Nevşehir Hacı Bektaş Veli University Course Catalogue
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| Year/Semester of Study | 2 / Fall Semester | ||||
| Level of Course | 1st Cycle Degree Programme | ||||
| Type of Course | Compulsory | ||||
| Department | ENVIRONMENTAL ENGINEERING | ||||
| Pre-requisities and Co-requisites | None | ||||
| Mode of Delivery | Face to Face | ||||
| Teaching Period | 14 Weeks | ||||
| Name of Lecturer | AYLİN ALKAYA (aylin@nevsehir.edu.tr) | ||||
| Name of Lecturer(s) | |||||
| Language of Instruction | Turkish | ||||
| Work Placement(s) | None | ||||
| Objectives of the Course | |||||
| Test sample design, analysis of the results of laboratory, teaching of subjects. | |||||
| Learning Outcomes | PO | MME | |
| The students who succeeded in this course: | |||
| LO-1 |
PO-1 In mathematics, science and engineering fields related to environmental engineering to have these fields in use for the solution of theoretical and practical knowledge of engineering, PO-2 Environmental Science and Environmental Technology on the engineering problems to identify, formulate, and solve engineering problems, for this purpose, select and apply appropriate analytical methods and modeling techniques, PO-3 The modern techniques and tools necessary for engineering practice to select and use skills, ability to use information technology effectively, PO-5 Modeling programs related to environmental engineering and information technology skills to use, |
Term Paper |
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| LO-2 |
PO-6 Individual and team work, ability to take responsibility,
PO-7 Making research, the ability to use information resources, |
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| PO: Programme Outcomes MME:Method of measurement & Evaluation |
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| Course Contents | ||
| Basic information about statistical methods and environmental engineering applications. | ||
| Weekly Course Content | ||
| Week | Subject | Learning Activities and Teaching Methods |
| 1 | Random variable. | Face to face Education |
| 2 | Frequency analysis and descriptive statistics | Face to face Education |
| 3 | Arithmetic mean, weighted (Weighted) arithmetic mean, harmonic mean, geometric mean. | Face to face Education |
| 4 | Median, mode, distribution criteria. | Face to face Education |
| 5 | Probability | Face to face Education |
| 6 | Random variables | Face to face Education |
| 7 | Random variables | Face to face Education |
| 8 | mid-term exam | |
| 9 | Probability distribution | Face to face Education |
| 10 | Confidence intervals | Face to face Education |
| 11 | Hypothesis Tests | Face to face Education |
| 12 | Hypothesis Tests | Face to face Education |
| 13 | Variance Analysis | Face to face Education |
| 14 | Chi-square Analysis | Face to face Education |
| 15 | Regression Analysis | Face to face Education |
| 16 | final exam | |
| Recommend Course Book / Supplementary Book/Reading | ||
| 1 | Olasılık ve İstatistiğe Giriş, Nuri Ersoy ve Semra Oral Erbaş, Gazi Büro Kitabevi, Ankara, 1996. | |
| 2 | Mustafa Aytaş. Matematiksel İstatsitik. Ezgi Kitabevi | |
| Required Course instruments and materials | ||
| Computer | ||
| Assessment Methods | |||
| Type of Assessment | Week | Hours | Weight(%) |
| mid-term exam | 8 | 2 | 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 | 16 | 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 | 2 | 14 | 28 |
| b) Search in internet/Library | 1 | 14 | 14 |
| 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 | 2 | 1 | 2 |
| Own study for final exam | 2 | 14 | 28 |
| final exam | 2 | 1 | 2 |
| 0 | |||
| 0 | |||
| Total work load; | 116 | ||