Numerical Analysis and Decision Making Techniques

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

.

Course Contents

Error analysis, solutions of linear and nonlinear equations, curve fitting, interpolation, extrapolation, matrix operations, solving ordinary and partial differential equations, curve fitting, numerical derivative, numerical integral, basic modeling knowledge; standard deviation and variance, expected value, regression, correlation, decision analysis, AHP, ANP, Topsis Electre, SAW et al. selected multi-criteria decision, decision making techniques

Weekly Schedule

1) Error Analysis
2) Solution Methods of Linear Set of Equations
3) Solution Methods of Nonlinear Equations
4) statistics and basic concepts
5) parametric and non parametric tests
6) regression analysis
7) Midterm
8) decision theory
9) multiple criteria decision making
10) decission tree
11) AHP
12) TOPSIS
13) ELECTRE
14) PROMETHE
15) Apps
16) final exam

Recommended or Required Reading

Planned Learning Activities and Teaching Methods

1) Lecture
2) Question-Answer
3) Discussion
4) Drill and Practice
5) Demonstration
6) Modelling
7) Brain Storming
8) Case Study
9) Self Study
10) Problem Solving
11) Project Based Learning

Assessment Methods and Criteria

Contribution of Semester Studies to Course Grade	50%
Number Percentage Semester Studies Midterm Examination 1 50% Quiz 1 25% Presentation/Seminar 1 25%
Contribution of Final Examination to Course Grade	50%
Total	100%

Language of Instruction

Turkish

Work Placement(s)

Not Required