PART I

(A) Advanced Matlab Scripting

• Functions and Arguments; Function Returning More than one value; Handling multiple arguments -                                                                  
• Introduction to Classes; Creating, clearing and deleting classes; class methods and attributes.                                                                                    
• Advanced Plotting. Intro. To Latex or Tex Commands; Cell mode in Matlab.                                                                                                 
• Advanced Data Import/Export; Programmatic xlsread/xlswrite Operations. Text File input-output operations. Special files, dat-files.                                  
• Advanced String Handling- Programmatic String synthesis; String conversions, ascii codes;
• Complex Number Analysis                                                                 
• Iterative programming; Introducing more iterative techniques; Introducing Newton-raphson method. Interpolation.                                                              
• Structures and Cell Arrays                                                                 
• Debugging M-files                  

 (B) Advanced Simulink

• Launching Simulink models from M-file; using sim/sim-set               
• Using Simulink Block Call Back functions (Init fcn, Open fcn)         
• Masking and Unmasking Operations                                                  
• Embedded Matlab function Programming                                           
• Intro. to S-functions; Building Level-2 M-file S-functions                  
• Implementing Complex sub-systems models                                      
• Complex Number Analysis                                                                 
• Iterative Programming in Simulink                                                      
• Look-up Tables; Interpolation/Extrapolation in Simulink                             
• Adding your own block libraries (optional)    

PART II
Introduction to Matlab Toolboxes & Blocksets

• Overview of Toolboxes/Toolbox functions; Special focus on Curve-fitting, Symbolic, Statistics Toolbox systems                                                                     
• Integrating Toolbox Functions in M-code
  • Using cftool in curve-fitting and regression analysis
• Using stepwise function in regression analysis
• Using the Symbolic Math Toolbox Set of Functions in Non-linear Analysis and Ordinary Differential Equations                                                           

• Overview of Simulink Blockset libraries; Special focus on Signal       3hrs Processing, Gauges and Sim Events Blockset.
  • Using Simulink Extras Block Library                                         
• Intro. to Stateflow and Model Based Design                              
• Integrating (Mixing) Simulink standard library blocks with the blocksets library blocks                     

PART III
Special Topics

• Advanced Iteraive Techniques (Non-linear Least Square Fitting)
  • Newton-Raphson
• Gauss-Newton
• Levenberg-Marquardt
• Monte-Carlo Techniques                                                                      

• Introduction to Physical modelling (Optional Topics)
  • The SimScape Language                                                            
• Sim power systems                                                                    
• Sim Mechanics                                                                          

• Sim Power Systems
  • Creating single and three-phase systems with passive components
• Creating single and three-phase systems with Electrical machines
• Analysing and controlling Electrical Power Systems
• Modeling Power Electronic components
• AC/DC Analysis; Simulation of Rectifiers Systems
• Speeding up Simulation of electrical models

PART IV
GUI and Object Oriented Programming

• Advanced Object Oriented Programming
  • Creating and Clearing (deleting) classes
• Class Methods and attributes; instantiating classes
• Abstract Classes
• Intro. to Matlab Components                                                                 

• GUI Design and Implementation
  • Creating and instantiating GUI components                               
  • Handling Callbacks                                                                    
  • Creating wizard functionality
  • Deploying your GUI applications (creating stand alone apps)                                                   

PART V
Artificial Intelligence & Artificial Life

• AI Topics
  • Neural Networks (perceptron, feedforwards, radial basis)
• Genetic Algorithms (G.A’s), Ant Colony Optimizers (ACO’s) and Particle Swarm Optimizers (PSO’s)
• Fuzzy Logic (Mamdani and Sugeno Type)
• Simulated Annealing                                                                           

• Genetic Programming (GP) and Automatic Program Generators (APG’s)
• Expert Systems and robotics                                                                         
• Design of Artificial Life Systems

PART VI
Security

• Modeling Crypto-Algorithms                                                                       
• Building Cryptographic Systems (Crypto-systems)                                      
• Modeling Cyber-engineered Control systems (Water-Tank Use Case)