Lecture Slides

• Lecture 1 Programming in R
• Lecture 2 Statistics in R
• Lectures 3 and 4 Generation and Testing of Pseudorandom Numbers
• Lectures 5 and 6 Modelling and Simulation of Discrete Data
• Lecture 7 Modelling and Simulation of Continuous Random Variables I
• Lecture 8 Modelling and Simulution of Continuous Random Variables II
• Lecture 9 Multivariate Models I
• Lecture 10 Multivariate Models II
• Lecture 11a t and F distributions
• Lecture 11b Regression Models
• Lecture 12 Time Series Models
• Lecture 13 Markov Chain Models
• Lecture 14 Markov Chain Monte Carlo
• Lecture 15 Hidden Markov Models
• Lecture 16 Linear Programming
• Lecture 17 Extensions of Linear Programming and Nonlinear Optimization (optional)

Assignments

• Assignment 0
• Assignment 1
• Assignment 2 Solution
• Assignment 3 Solution
• Assignment 4 Solution

Test Information

Tests are open book. Laptops are allowed, but they must not be used to communicate with other humans or AI devices. You may access this website, open an R session and use Canvas ONLY. If you have prepared your own notes from the lectures, you can bring those in as well.

Cell phones and any other devices that can access the internet are strictly forbidden.

The format of the tests will be similar to the practice tests.

• For Test 1:
  1. Practice test questions are available on Canvas.
  2. Test coverage: all material up to Slide 21 of Lectures 5 and 6 Slides.
  3. For Test 2:
     1. Practice test questions are available on Canvas.
     2. Test coverage: all material up to Slide 43 of the Lecture 9 Slides.
  4. For Test 3:
     1. Practice test questions are available on Canvas.
     2. Test coverage: all material up to the end of Lecture 11 Slides.

Final Exam Information

There is no final examination in this course.