Introduction to Electrical Engineering and Computer Science I

Teacher

Course Description

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.

Course Format

This course has been designed for independent study. It includes all of the materials you will need to understand the concepts covered in this subject. The materials in this course include:

Lecture videos from Spring 2011, taught by Prof. Dennis Freeman
Recitation videos, developed for OCW Scholar by teaching assistant Kendra Pugh
Course notes
Software and design labs
Homework assignments and additional exercises
Nano-quizzes and exams with solutions

Prerequisites

At MIT, 6.01 has no formal prerequisites. Students are expected to take 8.02 Physics II: Electricity and Magnetism as a co-requisite.

This OCW Scholar course will be most useful to students with the following background and skills:

Mathematics
- Sequences and series, some trigonometry (for poles)
- No extensive skill with calculus is required, but students should understand that velocity is the derivative of position, and be able to estimate the velocity of an object from a graph of its position.
Programming
- Some programming experience is good, but not necessarily required. The Python Tutorial is designed to get students up to speed with Python, while a course like 6.189 A Gentle Introduction to Programming Using Python may be useful for students will little or no programming experience.
Physics
- Some exposure to solving basic circuits: Ohm’s law, passive components (such as resistors and capacitors), reducing a circuit to a system of linear equations.

Course Features

Lectures 11
Quizzes 1
Students 463
Assessments Yes

Lectures by Dennis Freeman 12
- Lecture1.1
  
  Lecture 1: Object-Oriented Programming 01 hour 17 min
- Quiz1.1
  
  Quiz 1 2 questions
- Lecture1.2
  
  Lecture 2: Primitives, Combination, Abstraction, and Patterns 01 hour 20 min
- Lecture1.3
  
  Lecture 3: Signals and Systems 01 hour 19 min
- Lecture1.4
  
  Lecture 5: Characterizing System Performance 01 hour 18 min
- Lecture1.5
  
  Lecture 6: Designing Control Systems 01 hour 14 min
- Lecture1.6
  
  Lecture 7: Circuits 01 hour 18 min
- Lecture1.7
  
  Lecture 8: Op-Amps 01 hour 18 min
- Lecture1.8
  
  Lecture 9: Circuit Abstractions 01 hour 11 min
- Lecture1.9
  
  Lecture 10: Discrete Probability and State Estimation 01 hour 17 min
- Lecture1.10
  
  Lecture 12: Search Algorithms 01 hour 08 min
- Lecture1.11
  
  Lecture 13: Optimizing a Search 01 hour 03 min

Tesla Edison

Tesla is an Electrical Engineer, Physicist and an Inventor in making. He is a good writer and author of many courses and articles published in this site.