**Course No**.: ECEM188

**Instructor**: Shahid M Shah

**Credits**:

**Location**: Seminar room, old building ECE department

**Pre-requisites**: Probability theory (UG level), Linear algebra (UG level), most importantly mathematical maturity.

**Syllabus:**

- Motivation and introduction to pattern recognition, Revision of probability theory, revision of some important concepts from Linear algebra.
- Bayes decision theory
- Maximum likelihood estimation and its application to Bayesian estimation
- Non-parametric techniques (K-nearest neighbor, fuzzy classification)

**Books**:

Main book is

- Pattern Classification, Richard O. Duda, Peter E. Hart, David G. Stork (second edition)

- Pattern recognition by Sergios Theodoridis, Konstantinos Koutroumbas

**Home works**