Back

Quantitative methods of Management

 

PİRİ REİS UNIVERSITY

GRADUATE SCHOOL OF SCIENCE AND ENGINEERING

Course Name : Quantitative Methods of Management

Degree: Post-Graduate

 

Code

 

 

Year/Semester

 

Local Credits

 

ECTS Credits

 

Course Implementation, Hours/Week

Course

Tutorial

Laboratory

MTME 504

1/1 (Fall)

NC

0

2

0

0

Department

Maritime Transportation and Management Engineering

Instructors

 

 

Contact Information

 

 

Office Hours

 

Web page

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

Course Type

 Compulsory

Course Language

English

Course Prerequisites

  

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 MTME 504 Quantitative Methods of Management 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 analyze the effects of variation of model parameters in the mathematical model.
  5. 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

1

40

Quiz

 

 

Homework

 

 

Term Paper/Project

 

 

Laboratory Work

 

 

Practices

 

 

Tutorial

 

 

Seminar

 

 

Presentation

 

 

Field Study

 

 

Final Exam

1

60

TOTAL

 

100

Effects of Midterm on Grading, %

 

40

Effects of Final on Grading, %

 

60

TOTAL

 

100

 

ECTS/

WORKLOAD TABLE

Activities

Count

Hours

Total

Workload

Lecture

14

3

42

Midterm

1

30

30

Quiz

 

 

 

Homework

 

 

 

Term Paper/Project

 

 

 

Laboratory Work

 

 

 

Practices

 

 

 

Tutorial

 

 

 

Seminar

 

 

 

Presentation

 

 

 

Field Study

 

 

 

Final Exam

1

50

50

Total Workload

 

 

122

Total Workload/25

 

 

122/25

Course ECTS Credits

 

 

5

 

 

Week

 

Topics

Course Outcomes

1

Introduction

I

2

The mathematical methods of operations research

I, II

3

Formulation of the mathematical problems

I, II

4

Solving the mathematical problems by graphical method

III

5

Solving the mathematical problems by simplex method

III

6

Solving the mathematical problems by simplex method II

III

7

Duality I

III, IV

8

Duality II

III, IV

9

Sensitivity I

III, IV

10

Sensitivity II

III, IV

11

Midterm I

 

12

Introduction the Excel Solver

IV, V

13

Solving the mathematical problems by Excel Solver

IV, V

14

Solving the mathematical problems by Excel Solver and Cplex

IV, V


Relationship between the Programme Outcomes and Level of Contribution

 

 

 

Program Outcomes

Level of Contribution

1

2

3

a

Developing and intensifying knowledge in the related program’s area, based upon the competency in the undergraduate level (sufficient knowledge) (knowledge).

X

 

 

b

Grasping the inter-disciplinary interaction related to one’s area (knowledge).

X

 

 

c

The ability to use the expert-level theoretical and practical knowledge acquired in the area (skill).

 

X

 

d

Interpreting and forming new types of knowledge by combining the knowledge from the area and the knowledge from various other disciplines (skill).

 

X

 

e

Solving the problems faced in the area by making use of the research methods (skill).

 

 

X

f

The ability to carry out a specialistic study related to one’s area independently. (Competence to work independently and take responsibility).

X

 

 

g

Developing new strategic approaches to solve the unforeseen and complex problems arising in the practical processes of one’s area and coming up with solutions while taking responsibility (Competence to work independently and take responsibility).

 

X

 

h

Fulfilling the leader role in the environments where solutions are sought for the problems related to the area (Competence to work independently and take responsibility).

X

 

 

i

Assessing the specialistic knowledge and skill gained through the study with a critical view and directing one’s own learning process (Learning Competence).

 

X

 

j

Systematically transferring the current developments in the area and one’s own work to other groups in and out of the area; in written, oral and visual forms (Communication and Social Competency).

 

X

 

k

Ability to see and develop social relationships and the norms directing these relationships with a critical look and the ability to take action to change these when necessary. (Communication and Social Competency).

X

 

 

l

Ability to use at least one foreign language at the level of European Language Portfolio B2 General Level and gain the ability to communicate in written and oral form, convey one’s own work in international platforms through written, oral and/or visual means. (Communication and Social Competency).

X

 

 

m

Using the computer software together with the information and communication technologies efficiently and according to the needs of the area (Communication and SocialCompetency).

 

X

 

 

         1: Small, 2: Partial, 3: Full

 

Programme Outcomes & Course Outcomes Connectivity Matrix

Course

Outcomes

I

II

III

IV

V

Programme Outcomes

 

a

 

 

 

 

 

b

 

 

 

 

 

c

 

X

 

 

X

d

X

X

 

 

X

e

X

X

X

X

X

f

 

 

 

 

 

g

 

X

X

X

X

h

 

 

X

X

 

i

 

 

 

 

 

j

X

X

X

X

X

k

 

 

 

 

 

l

 

 

 

 

 

m

 

 

 

 

X

 

 

 

 

Prepared by

Assist.Prof.Dr.Emre Çakmak

Date

01.06.2017

Signature