
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...
See MoreFree 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...
See MoreLinear 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...
See MoreLearning 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...
See MoreSystems modeling and representations (French)
Complete course on systems modeling. Includes examples, MATLAB code, and quizzes.
See MoreAdvances 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...
See MoreRADAR 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...
See MoreIntroduction 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...
See MoreProcess 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...
See MoreFull 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...
See MoreRadar 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...
See MoreNo! 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...
See MoreCS224n: 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...
See MoreedX 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...
See MoreMath 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...
See MoreReinforcement 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...
See MoreYann 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...
See MoreInteractive 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...
See MoreModelling, 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...
See MoreEssence of Linear Algebra: Understand the Geomterical Beauty in Linear Algeb...
Linear Algebra is a very important and fundamental topic needed in almost every field of STEM. While the linear part of it is easy to understand and perform operations on, the geometric...
See MoreMachine Learning Course by Andrew Ng
A very comprehensive and detailed course in machine learning , best suited for beginners with knowledge of high school linear mathematics.
See MoreTeaching resources for a reinforcement learning course
Teaching resources by Dimitri P. Bertsekas for reinforcement learning courses. The website has links for freely available textbooks (for instructional purposes), videolectures, and course...
See MoreBasic Control Lectures
Systems approach, understanding and describing the operation of systems and methods of controlling them are among the basic knowledge of engineering education. But understanding the main...
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