1. FIRST CYCLE - BACHELOR'S DEGREE
  2. FACULTY OF ECONOMICS & ADMINISTRATIVE SCIENCES
  3. ECONOMETRICS DEPARTMENT
  4. 211 ECONOMETRICS
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
ISLE 301QUANTITATIVE METHODS - I3 + 07th Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
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
1Learns the structure of decision making and decision problems.
2Learns to model decision problems
3Learns the assumptions of the linear programming model, its application areas, and solution methods.
4Analyzes the effects and consequences of changes in the model.
5Gains analytical thinking and problem solving skills.

COURSE'S CONTRIBUTION TO PROGRAM
Data not found.

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14342
Mid-terms12323
Final examination12323
Total Work Load

ECTS Credit of the Course





130

5
COURSE DETAILS
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 Course TermNoInstructors
Details 2021-2022 Summer1NİLSEN KUNDAKCI


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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 2021-2022 Summer
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Assoc. Prof. Dr. NİLSEN KUNDAKCI nilsenk@pau.edu.tr İİBF C0206 %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
WeeksTopics
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
ResourcesResources Language
Ahmet Öztürk, Yöneylem Araştırması, Ekin Yayınevi, 2012Türkçe
Ahmet Öztürk, Yöneylem Araştırması, Ekin Yayınevi, 2012Türkçe
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam60Final Exam
Midterm Exam40Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes