INFORMATION TECHNOLOGIES (ENGLISH, NON-THESIS)
Master	TR-NQF-HE: Level 7	QF-EHEA: Second Cycle	EQF-LLL: Level 7

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
INE5111	Mathematical Programming and Modelling	Fall	3	0	3	8

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Departmental Elective
Course Level:
Mode of Delivery:	Face to face
Course Coordinator :
Course Lecturer(s):	Assoc. Prof. SEROL BULKAN Assist. Prof. YÜCEL BATU SALMAN
Recommended Optional Program Components:	N.A.
Course Objectives:	This course aims to introduce students modeling of linear and integer programs, network flow problems and nonlinear programs; to use the simplex algorithm for solving liner programming problems, branch&bound for solving integer programming problems and some solution algorithms for network flow problems; to understand important modeling techniques and solution algorithms; to get insights about graph theory and its applications; and to identify the types of problems and their solution algorithms.

Learning Outcomes

The students who have succeeded in this course;
I. Formulate large-scale problems as an LP, IP or NLP.
II. Identify the type of problems such as linear, integer and nonlinear problems.
III. Analyze the algorithms such as simplex and branch and bound.
IV. Formulate network flow problems and to solve using specially structured algorithms.

Course Content

This course emphasizes modeling of problems as linear programs, mixed integer linear programs, nonlinear programs and network flow programs. In the second half of the course some basic solution algorithms such as simplex and branch and bound, and some network flow programming algorithms are covered.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Linear programming models I
2)	Linear programming models II
3)	Graphical solution approach and Introduction to Simplex Algorithm
4)	Simplex Algorithm
5)	Integer programming models I
6)	Integer programming models II
7)	Branch and Bound Algorithm
8)	Midterm 1
9)	Nonlinear programming models
10)	Network flow programming models I
11)	Network flow programming models II
12)	Network flow algorithms I
13)	Network flow algorithms II
14)	Midterm II

Sources

Course Notes / Textbooks:	N.A.
References:	Various reference books will be available at the library.

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	4	% 20
Midterms	2	% 40
Final	1	% 40
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	12	3	36
Study Hours Out of Class	3	25	75
Homework Assignments	4	18	72
Midterms	2	3	6
Final	1	3	3
Total Workload			192

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Uses basic Software Engineering knowledge and competencies.
2)	Applies the software development ability that is necessary for software engineering applications.
3)	Uses data structures and applies information about algorithm development.
4)	Develops system programs on operating systems.
5)	Defines computer organization, design and architectures.
6)	Creates the structure of computer networks and network security.
7)	Uses business intelligence, data mining and data analysis tools, applies techniques about them.
8)	Develops database applications and WEB based programs.
9)	Defines, analyzes, designs and manages information technologies projects.
10)	Uses and develops technology-based environments and tools in education.
11)	Detects, identifies and solves information technology needs of the business environment.
12)	Uses the capabilities of information technologies within the rules of professional responsibility and ethics.