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Course Description Course Name : Statistic Course Code : CEV227 Course Type : Compulsory Level of Course : First Cycle Year of Study : 2 Course Semester : Fall (16 Weeks) ECTS : 4 Name of Lecturer(s) : Prof.Dr. GALİP SEÇKİN Learning Outcomes of the Course : Learns and evaluates the basic technical information on issues related to statistics Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : Physical, biological, and chemical treatment, the statistical analysis of the measured data to understand and graphical representations. Course Contents : Regression (linear and multiple regression), correlation, analysis of variance and understanding of the error probability and sampling distributions Language of Instruction : Turkish Work Place : Classroom   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Set Theory and the Sample Space review reated sections in guidance material, subject titles for presentations in the second half of the semester given to students should be investigated Explanation and discussion 2 Permutations and Combinations review reated sections in guidance material, subject titles for presentations in the second half of the semester given to students should be investigated Explanation and discussion 3 Introduction to Probability review reated sections in guidance material Explanation and discussion 4 Random Variables and Distributions review reated sections in guidance material, subject titles for presentations in the second half of the semester given to students should be investigated Explanation and discussion 5 Some Discrete Probability Distributions review reated sections in guidance material, subject titles for presentations in the second half of the semester given to students should be investigated Explanation and discussion 6 Distribution of Continuous Random Variables review reated sections in guidance material Explanation and discussion 7 Sample (Sample) Selection and Data Preparation and Analysis review reated sections in guidance material, subject titles for presentations in the second half of the semester given to students should be investigated Explanation and discussion 8 Mid term exam Review of course materials Classical exam 9 Sampling Distributions and Estimation review reated sections in guidance material Explanation and discussion 10 Statistical Inference: Hypothesis Testing review reated sections in guidance material, subject titles for presentations in the second half of the semester given to students should be investigated Explanation and discussion 11 Regression and Correlation review reated sections in guidance material, subject titles for presentations in the second half of the semester given to students should be investigated Explanation and discussion 12 Analysis of Variance review reated sections in guidance material, subject titles for presentations in the second half of the semester given to students should be investigated Explanation and discussion 13 Index Numbers review reated sections in guidance material Explanation and discussion 14 Time Series Analysis review reated sections in guidance material, subject titles for presentations in the second half of the semester given to students should be investigated Explanation and discussion 15 Probability Problems review reated sections in guidance material, subject titles for presentations in the second half of the semester given to students should be investigated Explanation and discussion 16/17 Final exam Class notes and the presentations made in class are reviewed Classical exam   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Olasılık ve İstatistik - Prof. Dr. Fikri AKDENİZ  Olasılık Problemleri - Ömer Faruk GÖZÜKIZIL, Metin YAMAN Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 70     Homeworks/Projects/Others 1 30 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 Becomes equipped with adequate knowledge in mathematics, science, environment and engineering sciences 5 2 Becomes able to apply theoretical knowledge in mathematics, science, environment and engineering sciences 5 3 Determines, describes, formulates and gains capabilities in solving engineering problems 5 4 Analyzes a system, components of the system or process, gains the designing capabilities of the system under the real restrictive conditions. 5 5 Chooses ans uses the ability to apply modern tools and design technics, suitable analytical methods, modeling technics for the engineering applications 4 6 Designs and performs experiments, data collection, has the ability of analyzing results 5 7 Works individually and in inter-disciplinary teams effectively 4 8 Becomes able to reach knowledge and for this purpose does literature research and to uses data base and other information sources 5 9 Becomes aware of the necessity of lifelong learning and continuously self renewal 3 10 Capable of effective oral and written skills in at least one foreign language for technical or non-technical use 3 11 Effective use of Information and communication technologies 5 12 Professional and ethical responsibility 4 13 Project management, workplace practices, environmental and occupational safety; awareness about the legal implications of engineering applications 2 14 Becomes aware of universal and social effects of engineering solutions and applications, entrepreneurship and innovation and to have idea of contemporary issues 2 15 Defines necessities in learning in scientific, social, cultural and artistic areas and improves himself/herself accordingly. 3 * 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) 13 3 39     Out of Class Study (Preliminary Work, Practice) 13 4 52 Assesment Related Works     Homeworks, Projects, Others 1 1 1     Mid-term Exams (Written, Oral, etc.) 1 2 2     Final Exam 1 2 2 Total Workload: 96 Total Workload / 25 (h): 3.84 ECTS Credit: 4