OPERATIONAL RESEARCH II

Course Code
07.16Ε
ECTS Credits
6
Semester
6th Semester
Course Category
Course Description
GENERAL
TEACHING METHODS: TEACHING HOURS (WEEKLY)

Lectures

Tutorial

 

2

1
COURSE TYPE: Specific Background
COURSE PREREQUISITES: OPERATIONAL RESEARCH I
TEACHING LANGUAGE: Greek
THE COURSE IS OFFERED TO ERASMUS STUDENTS: Yes (English language - by arrangement with the professor)
LEARNIING RESULTS
Course Description and Learning Objectives

Upon successful completion of the course, students are expected to have:

Knowledge: The objective of this course is to provide a comprehensive knowledge and understanding of the methods of operations research on problems of business organization and management.

Skills: They will be able to solve various problems faced by modern enterprises that are related to the scientific field of business research.

Competences: To use mathematical/computational tools and techniques to solve problems related to operations research.
Competencies

The course aims to :

- Search, analysis and synthesis of data and information, using the necessary technologies

- Decision making

- Autonomous work

- Group work

- Promotion of free, creative and deductive thinking
CONTENT

The Business Research course is a quantitative course that aims to introduce students to the concept of research in business and more specifically to problems related to the management and coordination of operations in an organization.

The course is organized in two academic semesters in the form of the courses 'Business Research I' and 'Business Research II'.

Course content 'Operational Research II':

Causal dynamic programming

Inventory modelling and supply chains

Review of basic probability theory

Decision analysis and games

Probabilistic stock models

Markov chains

Waiting queueing systems

Modelling by simulation

Classical optimization theory

Non-linear programming algorithms

Non-linear programming algorithms

Non-linear programming algorithms

Non-linear programming algorithms
TEACHING and LEARNING METHODS - EVALUATION
TEACHING METHOD

- Lectures in class

- Solving tutorial exercises

Uploading material for further study and solving exercises on the e-class platform
USE OF INFORMATION AND COMMUNICATION TECHNOLOGIES Support for the learning process through the e-class platform
METHODS OF INSTRUCTION
Method Semester workload
Lectures 39

Tutorial – exercises in class

Independent solution of exercises

36

58
Independent study

92

 
Total workload in hours 225
STUDENT LEARNING ASSESMENT

The evaluation will be conducted in Greek in three distinct ways:

Written final examination including:

- Three main types of test.

- Comparative evaluation of theory elements

- Problem solving
RECOMMENDED-BIBLIOGRAPHY

1. Taha A. Hamdy , Introduction to Operations Research, 10th Edition, ISBN: 978-960-418-691-4, Editions A. TZIOLA & YIOI S.A. 2017.

2. Hillier Frederick S., Lieberman Gerald J., Introduction to Operations Research, 10th Edition, ISBN: 978-960-418-604-4, Editions A. TZIOLA & YIOI S.A. 2017.

David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Kipp Martin, Management Science, QUANTITATIVE METHODS FOR BUSINESS DECISION MAKING, ISBN: 978-960-218-932-0, CRITIKI S.A. Publications, 2014.

Taylor Bernard III, Introduction to Management Science, ISBN: 9789963274451, BROKEN HILL PUBLISHERS LTD, 2017.

5.Pantelis Ypsilantis, Business Research, Methods and techniques of decision making, 5th edition, ISBN: 978-618-5036-20-1, PROPOMPOS Publications, KIMERIS K. THOMAS, 2015.