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Course Description Course Name : Seminar Course Code : YLUAS-101 Course Type : Optional Level of Course : Sub-Level (Undergraduate Degree) Year of Study : 1 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 : Implementing national and interrnational literature research on given subject Repoting, synthesizing, analysing and interpreting the information obtained. Presenting the outcomes to the community and answer criticism. Using the informatics and communication technology during the research. Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : none Aim(s) of Course : To provide students with the skills needed for data collection, reporting and publishing about a specific subject on Remote Sensing and Geographical Information System. Course Contents : Choosing a seminar subject, surveying the literature, collecting data, analysing the data, reporting the data and presentation. Language of Instruction : Turkish Work Place : Lecture rooms and laboratory   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Introduction and scientific ethics Articles, books, book chapters on selected topics Lecture 2 Research subject, knowledge of writing techniques, plagiarism Articles, books, book chapters on selected topics Lecture 3 Research subject, knowledge of presentation techniques Articles, books, book chapters on selected topics Lecture 4 Literature search Articles, books, book chapters on selected topics Lecture 5 Literature search Articles, books, book chapters on selected topics Lecture 6 Literature search Articles, books, book chapters on selected topics Lecture 7 Literature search Articles, books, book chapters on selected topics Lecture 8 Presenting interim report Study for interim report Oral Exam 9 Literature search Articles, books, book chapters on selected topics Lecture 10 Assessment of the results Assessment of the collected notes Lecture and Small scale group work 11 Assessment of the results Assessment of the collected notes Lecture and Small scale group work 12 Assessment of the results Assessment of the collected notes Lecture and Small scale group work 13 Reporting of results Reading thesis Writing Rules of C.U. Institute of Science Lecture and Small scale group work 14 Reporting of results Reading thesis Writing Rules of C.U. Institute of Science Oral presentation of students 15 Presentation and discussion Study for presentation Oral presentation of students 16/17 Assessment of the presentation Preparing for the assessment Oral exam   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. 4 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. 2 4 The students gain knowledge to use current data and methods for multi-disciplinary research. 3 5 The students gain technical competence and skills in using recent GIS and remote sensing software. 3 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. 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. 4 10 The students gain knowledge on remote sensing technologies, sensors and platforms and remotely sensed data. 3 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. 2 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 2 2     Final Exam 1 2 2 Total Workload: 144 Total Workload / 25 (h): 5.76 ECTS Credit: 6