OPERATIONS RESEARCH II

END315

Course Code: END315
Semester: Fifth Term (Fall)
Theory+Practice: 3 + 1
ECTS: 6

Course Type

Compulsory Course

Course Level

Bachelor's Degree

Year of Study

Semester

Fifth Term (Fall)

ECTS

Name of Lecturer(s)

Learning Outcomes

At the end of this course, the students;

Understand the basic concepts and principles of the nonlinear programming, integer programming and the dinamic programming
are able to understand the conditions of local and global optima in the nonlinear programming
are able to understand the optimality conditions of the solution in the integer programming models.
can model the problems in the dinamic programming framework
can generate the recursive functions in dinamic programming
have the ability to solve and interpret the results of nonlinear models with single and multi variables, integer decision models and dinamic programming models

Mode of Delivery

Face to face

Prerequisites

Yes(END208)

Recommended Optional Programme Components

None

Course Description

Nonlinear decision models, local and global optima, convexity and quadratic forms. Analytic and numerical solutions of single and multi-variable nonlinear models. Integer programming, branch and bound method. Dynamic programming. Decision making under risk and uncertainty. Game theory.

Course Contents

WEEK	TOPICS
1^st Week	Project Management: PERT
2^nd Week	Project Management: CPM
3^rd Week	Integer Programming
4^th Week	Integer Programming Models and Examples
5^th Week	Branch and Bound Algorithm
6^th Week	Nonlinear Models and Examples
7^th Week	Convexity, Concavity and Quadratic Forms
8^th Week	Midterm
9^th Week	Analytic and Numerical Solutions to the Single Variable Nonlinear Model
10^th Week	Nonlinear Models with Several Variables
11^th Week	Multi-Stage Decision Models
12^th Week	Dynamic Programming and Examples
13^th Week	Decision Making under Risk and Uncertainty
14^th Week	Decision Making with Multiple Objective

Recommended or Required Reading

Kara, İ. (1986) Doğrusal Olmayan Modeller, Anadolu Üniversitesi Basımevi;
Winston, W.L. (1994) Operations Research: Applications and Algorithms, Duxbury Press;
Taha, H.A. (1997) Operations Research: An Introduction.

Planned Learning Activities and Teaching Methods

Lecture
Practice
Presentation

Assessment Methods and Criteria

	Quantity	Percentage (%)
Mid-term	1	35
Quiz	5	20
Practice	1	5
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
Preparation for Quiz
Individual or group work
Preparation for Final exam
Course hours
Preparation for Midterm exam
Laboratory (including preparation)
Final exam
Homework
Total Work Load			0
Total Work Load / 30 (h)			0
ECTS Credit of the Course			6

Language of Instruction

English

Work Placement(s)

Programme Qualifications / Learning Outcomes

	LO1	LO2	LO3	LO4	LO5	LO6
K1	X
K2		X	X	X
K3		X	X
K4					X
K5						X
K6
K7
K8
K9
K10
K11