AIM 5113
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Course description
This course introduces students to mathematical techniques useful in an industrial setting.
Topics List
Date  Sections  Topics  Prerequisite Skills  Student Learning Outcomes 

Week 1 

Model Fitting, Basis Functions and Applications of the Inner Product 
 
Week 2 

Model Fitting, Basis Functions and Applications of the Inner Product 
 
Week 3 

Model Fitting, Basis Functions and Applications of the Inner Product 
 
Week 4 

Statistical Reasoning, Distributions 
 
Week 5 

Monte Carlo Method 
 
Week 6 

Introduction to ODEs 
 
Week 7 

Boundary conditions, phase portraits, Finite difference methods. 
 
Week 8 

Frequency domain methods, Laplace transforms 


Week 9 

Control theory 


Week 10 

Introduction to PDEs 
Derivatives 

Week 11 

Signal processing and data acquisition 


Week 12 

Fourier and Laplace transform revisited 


Week 13 

Optimization I 
 
Week 14 

Optimization II 

