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calendar icon Jan 20, 2011 videos icon 27 videos
6.01SC Introduction to Electrical Engineering and Computer Science, I Spring 2011

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

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.

Recitations

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16:28

Recitation 3: Python Notables

Kendra Pugh

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10:31

Recitation 11: Op-Amps

Kendra Pugh

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13:46

Recitation 4: State Machines

Kendra Pugh

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15:21

Recitation 8: Poles, Part II

Kendra Pugh

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15:13

Recitation 15: Search: Basics

Kendra Pugh

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11:22

Recitation 1: Object-Oriented Programming

Kendra Pugh

calendar icon Feb 4, 2013 4460 views

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13:25

Recitation 2: Inheritance

Kendra Pugh

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15:09

Recitation 6: System Equivalences

Kendra Pugh

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17:45

Recitation 9: Circuits: Representation, KVL, KCL

Kendra Pugh

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12:47

Recitation 5: LTI Motivations and Representations

Kendra Pugh

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15:27

Recitation 13: Probability: Basics

Kendra Pugh

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14:20

Recitation 16: Search: Dynamic Programming, Costs and Heuristics

Kendra Pugh

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13:50

Recitation 10: Circuits: NVCC, Sample Problem

Kendra Pugh

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12:18

Recitation 14: Probability: State Estimation

Kendra Pugh

calendar icon Feb 4, 2013 1994 views

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09:05

Recitation 7: Poles, Part I

Kendra Pugh

calendar icon Feb 4, 2013 2423 views

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12:40

Recitation 12: Thevenin/Norton Equivalence and Superposition

Kendra Pugh

calendar icon Feb 4, 2013 2354 views

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01:11:18

Lecture 9: Circuit Abstractions

Dennis Freeman

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01:14:53

Lecture 6: Designing Control Systems

Dennis Freeman

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01:20:08

Lecture 2: Primitives, Combination, Abstraction, and Patterns

Dennis Freeman

calendar icon Feb 4, 2013 3350 views

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01:17:34

Lecture 1: Object-Oriented Programming

Dennis Freeman

calendar icon Feb 4, 2013 20734 views

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01:18:30

Lecture 5: Characterizing System Performance

Dennis Freeman

calendar icon Feb 4, 2013 2492 views

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01:18:13

Lecture 7: Circuits

Dennis Freeman

calendar icon Feb 4, 2013 3114 views

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01:19:27

Lecture 8: Op-Amps

Dennis Freeman

calendar icon Feb 4, 2013 4690 views

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01:17:48

Lecture 10: Discrete Probability and State Estimation

Dennis Freeman

calendar icon Feb 4, 2013 2582 views

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01:08:05

Lecture 12: Search Algorithms

Dennis Freeman

calendar icon Feb 4, 2013 2693 views

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01:03:34

Lecture 13: Optimizing a Search

Dennis Freeman

calendar icon Feb 4, 2013 2509 views

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01:19:43

Lecture 3: Signals and Systems

Dennis Freeman

calendar icon Feb 4, 2013 5164 views

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