Stanford Engineering Everywhere: CS223A - Introduction to Robotics

The purpose of this course is to introduce you to basics of modeling, design, planning, and control of robot systems. In essence, the material treated in this course is a brief survey of...

Free Video Course in Radar Systems Engineering

This Free Radar Systems Engineering Course (video, audio and screen captured ppt slides) and separate pdf slides) has been developed as a first course in Radar Systems for first year...

Linear Algebra Review

This short course is a quick review of linear algebra, intended for students who have already taken a previous course in linear algebra or have some experience with vectors and matrices. The...

RADAR Engineering

Radar technology is used widely today. The principles involved are very fundamental and every engineering student studies them at least once. This playlist covers Radar Engineering for an EE...

Systems modeling and representations (French)

Complete course on systems modeling. Includes examples, MATLAB code, and quizzes.

Learning From Data

This is an introductory course in machine learning (ML) that covers the basic theory, algorithms, and applications. ML is a key technology in Big Data, and in many financial, medical...

Advances in Feedforward Control for Measurable Disturbances (slides)

These slides present several contributions to improve the feedforward control approaches when inversion problem arise:  the ideal compensator may not be realizable due to negative delay...

Yann LeCun’s Deep Learning Course at CDS

This course concerns the latest techniques in deep learning and representation learning, focusing on supervised and unsupervised deep learning, embedding methods, metric learning...

Process Dynamics and Control Course

This course focuses on a complete start to finish process of physics-based modeling, data driven methods, and controller design. Although some knowledge of computer programming is required...

edX course: Dynamics and Control

This is an interactive course about the basic concepts of Systems, Control and their impact in all the human activities. First, the basic concepts of systems, dynamics, structure and control...

Full Stack Deep Learning

There are many great courses to learn how to train deep neural networks. However, training the model is just one part of shipping a deep learning project. This course teaches full-stack...

No! Not Laplace Transforms

In my 13-year industrial career, I never used Laplace transforms.  However, transfer functions and block diagram notation are efficient methods to describe dynamic behaviors, and are often...

Interactive Course for Control Theory

Control Theory is a topic that finds a widespread application throughout engineering and natural sciences. It is very common in electrical, mechanical and process engineering. Especially...

Introduction to Radar Systems: Target Radar Cross Section

This course is presented by Robert M. O'Donnell, a former researcher at MIT Lincoln Laboratory, and is designed to instill a basic working knowledge of radar systems.

The set of 10 lectures...

CS224n: Natural Language Processing with Deep Learning | Winter 2021

This course covers the foundations of the effective modern methods for deep learning applied to NLP, a big picture understanding of human languages and the difficulties in understanding and...

Modelling, dynamics and control

How do we model the world around us and use this to understand its behaviour? How does behaviour depend upon the engineering choices we make and therefore how do we undertake design to...

Math Background for Machine Learning from Carnegie Melon University

This course provides a place for students to practice the necessary mathematical background for further study in machine learning — particularly for taking 10-601 and 10-701. Topics covered...

Radar Systems Engineering Lecture 4: The Radar Equation

This Free Radar Systems Engineering Course (video, audio and screen captured ppt slides) and separate pdf slides) has been developed as a first course in Radar Systems for first year...

Reinforcement Learning with MATLAB.

This repository contains series of modules to get started with Reinforcement Learning with MATLAB.

It is divided into 4 stages.

In Stage 1, we start with learning RL concepts by manually...

TikZ source Code: Both passivity indices applied

TikZ source Code: Both passivity indices applied.

TikZ source Code: Example Graph

TikZ source Code: Example Graph

TikZ source Code: Feedback systems

TikZ source Code: Feedback systems

TikZ source Code: Simulation Graph

TikZ source Code: Simulation Graph

TikZ source Code: An interconnection of MIMO subsystems

TikZ source Code: An interconnection of MIMO subsystems

TikZ source Code: Switching Smooth Filippov

TikZ source Code: Switching Smooth Filippov