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

video-img
16:28

Recitation 3: Python Notables

Kendra Pugh

Feb 4, 2013

 · 

2454 views

video-img
10:31

Recitation 11: Op-Amps

Kendra Pugh

Feb 4, 2013

 · 

2179 views

video-img
13:46

Recitation 4: State Machines

Kendra Pugh

Feb 4, 2013

 · 

2123 views

video-img
15:21

Recitation 8: Poles, Part II

Kendra Pugh

Feb 4, 2013

 · 

2105 views

video-img
15:13

Recitation 15: Search: Basics

Kendra Pugh

Feb 4, 2013

 · 

1894 views

video-img
11:22

Recitation 1: Object-Oriented Programming

Kendra Pugh

Feb 4, 2013

 · 

4452 views

video-img
13:25

Recitation 2: Inheritance

Kendra Pugh

Feb 4, 2013

 · 

2172 views

video-img
15:09

Recitation 6: System Equivalences

Kendra Pugh

Feb 4, 2013

 · 

2015 views

video-img
17:45

Recitation 9: Circuits: Representation, KVL, KCL

Kendra Pugh

Feb 4, 2013

 · 

3461 views

video-img
12:47

Recitation 5: LTI Motivations and Representations

Kendra Pugh

Feb 4, 2013

 · 

2046 views

video-img
15:27

Recitation 13: Probability: Basics

Kendra Pugh

Feb 4, 2013

 · 

2237 views

video-img
14:20

Recitation 16: Search: Dynamic Programming, Costs and Heuristics

Kendra Pugh

Feb 4, 2013

 · 

2165 views

video-img
13:50

Recitation 10: Circuits: NVCC, Sample Problem

Kendra Pugh

Feb 4, 2013

 · 

2066 views

video-img
12:18

Recitation 14: Probability: State Estimation

Kendra Pugh

Feb 4, 2013

 · 

1988 views

video-img
09:05

Recitation 7: Poles, Part I

Kendra Pugh

Feb 4, 2013

 · 

2418 views

video-img
12:40

Recitation 12: Thevenin/Norton Equivalence and Superposition

Kendra Pugh

Feb 4, 2013

 · 

2345 views

video-img
01:14:53

Lecture 6: Designing Control Systems

Dennis Freeman

Feb 4, 2013

 · 

4350 views

video-img
01:11:18

Lecture 9: Circuit Abstractions

Dennis Freeman

Feb 4, 2013

 · 

2645 views

video-img
01:18:30

Lecture 5: Characterizing System Performance

Dennis Freeman

Feb 4, 2013

 · 

2482 views

video-img
01:03:34

Lecture 13: Optimizing a Search

Dennis Freeman

Feb 4, 2013

 · 

2488 views

video-img
01:20:08

Lecture 2: Primitives, Combination, Abstraction, and Patterns

Dennis Freeman

Feb 4, 2013

 · 

3336 views

video-img
01:17:34

Lecture 1: Object-Oriented Programming

Dennis Freeman

Feb 4, 2013

 · 

20713 views

video-img
01:18:13

Lecture 7: Circuits

Dennis Freeman

Feb 4, 2013

 · 

3103 views

video-img
01:19:27

Lecture 8: Op-Amps

Dennis Freeman

Feb 4, 2013

 · 

4676 views

video-img
01:17:48

Lecture 10: Discrete Probability and State Estimation

Dennis Freeman

Feb 4, 2013

 · 

2570 views

video-img
01:19:43

Lecture 3: Signals and Systems

Dennis Freeman

Feb 4, 2013

 · 

5137 views

video-img
01:08:05

Lecture 12: Search Algorithms

Dennis Freeman

Feb 4, 2013

 · 

2680 views