Engineering Math: Differential Equations and 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 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 doctoral-level seminar delves into system dynamics modeling, emphasizing social, economic, and technical systems. Participants will engage with classic literature and contemporary research, critiquing and enhancing various models through hands-on projects.

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 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 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 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 provides a foundational introduction to artificial intelligence, covering essential concepts and practical applications. Learners will engage in interactive exercises to train their own algorithms and gain insights into the world of AI.

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.

This course offers an interdisciplinary perspective on the history and current landscape of nuclear weapons and non-proliferation policy. Learners will explore critical developments, dangers, and future prospects related to nuclear weapons.

This course equips learners with essential knowledge about climate change, covering its scientific, economic, and civic dimensions. Participants will engage in interactive activities designed to empower them as climate educators and advocates.

This program focuses on fostering innovation in substance use treatment and research. Participants will explore entrepreneurship and biomedical enterprise strategies to effectively bring their ideas to market.

This course explores various historical approaches used by twentieth-century historians, focusing on significant contributions to historiography and methodology. Learners will study how historians interpret their subjects, utilize primary sources, and construct narratives, gaining insights into the strengths and weaknesses of different historical methods.

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 examines traditional performances of the Arabic-speaking populations of the Middle East and North Africa, focusing on the interplay between culture, power, and politics. Learners will explore how performance art serves as a medium for expressing complex ideas and narratives, especially in the context of modernization.

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 first-year students to the New Engineering Education Transformation (NEET) program, focusing on cognitive approaches for solving complex challenges. Learners will engage in challenge-based learning to develop valuable problem-solving skills applicable in engineering and beyond.

This course offers a subset of material in Spanish from the course 16.660J (in English). Learners will explore the fundamentals of Lean thinking through practical and applicable concepts and tools.

This course explores the dynamic concept of Public Art and its role in shaping public spaces. Learners will engage in the creation of projects that reflect personal interpretations of public art, considering the socio-political implications and the evolving nature of monuments and interventions.

This course introduces the design of feedback control systems as applied to a variety of air and spacecraft systems. Learners will study key concepts such as stability, performance measures, and design methods essential for effective control system implementation.

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 delves into complex variables, differential equations, and linear algebra, providing a comprehensive understanding of these essential mathematical concepts. Learners will explore foundational theories and applications that are crucial for advanced studies in mathematics and engineering.

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 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 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 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 is a collection of tutorial videos that visually explore various topics in materials science and engineering. Learners will discover how to use the Wolfram Mathematica programming system to easily understand complex concepts.