PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
ISLE 301	QUANTITATIVE METHODS - I	3 + 0	5th Semester	5

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Compulsory
Course Objective	The aim of this course is to increase students' numerical thinking ability and to enable students to present business-related problems numerically step by step. For this purpose, numerical examples and models are used as the main tools to demonstrate the basic ideas of the methods.
Course Content	Decision problem, model building, linear programming model and solution methods, duality and sensitivity analysis and business applications related to these issues
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	Learns the structure of decision making and decision problems.
2	Learns to model decision problems
3	Learns the assumptions of the linear programming model, its application areas, and solution methods.
4	Analyzes the effects and consequences of changes in the model.
5	Gains analytical thinking and problem solving skills.

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07	PO 08	PO 09	PO 10	PO 11
LO 001	3	1	1	4		2	5	5
LO 002	1	5	1	5		3	5	5	1		3
LO 003	1	5	1	5		3	5	5
LO 004	1	5	1	5		3	5	5
LO 005	1	5	1	5		1	5	5			3
Sub Total	7	21	5	24		12	25	25	1		6
Contribution	1	4	1	5	0	2	5	5	0	0	1

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	14	4	56
Mid-terms	1	12	12
Final examination	1	20	20
Total Work Load ECTS Credit of the Course			130 5

COURSE DETAILS

Select Year

	Course Term	No	Instructors
Details	2023-2024 Fall	2	GÜLİN ZEYNEP ÖZTAŞ

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
ISLE 301	QUANTITATIVE METHODS - I	3 + 0	2	English	2023-2024 Fall

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Asts. Prof. Dr. GÜLİN ZEYNEP ÖZTAŞ	gzeynepa@pau.edu.tr		İİBF C0105	%70

Goals		The aim of this course is to increase students' numerical thinking ability and to enable students to present business-related problems numerically step by step. For this purpose, numerical examples and models are used as the main tools to demonstrate the basic ideas of the methods.
Content		Decision problem, model building, linear programming model and solution methods, duality and sensitivity analysis and business applications related to these issues

Topics

Weeks	Topics
1	Introduction to Linear Programming
2	History of Linear Programming Basic Concepts and Applications of Linear Programming
3	Construction of the linear programming model
4	Construction of the linear programming model
5	Graphical solution of Linear Programming Problems
6	Graphical solution of Linear Programming Problems
7	The Simplex Algorithm
8	Midterm exam
9	The Simplex Algorithm
10	Special Cases in Simplex Method Application
11	Special Cases in Simplex Method Application
12	Duality
13	Sensitivity Analysis
14	Sensitivity Analysis

Materials

Materials are not specified.

Resources

Resources	Resources Language
Frederick S. Hillier and Gerald J. Lieberman, Introduction to Operations Research, Ninth Edition, McGraw-Hill, 2010.	English
Bernard W. Taylor III, Introduction to Management Science, 11th Edition, Pearson, 2013.	English
Barry Render, Ralph M. Stair and Michael E. Hanna, Quantitative Analysis for Management, 12/E, Pearson Higher Education, 2015.	English

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	60	Final Exam
Midterm Exam	40	Midterm Exam

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student