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Course Description Course Name : Statistics Course Code : AEN213 Course Type : Compulsory Level of Course : First Cycle Year of Study : 2 Course Semester : Fall (16 Weeks) ECTS : 5 Name of Lecturer(s) : Assoc.Prof.Dr. MEHMET BİLGİLİ Learning Outcomes of the Course : Creates a Quality Management System Infrastructure Applies Quality Standards Applies statistical quality control methods Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : This course aims to teach statistical quality control methods and concepts Course Contents : Introduction to statistics. Organization and description of data. Probability and statistics. Probability distributions. Probability densities. Sampling distributions. Inferences concerning a mean. Hypothess test. Language of Instruction : English Work Place : Classroom   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Introduction Text Book, Chapter 1 Oral Presantation 2 Organization and description of statistical data Text Book, Chapter 2 Oral Presantation 3 Organization and description of statistical data Text Book, Chapter 2 Oral Presantation 4 Probability Text Book, Chapter 3 Oral Presantation 5 Probability Text Book, Chapter 3 Oral Presantation 6 Probability distributions Text Book, Chapter 4 Oral Presantation 7 Midterm Exam. Writing Exam Writing Exam 8 Probability distributions Text Book, Chapter 4 Oral Presantation 9 Probability densities Text Book, Chapter 5 Oral Presantation 10 Probability densities Text Book, Chapter 5 Oral Presantation 11 Sampling distributions Test Book, Chapter 6 Oral Presantation 12 Sampling distributions Text Book, Chapter 6 Oral Presantation 13 Inferences concerning a mean, Hypotheses test Text Book, Chapter 7 Oral Presantation 14 Inferences concerning a mean, Hypotheses test Text Book, Chapter 7 Oral Presantation 15 Inferences concerning a mean, Hypotheses test Text Book, Chapter 7 Oral Presantation 16/17 Final exam. Writing Exam Writing Exam   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Probability and Statistics for Engineers - Richard A. JOHNSON 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 10 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 Utilizes computer systems and softwares 2 2 Generates solutions for the problems in other disciplines by using statistical techniques 5 3 Comprehends visual, database and web programming techniques and has the ability of writing objective program 1 4 Is equipped with a variety of skills and techniques in engineering. 2 5 Designs a system, component or process so as to meet various engineering needs within technical, economic, environmental, manufacturability, sustainability limitations. 0 6 Examines and learns applications in an enterprise independently, makes critical assesments of problems, formulates problems and selects suitable techniques for solutions. 3 7 Leads the identification, development and usage of a product or production method. 1 8 Is aware of the need for lifelong learning and self-renew 4 9 Has effective oral and written English for technical or non-technical use 2 10 Uses computers very effectively, makes computer-aided drafting, designs, analysis, and presentations. 1 11 Improves constantly itself , as well as professional development scientific, social, cultural and artistic fields according to his/her interests and abilities identifying needs of learning. 1 12 Is aware of the technical and ethical responsibilities, has inquisitive and innovative quality 0 * 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 10 2 20     Mid-term Exams (Written, Oral, etc.) 1 1 1     Final Exam 1 1 1 Total Workload: 120 Total Workload / 25 (h): 4.8 ECTS Credit: 5