1. THIRD CYCLE - DOCTORATE DEGREE
  2. THE GRADUATE SCHOOL OF SOCIAL SCIENCES
  3. BUSINESS MANAGEMENT DEPARTMENT
  4. 2741 BUSINESS ADMINISTRATION PhD
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
Print

COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
ISY 660NETWORK OPTIMIZATION3 + 02nd Semester7,5

COURSE DESCRIPTION
Course Level Doctorate Degree
Course Type Elective
Course Objective The aim of this course is to introduce the network, network optimization and network optimization methods and develop solutions to complex business problems with network optimization models.
Course Content Network, Network Optimization, Minimum Spanning Tree Problem, Shortest Path Problem, Maximum Flow Problem, Transportation Models, Transportation Algorithm, Transfer and Assignment Models, Minimum Cost Flow Problem, Traveling Salesman Problem, CPM-PERT.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Introduce network and network optimization concepts
2Introduce network optimization models and solution methods.
3Develop solutions to complex and multidimensional business problems by using the introduced methods

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07
LO 001       
LO 002       
LO 003       
Sub Total       
Contribution0000000

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
Assignments14342
Mid-terms11010
Final examination11515
Report / Project21530
Total Work Load

ECTS Credit of the Course





195

7,5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2021-2022 Spring1AYŞEGÜL TUŞ
Details 2018-2019 Spring1AYŞEGÜL TUŞ


Print

Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
ISY 660 NETWORK OPTIMIZATION 3 + 0 1 Turkish 2021-2022 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Assoc. Prof. Dr. AYŞEGÜL TUŞ atus@pau.edu.tr İİBF B0009 %
Goals The aim of this course is to introduce the network, network optimization and network optimization methods and develop solutions to complex business problems with network optimization models.
Content Network, Network Optimization, Minimum Spanning Tree Problem, Shortest Path Problem, Maximum Flow Problem, Transportation Models, Transportation Algorithm, Transfer and Assignment Models, Minimum Cost Flow Problem, Traveling Salesman Problem, CPM-PERT.
Topics
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes