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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Computing Foundations for Computational Science

Computation has long been an important tool for scientists, but the...

Computation has long been an important tool for scientists, but the...

6.00.2x: Introduction to Computational Thinking and Data Science

An introduction to using computation to understand real-world phenomena. About...

An introduction to using computation to understand real-world phenomena. About...

AUTONAVx: Autonomous Navigation for Flying Robots

In this course, we will introduce the basic concepts for autonomous navigation...

In this course, we will introduce the basic concepts for autonomous navigation...

6.00.1x: Introduction to Computer Science and Programming Using Python

6.00.1x is an introduction to computer science as a tool to solve real-world...

6.00.1x is an introduction to computer science as a tool to solve real-world...

Computer System Engineering

This course covers topics on the engineering of computer software and hardware...

This course covers topics on the engineering of computer software and hardware...

还有标题«计算机科学»:

Cloud Computing Security

Learn how to identify security issues in the cloud and industry-standard techniques...

Learn how to identify security issues in the cloud and industry-standard techniques...

Statistical Analysis in Bioinformatics

Learn basic R programming to analyze biological big data to locate genes, perform...

Learn basic R programming to analyze biological big data to locate genes, perform...

Formal Software Verification

Learn software quality techniques beyond just running test cases. Want to gain...

Learn software quality techniques beyond just running test cases. Want to gain...

Network Security - Protocols

Learn more fundamentals of network security, including cryptographic algorithms...

Learn more fundamentals of network security, including cryptographic algorithms...

Network Security - Advanced Topics

Learn advanced topics in network security, including Security Monitoring, Perimeter...

Learn advanced topics in network security, including Security Monitoring, Perimeter...

还有MIT OpenCourseWare:

Introduction to Computers and Engineering Problem Solving

This course presents the fundamentals of object-oriented software design and...

This course presents the fundamentals of object-oriented software design and...

Uncertainty in Engineering

This course gives an introduction to probability and statistics, with emphasis...

This course gives an introduction to probability and statistics, with emphasis...

Project Evaluation

1.011 Project Evaluation covers methodologies for evaluating civil engineering...

1.011 Project Evaluation covers methodologies for evaluating civil engineering...

Introduction to Civil Engineering Design

1.012 introduces students to the theory, tools, and techniques of engineering...

1.012 introduces students to the theory, tools, and techniques of engineering...

Computing and Data Analysis for Environmental Applications

This subject is a computer-oriented introduction to probability and data analysis...

This subject is a computer-oriented introduction to probability and data analysis...

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