COURSE INFORMATION Course Title: ADVANCED QUANTITATIVE METHODS FOR MANAGEMENT SCIENCE RESEARCH

Code	Course Type	Regular Semester	Theory	Practice	Lab	Credits	ECTS
BUS 808	B	2	3	0	0	3	10

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:	Alba Kruja , Monday 13:30-15:30
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:	Compulsory
Classroom and Meeting Time:	E 312 Wednesday 18:00-20:45
Course Description:	This course is designed to expose students to an intense guided tour of several managerial research questions and of the corresponding tools made available by the management sciences to address them. Use of simulations, data mining, and forecasting methods is applied by researchers to formulate and solve complex managerial problems.
Course Objectives:	This course is designed to expose students to an intense guided tour of several managerial research questions and of the corresponding tools made available by the management sciences to address them. It is the science of making better decisions and it involves applying the methods and tools of science to management and decision making.

COURSE OUTLINE

Week	Topics
1	Introduction to Scientific Modelling
2	Probability Concepts and Applications
3	Decision Analysis
4	Regression Models
5	Forecasting
6	Inventory Control Models
7	Linear Programming Models: Graphical and Computer Methods
8	Transportation and Assignment Models
9	Integer Programming, Goal Programming, and Nonlinear Programming
10	Network Models
11	Waiting Lines and Queuing Theory Models
12	Project Management
13	Project Presentation
14	Project Presentation

Prerequisite(s):
Textbook:	Ragsdale, C. T., Spreadsheet Modelling & Decision Analysis, Thomson South-Western Render, B., Stair, R.M., and Hanna, M.E., Quantitative Analysis for Management, Pearson 11th edition
Other References:
Laboratory Work:
Computer Usage:
Others:	No

COURSE LEARNING OUTCOMES

1	Achieving an advanced knowledge on several managerial research questions and the corresponding tools to address them.
2	Achieving advanced knowledge on formulating and solving complex managerial problems.
3	Achieving specialized skills and techniques on decision analysis.
4	Achieving specialized skills and techniques on use of forecasting methods.
5	Achieving specialized skills on use Inventory Control Models.
6	Achieving specialized skills on use of Regression Models.
7	Acquiring advanced model building and model interrogation skills.
8	Achieving specialized skills on use of Transportation and Assignment Models.
9	Acquiring advanced model building on Waiting Lines and Queuing Theory Models

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

No	Program Competencies	Cont.
Doctorate (PhD) in Business Administration Program
1	The students are expected to gain the skills of understanding, analyzing, explaining and using the fundamental concepts of Business Administration.	5
2	Skills of understanding the requirements for designing a business unit or environment.	5
3	They gain knowledge about management and organization.	5
4	They gain knowledge about marketing and production.	3
5	They gain knowledge about accounting and finance.	2
6	They learn how to benefit from mathematical and statistical methods used in business management.	5
7	Learning the communication skills by acquiring the professional terminology of business administration.	5
8	Learning and adopting the ethical, social and legal (laws and regulations) responsibilities needed in the field of business administration and management.	2
9	Ability to effectively use technological devices (IT systems) and modern techniques in managing a business environment successfully.	5
10	Gain the theoretical knowledge of both classical and modern theories necessary to manage a business.	4
11	Acquiring an open minded-attitude through continuous learning and practice and participation.	5

COURSE EVALUATION METHOD

Method	Quantity	Percentage
Project	1	100
	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	5	80
Mid-terms			0
Assignments			0
Final examination			0
Other	1	122	122
Total Work Load:			250
Total Work Load/25(h):			10
ECTS Credit of the Course:			10