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Course Description Course Name : Applications of Remote Sensing and Renewable Energy Sources Course Code : UA-520 Course Type : Optional Level of Course : Second Cycle Year of Study : 1 Course Semester : Spring (16 Weeks) ECTS : 6 Name of Lecturer(s) : Assoc.Prof.Dr. OZAN ŞENKAL Learning Outcomes of the Course : Describe remote sensing and give examples of how they can be applied, use and analyze remote sensing data in various formats Describe the differences between vector and raster data Carry out basic analyses in remote sensing Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : By this course, the students will understand the use of remote sensing. Course Contents : The methods used for renewable energy sources by using remote sensing applications, software, algorithms, and studies to determine strategies to be followed, sample applications. Language of Instruction : Turkish Work Place : Laboratory   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Definitions and History of remote sensing Related subjects in the course text book Lecture, Drill and Practice 2 Basic map information Related subjects in the course text book Lecture, Drill and Practice 3 Data display Related subjects in the course text book Lecture, Drill and Practice 4 Data types: vector and raster Related subjects in the course text book Lecture, Drill and Practice 5 Using remote sensing software Related subjects in the course text book Lecture, Drill and Practice 6 Data Entry to a remote sensing software Related subjects in the course text book Lecture, Drill and Practice 7 Symbology in remote sensing Related subjects in the course text book Lecture, Drill and Practice 8 Mid-term Exams Preparing for the exam and rewieving of the topics Testing, Assignment, Project / Design 9 Query and Report the data in remote sensing 1 Related subjects in the course text book Lecture, Drill and Practice 10 Query and Report the data in remote sensing 2 Related subjects in the course text book Lecture, Drill and Practice 11 Data analysis Related subjects in the course text book Lecture, Drill and Practice 12 Basic mathematical operations Related subjects in the course text book Lecture, Drill and Practice 13 Remote sensing applications Related subjects in the course text book Lecture, Drill and Practice 14 Remote sensing applications Related subjects in the course text book Lecture, Drill and Practice 15 Presentations Related subjects in the course text book Lecture, Drill and Practice 16/17 Final Assessments Preparing for the exam and rewieving of the topics Testing, Assignment, Project / Design   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Powerpoint presentations on the subject prepared 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. 5 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. 5 3 The students generate information using remotely sensed data and GIS together with database management skills. 2 4 The students gain knowledge to use current data and methods for multi-disciplinary research. 4 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. 4 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. 2 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. 2 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. 2 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. 4 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 3 42     Out of Class Study (Preliminary Work, Practice) 14 4 56 Assesment Related Works     Homeworks, Projects, Others 0 0 0     Mid-term Exams (Written, Oral, etc.) 1 20 20     Final Exam 1 25 25 Total Workload: 143 Total Workload / 25 (h): 5.72 ECTS Credit: 6