Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

FACULTY OF ENGINEERING & ARCHITECTURE / PM-210 - LANDSCAPE ARCHITECTURE

Code: PM-210 Course Title: STATISTICS Theoretical+Practice: 2+0 ECTS: 3
Year/Semester of Study 2 / Spring Semester
Level of Course 1st Cycle Degree Programme
Type of Course Compulsory
Department LANDSCAPE ARCHITECTURE
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer MUSA AVNİ AKÇE (akce@nevsehir.edu.tr)
Name of Lecturer(s)
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
The aim of this course is developing the skills of understanding, solving and interpreting statistical problems

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 can learn the concept of statistics and where to use this concept PO-2 Having professional responsibility and ethical values
PO-7 Being able to behave independently and have the ability to use initiative
PO-12 To be able to express ideas and suggestions for solutions by using oral, written and graphical expression techniques
PO-13 Ability to gain life-long learning consciousness
Examination
Performance Project
LO-2 can learn how to evaluate and analyze raw data PO-2 Having professional responsibility and ethical values
PO-7 Being able to behave independently and have the ability to use initiative
PO-12 To be able to express ideas and suggestions for solutions by using oral, written and graphical expression techniques
PO-13 Ability to gain life-long learning consciousness
Examination
Performance Project
LO-3 can learn how to evaluate analysis results PO-2 Having professional responsibility and ethical values
PO-7 Being able to behave independently and have the ability to use initiative
PO-12 To be able to express ideas and suggestions for solutions by using oral, written and graphical expression techniques
PO-13 Ability to gain life-long learning consciousness
Examination
Performance Project
LO-4 can learn to graphically show analysis results PO-2 Having professional responsibility and ethical values
PO-7 Being able to behave independently and have the ability to use initiative
PO-12 To be able to express ideas and suggestions for solutions by using oral, written and graphical expression techniques
PO-13 Ability to gain life-long learning consciousness
Examination
Performance Project
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
To learn data distribution, interpretation, analysis and graphical representation methods. Statistical reasoning, sampling and trial construction, descriptive statistics, probability theory and probability distributions, estimates, mean and mean hypothesis tests for one and two samples, regression and correlation analysis and one way variance analysis.
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Introduction to statistics. Lecture (Distance Education)
2 Basic statistic concepts Lecture, Question and Answer, Discussion (Distance Education)
3 Descriptive statistics. Summarizing and submitting data: frequency tables and graphs Lecture, Question and Answer, Discussion (Distance Education)
4 Identification of data by averages and identification of variability Lecture, Question and Answer, Discussion (Distance Education)
5 The basic scope of probability theory. Probability distributions. Lecture, Question and Answer, Discussion (Distance Education)
6 Discrete distributions: Binomial and Poisson distributions Lecture, Question and Answer, Discussion (Distance Education)
7 Continuous distribution: Normal distribution Lecture, Question and Answer, Discussion (Distance Education)
8 mid-term exam
9 Statistical interpretation: Point and interval estimation Lecture, Question and Answer, Discussion (Distance Education)
10 Statistical hypothesis test. Type I and Type II error. Test power Lecture, Question and Answer, Discussion (Distance Education)
11 Large sample tests: One or two population means or z-tests comparing ratio. Lecture, Question and Answer, Discussion (Distance Education)
12 Small sample tests: One sample, two independent samples and t tests for comparing two related sample averages Lecture, Question and Answer, Discussion (Distance Education)
13 Chi-square tests Lecture, Question and Answer, Discussion (Distance Education)
14 Relations between variables: Linear regression analysis ,Correlation analysis Lecture, Question and Answer, Discussion (Distance Education)
15 Relations between variables: Linear regression analysis ,Correlation analysis Lecture, Question and Answer, Discussion (Distance Education)
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Püskülcü, H., İkiz, F., Eren, Ş. 2006. İstatistiğe Giriş. Barış Yayınları, Fakülteler Kitabevi, İzmir
2 Atıl, H. 1998, İstatistik. E.Ü. Ziraat Fakültesi Yayınları, No.531, Bornova, İzmir.
Required Course instruments and materials
Püskülcü, H., Ikiz, F., Eren, I. 2006. Istatistige Giris. Baris Yayinlari, Fakülteler Kitabevi, Izmir.

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 1 20
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project 1 20
8.Term Paper
9.Project
final exam 2 60

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 2 14 28
Outside Class
       a) Reading 0
       b) Search in internet/Library 0
       c) Performance Project 1 6 6
       d) Prepare a workshop/Presentation/Report 2 6 12
       e) Term paper/Project 2 3 6
Oral Examination 0
Quiz 1 4 4
Laboratory exam 0
Own study for mid-term exam 2 4 8
mid-term exam 1 1 1
Own study for final exam 2 4 8
final exam 2 1 2
0
0
Total work load; 75