The dynamic behaviour and automatic control of processes are studied. Mathematical tools for analyzing the transient behaviour of open and closed-loop systems are presented. The steps of controller development are treated: process characterization (using mathematical models), controller design, and implementation.
This is the introductory course for Python for Beginners. Please start here if you have no experience coding in Python. This course is self-paced; you can proceed through the course, but need to complete each unit before moving on to the next unit.
This course offers an in-depth the theoretical foundations for statistical methods that are useful in many applications. The goal is to understand the role of mathematics in the research and development of efficient statistical methods.
This course explores the physical processes that control Earth’s atmosphere, ocean, and climate. Quantitative methods for constructing mass and energy budgets. Topics include clouds, rain, severe storms, regional climate, the ozone layer, air pollution, ocean currents and productivity, the seasons, El Niño, the history of Earth’s climate, global warming, energy, and water resources.
This course concentrates on close analysis and criticism of a wide range of films, from the early silent period, classic Hollywood genres including musicals, thrillers and westerns, and European and Japanese art cinema. It explores the work of Griffith, Chaplin, Keaton, Capra, Hawks, Hitchcock, Altman, Renoir, DeSica, and Kurosawa. Through comparative reading of films from different eras and countries, students develop the skills to turn their in-depth analyses into interpretations and explore theoretical issues related to spectatorship.
This MOOC created by team 56 of FDP 301x, is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License. You are free to use, distribute and modify it, including for commercial purposes, provided you acknowledge the source and share-alike.