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| Unit | INSTITUTE OF NATURAL AND APPLIED SCIENCES |
| REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS (MASTER) (WITH THESIS) | |
| Code | UA001 |
| Name | Basic Principles and Applications of Geographical Information Systems I |
| Term | 2018-2019 Academic Year |
| Term | Fall |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. MEHMET EREN ÖZTEKİN |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
Understanding the usage areas and facilities of Geographic Information Systems
Course Content
Basic disciplines of Geographical Information Systems
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Has knowledge on the use and applications of Remote Sensing in Agriculture |
| LO02 | Has basic knowledge on monitoring and mapping of the soils and vegetation using Remote Sensing |
| LO03 | Developes the understanding of monitoring temporal changes and presents land use |
| LO04 | Has knowledge on the application and principles of GIS |
| LO05 | Establishes the logical build up in GIS and data relationships |
| LO06 | Understands the relationship between remote Sensing and GIS in Agriculture |
| LO07 | Developes principle data analysis |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | At the end of the programme, the students acquire advanced knowledge on remote sensing and GIS theory | 3 |
| PLO02 | Bilgi - Kuramsal, Olgusal | The students gain knowledge on remote sensing technologies, sensors and platforms and remotely sensed data | 3 |
| PLO03 | Bilgi - Kuramsal, Olgusal | The students generate information using remotely sensed data and GIS together with database management skills. | 3 |
| PLO04 | Bilgi - Kuramsal, Olgusal | The students develop the necessary skills for selecting and using appropriate techniques and tools for engineering practices, using information technologies effectively, and collecting, analysing and interpreting data. | |
| PLO05 | Bilgi - Kuramsal, Olgusal | The students gain knowledge to use current data and methods for multi-disciplinary research | |
| PLO06 | Bilgi - Kuramsal, Olgusal | The students gain technical competence and skills in using recent GIS and remote sensing software | |
| PLO07 | Bilgi - Kuramsal, Olgusal | The students acquire knowledge on potential practical fields of use of remotely sensed data, and use their theoretical and practical knowledge for problem solution in the related professional disciplines. | |
| PLO08 | Yetkinlikler - Öğrenme Yetkinliği | Students will be able to calculate and interpret physical and atmospheric variables by processing the satellite data. | |
| PLO09 | Yetkinlikler - Öğrenme Yetkinliği | Students can generate data for GIS projects using Remote Sensing techniques. | 3 |
| PLO10 | Bilgi - Kuramsal, Olgusal | Gains the ability to analyze and interpret geographic data with GIS techniques | 4 |
| PLO11 | Bilgi - Kuramsal, Olgusal | Gains the ability of problem solving, solving, solution oriented application development | |
| PLO12 | Yetkinlikler - Öğrenme Yetkinliği | Acquires the ability to acquire, evaluate, record and apply information from satellite data | 2 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Applications Of Remote Sensing in different dicipline | Lecturing | |
| 2 | Sensors and their properties. | Lecturing and practice | |
| 3 | Reflactance and elektro magnetic spectrum | Lecturing and practice | |
| 4 | Reflectance characteristics of soils and vegetation | Lecturing and practice | |
| 5 | Image Processing and geometric and radiometric correction and image enhancement | Lecturing and practice | |
| 6 | Image Classification supervised and unsupervised | Lecturing and practice | |
| 7 | Image interpretation and accuracy assesment, case studies | Lecturing and practice | |
| 8 | Mid-Term Exam | ||
| 9 | GIS and application areas | Lecturing and practice | |
| 10 | Projection metods, Geo-referancing and coordinate systems | Lecturing and practice | |
| 11 | Geographic correction and components and system elements of GIS | Lecturing and practice | |
| 12 | Raster and vector data | Lecturing and practice | |
| 13 | Classification of data , topology and data sources | Lecturing and practice | |
| 14 | Data collection, storage and database structures, geographic analysis | Lecturing and practice | |
| 15 | Case studies from agricultural and environmental applications. | Lecturing and practice | |
| 16 | Term Exams | ||
| 17 | Term Exams |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||