COURSE INFORMATION Course Title: OPERATIONS RESEARCH

Code	Course Type	Regular Semester	Theory	Practice	Lab	Credits	ECTS
BUS 324	B	6	4	0	0	4	6

Academic staff member responsible for the design of the course syllabus (name, surname, academic title/scientific degree, email address and signature)	Dr. Esmir Demaj edemaj@epoka.edu.al
Main Course Lecturer (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	Dr. Nurul Retno Nurwulan nnurwulan@epoka.edu.al , Tuesday, 13:30-16:00
Second Course Lecturer(s) (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	NA
Language:	English
Compulsory/Elective:	Compulsory
Study program: (the study for which this course is offered)	Bachelor in Economics (3 years)
Classroom and Meeting Time:	E312 Monday 13:45-15:30, E312 Friday 13:45-13:30
Teaching Assistant(s) and Office Hours:	NA
Code of Ethics:	Code of Ethics of EPOKA University Regulation of EPOKA University "On Student Discipline"
Attendance Requirement:	75%
Course Description:	To familiarize the students with the basic concepts and principles of operations research and to improve the analytical thinking and modeling abilities of the students on quantitative management problems. The course includes topics such as systems, models and modeling approaches, decision analysis, certainty, risk and uncertainty conditions, linear programming, sensitivity analysis and transportation and assignment problems
Course Objectives:	To familiarize the students with the basic concepts and principles of operations management and to improve the analytical thinking and modeling abilities of the students on quantitative management problems. The course includes topics such as systems, models and modeling approaches, decision analysis, certainty, risk and uncertainty conditions, linear programming, sensitivity analysis and transportation and assignment problems

BASIC CONCEPTS OF THE COURSE

1	Linear Programming
2	Simplex Method
3	Duality Theory
4	Sensitivity Analysis
5	Transportation Problem
6	Assignment Problem
7	Network Problem

COURSE OUTLINE

Week	Topics
1	Course Overview and Introduction to Operations Research --- Chapter 1-2. Origins of Operations Research, Nature of Operations Research, Relationship between Analytics and Operations Research, Impact of Operations Research, Defining the Problem, Gathering and Organizing Relevant Data, Using Descriptive Analytics to Analyze Data, Using Predictive Analytics to Analyze Data, Formulating Mathematical Model, Testing the Model, Preparing to Apply Model. Page 1-31.
2	Introduction to Linear Programming --- Chapter 3. Prototype Example, The Linear Programing Model, Assumptions of Linear Programming, Additional Examples, Formulating and Solving Linear Programming Models on a Spreadsheet, Formulating Large Linear Programming Models, Exercises. Page 32-78.
3	Introduction to Linear Programming --- Chapter 3. Prototype Example, The Linear Programing Model, Assumptions of Linear Programming, Additional Examples, Formulating and Solving Linear Programming Models on a Spreadsheet, Formulating Large Linear Programming Models, Exercises. Page 32-78.
4	Simplex Method --- Chapter 4 (continue). Reformulating the Non-Standard Models, the Big M method to help the reformulated models, the Two-Phase Method as an Alternative for Big M, Postoptimality Analysis. Page 91-193.
5	Simplex Method --- Chapter 4 (continue). Reformulating the Non-Standard Models, the Big M method to help the reformulated models, the Two-Phase Method as an Alternative for Big M, Postoptimality Analysis. Page 91-193.
6	Duality and Sensitivity Analysis --- Chapter 6-7. The Essence of Duality Theory, Primal-Dual Relationship, Adapting to Other Primal Forms, The Role of Duality Theory in Sensitivity Analysis, Exercises. Page 200-282.
7	Duality and Sensitivity Analysis --- Chapter 6-7 (continue). The Essence of Sensitivity Analysis, Applying Sensitivity Analysis, Performing Sensitivity Analysis, Robust Optimization, Chance Constraints, Exercises. Page 200-282.
8	Review + Quiz
9	Midterm Exam
10	The Transportation and Assignment Problems --- Chapter 9. The Transportation Problem, Streamlined Simplex Method for the Transportation Problem, The Assignment Problem, Special Algorithm for the Assignment Problem. Exercises. Page 312-359.
11	The Transportation and Assignment Problems --- Chapter 9. The Transportation Problem, Streamlined Simplex Method for the Transportation Problem, The Assignment Problem, Special Algorithm for the Assignment Problem. Exercises. Page 312-359.
12	Network Optimization Models --- Chapter 10. (continue). Prototype Example, Terminology of Networks, Shortest-Path Problem, Minimum Spanning Tree Problem, Maximum Flow Problem, Minimum Flow Problem, Network Simplex Method, Network Model for Optimizing a Project's Time-Cost Trade-Off, Exercises. Page 360-424.
13	Network Optimization Models --- Chapter 10. (continue). Prototype Example, Terminology of Networks, Shortest-Path Problem, Minimum Spanning Tree Problem, Maximum Flow Problem, Minimum Flow Problem, Network Simplex Method, Network Model for Optimizing a Project's Time-Cost Trade-Off, Exercises. Page 360-424.
14	Final Exam Review

Prerequisite(s):	NA
Textbook(s):	Hillier, F.S. and Lieberman, G.J.,(2020), Introduction to Operations Research, McGraw-Hill, USA.
Additional Literature:
Laboratory Work:	NA
Computer Usage:	NA
Others:	No

COURSE LEARNING OUTCOMES

1	Students will gain knowledge about Model Formulation
2	Students will gain knowledge about Optimization and Linear Programming
3	Students will be able to solve real business problems through Linear Programming Models
4	Students will gain knowledge on how to solve real life problems by Simplex Method
5	Students will gain knowledge about Duality Theory and Sensitivity Analysis
6	Students will gain knowledge about Transportation Problems and how to solve them
7	Students will gain knowledge about Network Problems and Project Management.

COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES (Blank : no contribution, 1: least contribution ... 5: highest contribution)

No	Program Competencies	Cont.
Bachelor in Economics (3 years) Program
1	Students define the fundamental problems of economics	4
2	Students describe key economic theories	3
3	Students critically discuss current developments in economics	4
4	Students appropriately use software for data analysis	4
5	Students critically contextualize the selection of an economic problem for research within scholarly literature and theory on the topic	4
6	Students apply appropriate analytical methods to address economic problems	5
7	Students use effective communication skills in a variety of academic and professional contexts	4
8	Students effectively contribute to group work	5
9	Students conduct independent research under academic supervision	4
10	Students uphold ethical values in data collection, interpretation, and dissemination	5
11	Students critically engage with interdisciplinary innovations in social sciences	5
12	Student explain how their research has a broader social benefit	5

COURSE EVALUATION METHOD

Method	Quantity	Percentage
Midterm Exam(s)	1	40
Quiz	1	10
Final Exam	1	40
Other	1	10
	Total Percent:	100%

ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)

Activities	Quantity	Duration(Hours)	Total Workload(Hours)
Course Duration (Including the exam week: 16x Total course hours)	16	4	64
Hours for off-the-classroom study (Pre-study, practice)	16	4	64
Mid-terms	1	10	10
Assignments			0
Final examination	1	10	10
Other	1	2	2
Total Work Load:			150
Total Work Load/25(h):			6
ECTS Credit of the Course:			6

CONCLUDING REMARKS BY THE COURSE LECTURER

Students must own up to their actions. If you do not study, do not beg or threaten lecturer to pass you. Any kind of attempt to threaten lecturer will not change your grades.