Print

COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
SBP 253QUANTITATIVE METHODS IN PLANNING3 + 04th Semester4

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Compulsory
Course Objective Improving ability of mathematical analyse, modelling and algoritm set up
Course Content Projection methods, analyse technics of labour and economical activiy, cost-utility analsye, linear programming, game theory, land use models, gravity models.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Improving power of mathematical expression
2To redound interdisciplinary communication abilities at accessing the target.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09
LO 001    5 44 
LO 002    5 44 
Sub Total    10 88 
Contribution000050440

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)14228
Mid-terms11717
Final examination11717
Total Work Load

ECTS Credit of the Course






104

4
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2023-2024 Spring1GÖRKEM GÜLHAN
Details 2022-2023 Spring1GÖRKEM GÜLHAN
Details 2021-2022 Spring1GÖRKEM GÜLHAN
Details 2020-2021 Spring1GÖRKEM GÜLHAN
Details 2019-2020 Spring1GÖRKEM GÜLHAN
Details 2018-2019 Spring1GÖRKEM GÜLHAN
Details 2017-2018 Spring1GÖRKEM GÜLHAN
Details 2016-2017 Spring1GÖRKEM GÜLHAN
Details 2015-2016 Spring1GÖRKEM GÜLHAN


Print

Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
SBP 253 QUANTITATIVE METHODS IN PLANNING 3 + 0 1 Turkish 2023-2024 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Assoc. Prof. Dr. GÖRKEM GÜLHAN ggulhan@pau.edu.tr KKM A0303-04 %70
Goals Improving ability of mathematical analyse, modelling and algoritm set up
Content Projection methods, analyse technics of labour and economical activiy, cost-utility analsye, linear programming, game theory, land use models, gravity models.
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 Exam30Midterm Exam
Homework20Homework
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes