Course Information Semester Course Code Course Title T+P+L Credit ECTS 4 05440003 Probability and Statistics 3+0+0 4 4 Course Details Language : Level : Department / Program : Mode of Delivery : Type : Objectives : Content : Methods & Techniques : Prerequisites and co-requisities : Course Coordinator : Name of Lecturers : Assistants : Work Placement(s) : Recommended or Required Reading Course Category Engineering Design 50% Field 50% In-Term Study Informations In-Term Studies Quantity Percentage Mid-terms 1 40% Final examination 1 60% Total 2 100% Activity Informations Activities Quantity Duration Total Work Load Course Duration 14 3 42 Hours for off-the-c.r.stud 14 2 28 Mid-terms 1 10 10 Final examination 1 15 15 Total Work Load ECTS: 4 95 Course Learning Outcomes Upon the successful completion of this course, students will be able to: No Learning Outcomes 1 Classify the raw data and prepare the frequency distributions, calculate the central tendencies (mean, median, mode) and distribution (standard deviation, variance, skewness, kurtosis, moment) of an index. 2 It uses the Taguchi method. 3 Performs variance analysis. 4 It performs curve fitting, correlation and regression analysis on the data. Weekly Detailed Course Contents Week Topics 1 Introduction to probability and probability theory 2 Introduction to Statistics, Data Collection Methods 3 Central Tendency Measurements 4 Central Distribution (Spread) Measures 5 Introduction to Matlab 7 Central Tendency and Distribution Measurements Matlab Applications 8 Data Processing and Graphing Matlab Applications 10 Experimental Design with Taguchi Method 12 Analysis of Variance, Curve Fitting 14 Regression Analysis 15 Final Contribution of Learning Outcomes to Programme Outcomes P1P2P3P4P5P6P7P8P9P10P11 All 55 C1 55 C2 55 C3 55 C4 55 bbb
