Cellular responses to DNA damage constitute one of the most important fields in cancer biology. In this class we will analyze classical and recent papers from the primary research literature to gain a profound understand of cell cycle regulation and DNA damage checkpoints that act as powerful emergency brakes to prevent cancer. 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.

Modeling of the control processes in conventional and high-speed data communication networks. Develops and utilizes elementary concepts from queueing theory, algorithms, linear and nonlinear programming to study the problems of line and network protocols, distributed algorithms, quasi-static and dynamic routing, congestion control, deadlock prevention. Treats local and wide-area networks, and high-speed electronic and optical networks. Focuses on the fundamentals of data communication networks. One goal is to give some insight into the rationale of why networks are structured the way they are today and to understand the issues facing the designers of next-generation data networks. Much of the course focuses on network algorithms and their performance. Students are expected to have a strong mathematical background and an understanding of probability theory. Topics discussed include: layered network architecture, Link Layer protocols, high-speed packet switching, queueing theory, Local Area Networks, and Wide Area Networking issues, including routing and flow control.

Introduces students to a class of methods known as data mining that assists managers in recognizing patterns and making intelligent use of massive amounts of electronic data collected via the internet, e-commerce, electronic banking, point-of-sale devices, bar-code readers, and intelligent machines. Topics covered: subset selection in regression, collaborative filtering, tree-structured classification and regression, cluster analysis, and neural network methods. Examples of successful applications in areas such as credit ratings, fraud detection, database marketing, customer relationship management, and investments and logistics are covered. Hands-on experimentation with data-mining software is used. Data that has relevance for managerial decisions is accumulating at an incredible rate due to a host of technological advances. Electronic data capture has become inexpensive and ubiquitous as a by-product of innovations such as the internet, e-commerce, electronic banking, point-of-sale devices, bar-code readers, and intelligent machines. Such data is often stored in data warehouses and data marts specifically intended for management decision support. Data mining is a rapidly growing field that is concerned with developing techniques to assist managers to make intelligent use of these repositories. A number of successful applications have been reported in areas such as credit rating, fraud detection, database marketing, customer relationship management, and stock market investments. The field of data mining has evolved from the disciplines of statistics and artificial intelligence. This course will examine methods that have emerged from both fields and proven to be of value in recognizing patterns and making predictions from an applications perspective. We will survey applications and provide an opportunity for hands-on experimentation with algorithms for data mining using easy-to- use software and cases.

This course is designed to introduce graduate students to the foundations of database systems, focusing on basics such as the relational algebra and data model, query optimization, query processing, and transactions. This is not a course on database design or SQL programming (though we will discuss these issues briefly). It is designed for students who have taken 6.033 (or equivalent); no prior database experience is assumed though students who have taken an undergraduate course in databases are encouraged to attend.

This course explores natural and electric lighting that integrates occupant comfort, energy efficiency and daylight availability in an architectural context. Students are asked to evaluate daylighting in real space and simulations, and also high dynamic range photography and physical model building.

Design Fabrication is an introductory course in the field of advanced computing, prototyping and building fabrication. The class is focused on the relationship between design, various forms of computer modeling both explicit and generative and the physical representation of information using rapid prototyping devices.

Introduction to microelectromechanical devices (MEMS). Material properties, microfabrication technologies, structural behavior, piezoresistive and capacitive sensing, electrostatic actuation, fluid damping, noise, amplifiers, and feedback systems. Student teams design microsystems (sensors, electronics, and feedback) to meet a set of specifications (sensitivity, frequency response, linearity) using a realistic microfabrication process. Emphasis on modeling and simulation in the design process.

Humanitarian Demining is the process of detecting, removing and disposing of landmines. Millions of landmines are buried in more than 80 countries resulting in 20,000 civilian victims every year. MIT Design for Demining is a design course that spans the entire product design and development process from identification of needs and idea generation to prototyping and blast testing to manufacture and deployment. Technical, business and customer aspects are addressed. Students learn about demining while they design, develop and deliver devices to aid the demining community. Past students have invented or improved hand tools, protective gear, safety equipment, educational graphics and teaching materials. Some tools designed in previous years are in use worldwide in the thousands. Course work is informed by a class field trip to a US Army base for demining training and guest expert speakers.

To build a high-growth, sustainable firm, an entrepreneur must know how to locate and recruit talented people and how to manage and retain them. Subject focuses on building, running, and growing an organization. Students examine three central themes: how to think analytically about designing organizational systems; how leaders, especially founders, play a critical role in shaping an organization's culture; and how to build a successful organization for the long-term. Through a series of cases, lectures, and readings, students address the principles of organizational architecture, group behavior and performance, interpersonal influence, leadership and motivation in entrepreneurial settings. Students develop competencies in organizational design, human resources management, and organizational behavior in the context of a new, small firm. This subject is about building, running, and growing an organization. Subject has four central themes: How to think analytically about designing organizational systems How leaders, especially founders, play a critical role in shaping an organization's culture What really needs to be done to build a successful organization for the long-term and What one can do to improve the likelihood of personal success. Not a survey of entrepreneurship or leadership; subject addresses the principles of organizational architecture, group behavior and performance, interpersonal influence, leadership and motivation in entrepreneurial settings. Through a series of cases, lectures, readings and exercises students develop competencies in organizational design, human resources management, leadership and organizational behavior in the context of a new, small firm.

" This design course targets the solution of clinical problems by use of implants and other medical devices. Topics include the systematic use of cell-matrix control volumes; the role of stress analysis in the design process; anatomic fit, shape and size of implants; selection of biomaterials; instrumentation for surgical implantation procedures; preclinical testing for safety and efficacy, including risk/benefit ratio assessment evaluation of clinical performance and design of clinical trials. Student project materials are drawn from orthopedic devices, soft tissue implants, artificial organs, and dental implants."

Agricultural issues: peasant behavior, land tenancy, and interlinked markets. Credit and insurance market problems and institutions. Health, nutrition, and productivity. Gender bias. Education. Technological change. Government failures.

" Topics include productivity effects of health, private and social returns to education, education quality, education policy and market equilibrium, gender discrimination, public finance, decision making within families, firms and contracts, technology, labor and migration, land, and the markets for credit and savings."

The principles involved in morphogenesis and the determination of complex cellular patterns are examined using examples from animal systems in which the tools of genetics, molecular biology and cell biology have been applied to reveal mechanism. This graduate and advanced undergraduate level lecture and literature discussion course covers the current understanding of the molecular mechanisms that regulate animal development. Evolutionary mechanisms are emphasized as well as the discussion of relevant diseases. Vertebrate (mouse, chick, frog, fish) and invertebrate (fly, worm) models are covered. Specific topics include formation of early body plan, cell type determination, organogenesis, morphogenesis, stem cells, cloning, and issues in human development.

Considers molecular control of neural specification, formation of neuronal connections, construction of neural systems, and the contributions of experience to shaping brain structure and function. Topics include: neural induction and pattern formation, cell lineage and fate determination, neuronal migration, axon guidance, synapse formation and stabilization, activity-dependent development and critical periods, development of behavior.

How does a regenerating animal "know" what's missing? How are stem cells or differentiated cells used to create new tissues during regeneration? In this class we will take a comparative approach to explore this fascinating problem by critically examining classic and modern scientific literature about the developmental and molecular biology of regeneration. We will learn about conserved developmental pathways that are necessary for regeneration, and we will discuss the relevance of these findings for regenerative medicine. 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.

This course takes a 'back to the beginning' view that aims to better understand the end result. What might be the developmental processes that lead to the organization of 'booming, buzzing confusions' into coherent visual objects? This course examines key experimental results and computational proposals pertinent to the discovery of objects in complex visual inputs. The structure of the course is designed to get students to learn and to focus on the genre of study as a whole; to get a feel for how science is done in this field.

This is the first semester of a two-semester sequence on Differential Analysis. Topics include fundamental solutions for elliptic; hyperbolic and parabolic differential operators; method of characteristics; review of Lebesgue integration; distributions; fourier transform; homogeneous distributions; asymptotic methods.

Fall: Fundamental solutions for elliptic, hyperbolic and parabolic differential operators. Method of characteristics. Review of Lebesgue integration. Distributions. Fourier transform. Homogeneous distributions. Asymptotic methods. Spring: Sobolev spaces. Fredholm alternative. Variable coefficient elliptic, parabolic and hyperbolic linear partial differential equations. Variational methods. Viscosity solutions of fully nonlinear partial differential equations. The main goal of this course is to give the students a solid foundation in the theory of elliptic and parabolic linear partial differential equations. It is the second semester of a two-semester, graduate-level sequence on Differential Analysis.

This course is an introduction to differential geometry. The course itself is mathematically rigorous, but still emphasizes concrete aspects of geometry, centered on the notion of curvature.

The "Digital Lab Techniques Manual" is a series of videos designed to help you prepare for your chemistry laboratory class. Each video provides a detailed demonstration of a common laboratory technique, as well as helpful tips and information. These videos are meant to supplement, and not replace, your lab manual and assigned reading. In fact, you will most benefit from watching the videos if you have already read the appropriate background information. To be a great experimentalist, you must understand both theory and technique! If you have questions about what you see, make sure to ask your TA or your instructor. WARNING NOTICE: The experiments described in these materials are potentially hazardous and require a high level of safety training, special facilities and equipment, and supervision by appropriate individuals. You bear the sole responsibility, liability, and risk for the implementation of such safety procedures and measures. MIT shall have no responsibility, liability, or risk for the content or implementation of any of the material presented.