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Course Description Course Name : Seminar Course Code : YLBBS-101 Course Type : Optional Level of Course : Second Cycle Year of Study : 1 Course Semester : Fall (16 Weeks) ECTS : 6 Name of Lecturer(s) : Prof.Dr. TURGUT YEŞİLOĞLU Assoc.Prof.Dr. EBRUYAŞA KAFKAS Prof.Dr. ÖMER GEZEREL Prof.Dr. SİNAN ETİ Prof.Dr. SEMİH TANGOLAR Prof.Dr. SEVGİ PAYDAŞ Prof.Dr. AYZİN KÜDEN Prof.Dr. AHSEN IŞIK ÖZGÜVEN Prof.Dr. ALİ KÜDEN Prof.Dr. ÖMÜR DÜNDAR Prof.Dr. NEBAHAT SARI Prof.Dr. NURGÜL TÜREMİŞ Prof.Dr. SAADET BÜYÜKALACA Prof.Dr. SALİH KAFKAS Assoc.Prof.Dr. HAYRİYE YILDIZ DAŞGAN Assoc.Prof.Dr. NESLİHAN YEŞİM YALÇIN MENDİ Prof.Dr. YILDIZAKA KAÇAR Assoc.Prof.Dr. BİLGE YILMAZ Asst.Prof.Dr. NEZİHE KÖKSAL Assoc.Prof.Dr. SERPİL GÖK TANGOLAR Assoc.Prof.Dr. OKAN ÖZKAYA Learning Outcomes of the Course : Takes advantage of his/her prior knowledge and experiences. Improves the ability to access information. Follows the ethical rules. Gains the ability to compile information on a topic, analyze, interpret and the evaluate. Gains the ability to write a scientific paper by evaluating the data obtained in the best way. Gains ability to present the information compiled in front of an audience efficiently. Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : The aim of this course is to scan for information in different scientific resources and database, combine, interpret and summarize the obtained data, discuss and achieve a result. Course Contents : The contents of this course include scanning for information and collecting data from scientific resources and data base, classifying the data, writing and presenting the data in an academic manner. Language of Instruction : Turkish Work Place : Seminar room of the deparment   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Getting prepared to the seminar by scanning for information from different resources. Gathering information related to the seminar subject. Presentation, discussion 2 Getting prepared to the seminar by scanning for information from different resources. Gathering information related to the seminar subject. Presentation, discussion 3 Getting prepared to the seminar by scanning for information from different resources. Gathering information related to the seminar subject. Presentation, discussion 4 Getting prepared to the seminar by scanning for information from different resources. Gathering information related to the seminar subject. Presentation, discussion 5 Getting prepared to the seminar by scanning for information from different resources. Gathering information related to the seminar subject. Presentation, discussion 6 Getting prepared to the seminar by scanning for information from different resources. Gathering information related to the seminar subject. Presentation, discussion 7 Getting prepared to the seminar by scanning for information from different resources. Gathering information related to the seminar subject and classifying data Presentation, discussion 8 Getting prepared to the seminar by scanning for information from different resources. Gathering information related to the seminar subject and classifying data Presentation, discussion 9 Getting prepared to the seminar by scanning for information from different resources. Gathering information related to the seminar subject and classifying data Presentation, discussion 10 Getting prepared to the seminar by scanning for information from different resources. Classifying and combining the obtained data. Presentation, discussion 11 Getting prepared to the seminar by scanning for information from different resources. Classifying and combining the obtained data. Presentation, discussion 12 Getting prepared to the seminar by scanning for information from different resources. Classifying and combining the obtained data. Presentation, discussion 13 Getting prepared to the seminar by scanning for information from different resources. Classifying and combining the obtained data. Presentation, discussion 14 Getting prepared to the seminar by scanning for information from different resources. Classifying and combining the obtained data. Presentation, discussion 15 Getting prepared to the seminar by scanning for information from different resources. Classifying and combining the obtained data. Presentation, discussion 16/17 Presenting the seminar Classifying and combining the obtained data Presentation, discussion   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  All materials related to seminar Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 0 100     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 Developing and improving the horticultural knowledge to professional level based on the bachelors degree qualifications 5 2 Understanding the horticulture and the interaction between the related disciplines 5 3 Solving problems by research methods and establishing cause-effect relationship 5 4 Using the theoretical and practical knowledge of Horticulture, supporting the related up to date progress with the quantitative and qualitative data, combining and interpreting the information and data obtained from different disciplines and developing new information and theories by synthesis. 5 5 Carrying out a study individually that requires professional knowledge in Horticulture 5 6 Analytically approaching in order to solve unpredictable and complex problems encountered in applications related to Horticulture, planning the research process, producing solutions by taking responsibility and evaluating-defending the obtained results 5 7 Leading in the situations when solving problems related to horticulture is necessary 5 8 Entering database related to horticulture, utilizing those sources and self-updating. 5 9 Evaluating the knowledge and skills in horticulture by criticism and directing their own learning process 5 10 Presenting their studies, developments of their expertise topic and research results by orally, written and taking advantage of visual equipments 5 11 Using software related to horticulture sufficiently and using information and communication technologies in advanced level 5 12 Obtaining data by scientific methods in order to solve a problem related to horticulture, establishing and interpreting the data by considering the scientific and ethical values 5 13 Using the assimilated horticultural knowledge in interdisciplinary studies, explaining, presenting and evaluating 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) 15 4 60     Out of Class Study (Preliminary Work, Practice) 15 4 60 Assesment Related Works     Homeworks, Projects, Others 0 0 0     Mid-term Exams (Written, Oral, etc.) 0 0 0     Final Exam 1 25 25 Total Workload: 145 Total Workload / 25 (h): 5.8 ECTS Credit: 6