COURSE INFORMATION Course Title: OPERATIONS RESEARCH

Code	Course Type	Regular Semester	Theory	Practice	Lab	Credits	ECTS
BUS 324	C	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)	NA
Lecturer (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	Esmir Demaj , Tuesday, 11:30-14:30
Second Lecturer(s) (name, surname, academic title/scientific degree, email address and signature) and Office Hours:	NA
Teaching Assistant(s) and Office Hours:	NA
Language:	English
Compulsory/Elective:	Elective
Classroom and Meeting Time:	Tuesday, E-313, 14:30-17:15
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 students with the basic concepts and principles of operations research and to improve analytical thinking and modeling abilities of students on quantitative management problems. The course includes topics such as modeling approaches, decision analysis, linear programming, sensitivity analysis and transportation, assignment problems, and project management issues.

COURSE OUTLINE

Week	Topics
1	Course Overview and Operations Research
2	Introduction to Linear Programming
3	Linear Programming Problems
4	Linear Programming, Spreadsheet Solution
5	Simplex Method
6	Simplex Method in Tabular Form
7	Transportation Problem
8	Midterm Exam
9	Queuing Problem + Simulation
10	Project Management I
11	Project Management II
12	Inventory Management Models
13	Decision Analysis
14	Final Exam

Prerequisite(s):
Textbook:	Hillier, F.S. and Lieberman, G.J.,(2015), Introduction to Operatins Research, McGraw-Hill, USA.
Other References:
Laboratory Work:
Computer Usage:
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 Transportation Problems and how to solve them
6	Students will gain knowledge about 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	2
2	Students describe key economic theories	1
3	Students critically discuss current developments in economics	3
4	Students appropriately use software for data analysis	3
5	Students critically contextualize the selection of an economic problem for research within scholarly literature and theory on the topic	3
6	Students apply appropriate analytical methods to address economic problems	4
7	Students use effective communication skills in a variety of academic and professional contexts	3
8	Students effectively contribute to group work	3
9	Students conduct independent research under academic supervision	2
10	Students uphold ethical values in data collection, interpretation, and dissemination	5
11	Students critically engage with interdisciplinary innovations in social sciences	3
12	Student explain how their research has a broader social benefit	4

COURSE EVALUATION METHOD

Method	Quantity	Percentage
Homework	1	20
Midterm Exam(s)	1	20
Project	1	10
Quiz	1	10
Final Exam	1	40
	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	3	48
Hours for off-the-classroom study (Pre-study, practice)	16	3	48
Mid-terms	1	12	12
Assignments			0
Final examination	1	17	17
Other	5	5	25
Total Work Load:			150
Total Work Load/25(h):			6
ECTS Credit of the Course:			6