• HOME
• ABOUT US
  • Name Address
  • General Description
  • Governance
  • Academic Calendar
  • Degree Programmes
  • List of Programmes in English
  • General Admission and Registration Procedures
  • Credit Mobility and Recognition of Prior Learning
  • ECTS Credit Allocation
  • Academic Guidance
  • Contacts
• Degree Programmes
  • Third Cycle Programmes (Doctorate Degree)
  • Second Cycle Programmes (Master's Degree)
  • First Cycle Programmes (Bachelor's Degree)
  • Short Cycle Programmes (Associate's Degree)
• GENERAL INFORMATION FOR STUDENTS
  • Cost of Living
  • Accommodation
  • Meals
  • Medical Facilities
  • Facilities for Disabled Students
  • Insurance
  • Financial Supports
  • Student Affairs Office
  • Practical Information for International Students
  • Language Courses
  • Work Placement Possibilities
  • Sports, Social and Cultural Facilities
  • Student Associations and Clubs
  • About İzmir - Turkey
• INTERNATIONAL RELATIONS
  • International Relations Office
  • Registration Procedures
  • Agreements
  • Coordinators
  • Documents
  • List of Programmes in English
  • ECTS / DS Labels

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS SAC 5031 REMOTE SENSING (RS) ELECTIVE 3 0 0 7

Offered By

Geography Teacher Education

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR DOCTOR HASAN ÇUKUR

Offered to

Geography Teacher Education

Course Objective

It can be done them which are needed for their studies and their courses thematic maps and the analysis of to selecting suitable area by means of RS/GIS software, hardware and methods by our students.

Learning Outcomes of the Course Unit

1   To know some concepts about RS 2   To know properties of electromagnetic spectrum 3   To know properties of panchromatic and multi-spectral bands 4   To do geometric and radiometric rectification by means of RS software 5   To do different analysis with multi-spectral band combinations

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Definition and Historical development of Remote Sensing 2 The differences between Classical Geographic studies and Remote Sensing 3 The different projection types and their properties 4 The differences between map and air photography 5 Electromagnetic spectrum 6 Reflection and absorbsion 7 Midterm Exam 8 Passive satellites 9 Active Satellites 10 Geometric, Spectral, Radiometric rectifications 11 Geometric, Spectral, Radiometric rectifications 12 Panchromatic and multispectral data 13 Unsupervised analysis by means of RS software 14 Supervised analysis by means of RS software 15 Final Exam

Recomended or Required Reading

Sesören A., Uzaktan Algılamada Temel Kavramlar Çukur H., Gündüzoğlu G.,Identify of The Vegetation Properties in The Western Anatolia By Landsat Images", 5.th International Conferance on The Geographic Information Systems Çukur H., Coğrafya öğretiminin hedefleri ve Coğrafi Bilgi Sistemleri, Buca Eğitim Fak.Derg. Sayı: 18 Turoğlu H., CBS nin Temel Esasları Yomralıoğlu T., CBS nin Temel Esasları

Planned Learning Activities and Teaching Methods

Lecture, Practices

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTEG MIDTERM GRADE 2 ASG ASSIGNMENT 3 FCG FINAL COURSE GRADE 4 FCG FINAL COURSE GRADE MTEG * 0.30 +ASG* 0.10 + FCG* 0.60 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.30 + ASG * 0.10 + RST * 0.60 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Exam, prepering assignment

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

hasan.cukur@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 13 3 39 Preparation for midterm exam 1 10 10 Preparation for final exam 1 10 10 Preparations before/after weekly lectures 5 10 50 Preparing assignments 4 10 40 Preparing presentations 3 10 30 Final 1 2 2 Midterm 1 2 2 TOTAL WORKLOAD (hours) 183

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 LO.1 4 4 4 LO.2 LO.3 5 5 3 LO.4 5 5 3 LO.5 4 5 3