Models, Data and Inference for Socio-Technical Systems

Lecture Notes

SES #	TOPICS	INSTRUCTORS
1	Introduction and overview (PDF) 3-door problem (PDF)	Prof. Richard C. Larson and Prof. Daniel D. Frey
2	Analyzing a probability problem (PDF) Probability mass functions	Prof. Richard C. Larson
3	Broken stick problem (PDF) Working in sample space	Prof. Richard C. Larson
4	Pedestrian crossing problem (PDF)	Prof. Richard C. Larson
5	Random incidence: A major source of selection bias (PDF)	Prof. Richard C. Larson
6	Random incidence and more (PDF)	Prof. Richard C. Larson
7	Spatial models (PDF)	Prof. Richard C. Larson
8	Markov processes and their application to queueing, part 1 (PDF)	Prof. Richard C. Larson
9	Markov processes and their application to queueing, part 2 (PDF)	Prof. Richard C. Larson
10	Queueing and transitions: Sampling from distributions, Gauss (PDF)	Prof. Richard C. Larson
11	Derived distributions to statistics (PDF) (Courtesy of Aman Chawla. Used with permission.)	Aman Chawla (guest lecturer)
12	The Queue Inference Engine and the psychology of queueing (PDF) Beyond the physics of queueing (PDF)	Prof. Richard C. Larson
13	The Weibull distribution and parameter estimation (PDF)	Prof. Daniel D. Frey
14	Hypothesis testing (PDF)	Prof. Daniel D. Frey
15	Descriptive statistics and statistical graphics (PDF - 1.1 MB)	Prof. Daniel D. Frey
16	Regression (PDF)	Prof. Daniel D. Frey
17	Analysis of variance, with discussion of Bayesian and frequentist statistics (PDF)	Prof. Daniel D. Frey
18	Multiple regression (PDF)	Prof. Daniel D. Frey
19	Design of experiments, part 1 (PDF) Design of experiments, part 2 (PDF)	Prof. Daniel D. Frey
20	Design of computer experiments (PDF)	Prof. Daniel D. Frey
21	Closure - Threats to validity of inference	Prof. Daniel D. Frey
22	Final presentations 1
23	Final presentations 2