions.
  • Methods for Unconstrained Optimization: line search, Steepest Ascent, Newton-Raphson, and DFP.

Grading

The grading scheme is as follows:

  • Assignments: 20%
  • Midterm Exam: 20%
  • Final Exam: 60%

Recommended background

There is no formal pre‐requisite for this course, but a strong foundation in linear algebra and calculus, as they relate to engineering, is expected.

Text

Course notes

References

  • G. James, “Advanced Modern Engineering Mathematics,” 4th edition, Prentice Hall, 2011.
  • G. James, “Modern Engineering Mathematics,” 4th edition, Prentice Hall, 2010.