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Course Description Course Name : Statistics Course Code : FGE202 Course Type : Compulsory Level of Course : First Cycle Year of Study : 2 Course Semester : Spring (16 Weeks) ECTS : 5 Name of Lecturer(s) : Prof.Dr. ADNAN GÜMÜŞ Learning Outcomes of the Course : Understands the measures of central tendency and dispersion Understands sampling distributions and the properties Understands the location of statistics in empirical social research Distinguishes the normal distribution from other distributions Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : Determine the appropriate statistical techniques to problems in the process of research, description of these techniques, graphics or tables to present and interpret the results. Course Contents : Showing the results of any event obtaining data sets from individuals and group with techniques, for this purpose: will examine numeric data evaluation, processing and teaching basic concepts for interpretive process; the basic functions of empirical social researcher; important variables in the social sciences and scales; forms of distributions, dimensions, measurements of the relationship and coefficients; probabilities, standard scores. Language of Instruction : Turkish Work Place : R2-202 classroom   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Subject of statistics,functions in empirical social research Studying relevant sources Pre reading, Sample selection 2 Important variables in Social Sciences and scale types Studying relevant sources Pre reading, Sample selection 3 One-dimensional distributions, the frequency of distribution Studying relevant sources Pre reading, Sample selection 4 Measures of central tendency, emission values Studying relevant sources Pre reading, Sample selection 5 Two-dimensional distributions and the concept of relationship Studying relevant sources Pre reading, Sample selection 6 Explanation of the relationship between nominal variables Studying relevant sources Pre reading, Sample selection 7 Explanation of the relationship between the sorter scales The statistical procedures to be completed Pre reading, Sample selection 8 Mid term exam Preparing for the exam Written exam 9 Explanations of the relationship between metric variables (correlation table - or rather regression account) Studying relevant sources Pre reading, Sample selection 10 Possibilities Studying relevant sources Pre reading, Sample selection 11 Distribution patterns, sampling and the basic thought in main mass Studying relevant sources Pre reading, Sample selection 12 Normal Distributions Studying relevant sources Pre reading, Sample selection 13 Features of Normal Distributions Studying relevant sources Pre reading, Sample selection 14 Standard Ratings Studying relevant sources Pre reading, Sample selection 15 General evaluation Course rewiev Lecture, problem solving, Interactional Discussion 16/17 Final exam Preparing for the exam Written exam   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Durgun, M. Z., (1994), Sosyal Bilimlerde İstatistik Yöntemleri (Statistical Method in Social Science), Ankara: Baki Press.  Lindquist, E. F. (1996), Istatistiğe Giris (Introduction to Statistic), İstanbul: Alkım Yayınevi.  Arıcı, Hüsnü, (1991) İstatistik Yöntem ve Uygulamalar, Ankara: Meteksan. Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 60     Homeworks/Projects/Others 1 40 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 Shows sensivity to issues of social, philosophical, and literary 2 2 Makes research sources of the main problems in field of Philosophy, Psychology and Sociology 4 3 Uses information related with his/her field in business and everyday life with the awareness of social responsibility 2 4 The problems encountered in educatıonal environment and everyday life ıs evaluated from the perspective of sociology and psychology 2 5 Understands the problems encountered in the study area, solves and redirects 4 6 Puts solutıon recommendations forward systematically and consistently in writing and orally for encountered problems and knowledge in the field 3 7 Gets ability of critical, different and creative thinking and multi-dimensional perspective 3 8 Access and use related printed information and other sources of information in the field 4 9 Follows the developments and information in the field and and communicates with colleagues 2 10 Defines required concepts of the three main areas (philosophy, sociology, psychology) 3 11 Deals with problems related to man,society and values independently 3 12 Knows the problems differed from past to present and examines these issues in terms of present-day 3 13 Interpretes integrating theoretical knowledge with related disciplines, analyses and creates new information 3 14 Be open to continuous self-development and research 4 15 Takes responsibility individually and / or in a team, be leadership, and works effectively 4 16 Explains theorical debates of three main areas (philosophy, sociology, psychology) in relation to today´s problems 3 17 Follows software and hardware with printed and other information concerning with philosophy, social sciences ,educational sciences and education technologies, reaches, uses and improves effective ways of education-teaching. 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 1 3 3     Mid-term Exams (Written, Oral, etc.) 1 3 3     Final Exam 1 9 9 Total Workload: 113 Total Workload / 25 (h): 4.52 ECTS Credit: 5