|Title||Statistics and Probability for Engineers|
|Field of Study||Engineering|
|Professor||Seri Park (email@example.com)|
|Delivery Type||Online Track (100% online course): Pre-recorded|
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.
Upon completion of this course, students will be able to:
Course materials will be provided by the instructor as needed
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|