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Course Description Course Name : Statistical Methods in Engineering Course Code : INS215 Course Type : Compulsory Level of Course : First Cycle Year of Study : 2 Course Semester : Fall (16 Weeks) ECTS : 5 Name of Lecturer(s) : Prof.Dr. RECEP YURTAL Learning Outcomes of the Course : Learns basic concepts and techniques related to data analysis Calculates probabilities and explain the appropriate probability distribution Obtains ability to select and use appropriate Statistical Techniques for Engineering Problems Solves statistical problems with computer programs and interprets the results Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : To give basic concepts of probability and statistics, to help students gain fundamental knowledge and skills about using the Statistical Methods in Engineering and Science Course Contents : Introduction. Frequency Analysis. Probability. Some Important Probability Distributions. Sampling Distributions. Statistical Hypotesis Testing. Regression Analysis. 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 Definition, development and importance of statistics in Civil Engineerig Handouts, Presentations and Textbooks Presentations and Examples 2 Basic Concepts and definitions Handouts, Presentations and Textbooks Presentations and Examples 3 Probability and Distribıtions Handouts, Presentations and Textbooks Presentations and Examples 4 Ferquence Analysis Handouts, Presentations and Textbooks Presentations and Examples 5 Parameter Estimation Handouts, Presentations and Textbooks Presentations and Examples 6 Important Probability Dsitributions Handouts, Presentations and Textbooks Presentations and Examples 7 Extreme Value Distributions Handouts, Presentations and Textbooks Presentations and Examples 8 Mid-Term Exam 9 Extreme Value Distribution and applications Handouts, Presentations and Textbooks Presentations and Examples 10 Sampling Distribution Handouts, Presentations and Textbooks Presentations and Examples 11 Statistical Hypotesis Testing Handouts, Presentations and Textbooks Presentations and Examples 12 Regression Analysis Handouts, Presentations and Textbooks Presentations and Examples 13 Variance Analysis Handouts, Presentations and Textbooks Presentations and Examples 14 Computer Applications Handouts, Presentations and Textbooks Presentations and Examples 15 Computer Applications Handouts, Presentations and Textbooks Presentations and Examples 16/17 Final Exam   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Probability and Statistics for Engineers, Beyhan Oğus, Mehmetçik Bayazıt, Birsen Yayınevi Required Course Material(s)  Statistics, Schaum’s Outline Series, McGraw Hill   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 90     Homeworks/Projects/Others 2 10 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 Designs a system, a component or a process in order to meet the needs of various engineering problems within technical, economic, environmental, manufacturability, sustainability limitations. 2 2 Identifies proper sources of information and databases, reaches them and uses them efficiently. 0 3 Follows the advancements in science and technology being aware of the necessity of lifelong learning and continuously improves her/himself. 1 4 Uses the computers and information technologies related with civil engineering actively. 3 5 Gains the ability to communicate effectively both orally and in writing. 1 6 Communicates using technical drawing 0 7 Has an understanding of entrepreneurship and innovation subjects, and is knowledgeable of contemporary issues. 0 8 Has an awareness of professional and ethical responsibility 0 9 Has the required knowledge in project management, workplace practices, employee health, environmental and occupational safety; and the legal implications of engineering applications. 0 10 Has the basic knowledge of math, science and civil engineering 4 11 Has a good commman of basic concepts, theories and principles in civil engineering. 3 12 Independently reviews and learns the applications, makes a critical assessment of the problems faced with, selects the proper technique to formulate problems and propose solutions 3 13 Selects and uses the modern techniques and tools necessary for engineering practice 2 14 Designs and carries out experiments in the fields of civil engineering, and interprets the results and the data obtained from the experiments 4 15 Gains the abiltiy to work effectively as a member in interdisciplinary teams 0 16 Constantly improves her/himself by identifying the training needs in scientific, cultural, artistic and social fields. 0 17 Continuously improves her/himself by defining necessities in learning in scientific, social, cultural and artistic areas besides the occupational requirements. 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 4 56     Out of Class Study (Preliminary Work, Practice) 14 3 42 Assesment Related Works     Homeworks, Projects, Others 2 3 6     Mid-term Exams (Written, Oral, etc.) 1 4 4     Final Exam 1 6 6 Total Workload: 114 Total Workload / 25 (h): 4.56 ECTS Credit: 5