Nevşehir Hacı Bektaş Veli University Course Catalogue
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| 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-5 Ability to acquire, analyze, evaluate and interpret data related to natural and cultural landscapes PO-8 Ability to use information technologies and information systems related to Landscape Architecture; ability to collect and analyze the necessary information for determined issues and problems 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 Practice Exam |
| LO-2 | can learn how to evaluate and analyze raw data |
PO-5 Ability to acquire, analyze, evaluate and interpret data related to natural and cultural landscapes PO-8 Ability to use information technologies and information systems related to Landscape Architecture; ability to collect and analyze the necessary information for determined issues and problems 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 Practice Exam |
| LO-3 | can learn how to evaluate analysis results |
PO-5 Ability to acquire, analyze, evaluate and interpret data related to natural and cultural landscapes PO-8 Ability to use information technologies and information systems related to Landscape Architecture; ability to collect and analyze the necessary information for determined issues and problems 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 Practice Exam |
| LO-4 | can learn to graphically show analysis results |
PO-5 Ability to acquire, analyze, evaluate and interpret data related to natural and cultural landscapes PO-8 Ability to use information technologies and information systems related to Landscape Architecture; ability to collect and analyze the necessary information for determined issues and problems 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 Practice Exam |
| PO: Programme Outcomes MME:Method of measurement & Evaluation |
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| 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 |
| 2 | Basic statistic concepts | Lecture |
| 3 | Descriptive statistics. Summarizing and submitting data: frequency tables and graphs | Lecture, Practice |
| 4 | Identification of data by averages and identification of variability | Lecture, Practice |
| 5 | The basic scope of probability theory. Probability distributions. | Lecture, Practice |
| 6 | Discrete distributions: Binomial and Poisson distributions | Lecture, Practice |
| 7 | Continuous distribution: Normal distribution | Lecture, Practice |
| 8 | mid-term exam | |
| 9 | Statistical interpretation: Point and interval estimation | Lecture, Practice |
| 10 | Statistical hypothesis test. Type I and Type II error. Test power | Lecture, Practice |
| 11 | Large sample tests: One or two population means or z-tests comparing ratio. | Lecture, Practice |
| 12 | Small sample tests: One sample, two independent samples and t tests for comparing two related sample averages | Lecture, Practice |
| 13 | Chi-square tests | Lecture, Practice |
| 14 | Relations between variables: Linear regression analysis, Correlation analysis | Lecture, Practice |
| 15 | Relations between variables: Linear regression analysis, Correlation analysis | Lecture, Practice |
| 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 | 40 | |
| Other assessment methods | |||
| 1.Oral Examination | |||
| 2.Quiz | |||
| 3.Laboratory exam | |||
| 4.Presentation | |||
| 5.Report | |||
| 6.Workshop | |||
| 7.Performance Project | |||
| 8.Term Paper | |||
| 9.Project | |||
| final exam | 1 | 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 | 1 | 12 | 12 |
| b) Search in internet/Library | 2 | 10 | 20 |
| c) Performance Project | 0 | ||
| d) Prepare a workshop/Presentation/Report | 0 | ||
| e) Term paper/Project | 0 | ||
| Oral Examination | 0 | ||
| Quiz | 0 | ||
| Laboratory exam | 0 | ||
| Own study for mid-term exam | 2 | 7 | 14 |
| mid-term exam | 1 | 1 | 1 |
| Own study for final exam | 2 | 7 | 14 |
| final exam | 1 | 1 | 1 |
| 0 | |||
| 0 | |||
| Total work load; | 90 | ||