This course provides students with a basic knowledge of structural analysis and design for buildings, bridges and other structures. The course emphasizes the historical development of structural form and the evolution of structural design knowledge, from Gothic cathedrals to long span suspension bridges. Students will investigate the behavior of structural systems and elements through design exercises, case studies, and load testing of models. Students will design structures using timber, masonry, steel, and concrete and will gain an appreciation of the importance of structural design today, with an emphasis on environmental impact of large scale construction.

This course covers the following questions. What are the predominant heat producing elements of the Earth? Where and how much are they? Are they present in the core of the Earth? Detection of antineutrinos generated in the Earth provides: 1) information on the sources of the terrestrial heat, 2) direct test of the Bulk Silicate Earth (BSE) model and 3) testing of non-conventional models of Earth's core. Use of antineutrinos to probe the deep interior of our planet is becoming practical due to recent fundamental advances in the antineutrino detectors.

This course is conducted as an artificial intelligence programming contest in Java. Students work in teams to program virtual robots to play Battlecode, a real-time strategy game. Optional lectures are provided on topics and programming practices relevant to the game, and students learn and improve their programming skills experientially. The competition culminates in a live Battlecode tournament.
This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

This course explores the physical, ecological, technological, political, economic, and cultural implications of big plans and mega-urban landscapes in a global context. It uses local and international case studies to understand the process of making major changes to urban landscape and city fabric, and to regional landscape systems. It includes lectures by leading practitioners. The assignments consider planning and design strategies across multiple scales and time frames.

This course focuses on the interaction of chemical engineering, biochemistry, and microbiology. Mathematical representations of microbial systems are featured among lecture topics. Kinetics of growth, death, and metabolism are also covered. Continuous fermentation, agitation, mass transfer, and scale-up in fermentation systems, and enzyme technology round out the subject material.

This interdisciplinary course provides a hands-on approach to students in the topics of bioinformatics and proteomics. Lectures and labs cover sequence analysis, microarray expression analysis, Bayesian methods, control theory, scale-free networks, and biotechnology applications. Designed for those with a computational and/or engineering background, it will include current real-world examples, actual implementations, and engineering design issues. Where applicable, engineering issues from signal processing, network theory, machine learning, robotics and other domains will be expounded upon.

This course illustrates how knowledge and principles of biology, biochemistry, and engineering are integrated to create new products for societal benefit. It uses a case study format to examine recently developed products of pharmaceutical and biotechnology industries: how a product evolves from initial idea, through patents, testing, evaluation, production, and marketing. Emphasizes scientific and engineering principles; the responsibility scientists, engineers, and business executives have for the consequences of their technology; and instruction and practice in written and oral communication.
The topic focus of this class will vary from year to year. This version looks at inflammation underlying many diseases, specifically its role in cancer, diabetes, and cardiovascular disease.

This course covers sensing and measurement for quantitative molecular/cell/tissue analysis, in terms of genetic, biochemical, and biophysical properties. Methods include light and fluorescence microscopies; electro-mechanical probes such as atomic force microscopy, laser and magnetic traps, and MEMS devices; and the application of statistics, probability and noise analysis to experimental data. Enrollment preference is given to juniors and seniors.

In this course problems from biological engineering are used to develop structured computer programming skills and explore the theory and practice of complex systems design and construction.
The official course Web site can be viewed at: BE.180 Biological Engineering Programming.

Students will learn about the use of biomaterials to create advanced diagnostic tools for detection of infectious and chronic diseases, restore insulin production to supplement lost pancreatic function in diabetes, provide cells with appropriate physical, mechanical, and biochemical cues to direct tissue regeneration, and enhance the efficacy of cancer immunotherapy.
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.

Biomimetics is based on the belief that nature, at least at times, is a good engineer. Biomimesis is the scientific method of learning new principles and processes based on systematic study, observation and experimentation with live animals and organisms. This Freshman Advising Seminar on the topic is a way for freshmen to explore some of MIT's richness and learn more about what they may want to study in later years.

This course focuses on feedback control mechanisms that living organisms implement at the molecular level to execute their functions, with emphasis on techniques to design novel systems with prescribed behaviors. Students will learn how biological functions can be understood and designed using notions from feedback control.

BLOSSOMS stands for Blended Learning Science or Math Studies. It is a project sponsored by MIT LINC (Learning International Networks Consortium) a consortium of educators from around the world who are interested in using distance and e-Learning technologies to help their respective countries increase access to quality education for a larger percentage of the population.
BLOSSOMS Online

Are you interested in building and testing your own imaging radar system? MIT Lincoln Laboratory offers this 3-week course in the design, fabrication, and test of a laptop-based radar sensor capable of measuring Doppler, range, and forming synthetic aperture radar (SAR) images. You do not have to be a radar engineer but it helps if you are interested in any of the following; electronics, amateur radio, physics, or electromagnetics. It is recommended that you have some familiarity with MATLAB®. Teams of three students will receive a radar kit and will attend a total of 5 sessions spanning topics from the fundamentals of radar to SAR imaging. Experiments will be performed each week as the radar kit is implemented. You will bring your radar kit into the field and perform additional experiments such as measuring the speed of passing cars or plotting the range of moving targets. A final SAR imaging contest will test your ability to form a SAR image of a target scene of your choice from around campus; the most detailed and most creative image wins.
Acknowledgement and Disclaimer
This work is sponsored by the Department of the Air Force under Air Force Contract #FA8721-05-C-0002. Opinions, interpretations, conclusions and recommendations are those of the authors and are not necessarily endorsed by the United States Government.

This course will serve as a two-week aggressively gentle introduction to programming for those students who lack background in the field. Specifically targeted at students with little or no programming experience, the course seeks to reach students who intend to take 6.001 and feel they would struggle because they lack the necessary background. The main focus of the subject will be acquiring programming experience: instruction in programming fundamentals coupled with lots of practice problems. Lots of programming required, but lots of support provided.

In this class, concepts of building technology and experimental methods are studied, in class and in lab assignments. Projects vary yearly and have included design and testing of strategies for daylighting, passive heating and cooling, and improved indoor air quality via natural ventilation. Experimental methods focus on measurement and analysis of thermally driven and wind-driven airflows, lighting intensity and glare, and heat flow and thermal storage. Experiments are conducted at model and full scale and are often motivated by ongoing field work in developing countries.

Designing a new business model is one thing, but how do you actually put it into practice? How do you move from your current model to a new business model?

In this business and management course, you will learn how to make a practical action plan to implement your new business model.

You will create a business model roadmap that will include practical activities that take into consideration the possible risks associated with moving to a new business model.

You will also learn about the practical factors that need to be taken into consideration during the transition process, i.e. the competency of your people and your IT, in order to successfully implement a new business model.

The world is changing rapidly and full of uncertainties. The future success of a business model depends on how well it is adapted to changing circumstances. Do you want to become aware of the relevant developments in technology, markets and society? And understand how this affects your business?

This business and management course will teach you how to stress test your business model. You will learn how to identify the relevant trends and uncertainties and how they impact your business model. You will analyse the strong and weak parts of your business model and look for opportunities to make your business model more robust and future proof.

You will learn through real-world examples from well-known companies and interact with fellow entrepreneurs. By the end of this course, you will be able to stress test your own business model to analyse its future success.

Introduction to computer programming within a numerical computing environment (MATLAB or similar) including types of data representation, graphical display of data, and development of modular programs with application to engineering analysis and problem solving.

This course has been designed as a seminar to give students an understanding of how scientists with medical or scientific degrees conduct research in both hospital and academic settings. There will be interactive discussions with research clinicians and scientists about the career opportunities and research challenges in the biomedical field, which an MIT student might prepare for by obtaining an MD, PhD, or combined degrees. The seminar will be held in a case presentation format, with topics chosen from the radiological sciences, including current research in magnetic resonance imaging, positron emission tomography and other nuclear imaging techniques, and advances in radiation therapy. With the lectures as background, we will also examine alternative and related options such as biomedical engineering, medical physics, and medical engineering. We'll use as examples and points of comparisons the curriculum paths available through MIT's Department of Nuclear Science and Engineering. In past years we have given very modest assignments such as readings in advance of or after a seminar, and a short term project.