Fundamentals of Photovoltaics

This course covers matrix theory and linear algebra, emphasizing topics useful in other disciplines such as physics, economics, social sciences, natural sciences, and engineering. It parallels the combination of theory and applications in Professor Strang’s textbook Introduction to Linear Algebra.

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 delves into the essential poker and mathematical concepts necessary for mastering Texas Hold'em at a professional level. Learners will explore strategies and theories that elevate their gameplay and decision-making skills.

This course examines problems in the philosophy of film as well as literature studied in relation to their making of myths. The readings and films that are discussed in this course draw upon classic myths of the western world, emphasizing meaning and technique as the basis of creative value in both media.

This course explores systematic methods for developing major innovations that can drive a firm's success. Learners will engage with practical idea generation techniques and real-world case studies presented by industry experts.

This course covers essential mathematical concepts widely used in mechanical engineering, focusing on linear algebra and ordinary differential equations (ODEs). Learners will explore numerical methods for solving systems of equations and apply these techniques to real-world engineering problems.

This workshop introduces the principles of system dynamics through engaging simulations and discussions. Participants will explore how systems thinking can be applied to manage complexity in various organizational contexts.

This course explores the fundamental role of data structures in computer science, emphasizing their importance in developing efficient algorithms. Learners will study advanced topics, including dynamic graphs, memory hierarchy, and hashing, while engaging with current research directions in the field.

This course explores key questions surrounding tariffs, focusing on their implications and effects through theoretical and data-driven lenses. Learners will gain insights into the complexities of tariffs and their role in the economy.

This course is an interdisciplinary exploration of three broad topics concerning music in relation to time. Learners will study music as architecture, memory, and the philosophical and scientific perspectives on the temporal dimension of music.

This course assists undergraduates in learning the fundamentals of programming, with a specific focus on MATLAB®. Students will explore basic programming concepts and apply them to mathematical problems, enhancing their computational skills.

This course delves into the innovative realm of augmented reality audio design, focusing on the creation and evaluation of prototypes. Learners will investigate design possibilities while understanding the interplay between games and music, and the iterative nature of design processes.

This course explores the application of autonomy in real-world systems through the programming of cognitive robots. Learners will study advanced reasoning techniques and algorithms that enable robots to monitor themselves, schedule tasks, and collaborate with other agents.

This course focuses on the design and implementation of secure computer systems, exploring various threat models and security techniques. Learners will engage with topics such as operating system security, network protocols, and hardware security, drawing insights from recent research papers.

This course focuses on enhancing design skills, effective engineering practices, and impactful communication. Learners will explore design thinking methodologies to analyze and create innovative engineering solutions across various domains.

This course explores the art of improvisation in both solo and ensemble settings, examining its connections to composition and performance through various musical traditions. Students will engage in hands-on music-making while discussing the aesthetics of improvisation and learning from guest artists across diverse genres.

This course explores the intricacies of poker theory and the application of poker analytics in investment management and trading. Learners will delve into decision-making frameworks and strategies that can enhance their understanding of both poker and financial environments.

This course introduces the core theory of modern financial economics and financial management, focusing on capital markets and investments. Learners will explore asset valuation, capital budgeting, portfolio selection, and the efficient market hypothesis, among other key topics.

This course provides a comprehensive introduction to systems engineering, focusing on both classical and modern approaches. Learners will explore key concepts such as stakeholder analysis, requirements definition, system architecture, and design optimization, applying these principles to real-world projects.

This course explores significant contemporary debates in media, focusing on their economic, political, social, and cultural implications. Learners will engage in critical discussions about various media-related topics and develop the skills to analyze and understand the complex relationships within media systems.

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 introduces various approaches to studying animal behavior. You will learn key concepts of animal behavior, including learning, habitat selection, and reproductive behavior.

This course explores the mathematical concepts and techniques essential for the financial industry, blending theoretical mathematics with practical applications. Learners will study topics such as linear algebra, probability, statistics, and stochastic processes, guided by both MIT mathematicians and industry professionals.

This course is an introduction to computational biology emphasizing the fundamentals of nucleic acid and protein sequence and structural analysis; it also includes an introduction to the analysis of complex biological systems. Topics covered in the course include principles and methods used for sequence alignment, motif finding, structural modeling, structure prediction and network modeling, as well as currently emerging research areas.

This course presents an innovative approach to teaching linear algebra, focusing on key concepts and their interconnections. Learners will explore foundational topics and gain insights into the structure and applications of linear algebra through engaging video content.

This course covers the essential techniques for modeling and solving differential equations, which are fundamental in expressing the laws of nature. Learners will explore both the theoretical and practical aspects of differential equations, focusing on their applications in science and engineering.

This course covers key topics in discrete applied mathematics, focusing on counting, generating functions, probability, and more. Learners will engage with both mathematical concepts and effective communication through writing assignments.

This course covers essential mathematical concepts widely used in mechanical engineering, focusing on linear algebra and ordinary differential equations (ODEs). Learners will explore numerical methods for solving systems of equations and apply these techniques to real-world engineering problems.

This course introduces students to the mathematical concepts and techniques essential in the financial industry, blending theoretical mathematics with practical applications. Learners will explore topics such as probability, statistics, and linear algebra, all within the context of finance.

This course covers numerical methods essential for solving complex problems in chemical engineering, including heat and mass transfer, fluid mechanics, and molecular simulation. Learners will explore various computational techniques and their applications in real-world engineering scenarios.

This course introduces methods for harnessing data to answer questions of cultural, social, economic, and policy interest. Learners will study essential concepts in probability and statistics, along with modern data analysis techniques such as regression, econometrics, and data visualization.

This course introduces computational methods for solving physical problems, particularly in nuclear applications. Learners will study differential equations, numerical approximations, and various techniques for simulating particle behavior and conservation problems.

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.