### Course Details

 Title Statistics and Probability for Engineers Field of Study Engineering Professor Seri Park (seri.park@villanova.edu) Type Academic course Delivery Type Online Track (100% online course): Pre-recorded Credits 3 Contact hours 45 Schedule N/A Recorded Course code ISS1153 Course number 18058 Description This course provides an introduction and review of probability theory and statics, with an emphasis on the application in the engineering field. Course topics include descriptive statistics, various probability distributions, hypothesis tests, confidence intervals, and statistical modeling. Objective Upon completion of this course, students will be able to: • Explain fundamental concepts and theory in probability and statistics • Identify appropriate distributions to represent the population being analyzed • Apply knowledge of statistical concepts to assess various datasets • Perform statistical inference processes such as hypothesis testing and regression models • Estimate and describe relationships between independent and dependent variables Preparations Not required Course materials will be provided by the instructor as needed Materials Evaluation Assignment 15% Attendance 10% Final 30% Midterm 30% Quiz 15% Lesson Plan Class 1: Probability and Engineers, Descriptive Statistics Class 2: Probability: Bayes’ theorem Class 3: Probability Distributions: Discrete Random Variables and Probability Distributions Class 4: Probability Distributions: Continuous Random Variables and Probability Distributions Class 5: Sampling and Data Description: random sampling, box plots, probability plots etc. Class 6: Parameter Estimation: Principle of Point estimation Class 7: Midterm Exam Class 8: Confidence Interval: interval estimation Class 9: Hypothesis Test: General concepts, connection between Hypothesis Tests and Confidence Interval, etc. Class 10: Hypothesis Test: t-Test, Goodness-of-Fit, etc. Class 11: Analysis of Variance (ANOVA): technique, one-way ANOVA Class 12: Correlation and Simple Linear Regression Class 13: Multiple Regression Analysis Class 14: Multiple Regression Analysis (cont’) Class 15: Final Exam Last Updated April 16, 2021 Print