Course NO    : EM502
Course Title  : Optimization
Credits          : 3
Prerequisite  : None


Course Content Time Allocated
L T P A
  Single Variable Optimization Algorithms
  • Bracketing methods
  • Region elimination methods
  • Gradient based methods
5 1  3  
  Multivariable Optimization Algorithms
  • Direct search methods
  • Gradient based methods
 10 2  6  
  Constrained Optimization Algorithms     
  • Transformation methods
  • Direct search
  • Linearized search
10 2  6  
  Non- Conventional Optimization Algorithms     
  • Genetic algorithms
  • Simulated annealing
  • Global optimization
 5 1  3  
  Total = 30 + 6 + 0.5*18 = 45 30 6  18  



 
Assessment Percentage Mark
Continuous Assessment   30
Assignments/ Lab
 20  
Tutorials  10   
Written Examinations   70
Mid-Semester  20
 
End of Semester 50  

Notation Used :
L - Lectures
T - Tutorials
P - Practical works
A - Assignments
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