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Information
| Code | UA006 |
| Name | Environmental and Ecological Risk Assessment with Information Systems |
| Term | 2024-2025 Academic Year |
| Semester | . Semester |
| 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 | Öğr. Gör. MEHMET AKİF ERDOĞAN |
Course Goal / Objective
It aims to model ecological components within spatial information systems and thus to examine and comprehend the processes for quantitatively estimating of spatial environmental risks.
Course Content
Course content includes from combining spatial-based techniques such as vegetation mapping, anthropogenic impact mapping, change analysis, habitat modelling, topographic analysis, erosion, drought, fire risk and productivity modelling, and multi-component environmental and ecological risk assessment approach.
Course Precondition
none
Resources
Presentation
Notes
Worksheet
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Understanding General Concept of Model and Modelling |
| LO02 | Assimilation of spatial model and modeling concepts |
| LO03 | Understanding of spatial information systems |
| LO04 | Understanding interaction between Spatial Informatics and Environment/Ecology |
| LO05 | Learning Ecological Modelling |
| LO06 | Understanding Concept of Environmental and Ecological Risk |
| LO07 | Understanding Environmental and Ecological Risk Analysis |
| LO08 | Learning Spatial Habitat Modeling |
| LO09 | Perception of Spatial Chance Analysis |
| LO10 | Understanding Spatial Erosion Modelling |
| LO11 | Learning Spatial Drought Modelling |
| LO12 | Understanding Spatial Wild Fire Risk Modelling |
| LO13 | Perception of Spatial Vegetation Productivity Modelling |
| LO14 | Learning Multi-Component Ecological Risk 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 | 4 |
| PLO02 | Bilgi - Kuramsal, Olgusal | The students gain knowledge on remote sensing technologies, sensors and platforms and remotely sensed data | |
| PLO03 | Bilgi - Kuramsal, Olgusal | The students generate information using remotely sensed data and GIS together with database management skills. | |
| 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. | 5 |
| PLO05 | Bilgi - Kuramsal, Olgusal | The students gain knowledge to use current data and methods for multi-disciplinary research | 5 |
| 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. | |
| 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 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | General Concept of Model and Modelling | Literature reading | Öğretim Yöntemleri: Anlatım |
| 2 | Spatial Model and Modelling | Literature reading | Öğretim Yöntemleri: Anlatım |
| 3 | Spatial Information Systems | Literature reading | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 4 | Interaction between Spatial Informatics and Environment/Ecology | Literature reading | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 5 | Ecological Modelling | Literature reading | Öğretim Yöntemleri: Soru-Cevap, Anlatım |
| 6 | Concept of Environmental and Ecological Risk | Literature reading | Öğretim Yöntemleri: Anlatım, Tartışma |
| 7 | Environmental and Ecological Risk Analysis | Literature reading | Öğretim Yöntemleri: Anlatım, Tartışma |
| 8 | Mid-Term Exam | Literature reading | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Spatial Habitat Modeling | Literature reading | Öğretim Yöntemleri: Anlatım, Gösteri, Alıştırma ve Uygulama |
| 10 | Spatial Chance Analysis | Literature reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 11 | Spatial Erosion Modelling | Literature reading | Öğretim Yöntemleri: Anlatım, Gösterip Yaptırma, Alıştırma ve Uygulama |
| 12 | Spatial Drought Modelling | Literature reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 13 | Spatial Wild Fire Risk Modelling | Literature reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 14 | Spatial Vegetation Productivity Modelling | Literature reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 15 | Multi-Component Ecological Risk Analysis | Literature reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 16 | Term Exams | Preparing the exam | Ölçme Yöntemleri: Ödev |
| 17 | Term Exams | Preparing the exam | Ölçme Yöntemleri: Yazılı Sınav |
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 | ||