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 decisionmaking.
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
 Nanoquizzes 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 corequisite.
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 0
 Duration 10 weeks
 Skill level All levels
 Students 456
 Certificate No
 Assessments Yes

Lectures by Dennis Freeman
 Lecture 1: ObjectOriented Programming
 Lecture 2: Primitives, Combination, Abstraction, and Patterns
 Lecture 3: Signals and Systems
 Lecture 5: Characterizing System Performance
 Lecture 6: Designing Control Systems
 Lecture 7: Circuits
 Lecture 8: OpAmps
 Lecture 9: Circuit Abstractions
 Lecture 10: Discrete Probability and State Estimation
 Lecture 12: Search Algorithms
 Lecture 13: Optimizing a Search