6.01SC Introduction to Electrical Engineering and Computer Science, I Spring 2011

6.01SC Introduction to Electrical Engineering and Computer Science, I Spring 2011

27 Videos · Jan 20, 2011

About

This course provides an integrated introduction to electrical engineering and computer science, taught using substantial laboratory experiments with mobile robots. Our primary goal is for you to learn to appreciate and use the fundamental design principles of modularity and abstraction in a variety of contexts from electrical engineering and computer science.

Our second goal is to show you that making mathematical models of real systems can help in the design and analysis of those systems. Finally, we have the more typical goals of teaching exciting and important basic material from electrical engineering and computer science, including modern software engineering, linear systems analysis, electronic circuits, and decision-making.

Videos

Recitations

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16:28

Recitation 3: Python Notables

Kendra Pugh

Feb 4, 2013

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2455 views

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10:31

Recitation 11: Op-Amps

Kendra Pugh

Feb 4, 2013

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2180 views

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13:46

Recitation 4: State Machines

Kendra Pugh

Feb 4, 2013

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2126 views

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15:21

Recitation 8: Poles, Part II

Kendra Pugh

Feb 4, 2013

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2106 views

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15:13

Recitation 15: Search: Basics

Kendra Pugh

Feb 4, 2013

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1894 views

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11:22

Recitation 1: Object-Oriented Programming

Kendra Pugh

Feb 4, 2013

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4452 views

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13:25

Recitation 2: Inheritance

Kendra Pugh

Feb 4, 2013

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2174 views

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15:09

Recitation 6: System Equivalences

Kendra Pugh

Feb 4, 2013

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2017 views

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17:45

Recitation 9: Circuits: Representation, KVL, KCL

Kendra Pugh

Feb 4, 2013

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3463 views

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12:47

Recitation 5: LTI Motivations and Representations

Kendra Pugh

Feb 4, 2013

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2047 views

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15:27

Recitation 13: Probability: Basics

Kendra Pugh

Feb 4, 2013

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2238 views

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14:20

Recitation 16: Search: Dynamic Programming, Costs and Heuristics

Kendra Pugh

Feb 4, 2013

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2166 views

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13:50

Recitation 10: Circuits: NVCC, Sample Problem

Kendra Pugh

Feb 4, 2013

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2067 views

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12:18

Recitation 14: Probability: State Estimation

Kendra Pugh

Feb 4, 2013

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1989 views

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09:05

Recitation 7: Poles, Part I

Kendra Pugh

Feb 4, 2013

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2419 views

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12:40

Recitation 12: Thevenin/Norton Equivalence and Superposition

Kendra Pugh

Feb 4, 2013

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2347 views

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01:14:53

Lecture 6: Designing Control Systems

Dennis Freeman

Feb 4, 2013

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4352 views

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01:11:18

Lecture 9: Circuit Abstractions

Dennis Freeman

Feb 4, 2013

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2646 views

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01:18:30

Lecture 5: Characterizing System Performance

Dennis Freeman

Feb 4, 2013

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2484 views

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01:03:34

Lecture 13: Optimizing a Search

Dennis Freeman

Feb 4, 2013

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2489 views

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01:20:08

Lecture 2: Primitives, Combination, Abstraction, and Patterns

Dennis Freeman

Feb 4, 2013

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3337 views

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01:17:34

Lecture 1: Object-Oriented Programming

Dennis Freeman

Feb 4, 2013

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20714 views

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01:18:13

Lecture 7: Circuits

Dennis Freeman

Feb 4, 2013

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3105 views

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01:19:27

Lecture 8: Op-Amps

Dennis Freeman

Feb 4, 2013

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4677 views

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01:17:48

Lecture 10: Discrete Probability and State Estimation

Dennis Freeman

Feb 4, 2013

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2572 views

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01:19:43

Lecture 3: Signals and Systems

Dennis Freeman

Feb 4, 2013

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5138 views

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01:08:05

Lecture 12: Search Algorithms

Dennis Freeman

Feb 4, 2013

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2681 views