Matrix Algebra for Engineers
This course provides an introduction to matrix algebra for engineers, covering the linear algebra fundamentals necessary for success. It is designed for those who have completed a university-level single variable calculus course, but is open to anyone interested in learning the basics of matrix algebra. The mathematics is presented at an advanced high school level, requiring a basic level of mathematical maturity. ▼
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Course Feature
Cost:
Free
Provider:
Coursera
Certificate:
Paid Certification
Language:
English
Start Date:
4th Sep, 2023
Course Overview
❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [March 06th, 2023]
Learners can learn the basics of matrix algebra from this course. It covers linear algebra topics such as matrix operations, matrix inverses, linear systems of equations, and eigenvalues and eigenvectors. The course is designed for advanced high school students, but anyone interested in learning the basics of matrix algebra is welcome to join. The course consists of 38 concise lecture videos, each followed by a few problems to solve. After each major topic, there is a short practice quiz. Solutions to the problems and practice quizzes can be found in the instructor-provided lecture notes. At the end of each week, there is an assessed quiz. Learners can also download the lecture notes and watch the promotional video to get a better understanding of the course.
[Applications]
Upon completion of this course, students will have a strong understanding of matrix algebra and its applications. They will be able to use matrices to solve linear equations, calculate determinants, and perform matrix operations. This knowledge can be applied to a variety of engineering fields, such as electrical engineering, mechanical engineering, and computer engineering. Additionally, students will be able to use matrices to solve problems in physics, economics, and other areas of mathematics.
[Career Paths]
1. Data Scientist: Data Scientists use matrix algebra to analyze large datasets and uncover patterns and trends. They use their knowledge of linear algebra to develop algorithms and models that can be used to make predictions and decisions. As data science becomes more prevalent in the workplace, the demand for data scientists is expected to increase.
2. Machine Learning Engineer: Machine Learning Engineers use matrix algebra to develop and optimize machine learning algorithms. They use their knowledge of linear algebra to design and implement algorithms that can be used to make predictions and decisions. As machine learning becomes more prevalent in the workplace, the demand for machine learning engineers is expected to increase.
3. Robotics Engineer: Robotics Engineers use matrix algebra to design and develop robots. They use their knowledge of linear algebra to create algorithms and models that can be used to control the motion of robots. As robotics technology becomes more prevalent in the workplace, the demand for robotics engineers is expected to increase.
4. Artificial Intelligence Engineer: Artificial Intelligence Engineers use matrix algebra to develop and optimize artificial intelligence algorithms. They use their knowledge of linear algebra to design and implement algorithms that can be used to make predictions and decisions. As artificial intelligence becomes more prevalent in the workplace, the demand for artificial intelligence engineers is expected to increase.
[Education Paths]
1. Bachelor of Science in Engineering: A Bachelor of Science in Engineering is a four-year degree program that provides students with a comprehensive understanding of engineering principles and practices. Students learn about the design, development, and implementation of engineering solutions to real-world problems. This degree is ideal for those interested in pursuing a career in engineering, as it provides a strong foundation in mathematics, physics, and engineering fundamentals. Additionally, this degree is becoming increasingly popular due to the growing demand for engineers in the industry.
2. Master of Science in Engineering: A Master of Science in Engineering is a two-year degree program that provides students with an advanced understanding of engineering principles and practices. Students learn about the design, development, and implementation of engineering solutions to complex problems. This degree is ideal for those interested in pursuing a career in engineering, as it provides a strong foundation in mathematics, physics, and engineering fundamentals. Additionally, this degree is becoming increasingly popular due to the growing demand for engineers in the industry.
3. Doctor of Philosophy in Engineering: A Doctor of Philosophy in Engineering is a four-year degree program that provides students with an in-depth understanding of engineering principles and practices. Students learn about the design, development, and implementation of engineering solutions to complex problems. This degree is ideal for those interested in pursuing a career in engineering, as it provides a strong foundation in mathematics, physics, and engineering fundamentals. Additionally, this degree is becoming increasingly popular due to the growing demand for engineers in the industry.
4. Master of Engineering: A Master of Engineering is a two-year degree program that provides students with an advanced understanding of engineering principles and practices. Students learn about the design, development, and implementation of engineering solutions to complex problems. This degree is ideal for those interested in pursuing a career in engineering, as it provides a strong foundation in mathematics, physics, and engineering fundamentals. Additionally, this degree is becoming increasingly popular due to the growing demand for engineers in the industry, as well as the increasing demand for engineers with specialized skills.
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Quiz
Submitted Sucessfully
1. What is the recommended prerequisite for this course?
2. How many lecture videos are there in this course?
3. What type of assessment is there at the end of each week?
4. What is the link to the lecture notes?
Correct Answer: https://www.math.hkust.edu.hk/~machas/matrix-algebra-for-engineers.pdf
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