IMSE 440: Applied Statistical Models in Engineering

Syllabus Canvas Project


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