Enzymes, nature's catalysts, are remarkable biomolecules capable of extraordinary specificity and selectivity. Directed evolution has been used to produce enzymes with many unique properties, including altered substrate specificity, thermal stability, organic solvent resistance, and enantioselectivity--selectivity of one stereoisomer over another. The technique of directed evolution comprises two essential steps: mutagenesis of the gene encoding the enzyme to produce a library of variants, and selection of a particular variant based on its desirable catalytic properties. In this course we will examine what kinds of enzymes are worth evolving and the strategies used for library generation and enzyme selection. We will focus on those enzymes that are used in the synthesis of drugs and in biotechnological applications. This course is one of many Advanced Undergraduate Seminars offered by the Biology Department at MIT. These seminars are tailored for students with an interest in using primary research literature to discuss and learn about current biological research in a highly interactive setting. Many instructors of the Advanced Undergraduate Seminars are postdoctoral scientists with a strong interest in teaching.

In recent years, the redistribution of risk has created conditions for natural and technological disasters to become more widespread, more difficult to manage, and more discriminatory in their effects. Policy and planning decision-makers frequently focus on the impact that human settlement patterns, land use decisions, and risky technologies can have on vulnerable populations. However, to ensure safety and promote equity, they also must be familiar with the social and political dynamics that are present at each stage of the disaster management cycle. Therefore, this course will provide students with: 1) An understanding of the breadth of factors that give rise to disaster vulnerability; and 2) A foundation for assessing and managing the social and political processes associated with disaster policy and planning.

In this video module, students learn how scientists use genetic information from dogs to find out which gene (out of all 20,000 dog genes) is associated with any specific trait or disease of interest. This method involves comparing hundreds of dogs with the trait to hundreds of dogs not displaying the trait, and examining which position on the dog DNA is correlated with the trait (i.e. has one DNA sequence in dogs with the trait but another DNA sequence in dogs not displaying the trait). Students will also learn something about the history of dog breeds and how this history helps us find genes.

Scientists who are working to discover new medicines often use robots to prepare samples of cells, allowing them to test chemicals to identify those that might be used to treat diseases. Students will meet a scientist who works to identify new medicines. She created free software that ''looks'' at images of cells and determines which images show cells that have responded to the potential medicines. Students will learn about how this technology is currently enabling research to identify new antibiotics to treat tuberculosis. Students will complete hands-on activities that demonstrate how new medicines can be discovered using robots and computer software, starring the student as ''the computer.'' In the process, the students learn about experimental design, including positive and negative controls.

Discrete stochastic processes are essentially probabilistic systems that evolve in time via random changes occurring at discrete fixed or random intervals. This course aims to help students acquire both the mathematical principles and the intuition necessary to create, analyze, and understand insightful models for a broad range of these processes. The range of areas for which discrete stochastic-process models are useful is constantly expanding, and includes many applications in engineering, physics, biology, operations research and finance.

This course examines how medicine is practiced cross-culturally, with particular emphasis on Western biomedicine. Students analyze medical practice as a cultural system, focusing on the human, as opposed to the biological, side of things. Also considered is how people in different cultures think of disease, health, body, and mind.

This course examines the growing importance of medicine in culture, economics and politics. It uses an historical approach to examine the changing patterns of disease, the causes of morbidity and mortality, the evolution of medical theory and practice, the development of hospitals and the medical profession, the rise of the biomedical research industry, and the ethics of health care in America.

This is a course about how research knowledge and other types of knowledge come to be actionable and influential in the world‰ŰÓor not. The course explores ways to make research knowledge more accessible, credible, and useful in the realm of public policy and practice‰ŰÓa project in which the course faculty collectively bring decades of professional experience, in both academic and non-academic roles. The course addresses the politics of the policymaking process, the power of framing and agenda-setting, fads and paradigms in the design professions and society in general, how knowledge diffuses along knowledge and influence networks, and how varied types of knowledge (rational, craft, other) and deliberation shape decision-making and action. The course engages a number of guests to present case studies of research in use (and abuse) in varied fields, highlighting rich areas for potential research contribution, along with major conflicts in public values, political interests, ethical obligations, and more. The resulting dilemmas confront scholars, policymakers, practitioners, and others as they look to research‰ŰÓsometimes‰ŰÓfor useful guidance, influence, or both.

Introduces the process of social research, emphasizing the conceptualization of research choices to ensure validity, relevance, and discovery. Includes research design and techniques of data collection as well as issues in the understanding, analysis, and interpretation of data. This course is designed to lay the foundations of good empirical research in the social sciences. It does not deal with specific techniques per se, but rather with the assumptions and the logic underlying social research. Students become acquainted with a variety of approaches to research design, and are helped to develop their own research projects and to evaluate the products of empirical research.

A large proportion of contemporary research on organizations, strategy, innovation and management relies on quantitative research methods. Subject examines the research process as the goal is to help students understand the relationship between theory, data and statistical methods. It is designed to provide an introduction to some of the most commonly used quantitative techniques, including logit/probit models, count models, event history models, and pooled cross-section techniques.

" Double affine Hecke algebras (DAHA), also called Cherednik algebras, and their representations appear in many contexts: integrable systems (Calogero-Moser and Ruijsenaars models), algebraic geometry (Hilbert schemes), orthogonal polynomials, Lie theory, quantum groups, etc. In this course we will review the basic theory of DAHA and their representations, emphasizing their connections with other subjects and open problems."

Immune cells protect our bodies from both self-derived threats and exogenous pathogens, while keeping peace with normal cells and non-harmful commensal microbiota. They have various mechanisms to perform these tasks, a capacity that is essential for maintaining homeostasis. However, these same mechanisms can backfire, resulting in severe disorders such as immunodeficiency, chronic inflammation, allergy, degenerative diseases, and cancer. This course discusses the connections between normal physiology and disease by examining the developmental relationship between innate and adaptive immune cells as well as the functions and malfunctions of immune cells. The course familiarizes students with both basic biological principles (such as cell death and immune cell signaling) and clinical applications (such as immune checkpoint blockade). More generally, students learn to identify relevant primary research literature, critically evaluate experimental data, and reach their own conclusions based on primary data.

Focuses on the role of the business improvement district (BID) as a popular and contemporary tool for urban revitalization. Explores BID origins, theoretical underpinnings, enabling legislation, and organizational issues. Emphasizes BID service provision including advocacy, marketing, sanitation, streetscape improvement, security and transportation, while examining BID performance using such indicators as crime rates, vacancy rates, and retail sales. Considers BID organizations throughout North America as well as comparable schemes in Australia, Holland, Japan, New Zealand, South Africa, and the United Kingdom. This course focuses on the origins, functions, and implications of downtown management organizations (DMOs), such as business improvement districts, in a variety of national contexts including the United States, Canada, South Africa, and the United Kingdom. It critically examines how a range of urban theories provide a rationale for the establishment and design of DMOs; the evolution and transnational transfer of DMO policy; and the spatial and political externalities associated with the local proliferation of DMOs. Particular emphasis is given to the role of DMOs in securing public space.

Seminar on downtown in US cities from the late nineteenth century to the late twentieth. Emphasis on downtown as an idea, place, and cluster of interests, on the changing character of downtown, and on recent efforts to rebuild it. Subjects considered include subways, skyscrapers, highways, urban renewal, and retail centers. Focus on readings, discussions, and individual research projects. Meets with graduate subject 11.339, but assignments differ.

Seminar on a selected topic from Renaissance architecture. Requires original research and presentation of a report. The aim of this course is to highlight some technical aspects of the classical tradition in architecture that have so far received only sporadic attention. It is well known that quantification has always been an essential component of classical design: proportional systems in particular have been keenly investigated. But the actual technical tools whereby quantitative precision was conceived, represented, transmitted, and implemented in pre-modern architecture remain mostly unexplored. By showing that a dialectical relationship between architectural theory and data-processing technologies was as crucial in the past as it is today, this course hopes to promote a more historically aware understanding of the current computer-induced transformations in architectural design.

This class examines the relationship between a number of mind-altering substances and cultural processes. We look at the relationship between drugs and such phenomena as poverty, religion, technology, inter-generational conflict, colonialism, and global capitalism. We read about the physiological and psychological effects of these substances -- ranging from alcohol to LSD, cocaine and ecstasy -- and ask why different societies prohibit and sanction different drugs. We examine the use of mind-altering substances in a number of "traditional" societies, and follow the development of a global trade in such substances as sugar, coffee, tea, nicotine, cocaine, and marijuana concurrent with the evolution of global capitalism. We look at the use of LSD as a mind-control substance by the CIA and as a mind-altering substance in the 1960's counter-culture, and we look at the rise of Prozacĺ¨ and Viagraĺ¨ as popular, if controversial, pharmaceutical products in recent years. Finally, we evaluate America's current drug laws.

This class is a multidisciplinary introduction to pharmacology, neurotransmitters, drug mechanisms, and brain diseases from addiction to schizophrenia.

The first two weeks of this course are an overview of performing improvisation with introductory and advanced exercises in the techniques of improvisation. The final four weeks focus on applying these concepts in business situations to practice and mastering these improvisation tools in leadership learning.

"This course focuses on dynamic optimization methods, both in discrete and in continuous time. We approach these problems from a dynamic programming and optimal control perspective. We also study the dynamic systems that come from the solutions to these problems. The course will illustrate how these techniques are useful in various applications, drawing on many economic examples. However, the focus will remain on gaining a general command of the tools so that they can be applied later in other classes."

Deterministic optimization: maximum principle, dynamic programming, calculus of variations, optimal control, dynamic games. Stochastic optimization: stochastic optimal control and dynamic programming, Markov processes, Ito calculus, Markov games. Applications. Dynamical systems: local and global analysis and chaos. The unifying theme of this course is best captured by the title of our main reference book: "Recursive Methods in Economic Dynamics". We start by covering deterministic and stochastic dynamic optimization using dynamic programming analysis. We then study the properties of the resulting dynamic systems. Finally, we will go over a recursive method for repeated games that has proven useful in contract theory and macroeconomics. We shall stress applications and examples of all these techniques throughout the course.