Engineering Dynamics

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.

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

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.

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.

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 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 focuses on algorithms for analyzing and designing geometric folds. Students will learn about the reconfiguration of foldable structures, linkages and origami, and the unfolding and folding of 3D polyhedra.

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.

This course focuses on exploring and developing action plans to improve job and career opportunities for today's and future workforces. Students will understand the changing nature of work, corporate competitiveness, and how to update policies and practices.

This course focuses on learning the basics of experimental physics and gaining a deep understanding of the relationship between theory and experiment in atomic and molecular physics. Students will explore phenomena that have contributed to the development of modern physics through various experiments.

This course provides an in-depth study of the biochemical mechanisms that form the basis of biological processes. Learners will explore the workings of macromolecular machines such as ribosomes, proteasomes, and fatty acid synthases.

This course covers the scientific principles of quantitatively assessing the risk of airborne transmission of COVID-19. You can understand the factors of transmission in indoor spaces and their interactions.

This course covers the fundamental concepts of electromagnetism and teaches how to connect theories related to Maxwell's equations with actual physical phenomena. Students will come to understand physical meanings through the mathematical analysis of electromagnetics.

In this course, you will explore how matter is composed and why it behaves the way it does, learning how to understand the physical world through chemical intuition. Learners will gain an understanding of the electronic structure of matter and the various properties that arise from it.

Many developers say they have learned object-oriented programming. However, in reality, most only know the "syntax" of classes, inheritance, and polymorphism. This lecture is not a syntax explanation. ✔ Why did object-oriented programming emerge? ✔ What is an object, and why is 'responsibility' important? ✔ Why does polymorphism create scalable structures? ✔ How does object-oriented programming connect to computer science? I will summarize the "real object-oriented thinking" I felt while personally experiencing system design in just 30 minutes. Through this lecture, you will come to understand object-oriented programming not as a 'coding style,' but as a 'design strategy for controlling complexity.'