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 Lectures ยท 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.

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01:17:34

Lecture 1: Object-Oriented Programming

Dennis Freeman

Feb 04, 2013

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01:20:08

Lecture 2: Primitives, Combination, Abstraction, and Patterns

Dennis Freeman

Feb 04, 2013

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01:19:43

Lecture 3: Signals and Systems

Dennis Freeman

Feb 04, 2013

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01:18:30

Lecture 5: Characterizing System Performance

Dennis Freeman

Feb 04, 2013

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01:14:53

Lecture 6: Designing Control Systems

Dennis Freeman

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01:18:13

Lecture 7: Circuits

Dennis Freeman

Feb 04, 2013

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01:19:27

Lecture 8: Op-Amps

Dennis Freeman

Feb 04, 2013

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01:11:18

Lecture 9: Circuit Abstractions

Dennis Freeman

Feb 04, 2013

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01:17:47

Lecture 10: Discrete Probability and State Estimation

Dennis Freeman

Feb 04, 2013

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01:08:05

Lecture 12: Search Algorithms

Dennis Freeman

Feb 04, 2013

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01:03:34

Lecture 13: Optimizing a Search

Dennis Freeman

Feb 04, 2013

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Recitations

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11:22

Recitation 1: Object-Oriented Programming

Kendra Pugh

Feb 04, 2013

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4435 Views

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12:47

Recitation 5: LTI Motivations and Representations

Kendra Pugh

Feb 04, 2013

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2029 Views

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13:25

Recitation 2: Inheritance

Kendra Pugh

Feb 04, 2013

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2157 Views

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16:28

Recitation 3: Python Notables

Kendra Pugh

Feb 04, 2013

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2442 Views

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Recitation 4: State Machines

Kendra Pugh

Feb 04, 2013

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15:09

Recitation 6: System Equivalences

Kendra Pugh

Feb 04, 2013

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09:05

Recitation 7: Poles, Part I

Kendra Pugh

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Recitation 8: Poles, Part II

Kendra Pugh

Feb 04, 2013

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17:45

Recitation 9: Circuits: Representation, KVL, KCL

Kendra Pugh

Feb 04, 2013

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13:50

Recitation 10: Circuits: NVCC, Sample Problem

Kendra Pugh

Feb 04, 2013

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2056 Views

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10:31

Recitation 11: Op-Amps

Kendra Pugh

Feb 04, 2013

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12:40

Recitation 12: Thevenin/Norton Equivalence and Superposition

Kendra Pugh

Feb 04, 2013

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2337 Views

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15:27

Recitation 13: Probability: Basics

Kendra Pugh

Feb 04, 2013

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2228 Views

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12:18

Recitation 14: Probability: State Estimation

Kendra Pugh

Feb 04, 2013

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1977 Views

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15:13

Recitation 15: Search: Basics

Kendra Pugh

Feb 04, 2013

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1883 Views

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14:20

Recitation 16: Search: Dynamic Programming, Costs and Heuristics

Kendra Pugh

Feb 04, 2013

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2158 Views

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