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Course Description Course Name : Thesis Study Course Code : YLUAT-301 Course Type : Compulsory Level of Course : Sub-Level (Undergraduate Degree) Year of Study : 2 Course Semester : Fall (16 Weeks) ECTS : 24 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 : Ability to obtain and assess information in line with ethical values. Developing new approaches related to the field of remote sensing and GIS, gaining ability to solve problem. Following current developments in the field. Presenting the results in written, oral and visual forms. Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : none Aim(s) of Course : Access to information, setting up work, data acquisition, evaluating and using information on basis of scientific ethics for the thesis. Course Contents : Literature search, data collection and assessment, analyze and present the results in written and oral form for the MSc 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 Study for Master thesis Browse the literature related to the thesis Face to face interview, discussion 2 Study for Master thesis Browse the literature related to the thesis Face to face interview, discussion 3 Study for Master thesis Browse the literature related to the thesis Face to face interview, discussion 4 Study for Master thesis Browse the literature related to the thesis Face to face interview, discussion 5 Study for Master thesis Browse the literature related to the thesis Face to face interview, discussion 6 Study for Master thesis Browse the literature related to the thesis Face to face interview, discussion 7 Study for Master thesis Browse the literature related to the thesis Face to face interview, discussion 8 Midterm evaluation reporting evaluation 9 Study for Master thesis Browse the literature related to the thesis Face to face interview, discussion 10 Study for Master thesis Browse the literature related to the thesis Face to face interview, discussion 11 Study for Master thesis Browse the literature related to the thesis Face to face interview, discussion 12 Study for Master thesis Browse the literature related to the thesis Face to face interview, discussion 13 Study for Master thesis Browse the literature related to the thesis Face to face interview, discussion 14 Study for Master thesis Browse the literature related to the thesis Face to face interview, discussion 15 Study for Master thesis Browse the literature related to the thesis Face to face interview, discussion 16/17 Presentation term report about master thesis study Preparation of interim report Seminar   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 50     Homeworks/Projects/Others 14 50 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 16 224     Out of Class Study (Preliminary Work, Practice) 14 16 224 Assesment Related Works     Homeworks, Projects, Others 14 10 140     Mid-term Exams (Written, Oral, etc.) 1 10 10     Final Exam 1 10 10 Total Workload: 608 Total Workload / 25 (h): 24.32 ECTS Credit: 24