EdX
Embark on an in-depth exploration of linear equations and systems of linear equations with this introductory course to Linear Algebra. Designed for beginners, this course offers a solid foundation in understanding key concepts such as matrices, vectors, and linear transformations, all taught by experts from The Georgia Institute of Technology.
EdX
Expand your understanding of Linear Algebra by exploring Matrix Algebra II. This course is a continuation from Linear Algebra I, focusing on advanced topics such as matrix operations, invertible matrices, and their application in solving complex systems of linear equations. Perfect for those who have already mastered the basics and are eager to dive deeper into the subject.
EdX
Dive into the intricate world of Quantum Computer Systems Design III, where you'll learn essential techniques for working with noisy quantum systems. This course equips you with advanced knowledge using IBM's Qiskit software to write and run quantum programs on accessible quantum hardware.
Coursera
Dive into the core principles of Linear Algebra that are pivotal in Machine Learning and Data Science with this comprehensive online course. Learn to represent and analyze data using vectors and matrices, apply essential operations like dot products and inverses, and explore linear transformations and eigenvalues/eigenvectors for advanced problem-solving.
EdX
Refresh your knowledge or learn from scratch about vectors, matrices, and linear equations with this beginner-friendly linear algebra course. Designed for students and professionals seeking a strong mathematical foundation, this course will equip you with the necessary skills to tackle more advanced topics in various fields such as physics, computer science, and engineering.
EdX
Dive into the advanced concepts of Linear Algebra II, focusing on matrices and linear transformations. This course is designed for those looking to deepen their knowledge in mathematics, refresh their skills, or prepare for higher-level studies in science and engineering fields. Gain a strong grasp of essential topics such as matrix operations, eigenvalues, and linear transformations.
Coursera
Embark on an exciting journey into the world of advanced robotics with 'Robotic Mapping and Trajectory Generation'. This course is designed for those who want to delve deeper into the intricacies of robotic systems, focusing on mapping techniques and trajectory planning. Learn how to perform complex tasks such as inverse kinematics and control feedback, and master the art of processing multi-dimensional sensor data like laser range scanners. Gain insights into modeling uncertainties in mechanisms and sensors, and learn effective strategies for controlling them.
Coursera
Discover the basics of robotic navigation and control with 'Basic Robotic Behaviors and Odometry'. This course introduces you to the principles behind autonomous mobile robots, including essential concepts like odometry, sensors, actuators, and reactive behaviors. Gain practical experience using the Webots simulator for a hands-on approach to understanding how simple robots navigate their environments.
Coursera
Dive into the world of linear algebra with our introductory course, designed to equip you with the foundational knowledge needed to tackle linear systems and matrix equations. Whether you're a student, engineer, or scientist, this course will provide you with essential skills for solving real-life problems through mathematical principles.