1
In this class, students use data and systems knowledge to build models of complex socio-technical systems for improved system design and decision-making.
FREE
This course includes
Hours of videos
638 years, 9 months
Units & Quizzes
23
Unlimited Lifetime access
Access on mobile app
Certificate of Completion
Students will enhance their model-building skills, through review and extension of functions of random variables, Poisson processes, and Markov processes; move from applied probability to statistics via Chi-squared t and f tests, derived as functions of random variables; and review classical statistics, hypothesis tests, regression, correlation and causation, simple data mining techniques, and Bayesian vs. classical statistics. A class project is required.
Course Currilcum
- Introduction and overview Unlimited
- 3-door problem Unlimited
- Analyzing a probability problem Unlimited
- Broken stick problem Unlimited
- Pedestrian crossing problem Unlimited
- Random incidence: A major source of selection bias Unlimited
- Random incidence and more Unlimited
- Spatial models Unlimited
- Markov processes and their application to queueing, part 1 Unlimited
- Markov processes and their application to queueing, part 2 Unlimited
- Queueing and transitions: Sampling from distributions, Gauss Unlimited
- Derived distributions to statistics Unlimited
- The Queue Inference Engine and the psychology of queueing Unlimited
- Beyond the physics of queueing Unlimited
- The Weibull distribution and parameter estimation Unlimited
- Hypothesis testing Unlimited
- Descriptive statistics and statistical graphics Unlimited
- Regression Unlimited
- Analysis of variance, with discussion of Bayesian and frequentist statistics Unlimited
- Multiple regression Unlimited
- Design of experiments, part 1 Unlimited
- Design of experiments, part 2 Unlimited
- Design of computer experiments Unlimited
