Math 365 Spring 2018 Schedule (Syllabus)

Prof. Tanya Leise   MWThF 9am SMudd 205

Text: Introduction to Stochastic Processes with R by R. Dobrow (textbook R scripts and errata)
(freely available as Ebook through Five Colleges library catalog and through Moodle course page)

Date
Topic
Assigned Work and Class Materials
1/22-1/26    
M
1.1-1.3 Introduction to stochastic processes and R
To install: R and RStudio
To use via server: r.amherst.edu

Appendix A: 3.1, 3.2, 4.1, 4.4, 8.2, 9.1, 9.2 (due Mon 1/29)

Intro to R

W
1.4 Review of conditional probability R script for Chapter 1 demos
Th 1.5 Review of conditional expectation  
F
2.1-2 Markov chains R script for Section 2.1 demos
1/29-2/2
   
M

2.3 MC computations

Exercises 2.2, 2.4, 2.5, 2.16, 2.27 (due Mon 2/5)

W
2.4 Long-term behavior R script for Section 2.4 demos
Th
Markov chain diffusion (due Wed 2/7)  
F
3.1-3.2 Limiting and stationary distributions R script for Section 3.1 demos
2/5-9
   
M
3.3 The way to state a Exercises 3.3, 3.5, 3.10, 3.14, 3.27, 3.29 (due Mon 2/12)
W
3.3, cont'd  
Th
3.4 Irreducible Markov chains R script for Section 3.4 demos
F
3.5 Periodicity R script for Section 3.5 demos
2/12-2/16    
M
3.6-7 Ergodic/Reversibility Exercises 3.37, 3.46, 3.47, 3.59, 3.68 (due Mon 2/19)
W
3.8 Absorbing chains R script for Section 3.8 demos
R script for Section 3.8 examples
Th
Walk on a Graph and graph (due Mon 2/19)  
F
Walk on a Circle (due Wed 2/21)  
2/19-2/23
   
M
Review Take-home exam 1 (due Mon 2/26)
W
4.1-2 Branching processes intro R script for Section 4.2 demos
Th
4.3 Prob generating functions R script for Section 4.3 demos
Mathematics demo for prob gen fn
F
4.4 Extinction R script for Section 4.4 demos
2/26-3/2
 
M Branching processes (due Fri 3/2) Exercises 4.12, 4.14, 4.15, 4.17, 4.31 (due Mon 3/5)
W
5.1 Markov chain Monte Carlo intro R script for Section 5.1 demos
Th
5.2 Metropolis-Hastings
F
Rejection Sampling (due Wed 3/7)  
3/5-3/9
   
M
Decryption (due Fri 3/9)
AustenCount input file
Encrypted message
Helper R script
Exercises 5.1, 5.5 (due Mon 3/19)
W
5.3 Gibbs sampler

R script for Section 5.3 demos
Mathematica derivation

Th
6.1 Poisson processes intro
F
6.2 Arrival and interarrival times R script for Section 6.2 demos
3/10-3/18
Spring Recess  
3/19-3/23  
M
Poisson processes and data file (due Fri 3/23) Exercises 6.1, 6.3, 6.6, 6.7, 6.8, 6.15 (due Mon 3/26)
W
6.3 Infinitesimal probabilities  
Th
Finish chapter 6  
F
Coupon collector (due Mon 3/26)  
3/26-30
 
M
Review Take-home exam 2 (due Mon 4/2)
W
7.1-2 Continuous-time MC intro  
Th
7.3 Infinitesimal generator R script for Section 7.3 demos
F
7.4 Long-term behavior R script for Section 7.4 demos
4/2-4/6
 
M
7.5 Time reversibility Exercises 7.2, 7.4, 7.6, 7.21, 7.23, 7.33 (due Mon 4/9)
Mathematica demo
W
7.6 Queueing theory Project topic due today
Th
Queueing (due Wed 4/11)  
F
8.1 Brownian motion intro R script for Section 8.1 demos
4/9-4/13
 
M

8.2 Random walk

(No assigned exercises--work on project)
R script for Section 8.2 demos
W
Brownian Motion (due Fri 4/13)  
Th
8.4 Transformations and properties Outline of project due today
F
8.5 Variations and applications R script for Section 8.4 demo
4/16-4/20
 
M
8.6 Martingales Exercises 8.2, 8.4, 8.5(b), 8.11, 8.23, 8.31 (due Mon 4/23)
W
Polya's Urn (due Fri 4/20)  
Th
9.1 Stochastic calculus intro
9.2 Ito integral
F
No class

4/23-4/27
 
M
Presentations
(No assigned exercises--work on project)
W
Presentations  
Th

Presentations
 
F
Presentations  
  Take-home third exam due 4pm Thurs May 10 Project reports due 4pm Tues May 8