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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2446 views

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10:31

Recitation 11: Op-Amps

Kendra Pugh

Feb 4, 2013

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2172 views

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13:46

Recitation 4: State Machines

Kendra Pugh

Feb 4, 2013

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2115 views

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15:21

Recitation 8: Poles, Part II

Kendra Pugh

Feb 4, 2013

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2099 views

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15:13

Recitation 15: Search: Basics

Kendra Pugh

Feb 4, 2013

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1886 views

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11:22

Recitation 1: Object-Oriented Programming

Kendra Pugh

Feb 4, 2013

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4439 views

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13:25

Recitation 2: Inheritance

Kendra Pugh

Feb 4, 2013

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2160 views

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15:09

Recitation 6: System Equivalences

Kendra Pugh

Feb 4, 2013

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1998 views

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17:45

Recitation 9: Circuits: Representation, KVL, KCL

Kendra Pugh

Feb 4, 2013

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3452 views

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12:47

Recitation 5: LTI Motivations and Representations

Kendra Pugh

Feb 4, 2013

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2034 views

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15:27

Recitation 13: Probability: Basics

Kendra Pugh

Feb 4, 2013

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2231 views

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14:20

Recitation 16: Search: Dynamic Programming, Costs and Heuristics

Kendra Pugh

Feb 4, 2013

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2161 views

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13:50

Recitation 10: Circuits: NVCC, Sample Problem

Kendra Pugh

Feb 4, 2013

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2060 views

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12:18

Recitation 14: Probability: State Estimation

Kendra Pugh

Feb 4, 2013

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1980 views

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09:05

Recitation 7: Poles, Part I

Kendra Pugh

Feb 4, 2013

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2413 views

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12:40

Recitation 12: Thevenin/Norton Equivalence and Superposition

Kendra Pugh

Feb 4, 2013

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2340 views

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01:14:53

Lecture 6: Designing Control Systems

Dennis Freeman

Feb 4, 2013

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4346 views

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01:18:30

Lecture 5: Characterizing System Performance

Dennis Freeman

Feb 4, 2013

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2468 views

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01:03:34

Lecture 13: Optimizing a Search

Dennis Freeman

Feb 4, 2013

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2479 views

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01:20:08

Lecture 2: Primitives, Combination, Abstraction, and Patterns

Dennis Freeman

Feb 4, 2013

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3330 views

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01:17:34

Lecture 1: Object-Oriented Programming

Dennis Freeman

Feb 4, 2013

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20699 views

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01:11:18

Lecture 9: Circuit Abstractions

Dennis Freeman

Feb 4, 2013

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2636 views

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01:18:13

Lecture 7: Circuits

Dennis Freeman

Feb 4, 2013

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3100 views

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01:19:27

Lecture 8: Op-Amps

Dennis Freeman

Feb 4, 2013

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4664 views

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01:17:48

Lecture 10: Discrete Probability and State Estimation

Dennis Freeman

Feb 4, 2013

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2562 views

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01:19:43

Lecture 3: Signals and Systems

Dennis Freeman

Feb 4, 2013

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5127 views

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01:08:05

Lecture 12: Search Algorithms

Dennis Freeman

Feb 4, 2013

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2670 views