Development Economics: Macroeconomics

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 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 the evolution of proofs in computer science, focusing on interactive proofs, multi-prover interactive proofs, and probabilistically checkable proofs. Learners will discover how to leverage cryptography to transform these advanced proof systems into computationally sound non-interactive arguments (SNARGs).

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 examines the choices and constraints regarding sources and uses of energy by households, firms, and governments through a number of frameworks to describe and explain behavior at various levels of aggregation. Examples include a wide range of countries, scope, settings, and analytical approaches.

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 explores how financial technology, or FinTech, is transforming the financial services industry through innovative technologies. Learners will study key trends such as AI, blockchain, and open APIs, gaining insights into the evolving market landscape and regulatory environment.

This course builds on the foundations of programming in Python, emphasizing computational thinking and data science principles. Learners will explore how computation can effectively solve real-world problems, empowering them to write functional programs for various applications.

This course delves into the essential concepts of matrix calculus, focusing on its applications in machine learning and large-scale optimization. Learners will explore techniques to understand and compute derivatives of matrices and their factorizations, enhancing their ability to tackle complex mathematical operations in modern computing.

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 covers the fundamentals of deep learning, including both theory and applications. Topics include neural net architectures (MLPs, CNNs, RNNs, graph nets, transformers), geometry and invariances in deep learning, backpropagation and automatic differentiation, learning theory and generalization in high dimensions, and applications to computer vision, natural language processing, and robotics.

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 covers elementary discrete mathematics for science and engineering, focusing on mathematical tools and proof techniques useful in computer science. Learners will explore topics such as logical notation, sets, relations, graph theory, state machines, and algorithms.

This course explores the fundamental principles of artificial intelligence, focusing on both theoretical concepts and practical applications. Learners will study algorithms, machine learning techniques, and the ethical implications of AI technologies.

This course equips learners with the essential knowledge and skills for teaching science and engineering at the college level. Participants will explore innovative teaching methods, engage in active learning, and develop their own teaching practices through research and presentations.

This course provides an introduction to chemical oceanography, focusing on the composition and dynamics of seawater and the biogeochemical cycles that shape oceanic environments. Learners will explore key concepts such as reservoir models, nutrient cycling, and the impact of human activities on ocean chemistry.

This course explores the integration of architectural design within natural landscapes, focusing on the relationship between built environments and their ecological contexts. Learners will develop skills in analyzing landscape and climate to inform their design decisions through drawings and models.

This course focuses on developing innovative information systems tailored for resource-poor settings, aiming to enhance health outcomes and strengthen organizational infrastructures. Learners will explore the intersection of public health, technology, and collaborative ecosystems to address healthcare challenges in developing countries.

This course is an introduction to the theory that tries to explain how minds are made from collections of simpler processes. It treats such aspects of thinking as vision, language, learning, reasoning, memory, consciousness, ideals, emotions, and personality.

This course provides an in-depth exploration of advanced topics in artificial intelligence, focusing on machine learning algorithms and their applications. Learners will study key concepts, techniques, and tools to develop AI solutions for real-world problems.

This course explores how financial technology, or FinTech, is transforming the financial services industry through innovative technologies. Learners will study key trends such as AI, blockchain, and open APIs, gaining insights into the evolving market landscape and regulatory environment.

This course provides a thorough introduction to key microeconomic issues in economic development. Learners will understand why some countries are poor and how markets function differently in poor economies.

This course analyzes the US-China currency hegemony competition, centered on dollar-based stablecoins and China's digital yuan. By systematically studying how changes in the global financial order in the digital currency era affect the domestic economy, financial markets, and individual asset strategies, it provides insights that can be immediately applied to practical work.

This course covers the basics of multivariable calculus, allowing learners to understand core calculus concepts and learn how to solve various problems.

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 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 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 builds on the foundations of programming in Python, emphasizing computational thinking and data science principles. Learners will explore how computation can effectively solve real-world problems, empowering them to write functional programs for various applications.

This course covers national environmental and energy policy-making, environmental ethics, and collaborative decision-making strategies. Learners will study various environmental analysis techniques and develop a personal theory of environmental planning practice.

This course reviews key genomic technologies and computational approaches that are transforming prognostics, diagnostics, and treatment in medicine. Learners will explore the intersection of genomics and patient care, including the ethical and social implications of personalized medicine.

This course covers the contributions of biochemistry to understanding the structure and function of organisms, tissues, and cells. Learners will explore the chemistry of biomolecules, enzymatic processes, and metabolic pathways essential for life.

This course provides a comprehensive overview of aircraft as integrated systems, emphasizing key aspects such as systems engineering, performance analysis, and lifecycle management. Learners will engage in practical case studies, including a detailed examination of the Space Shuttle's design and operations.

This course covers the basics of signals and systems analysis, focusing on methods for representing discrete-time and continuous-time signals, as well as linear time-invariant systems. Students can apply these theories to various application fields such as feedback, control, communications, and signal processing.

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.

Beyond the technical field of semiconductors, this book provides a multidimensional view of how a single company moves the world. Going beyond simple technical explanations, it analyzes why the United States, China, and Taiwan are clashing over semiconductors, and examines through real cases how TSMC created an overwhelming gap that dominates the market. Centered on founder Morris Chang's leadership and TSMC's success strategies, it offers an opportunity to understand technology and management in an integrated way.

This course focuses on developing innovative information systems tailored for resource-poor settings, aiming to enhance health outcomes and strengthen organizational infrastructures. Learners will explore the intersection of public health, technology, and collaborative ecosystems to address healthcare challenges in developing countries.