Matrix Methods in Data Analysis, Signal Processing, and Machine Learning

This course focuses on learning several rules to improve speaking skills in important situations. Learners can master effective presentation methods for various contexts, such as interviews, thesis defenses, and oral exams.

This course covers the basics and applications of the latest artificial intelligence technologies. Learners can develop problem-solving skills through AI principles and various use cases.

This course is an introduction to the dynamics and vibrations of lumped-parameter models of mechanical systems. Learners will study kinematics, force-momentum formulations, and work-energy concepts.

This course covers the fundamental principles of biochemistry, genetics, molecular biology, and cell biology. In particular, you will learn about biological functions at the molecular level, as well as the structure and regulation of genes and proteins.

This course covers the foundations of calculus, primarily including content taught in introductory calculus courses for freshmen. It allows learners to review core concepts of calculus and provides useful materials even for students learning it for the first time.

In this course, students learn the complexities of developing video games in small, multidisciplinary teams. They will master creative design and production methods, and learn how to design, develop, and thoroughly test their own digital games in collaboration with team members.

This course introduces the fundamentals of quantum mechanics for chemists. Learners will explore various topics, including particles and waves, wave mechanics, and semi-classical quantum mechanics.

This course introduces the basic concepts of microeconomics, covering supply and demand analysis, theories of firm and individual behavior, competition and monopoly, and welfare economics. Additionally, you will learn about the application of microeconomics to address current economic policy issues.

This is an intermediate algorithm course that focuses on efficient algorithm design and analysis techniques. Learners will master various algorithm design paradigms, such as divide and conquer, dynamic programming, and greedy algorithms.

This course covers differentiation, integration, and vector calculus for multivariable functions. These mathematical tools and methods are used extensively in the physical sciences, engineering, economics, and computer graphics.

This course introduces major approaches to symbol-based music theory and musicology. Learners will explore various topics, including music theory algorithms, music generation, and machine learning.

This course introduces the mathematical modeling of computational problems. It covers common algorithms, algorithmic paradigms, and the data structures used to solve these problems.

This course provides an interactive introduction to discrete mathematics for computer science and engineering. Learners will study fundamental mathematical concepts, discrete structures, and discrete probability theory, developing the ability to apply these to various fields of computer science.

In this course, you will learn the basics of photography and gain an exciting new perspective on the visual world. While the focus is on science and engineering photography, most of the content can be easily applied to other types of macro photography.

This course covers differential equations and the MATLAB® ODE suite in depth. Learners can understand the principles and applications of differential equations and develop problem-solving skills using MATLAB.

The _Fundamentals of Biology_ course covers the basic principles of biochemistry, molecular biology, genetics, and recombinant DNA. This course provides the biological knowledge necessary to understand the fundamental mechanisms of life.

This course emphasizes the structural principles of digital systems and introduces architectures commonly applied across various technologies. Learners will cover a wide range of topics, including multi-level implementation strategies, the definition and mechanisms of new primitive elements, and performance measurement.

In this course, students will learn the concepts of vibrations and waves and master the methods for mathematically explaining phenomena occurring in various physical systems. Students will explore topics such as mechanical vibrations, sound waves, electromagnetic waves, optics, and gravitational waves.

This course covers the tools of probability theory and statistical inference, providing essential content for data analysis and understanding. Learners can acquire methods for utilizing data in various fields.

This course helps you learn core concepts in Science, Technology, Engineering, and Mathematics (STEM). Through these concepts, students will build a foundation to understand and master more challenging content.

This course covers differential equations and the MATLAB® ODE suite in depth. Learners can understand the principles and applications of differential equations and develop problem-solving skills using MATLAB.

This course covers differentiation, integration, and vector calculus for multivariable functions. These mathematical tools and methods are used extensively in the physical sciences, engineering, economics, and computer graphics.

This is a lecture where you can easily learn important mathematical concepts used in games. People who are well-versed in mathematics take this knowledge for granted, so they cannot teach it assuming you know nothing. I explain from a beginner's perspective, truly assuming you are a non-major.

Introducing AI entry-level study methods for undergraduates.