1. FIRST CYCLE - BACHELOR'S DEGREE
  2. FACULTY OF ARCHITECTURE AND DESIGN
  3. LANDSCAPE ARCHİTECTURE DEPARTMENT
  4. 655 LANDSCAPE ARCHITECTURE
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
PEM 311STATISTICS3 + 05th Semester4

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective To teach basic statistics and probability
Course Content Introduction to statistics, Basic contents, Data Distribution, Interpretation, Analysis and Learning Graphical Representation Methods, Probability.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Statistics and probability knowledge
2Analytical thinking ability
3To learn how to evaluate and analyze raw data
4Learn how to evaluate analysis results
5Learning to graphically show analysis results

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08
LO 001       5
LO 002     5 5
LO 003     5 5
LO 004       5
LO 005       5
Sub Total     10 25
Contribution00000205

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-terms11010
Final examination11010
Total Work Load

ECTS Credit of the Course





104

4
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2020-2021 Fall1EDA YALÇIN KAYACAN


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
PEM 311 STATISTICS 3 + 0 1 Turkish 2020-2021 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Assoc. Prof. Dr. EDA YALÇIN KAYACAN eyalcin@pau.edu.tr KKM A0202-06 %70
Goals To teach basic statistics and probability
Content Introduction to statistics, Basic contents, Data Distribution, Interpretation, Analysis and Learning Graphical Representation Methods, Probability.
Topics
WeeksTopics
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Materials
Materials are not specified.
Resources
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