COURSE UNIT TITLE

: INTRODUCTION TO MATHEMATICAL MODELING

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
END 2418 INTRODUCTION TO MATHEMATICAL MODELING COMPULSORY 3 0 0 5

Offered By

Industrial Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR MUALLA GONCA AVCI

Offered to

Industrial Engineering

Course Objective

The aim of this course is to teach students linear algebra, systems of linear equations, solution approaches for linear equation systems, manufacturing and service systems modeling by linear programming and integer programming.

Learning Outcomes of the Course Unit

1   To be informed about basic concepts of linear algebra
2   To be informed about linear equation systems and solution approaches
3   To be informed about basic concepts of linear programming
4   To be informed about basic concepts of integer programming
5   To be able to develop a suitable mathematical model for an optimization problem

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to mathematical modeling
2 Introduction to linear algebra
3 Matrix operations
4 Linear equation systems and solution approaches
5 Linear independency
6 Inverse of a matrix, determinants
7 Introduction to linear programming
8 Convex sets, extreme points and optimal solution in linear programming
9 Graphical solution of two-variable linear programming problems
10 Closed form representation of mathematical models
11 Examples to linear programming models
12 Introduction to integer programming
13 Basic integer programming problems
14 Piecewise linear functions and logical propositions in integer programming

Recomended or Required Reading

Wayne L. Winston, Operations Research: Applications and Algorithms.

Planned Learning Activities and Teaching Methods

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + ASG * 0.20 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.20 + RST * 0.50


Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 2 28
Preparation for midterm exam 1 12 12
Preparation for final exam 1 12 12
Preparing assignments 1 25 25
Preparing presentations 1 3 3
Final 1 2 2
Midterm 1 1 1
TOTAL WORKLOAD (hours) 125

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.12
LO.22
LO.32
LO.42
LO.533