Nevşehir Hacı Bektaş Veli University Course Catalogue
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| Year/Semester of Study | 1 / Fall Semester | ||||
| Level of Course | 2nd Cycle Degree Programme | ||||
| Type of Course | Optional | ||||
| Department | ENVIRONMENTAL ENGINEERING (DOCTORATE DEGREE) | ||||
| Pre-requisities and Co-requisites | None | ||||
| Mode of Delivery | Face to Face | ||||
| Teaching Period | 14 Weeks | ||||
| Name of Lecturer | MUHAMMED CÜNEYT BAĞDATLI (mcbagdatli@nevsehir.edu.tr) | ||||
| Name of Lecturer(s) | MUHAMMED CÜNEYT BAĞDATLI, | ||||
| Language of Instruction | Turkish | ||||
| Work Placement(s) | None | ||||
| Objectives of the Course | |||||
| To teach the basic principles of Digital Image, to make algebraic and geometric applications about Digital Image and to teach its applications in environmental pollution analysis by teaching Image enrichment and classification | |||||
| Learning Outcomes | PO | MME | |
| The students who succeeded in this course: | |||
| LO-1 |
PO-1 Acquired advanced knowledge in the field of doctoral-level original research and develop the level of expertise and access to the field with innovative results PO-2 Which are obtained with the use of interdisciplinary work and new assessments to reveal the original results PO-3 To have advanced level of knowledge of land application practices, and it is necessary to use an interdisciplinary PO-4 In a systematic way to evaluate the level of expertise in the field of information and to apply |
Term Paper |
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| PO: Programme Outcomes MME:Method of measurement & Evaluation |
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| Course Contents | ||
| Digital images and properties, Raster and Vector Data, Image enhancement, educated and uneducated classifications. Package program applications | ||
| Weekly Course Content | ||
| Week | Subject | Learning Activities and Teaching Methods |
| 1 | Introduction to Digital Image Processing and Basic Definitions | Distance Education |
| 2 | Digitize Image, histogram | Distance Education |
| 3 | Spectral, temporal, radiometric, spatial resolutions, multi-band images | Distance Education |
| 4 | Image enhancement | Distance Education |
| 5 | Algebraic operations in image processing | Distance Education |
| 6 | Geometric operations in image processing | Distance Education |
| 7 | Image corrections | Distance Education |
| 8 | mid-term exam | |
| 9 | Filtering in image processing | Distance Education |
| 10 | Untrained Classification | Distance Education |
| 11 | Education Classification | Distance Education |
| 12 | Major components analysis | Distance Education |
| 13 | Image processing software applications | Distance Education |
| 14 | Image processing software applications | Distance Education |
| 15 | Environmental pollution analysis applications with image processing methods | Distance Education |
| 16 | final exam | |
| Recommend Course Book / Supplementary Book/Reading | ||
| 1 | An Introduction to Digital Image Processing, Wayne Niblack, Printice Hall International,1986 | |
| Required Course instruments and materials | ||
| Computer | ||
| Assessment Methods | |||
| Type of Assessment | Week | Hours | Weight(%) |
| mid-term exam | 7 | 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 | 14 | 2 | 60 |
| Student Work Load | |||
| Type of Work | Weekly Hours | Number of Weeks | Work Load |
| Weekly Course Hours (Theoretical+Practice) | 3 | 14 | 42 |
| Outside Class | |||
| a) Reading | 3 | 14 | 42 |
| b) Search in internet/Library | 3 | 14 | 42 |
| c) Performance Project | 4 | 2 | 8 |
| d) Prepare a workshop/Presentation/Report | 4 | 3 | 12 |
| e) Term paper/Project | 0 | ||
| Oral Examination | 0 | ||
| Quiz | 0 | ||
| Laboratory exam | 0 | ||
| Own study for mid-term exam | 4 | 2 | 8 |
| mid-term exam | 1 | 1 | 1 |
| Own study for final exam | 4 | 2 | 8 |
| final exam | 2 | 1 | 2 |
| 0 | |||
| 0 | |||
| Total work load; | 165 | ||