Information Package

Program of Artificial Intelligence Engineering (English)

AI416

OPTIMIZATION

Course Code
AI416
Semester
-
Theory+Practice
3 + 0
ECTS
5
Course TypeElective Course
Course LevelBachelor's Degree
Year of Study-
Semester-
ECTS5
Name of Lecturer(s) -
Learning Outcomes

At the end of this course, the students;

  1. Learn constraint and unconstraint optimization problems.
  2. Learn linear, non-linear and square programming.
  3. Learn various algorithms and applications.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme Components
Course DescriptionDescription of optimization, Calculation of extremes and parameter optimization, Lagrange multipliers. Manner criteria, Dynamic programming, Calculation of variations calculation and Pontryagin's minimum principle, Dynamic optimization in the face of equivalence and inequality, Hamilton-Jacobi-Bellmann equation, Matrice Riccati equation, optimization of discrete time control systems, Numerical solution methods of optimal control problems.
Course Contents
WEEK TOPICS
1st Week Constrained Optimization.
2nd Week Linear Programming.
3rd Week Lagrange Multipliers.
4th Week Quadratic Programming.
5th Week Non-linear Programming.
6th Week Newton Methods.
7th Week Conjugate Direction Methods.
8th Week Mid-term
9th Week Linear and Nonlinear Least Squares Problems.
10th Week Linear and Nonlinear Least Squares Problems
11th Week Linear and Nonlinear Least Squares Problems
12th Week Linear and Nonlinear Least Squares Problems
13th Week Linear and Nonlinear Least Squares Problems
14th Week Linear and Nonlinear Least Squares Problems
Recommended or Required Reading* Global Methods in Optimal Control Theory, Krotov, Vadim F., Marcel Dekker, Inc., Newyork
Planned Learning Activities and Teaching Methods
  • Lecture
  • Questions/Answers
  • Problem Solving
  • Other
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 30
Assignment 1 15
Quiz 5 15
Total(%) 60
Contribution of In-term Studies to Overall Grade(%) 60
Contribution of Final Examination to Overall Grade(%) 40
Total(%) 100
Language of Instruction-
Work Placement(s)No
LO1 LO2 LO3
K1
K2
K3
K4
K5
K6
K7
K8
K9
K10
K11
K12