Print

COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
SBP 520QUANTITATIVE METHODS IN PLANNING AND COMPUTER PRACTICES3 + 01st Semester7,5

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Elective
Course Objective To redound implementation ability of quantitative methods in planning at the high level of iteration and to improve their quantitative evaluation abilities.
Course Content Projection methods, population calculations, linear methods, logaritmic methods. Utility-cost analyses and economic evaluations. Gravity models and single and double constraint gravity models. Hansen and Lowry-Garin Models and their implementation.  Sensitivity analyses and calibration techniques. Basic VBA implementations and examples. Shortest path algorithms. 
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1To realize quantitative methods in planning and to have implementation ability
2To realize computer practices and to learn basic commands in coding

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09
LO 001    5  5 
LO 002    5  5 
Sub Total    10  10 
Contribution000050050

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)1315195
Total Work Load

ECTS Credit of the Course






195

7,5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2022-2023 Spring1GÖRKEM GÜLHAN
Details 2019-2020 Fall1GÖRKEM GÜLHAN
Details 2018-2019 Fall1GÖRKEM GÜLHAN
Details 2017-2018 Spring1GÖRKEM GÜLHAN
Details 2017-2018 Fall1GÖRKEM GÜLHAN
Details 2016-2017 Spring1GÖRKEM GÜLHAN
Details 2016-2017 Fall1GÖRKEM GÜLHAN
Details 2014-2015 Spring1GÖRKEM GÜLHAN


Print

Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
SBP 520 QUANTITATIVE METHODS IN PLANNING AND COMPUTER PRACTICES 3 + 0 1 Turkish 2022-2023 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Assoc. Prof. Dr. GÖRKEM GÜLHAN ggulhan@pau.edu.tr KKM A0201-02 %70
Goals To redound implementation ability of quantitative methods in planning at the high level of iteration and to improve their quantitative evaluation abilities.
Content Projection methods, population calculations, linear methods, logaritmic methods. Utility-cost analyses and economic evaluations. Gravity models and single and double constraint gravity models. Hansen and Lowry-Garin Models and their implementation.  Sensitivity analyses and calibration techniques. Basic VBA implementations and examples. Shortest path algorithms. 
Topics
WeeksTopics
1 .
2 .
3 .
4 .
5 .
6 .
7 .
8 .
9 .
10 .
11 .
12 .
13 .
14 .
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