Engineering & Robotics

Control theory, dynamical systems, signal processing, convex optimization, robotics, and electrical engineering.

7 courses · 104 standalone talks · 333 total lectures

All Engineering Signal Processing & Robotics (136)Control & Dynamical Systems (113)Complex Systems & Scaling (57)Linear Algebra (46)Convex Optimization (38)Calculus & Analysis (25)Algorithms & Data Structures (23)Computer Architecture (16)Behavioral & Evolutionary Biology (15)science (12)

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The Fourier Transforms and its Applications (EE 261): Lecture 2

The Fourier Transforms and its Applications (EE 261): Lecture 2

Mathematics·Standalone Lecture · Brad Osgood · Stanford University

Brad Osgood Stanford University

52:57

Terence Tao on Yves Meyer's Wavelets: The Abel Prize 2017

Terence Tao on Yves Meyer's Wavelets: The Abel Prize 2017

Engineering·Public Colloquium · Terence Tao · University of California, Los Angeles (UCLA)

Terence Tao University of California, Los Angeles (UCLA)

30:17

Control Bootcamp: Overview

Control Bootcamp: Overview

ME 564 · Lec 1 · Steve Brunton · University of Washington

Steve Brunton University of Washington

19:31

Lecture 15: Chaotic Waterwheel (MAE 5790)

Lecture 15: Chaotic Waterwheel (MAE 5790)

MAE 5790 · Lec 15 · Steven Strogatz · Cornell University

Steven Strogatz Cornell University

1:14:12

What is the Fourier Transform? A Visual Introduction

What is the Fourier Transform? A Visual Introduction

Mathematics·Standalone Lecture · Grant Sanderson · 3Blue1Brown

Grant Sanderson 3Blue1Brown

19:41

Koopman Operator Theory and Linear Representations of Nonlinear Dynamics

Koopman Operator Theory and Linear Representations of Nonlinear Dynamics

Mathematics·Research Seminar · Steve Brunton · University of Washington

Steve Brunton University of Washington

31:31

Mathematical Excursions Inspired by Materials Science

Mathematical Excursions Inspired by Materials Science

Mathematics·Research Seminar · Peter Bates · Michigan State University

Peter Bates Michigan State University

1:00:45

Operator Learning in Theory and Practice

Operator Learning in Theory and Practice

Mathematics·Research Seminar · Nikola Kovachi · NVIDIA / New York University

Nikola Kovachi NVIDIA / New York University

49:23

First-order Autonomous ODEs: Qualitative Methods and Applications (MIT 18.03 Differential Equations, Lecture 5)

First-order Autonomous ODEs: Qualitative Methods and Applications (MIT 18.03 Differential Equations, Lecture 5)

18.03 · Lec 5 · Arthur Mattuck · MIT

Arthur Mattuck MIT

45:46

Lyapunov Analysis I (MIT 6.8210, Lecture 7)

Lyapunov Analysis I (MIT 6.8210, Lecture 7)

6.832 · Lec 7 · Russ Tedrake · MIT

Russ Tedrake MIT

1:20:44

Lecture 4: Noise Stability and Arrow's Theorem (15-859)

Lecture 4: Noise Stability and Arrow's Theorem (15-859)

15-859 · Lec 4 · Ryan O'Donnell · Carnegie Mellon University

Ryan O'Donnell Carnegie Mellon University

1:21:16

Lecture 20: Majority Is Stablest Theorem (15-859)

Lecture 20: Majority Is Stablest Theorem (15-859)

15-859 · Lec 20 · Ryan O'Donnell · Carnegie Mellon University

Ryan O'Donnell Carnegie Mellon University

1:16:42

Lecture 19: Stochastic dynamics (6.832)

Lecture 19: Stochastic dynamics (6.832)

6.832 · Lec 19 · Russ Tedrake · MIT

Russ Tedrake MIT

1:18:38

Lecture 18: Sampling-based (kinodynamic) motion planning (6.832)

Lecture 18: Sampling-based (kinodynamic) motion planning (6.832)

6.832 · Lec 18 · Russ Tedrake · MIT

Russ Tedrake MIT

1:20:47

Lecture 3: Subgradient Methods (EE364B)

Lecture 3: Subgradient Methods (EE364B)

EE364a · Lec 22 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:14:45

Lecture 2: Subgradients Continued (EE364B)

Lecture 2: Subgradients Continued (EE364B)

EE364a · Lec 21 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:07:27

Lecture 1: Subgradients (EE364B)

Lecture 1: Subgradients (EE364B)

EE364a · Lec 20 · Stephen Boyd · Stanford University

Stephen Boyd Stanford University

1:01:37

3. Orthonormal Columns in Q Give Q'Q = I

3. Orthonormal Columns in Q Give Q'Q = I

18.065 · Lec 3 · Gilbert Strang · MIT

Gilbert Strang MIT

49:24

Lecture 10: LTFs and Noise Stability (15-859)

Lecture 10: LTFs and Noise Stability (15-859)

15-859 · Lec 10 · Ryan O'Donnell · Carnegie Mellon University

Ryan O'Donnell Carnegie Mellon University

1:18:29

Controllability [Control Bootcamp]

Controllability [Control Bootcamp]

ME 564 · Lec 5 · Steve Brunton · University of Washington

Steve Brunton University of Washington

32:29

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