Lecture 2: Primitives, Combination, Abstraction, and Patterns

author: Dennis Freeman, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, MIT
recorded by: Massachusetts Institute of Technology, MIT
published: Feb. 4, 2013,   recorded: January 2011,   views: 3305
released under terms of: Creative Commons Attribution Non-Commercial Share Alike (CC-BY-NC-SA)
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Description

n this session, we expand on programming, introducing other programming paradigms and indicating features of Python that tie in to notable programming concepts.

We also introduce state machines. State machines model systems that are functional, but also have memory. State machines are incredibly general, but incredibly powerful, and can be used to model all kinds of systems, as you'll see in future sessions. You can use state machines to control, model, and predict behaviors in systems.

The overview handout provides a more detailed introduction, including the big ideas of the session, key vocabulary, and what you should understand (theory) and be able to do (practice) after completing this session.

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