IMSE 440: Applied Statistical Models in Engineering

Syllabus Canvas Project

Schedule

Week Topics
1 Course introduction, Introduction to Python
2 Introduction to data analysis in Python
3 Introduction to data analysis and visualization in Python
4 Simple linear regression, parameter estimation
5 Assessing the accuracy of the parameter estimates
6 Assessing the accuracy of the model
7 Confidence and prediction intervals
8 Multiple linear regression, categorical predictors
9 Model diagnostics & evaluation
10 Overfitting, cross-validation, more on linear regression
11 Logistic regression
12 Classifier evaluation, Introduction to design of experiments
13 Comparing experiments, experiments with a single factor
14 Randomized design, blocking factors and common designs, Latin Squares design