Uniform cost search takes into account the cost associated with an action, and can be implemented with a priority queue.  Heuristics extimate the cost of the remaining path to the goal; the Manhattan distance is an example of an admissible heuristic.

Lecture 13: Optimizing a Search

Discussion of imperative, functional, and object-oriented programming styles.  State machines are introduced, using a turnstile as an example.

Lecture 2: Primitives, Combination, Abstraction, and Patterns 

Two search algorithms are introduced, depth-first search and breadth-first search.  Pruning rules (including dynamic programming) are also considered, so that the same state is not visited repeatedly.

Lecture 12: Search Algorithms

Introduction to probability theory, with the goals of making precise statements about uncertain situations and drawing reliable inferences from unreliable observations.  A hidden Markov model is then applied to robot navigation.

Lecture 10: Discrete Probability and State Estimation

Introduction to the four modules of 6.01 (software engineering, signals and systems, circuits, probability and planning).  The lecture then introduces object-oriented programming in Python, and ends with a discussion of environments.

Lecture 1: Object-Oriented Programming

Circuit design is complicated by interactions among elements, but these interactions can be reduced or eliminated by using an op-amp as a buffer.  This lecture covers how to analyze and design op-amp circuits.

Lecture 8: Op-Amps

System functions provide a summary of information that help optimize the design of a control system.  Poles are discussed further, based on their location on the unit circle.

Lecture 6: Designing Control Systems

This lecture covers other ways of achieving modularity in circuit design.  If a circuit only contains linear elements, then it can be represented by a Thevenin or Norton equivalent circuit, and superposition can be used.

Lecture 9: Circuit Abstractions

Introduction to poles, which provide a way to characterize the behavior of a system in terms of a mathematical description as a system function.

Lecture 5: Characterizing System Performance

Introduction to circuits, including several methods for analyzing circuits (Kirchoff's current and voltage laws, node voltages, and loop currents) and common patterns that simplify analysis.

Lecture 7: Circuits

OCW Scholar: Introduction to Electrical Engineering and Computer Science I

Introduction to signals and systems, focusing on multiple representations of discrete-time systems: difference equations, block diagrams, and operator representations.

Lecture 3: Signals and Systems

Recitation video covering dynamic programming, costs, and heuristics.

Recitation 16: Search: Dynamic Programming, Costs and Heuristics

Recitation video covering the basics of search.

Recitation 15: Search: Basics

Recitation video covering the basics of probability.

Recitation 13: Probability: Basics

Recitation video covering state estimation.

Recitation 14: Probability: State Estimation

The best podcasts about ourselves as well as the world through the lense of Science. Specific topics include things about our brain, emotions to biology, physics and more!

Best Episodes on Science, Humans & The World

The best podcast episodes on romantic relationships. Episodes talk about the 5 love languages, intimacy, and the taboo topics of sexual desires and infidelity. This topic is a deep dive into the science and complexities that face us in our relationships with others. Add episodes you're interested into your queue below!