Information Package

Program of Computer Engineering (English 30%)

BİL490

NUMERICAL METHODS AND OPTIMIZATION

Course Code
BİL490
Semester
-
Theory+Practice
3 + 1
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. Learnconstraint 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 ComponentsNone
Course DescriptionConstrained Optimization. Linear Programming. Lagrange Multipliers. Quadratic Programming. Non-linear Programming. Newton Methods. Conjugate Direction Methods. Linear and Nonlinear Least Squares 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.
15th Week General Repeat.
Recommended or Required Reading1. Fletcher R., Practical Methods of Optimization, 2/E, ISBN: 0471278289, J. Wiley, 2001
2. Bradie A., A Friendly Introduction to Numerical Analysis, 6/E, ISBN-13: 9780130130549, Pearson/Prentice Hall, 2006
3. Aktaş Z., Sayısal Çözümleme, ODTÜ Yayınları, 1991
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
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 1.5 1.5
Preparation for Quiz 3 5 15
Individual or group work
Preparation for Final exam 1 30 30
Course hours 14 4 56
Preparation for Midterm exam 1 25 25
Laboratory (including preparation)
Final exam 1 1.5 1.5
Homework 2 10 20
Quiz 3 0.8 2.4
Total Work Load151.4
Total Work Load / 30 (h)5.04
ECTS Credit of the Course5
Language of InstructionTurkish
Work Placement(s)No
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