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	4	3	4	5	3	2	3	5	2	2	2
LO 002	3	5	3	5	2	3	4	5	2	2	2
LO 003	3	5	3	5	3	3	4	5	3	2	2
LO 004	3	5	3	5	2	3	4	5	4	2	3
LO 005	3	5	4	5	2	3	5	5	4	2	3
Sub Total	16	23	17	25	12	14	20	25	15	10	12
Contribution	3	5	3	5	2	3	4	5	3	2	2

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	15	15
Final examination	1	17	17
Total Work Load ECTS Credit of the Course			130 5

COURSE DETAILS

Select Year

	Course Term	No	Instructors
Details	2023-2024 Fall	1	AYŞEGÜL TUŞ

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
ISLE 301	QUANTITATIVE METHODS - I	3 + 0	1	Turkish	2023-2024 Fall

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Assoc. Prof. Dr. AYŞEGÜL TUŞ	atus@pau.edu.tr		İİBF C0305	%80

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 Operations Research
2	Decision Problems and Model Building
3	Linear Programming Model
4	Examples Related with Application Areas of Linear Programming Model
5	The Graphical Solution of Two-Variable Linear Programming Problems
6	Simplex Solution Method
7	Simplex Method for Maximization Problems
8	Simplex Method for Minimization Problems
9	Simplex Solution Method Application Types
10	Simplex Solution Method Application Types (continued)
11	Duality, Finding the Dual of Linear Programming Models
12	Solving Dual Problems with Simplex Method and Economical Explanation
13	Sensitivity Analysis - Determining the Effect of Change in Objective Function Coefficient
14	Sensitivity Analysis - Determination of the Variation Range of Right Side Constants

Materials

Materials are not specified.

Resources

Resources	Resources Language
Öztürk, A. (2012), Yöneylem Araştırması, Ekin Yayınevi, Bursa.	Türkçe
Winston, W.L. (2004), Operations Research: Applications and Algorithms, Fourth Edition.	English
Taha, H.A. (2011), Operations Research, An Introduction, Ninth Edition, Pearson.	English
Render, B., Stair, R. M. and Hanna, M. E., Quantitative Analysis for Management, Eleventh Edition, Global Edition.	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