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Yöneylem Araştırması

 

Course Name : Operational Research

Degree: Bachelor

 

Code

 

 

Year/Semester

 

Local Credits

 

ECTS Credits

 

Course Implementation, Hours/Week

Course

Tutorial

Laboratory

IND331

3/5

2.5

4

2

1

-

Department

Maritime Transporation and Management Engineering

Instructors

 

Assist. Prof. Dr. Emre CAKMAK

Contact Information

 

e-mail: ecakmak@pirireis.edu.tr

Office Hours

Tuesday 13:30-17:00

Web page

http://www.pirireis.edu.tr/pruonline/www/index.php

Course Type

 Compulsory

Course Language

English

Course Prerequisites

  

Course Category by Content, %

Basic Sciences

Engineering Science

Engineering Design

Humanities

20

50

20

10

Course Description

Introduction / The mathematical methods of operations research / Formulation of the mathematical problems / Solving the mathematical problems by graphical method and Simplex / Duality /Sensitivity / Introduction the Excel Solver / Solving the mathematical problems by Excel Solver and Cplex

 

Course Objectives

 

This course aims to understand basic quantitative techniques concepts and mathematical modeling, formulate the mathematical model, apply linear programming method to the real life problems and apply the simplex method the linear programming problems. At the end of the course, students will have a fair understanding of the role quantitative techniques in logistics.

 

Course Learning Outcomes

 

By students who passed from IND 331 Operational Research successfully

Students will

  1. Have knowledge about basic quantitative techniques
  2. Able to develop mathematical model
  3. Able to solve mathematical models with graphical and simplex models.
  4. Able to solve some mathematical models by using the computer programs

Instructional Methods and Techniques

The presentation of theoretical and practical techniques

Tutorial Place

-

Co-term Condition

-

Textbook

Taha, H. A. (2007). Operations Research: An Introduction (ed. 9). Pearson/Prentice Hall.

Other References

Lecture Notes

Homework & Projects

 

Laboratory Work

Some problems are prepared, modelled, solved and reported on computer

Computer Use

Some problems are prepared, modelled and reported on MS Excel

Other Activities

Using MS Excel

                   

 

 

Assessment Criteria

Activities

Quantity

Effects on Grading, %

Attendance

 

 

Midterm

2

30

Quiz

 

 

Homework

2

20

Term Paper/Project

 

 

Laboratory Work

 

 

Practices

 

 

Tutorial

 

 

Seminar

 

 

Presentation

 

 

Field Study

 

 

Final Exam

1

50

TOTAL

 

100

Effects of Midterm on Grading, %

 

50

Effects of Final on Grading, %

 

50

TOTAL

 

100

 

 

 

ECTS/

WORKLOAD TABLE

Activities

Count

Hours

Total

Workload

Lecture

12

2

24

Midterm

2

15

30

Quiz

 

 

 

Homework

2

10

20

Term Paper/Project

 

 

 

Laboratory Work

 

 

 

Practices

12

1

12

Tutorial

 

 

 

Seminar

 

 

 

Presentation

 

 

 

Field Study

 

 

 

Final Exam

1

24

26

Total Workload

 

 

112

Total Workload/25

 

 

112/25

Course ECTS Credits

 

 

4

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Week

 

Topics

Course Outcomes

1

Introduction

 

2

The mathematical methods of operations research

 

3

Formulation of the mathematical problems

 

4

Formulation of the mathematical problems-Examples

 

5

Solving the mathematical problems by graphical method

 

6

Solving the mathematical problems by simplex method

 

7

Solving the mathematical problems by simplex method II

 

8

Midterm I

 

9

Introduction the Excel Solver

 

10

Solving the mathematical problems by Excel Solver

 

11

Solving the mathematical problems by Excel Solver and Cplex

 

12

Midterm II

 

13

Integer Programming I

 

14

Integer Programming II

 

 

 

Relationship between the Course and Programme Curriculum

 

 

 

Program Outcomes

Level of Contribution

1

2

3

a

An ability to apply knowledge of mathematics, science, and engineering

 

 

X

b

An  ability to design and conduct experiments, as well as to analyze and interpret data

 

 

X

c

An ability to design a system, component or process to meet desired needs

 

 

X

d

Ability to function on multi-disciplinary teams

 

 

X

e

An ability to identify, formulate, and solve engineering problems

 

 

X

f

An understanding of professional and ethical responsibility

 

X

 

g

An ability to communicate effectively

X

 

 

h

The broad education necessary to understand the impact of engineering solutions in a global and societal context

 

 

X

i

A recognition of the need for, and an ability to engage in life-long learning

 

 

X

j

A knowledge of contemporary issues

 

 

X

k

An ability to use the techniques, skills and modern engineering tools necessary for engineering practice

 

 

X

l

An ability to apply legal, societal and environmental knowledge in maritime transport and in all respective modes of transport operations.

 

X

 

 

         1: Small, 2: Partial, 3: Full

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Programme Outcomes & Course Outcomes Connectivity Matrix

Course

Outcomes

I

II

III

IV

V

Programme Outcomes

 

a

X

X

X

X

X

b

X

X

X

 

X

c

 

 

 

3 X

X

d

 

 

 

 

 

e

X

X

X

X

X

f

X

X

X

 

 

g

 

 

 

 

 

h

 

 

 

 

X 2

i

 

X

X

 

 

j

 

X

X

 

 

k

X

X

X

X

X

l

X

X

X

X

X