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  Course Description
Course Name : Special Studies

Course Code : YLUA-203

Course Type : Compulsory

Level of Course : Sub-Level (Undergraduate Degree)

Year of Study : 2

Course Semester : Fall (16 Weeks)

ECTS : 6

Name of Lecturer(s) : Prof.Dr. SÜHA BERBEROĞLU
Asst.Prof.Dr. BÜLENT MITIŞ
Prof.Dr. VEDAT PEŞTEMALCI
Asst.Prof.Dr. NURİ EMRAHOĞLU
Assoc.Prof.Dr. OZAN ŞENKAL

Learning Outcomes of the Course : At the end of the course, the students gain in-depth understanding on how to conduct scientific research.
understand the content and scope of a research.
gain the necessary background to increase knowledge and develop methods in the field of remote sensing and GIS, and gain problem-solving skills required to integrate information from different disciplines.

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : none

Aim(s) of Course : To provide students with theoretical and practical knowledge and skills required in the field of remote sensing, GIS, and the necessary skills to conduct research in the particular field of study.

Course Contents : Reviewing the literature, developments and ongoing research related to the thesis.

Language of Instruction : Turkish

Work Place : Lecture room and laboratory


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Selection and examination of books and articles related to the field of study Reading and compiling literature Discussion and editing the results.
2 Selection and examination of books and articles related to the field of study Reading and compiling literature Discussion and editing the results.
3 Selection and examination of books and articles related to the field of study Reading and compiling literature Discussion and editing the results.
4 Selection and examination of books and articles related to the field of study Reading and compiling literature Discussion and editing the results.
5 Laboratory work Reading and compiling literature Discussion and editing the results.
6 Laboratory work Reading and compiling literature Discussion and editing the results.
7 Laboratory work Reading and compiling literature Discussion and editing the results.
8 midterm exam reporting evaluation
9 Laboratory work Reading and compiling literature Discussion and editing the results.
10 Reading and compiling literature Reading and compiling literature Discussion and editing the results.
11 Reading and compiling literature Reading and compiling literature Discussion and editing the results.
12 Reading and compiling literature Reading and complying literature Discussion and editing the results.
13 Reading and compiling literature Reading and compiling literature Discussion and editing the results
14 Reading and compiling literature Reading and compiling literature Discussion and editing the results
15 Reading and compiling literature Reading and compiling literature Discussion and editing the results
16/17 Final exam reporting evaluation


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  Library search
Required Course Material(s)


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 100
    Homeworks/Projects/Others 0 0
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  Contribution of the Course to Key Learning Outcomes
# Key Learning Outcome Contribution*
1 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. 3
2 The students identify, describe, formulate and solve problems in engineering, and for this purpose, they are able to select appropriate techniques and apply analytical methods and models. 4
3 The students generate information using remotely sensed data and GIS together with database management skills. 3
4 The students gain knowledge to use current data and methods for multi-disciplinary research. 5
5 The students gain technical competence and skills in using recent GIS and remote sensing software. 4
6 The students have basic information about data collection, management, and analysis through integrating GIS and remote sensing, and are able to solve engineering problems using modern tools and technologies. 5
7 The students develop an understanding of sustainable resource management and planning to meet human needs by taking ecological factors into consideration in light of the current research data. 3
8 The students acquire the necessary knowledge and skills to understand a system, a system component or process for planning purposes, using modern techniques and methods. 5
9 At the end of the programme, the students acquire advanced knowledge on remote sensing and GIS theory. 5
10 The students gain knowledge on remote sensing technologies, sensors and platforms and remotely sensed data. 2
11 The students gain knowledge on temporal, radiometrici, spatial and spectral characteristics of remotely sensed data, as well as optic and active remote sensing systems and their interpretation. 3
12 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. 3
13 The students gain the necessary skills to access information, review the literature, use databases and other sources of information, as well as lifelong learning awareness and the skills to follow scientific and technological developments for personal improvement. 4
* Contribution levels are between 0 (not) and 5 (maximum).

  Student Workload - ECTS
Works Number Time (Hour) Total Workload (Hour)
Course Related Works
    Class Time (Exam weeks are excluded) 14 5 70
    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 5 5
    Final Exam 1 5 5
Total Workload: 150
Total Workload / 25 (h): 6
ECTS Credit: 6