Courses tagged with "Engineering" (357)

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Starts : 2014-01-20
106 votes
Coursera Free Closed [?] Computer Sciences English Artificial Intelligence Computer Science Engineering

Learn about how to make mobile robots move in effective, safe, predictable, and collaborative ways using modern control theory.

Starts : 2014-01-21
No votes
Stanford Online. OpenEdX Free Closed [?] Computer Sciences Engineering OpenEdX Stanford

A graduate level course on convex optimization, with applications in signal processing, machine learning, control, finance, and other areas.

Starts : 2015-05-18
No votes
Coursera Free Closed [?] English Business & Management Economics & Finance Engineering Information Social Sciences Tech & Design

Creativity is an acquired skill that improves with practice. Creativity changes the world and enriches people’s lives. It takes two skills: “discovery” - discovering new ideas, and “delivery” – implementing ideas, using proven tools and methods. This course, on “discovery”, will provide proven tools that will help you discover an endless stream of creative ideas.

Starts : 2014-07-14
30 votes
Coursera Free Closed [?] Business English Artificial Intelligence Arts Audio Biology & Life Sciences Business & Management Chemistry

Let’s make history together - again! 让我们再一次创造历史!

Starts : 2014-07-15
No votes
Class2Go Free Closed [?] Computer Sciences Engineering Stanford

Introduction to Computer Science for a zero-prior-experience audience. Play with little phrases of code to understand what computers are all about.

Starts : 2014-11-03
No votes
Class2Go Free Closed [?] Computer Sciences Engineering Stanford

This course discusses ideas in the implementation of compilers. Learn how a program for humans is translated into a program more suited to machines!

5 votes
Saylor.org Free Closed [?] Engineering Computer Architecture Computer Science Systems & Security Technology

Modern computer technology requires an understanding of both hardware and software, as the interaction between the two offers a framework for mastering the fundamentals of computing. The purpose of this course is to cultivate an understanding of modern computing technology through an in-depth study of the interface between hardware and software. In this course, you will study the history of modern computing technology before learning about modern computer architecture and a number of its important features, including instruction sets, processor arithmetic and control, the Von Neumann architecture, pipelining, memory management, storage, and other input/output topics. The course will conclude with a look at the recent switch from sequential processing to parallel processing by looking at the parallel computing models and their programming implications.

Starts : 2014-01-21
No votes
Class2Go Free Closed [?] Computer Sciences Engineering Stanford

A graduate level course on convex optimization, with applications in signal processing, machine learning, control, finance, and other areas.

Starts : 2017-03-14
No votes
edX Free English Computer Science EdX Engineering UC3Mx

Are you tired of hearing that your computer has a virus? Or that your email account has been hacked? Now, is the time for you to protect yourself by understanding the basics of cyber security.

This computer science course presents an introduction to cyber security showing different aspects of this discipline. You will learn what the main existing cyber security threats are and how to protect yourself against them. The course presents a practical approach in which all required material will be provided to allow you to better understand attacks and establish appropriate countermeasures.

Taught by instructors with years of experience in the field of computer security, this course will pave the way to the security area of IT-related professions.

Starts : 2014-05-06
No votes
edX Free English Computer Science EdX Engineering UC BerkeleyX

EECS149.1x introduces students to the design and analysis of cyber-physical systems --- computational systems that are integrated with physical processes. Applications of such systems include medical devices and systems, consumer electronics, toys and games, assisted living, traffic control and safety, automotive systems, process control, energy management and conservation, environmental control, aircraft control systems, communications systems, instrumentation, critical infrastructure control (electric power, water resources, and communications systems for example), robotics and distributed robotics (telepresence, telemedicine), defense systems, manufacturing, and smart structures.

A major theme of the course is on the interplay of practical design with formal models of systems, including both software components and physical dynamics. A major emphasis will be on building high confidence systems with real-time and concurrent behaviors. Students will apply concepts learned in lectures to programming a robotic controller in a specially-designed virtual laboratory environment with built-in automatic grading and feedback mechanisms.

This edX course is an online adaptation of the UC Berkeley undergraduate course EECS 149, covering a subset of topics that are especially relevant for the lab component of that class.

Starts : 2013-07-07
No votes
edX Free English Biology & Life Sciences Business & Management Chemistry Computer Science Data Analysis & Statistics Economics & Finance

This brief course is designed to show new students how to take a course on edX. You will learn how to navigate the edX platform and complete your first course! From there, we will help you get started choosing the course that best fits your interests, needs, and dreams.

Have questions before taking the demo course? Check our student FAQs.

Starts : 2015-04-20
317 votes
Coursera Free Popular Visual & Performing Arts English Arts Business & Management Engineering Information Tech & Design

Combine fundamental concepts with hands-on design challenges to become a better designer.

Starts : 2014-09-14
No votes
Coursera Free Closed [?] Engineering English Business & Management Information Tech & Design

The course explores visionary and practical concepts of city design and planning, past and present, and how design can address such looming challenges as urban population growth, climate change and rising sea levels. Participants will be encouraged to make proposals for city design and development, starting with their own immediate environment.

No votes
Coursera Free English Engineering Information Tech & Design

Designing technologies that facilitate learning. Beyond usability, technology for learning has to engage, trigger prior knowledge, prompt for reflection, maintain a balance between too much cognitive load and too little challenge, and scaffold the development of skills.

Starts : 2017-01-12
No votes
edX Free English Computer Science EdX Engineering IMTx

Every business today depends on connectivity, and now there is increasing demand for engineers who can design, develop and manage data networks – and keep them secure as well.

This applied computer science MOOC will give you the hands-on know-how to master the network technologies used every day to communicate and access information via the web and phones.

You’ll learn the vocabulary, concepts and mechanisms common to all digital networks, and explore the TCP, UDP and IP protocols that support all online communications.

You’ll also see how a global network is organized and how its components work together, and understand the importance of standards and protocols. This course is designed for students or professionals with a background in science or computing.

Practical coursework is carried out in a Unix virtual environment that can be installed on any modern computer.

Sign up now and sharpen up your network knowledge!

Starts : 2015-10-19
100 votes
Coursera Free Engineering English Artificial Intelligence Computer Science Mathematics

Learn the fundamentals of digital signal processing theory and discover the myriad ways DSP makes everyday life more productive and fun.

Starts : 2013-01-15
11 votes
NPTEL Free Computer Sciences Engineering

The course introduces you to digital circuits and their merits and demerits over analog circuits. Basic building blocks of both combinational and sequential circuits or introduces and many examples of circuit design using these building blocks are presented. You will also be introduced to the design of digital systems such as traffic light controller.

Starts : 2015-02-09
No votes
Coursera Free Closed [?] Computer Sciences English Engineering Information Tech & Design

El curso es bilingüe español-inglés, con videos y materiales en ambos idiomas. Lectures and materials are provided both in Spanish and English.

Starts : 2015-02-04
No votes
edX Free English Computer Science Data Analysis & Statistics EdX Electronics Engineering RiceX

Technological innovations have revolutionized the way we view and interact with the world around us. Editing a photo, re-mixing a song, automatically measuring and adjusting chemical concentrations in a tank: each of these tasks requires real-world data to be captured by a computer and then manipulated digitally to extract the salient information. Ever wonder how signals from the physical world are sampled, stored, and processed without losing the information required to make predictions and extract meaning from the data?

Students will find out in this rigorous mathematical introduction to the engineering field of signal processing: the study of signals and systems that extract information from the world around us. This course will teach students to analyze discrete-time signals and systems in both the time and frequency domains. Students will learn convolution, discrete Fourier transforms, the z-transform, and digital filtering. Students will apply these concepts in interactive MATLAB programming exercises (all done in browser, no download required).

Part 1 of this course analyzes signals and systems in the time domain. Part 2 covers frequency domain analysis.

Prerequisites include strong problem solving skills, the ability to understand mathematical representations of physical systems, and advanced mathematical background (one-dimensional integration, matrices, vectors, basic linear algebra, imaginary numbers, and sum and series notation). Part 1 is a prerequisite for Part 2. This course is an excerpt from an advanced undergraduate class at Rice University taught to all electrical and computer engineering majors.

Starts : 2015-03-18
No votes
edX Free English Computer Science Data Analysis & Statistics EdX Electronics Engineering RiceX

Technological innovations have revolutionized the way we view and interact with the world around us. Editing a photo, re-mixing a song, automatically measuring and adjusting chemical concentrations in a tank: each of these tasks requires real-world data to be captured by a computer and then manipulated digitally to extract the salient information. Ever wonder how signals from the physical world are sampled, stored, and processed without losing the information required to make predictions and extract meaning from the data?

Students will find out in this rigorous mathematical introduction to the engineering field of signal processing: the study of signals and systems that extract information from the world around us. This course will teach students to analyze discrete-time signals and systems in both the time and frequency domains. Students will learn convolution, discrete Fourier transforms, the z-transform, and digital filtering. Students will apply these concepts in interactive MATLAB programming exercises (all done in browser, no download required).

Part 1 of this course analyzes signals and systems in the time domain. Part 2 covers frequency domain analysis.

Prerequisites include strong problem solving skills, the ability to understand mathematical representations of physical systems, and advanced mathematical background (one-dimensional integration, matrices, vectors, basic linear algebra, imaginary numbers, and sum and series notation). Part 1 is a prerequisite for Part 2. This course is an excerpt from an advanced undergraduate class at Rice University taught to all electrical and computer engineering majors.