This course studies the relations of affect to cognition and behavior, feeling to thinking and acting, and values to beliefs and practices. These connections will be considered at the psychological level of organization and in terms of their neurobiological and sociocultural counterparts.

This course centers on mechanisms of civilian control of the military. Relying on the influential texts of Lasswell, Huntington, and Finer, the first classes clarify the basic tensions between the military and civilians. A wide-ranging series of case studies follows. These cases are chosen to create a field of variation that includes states with stable civilian rule, states with stable military influence, and states exhibiting fluctuations between military and civilian control. The final three weeks of the course are devoted to the broader relationship between military and society.

This course covers relations and functions, specifically, linear, polynomial, exponential, logarithmic, and rational functions. Additionally, sections on conics, systems of equations and matrices and sequences are also available.

This course analyzes the development of the United States Congress by focusing on the competing theoretical lenses through which legislatures have been studied. In particular, it compares sociological and economic models of legislative behavior, applying those models to floor decision-making, committee behavior, political parties, relations with other branches of the Federal government, and elections. Graduate students are expected to pursue the subject in greater depth through reading and individual research.

In this class, food serves as both the subject and the object of historical analysis. As a subject, food has been transformed over the last 100 years, largely as a result of ever more elaborate scientific and technological innovations. From a need to preserve surplus foods for leaner times grew an elaborate array of techniques – drying, freezing, canning, salting, etc – that changed not only what people ate, but how far they could/had to travel, the space in which they lived, their relations with neighbors and relatives, and most of all, their place in the economic order of things. The role of capitalism in supporting and extending food preservation and development was fundamental. As an object, food offers us a way into cultural, political, economic, and techno-scientific history. Long ignored by historians of science and technology, food offers a rich source for exploring, e.g., the creation and maintenance of mass-production techniques, industrial farming initiatives, the politics of consumption, vertical integration of business firms, globalization, changing race and gender identities, labor movements, and so forth. How is food different in these contexts, from other sorts of industrial goods? What does the trip from farm to table tell us about American culture and history?

This course explores the foundations of policy making in developing countries. The goal is to spell out various policy options and to quantify the trade-offs between them. We will study the different facets of human development: education, health, gender, the family, land relations, risk, informal and formal norms and institutions. This is an empirical class. For each topic, we will study several concrete examples chosen from around the world. While studying each of these topics, we will ask: What determines the decisions of poor households in developing countries? What constraints are they subject to? Is there a scope for policy (by government, international organizations, or non-governmental organizations (NGOs))? What policies have been tried out? Have they been successful?
MITx Online Version
This course is part of the Micromaster’s Program in Data, Economics, and Design of Policy through MITx Online. The course is entirely free to audit, though learners have the option to pay a fee, which is based on the learner’s ability to pay, to take the proctored exam, and earn a course certificate. To access the course, create an MITx Online account and enroll in the course 14.740x Foundations of Development Policy.

This is an introductory course in Discrete Mathematics oriented toward Computer Science and Engineering. The course divides roughly into thirds:

Fundamental Concepts of Mathematics: Definitions, Proofs, Sets, Functions, Relations
Discrete Structures: Modular Arithmetic, Graphs, State Machines, Counting
Discrete Probability Theory

A version of this course from a previous term was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 5512 (Mathematics for Computer Science).

This course covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and combinations, counting principles; discrete probability. Further selected topics may also be covered, such as recursive definition and structural induction; state machines and invariants; recurrences; generating functions.

This course covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and combinations, counting principles; discrete probability. Further selected topics may also be covered, such as recursive definition and structural induction; state machines and invariants; recurrences; generating functions.

This subject offers an interactive introduction to discrete mathematics oriented toward computer science and engineering. The subject coverage divides roughly into thirds:

Fundamental concepts of mathematics: Definitions, proofs, sets, functions, relations.
Discrete structures: graphs, state machines, modular arithmetic, counting.
Discrete probability theory.

On completion of 6.042J, students will be able to explain and apply the basic methods of discrete (noncontinuous) mathematics in computer science. They will be able to use these methods in subsequent courses in the design and analysis of algorithms, computability theory, software engineering, and computer systems.
This course is part of the Open Learning Library, which is free to use. You have the option to sign up and enroll in the course if you want to track your progress, or you can view and use all the materials without enrolling.

In this video segment from Cyberchase, the CyberSquad learns how to read a thermometer as they try to keep their chocolate sculpture from melting.