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Course Description Course Name : Special Studies Course Code : YLUA-200 Course Type : Compulsory Level of Course : Second Cycle Year of Study : 1 Course Semester : Spring (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. comprehend the content and scope of a research. gain awareness of scientific language and terminology as well as the ethics of scientific 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 Reading and discussion of the literature in the field of expertise. Search for information from the internet, books and magazines. Reading, presentation and discussion. 2 Reading and discussion of the literature in the field of expertise. Search for information from the internet, books and magazines. Reading, presentation and discussion. 3 Reading and discussion of the literature in the field of expertise. Search for information from the internet, books and magazines. Reading, presentation and discussion. 4 Reading and discussion of the literature in the field of expertise. Search for information from the internet, books and magazines. Reading, presentation and discussion. 5 Reading and discussion of the literature in the field of expertise. Getting information about the current work. Participate in the proceedings. 6 Reading and discussion of the literature in the field of expertise. Getting information about the current work. Participate in the proceedings. 7 Reading and discussion of the literature in the field of expertise. Search for information from the internet, books and magazines. Reading, presentation and discussion. 8 Presenting midterm report Search for information from the internet, books and magazines. Reading, presentation and discussion. 9 Participation activities in the field of expertise. Search for information from the internet, books and magazines. Reading, presentation and discussion. 10 Participation activities in the field of expertise. Search for information from the internet, books and magazines. Reading, presentation and discussion. 11 Reading and discussion of the literature in the field of expertise. Search for information from the internet, books and magazines. Reading, presentation and discussion. 12 Reading and discussion of the literature in the field of expertise. Search for information from the internet, books and magazines. Reading, presentation and discussion. 13 Reading and discussion of the literature in the field of expertise. Search for information from the internet, books and magazines. Reading, presentation and discussion. 14 Evaluation of results and report making. Search for information from the internet, books and magazines. Reading, presentation and discussion. 15 Reporting the results Search for information from the internet, books and magazines. Reading, presentation and discussion. 16/17 Final exam Work with notes on literature reviews and studies. Reading, presentation and discussion.   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. 5 * 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