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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
ISLE 302QUANTITATIVE METHODS - II3 + 06th Semester5

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 Transportation and assignment models, network analysis, project management tecnhiques, game theory and their applications in business life
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Learns the basic concepts related to Quantitative Methods (Operations Research) II subjects.
2Learns to solve transportation and assignment problems with unique methods in a shorter time and with less calculations.
3Can express and analyze with networks problems related to the best ordering of tasks, planning of resources and scheduling of projects to achieve a specific goal.
4Learns to make decisions by looking at different perspectives.
5Gains analytical thinking and problem solving skills.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11
LO 0013114 255   
LO 0021515 3551 3
LO 0031515 355   
LO 0041515 355   
LO 0051515 155  3
Sub Total721524 1225251 6
Contribution14150255001

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)14456
Mid-terms11515
Final examination11717
Total Work Load

ECTS Credit of the Course






130

5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2023-2024 Spring2AYŞEGÜL TUŞ
Details 2022-2023 Spring2AYŞEGÜL TUŞ
Details 2021-2022 Summer1NİLSEN KUNDAKCI
Details 2021-2022 Spring3NİLSEN KUNDAKCI
Details 2020-2021 Summer1NİLSEN KUNDAKCI
Details 2020-2021 Spring3NİLSEN KUNDAKCI
Details 2020-2021 Spring4NİLSEN KUNDAKCI
Details 2019-2020 Spring3AYŞEGÜL TUŞ
Details 2019-2020 Spring4ESRA AYTAÇ ADALI
Details 2018-2019 Spring3NİLSEN KUNDAKCI
Details 2018-2019 Spring4AYŞEGÜL TUŞ
Details 2017-2018 Spring3ESRA AYTAÇ ADALI
Details 2017-2018 Spring4AYŞEGÜL TUŞ
Details 2016-2017 Spring3ESRA AYTAÇ ADALI
Details 2016-2017 Spring4AYŞEGÜL TUŞ
Details 2015-2016 Spring3ESRA AYTAÇ ADALI
Details 2015-2016 Spring4NİLSEN KUNDAKCI
Details 2014-2015 Summer1AYŞEGÜL TUŞ
Details 2014-2015 Summer1AYŞEGÜL TUŞ
Details 2014-2015 Spring3ARZU ORGAN
Details 2014-2015 Spring4AYŞEGÜL TUŞ
Details 2013-2014 Spring5ESRA AYTAÇ ADALI
Details 2013-2014 Spring6ESRA AYTAÇ ADALI
Details 2013-2014 Spring7ARZU ORGAN
Details 2013-2014 Spring8ARZU ORGAN
Details 2012-2013 Summer1ARZU ORGAN
Details 2012-2013 Summer1ARZU ORGAN
Details 2012-2013 Summer1ARZU ORGAN
Details 2012-2013 Spring3ARZU ORGAN
Details 2012-2013 Spring4ARZU ORGAN
Details 2011-2012 Summer1ARZU ORGAN
Details 2011-2012 Spring3ARZU ORGAN
Details 2010-2011 Summer1ARZU ORGAN
Details 2010-2011 Spring1ARZU ORGAN
Details 2010-2011 Spring2ARZU ORGAN
Details 2009-2010 Summer1ARZU ORGAN
Details 2009-2010 Spring3ARZU ORGAN
Details 2009-2010 Spring4ARZU ORGAN


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
ISLE 302 QUANTITATIVE METHODS - II 3 + 0 2 Turkish 2023-2024 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Assoc. Prof. Dr. AYŞEGÜL TUŞ atus@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 Transportation and assignment models, network analysis, project management tecnhiques, game theory and their applications in business life
Topics
WeeksTopics
1 Introduction to Transportation Models
2 Transportation Models Initial Solution Methods (North-West Corner Method)
3 Transportation Models Initial Solution Methods (Minimum Row or Column Method, Minimum Cost Method)
4 Transportation Models Initial Solution Methods (Vogel Approximation Method, VAM)
5 Transportation Methods (Finding the Optimal Solution - Stepping Stone Method)
6 Transportation Methods (Finding the Optimal Solution - MODI Method)
7 Assignmnet Models (for maximization problems)
8 Assignmnet Models (for minimization problems)
9 Introduction to Network Analysis
10 Project Management Techniques
11 Project Management Techniques (CPM)
12 Project Management Techniques (PERT)
13 Game Theory (with saddle points)
14 Game Theory (without saddle points)
Materials
Materials are not specified.
Resources
ResourcesResources Language
Öztürk, A. (2012). Yöneylem Araştırması, Ekin Yayınevi, Bursa.Türkçe
Winston, W. L. (2004). Operations research: Applications and Algorithm. Thomson Learning, Inc.Türkçe
Taha, H.A. (1997). Operations Research; Prentice-Hall: Englewood Cliffs, NJ, USA.Türkçe
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