Sixth-Grade Supplemental Activities --Analysis, Compare, and Contrast
Page at a Time's core materials are designed to be used with either fifth- or sixth-grade students. The sixth-grade activities in this section supplement the core activities. Their purpose is to challenge sixth graders to think in a critical and comparative manner that may be too difficult for fifth graders. Visit www.pageatatime.org to see more about this collection.
6.253 Convex Analysis and Optimization (MIT)
6.253 develops the core analytical issues of continuous optimization, duality, and saddle point theory, using a handful of unifying principles that can be easily visualized and readily understood. The mathematical theory of convex sets and functions is discussed in detail, and is the basis for an intuitive, highly visual, geometrical approach to the subject.
2.852 Manufacturing Systems Analysis (MIT)
This course deals with the following topics: Models of manufacturing systems, including transfer lines and flexible manufacturing systems; Calculation of performance measures, including throughput, in-process inventory, and meeting production commitments; Real-time control of scheduling; Effects of machine failure, set-ups, and other disruptions on system performance.
7.344 RNA Interference: A New Tool for Genetic Analysis and Therapeutics (MIT)
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.
To understand and treat any disease with a genetic basis or predisposition, scientists and clinicians need effective ways of manipulating the levels of genes and gene products. Conventional methods for the genetic mo
15.010 Economic Analysis for Business Decisions (MIT)
15.010 is the Sloan School's core subject in microeconomics, with sections for non-Sloan students labeled 15.011. Our objective is to give you a working knowledge of the analytical tools that bear most directly on the economic decisions firms must regularly make. We will emphasize market structure and industrial performance, including the strategic interaction of firms. We will examine the behavior of individual markets -- and the producers and consumers that sell and buy in those markets -- in
12.091 Trace Element Analysis of Geological, Biological & Environmental Materials by Neutron Activat
This course introduces students to the technique of instrumental neutron activation analysis. This is a non-destructive analytical technique for the determination of elemental abundances at trace levels in a wide variety of geological, biological, environmental and industrial samples.
18.330 Introduction to Numerical Analysis (MIT)
This course analyzed the basic techniques for the efficient numerical solution of problems in science and engineering. Topics spanned root finding, interpolation, approximation of functions, integration, differential equations and direct and iterative methods in linear algebra.
21A.750J Social Theory and Analysis (MIT)
This course presents a survey of social theory from the 19th century to the present. The focus is on (a) the social grounds from which the theory arises; (b) the utility and limitations of older theories for current conditions; (c) the creation of new theory out of contemporary conditions; (d) sciences and technologies as the infrastructures upon which social institutions depend, are shaped, and shape.
11.491J Economic Development, Policy Analysis, and Industrialization (MIT)
This class analyzes the theoretical and historical reasons why governments in latecomer countries have intervened with a wide array of policies to foster industrial development at various turning points: the initiation of industrial activity; the diversification of the industrial base; the restructuring of major industrial institutions; and the entry into high-technology sectors.
16.21 Techniques for Structural Analysis and Design (MIT)
This course introduces analysis techniques for complex structures and the role of material properties in structural design, failure, and longevity. Students will learn about the energy principles in structural analysis and their applications to statically-indeterminate structures and solid continua. Additionally, the course will examine matrix and finite-element methods of structured analysis including bars, beams, and two-dimensional plane stress elements. Structural materials and their propert
6.881 Representation and Modeling for Image Analysis (MIT)
Most algorithms in computer vision and image analysis can be understood in terms of two important components: a representation and a modeling/estimation algorithm. The representation defines what information is important about the objects and is used to describe them. The modeling techniques extract the information from images to instantiate the representation for the particular objects present in the scene. In this seminar, we will discuss popular representations (such as contours, level sets,
6.041 Probabilistic Systems Analysis and Applied Probability (MIT)
This course is offered both to undergraduates (6.041) and graduates (6.431), but the assignments differ. 6.041/6.431 introduces students to the modeling, quantification, and analysis of uncertainty. Topics covered include: formulation and solution in sample space, random variables, transform techniques, simple random processes and their probability distributions, Markov processes, limit theorems, and elements of statistical inference.
18.155 Differential Analysis (MIT)
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.
7.90J Computational Functional Genomics (MIT)
The course focuses on casting contemporary problems in systems biology and functional genomics in computational terms and providing appropriate tools and methods to solve them. Topics include genome structure and function, transcriptional regulation, and stem cell biology in particular; measurement technologies such as microarrays (expression, protein-DNA interactions, chromatin structure); statistical data analysis, predictive and causal inference, and experiment design. The emphasis is on coup
2.082 Ship Structural Analysis & Design (13.122) (MIT)
This course is intended for first year graduate students and advanced undergraduates with an interest in design of ships or offshore structures. It requires a sufficient background in structural mechanics. Computer applications are utilized, with emphasis on the theory underlying the analysis. Hydrostatic loading, shear load and bending moment, and resulting primary hull primary stresses will be developed. Topics will include; ship structural design concepts, effect of superstructures and dissim
2.993J Introduction to Numerical Analysis for Engineering (13.002J) (MIT)
This course is offered to undergraduates and introduces students to the formulation, methodology, and techniques for numerical solution of engineering problems. Topics covered include: fundamental principles of digital computing and the implications for algorithm accuracy and stability, error propagation and stability, the solution of systems of linear equations, including direct and iterative techniques, roots of equations and systems of equations, numerical interpolation, differentiation and i
2.882 System Design and Analysis based on AD and Complexity Theories (MIT)
This course studies what makes a good design and how one develops a good design. Students consider how the design of engineered systems (such as hardware, software, materials, and manufacturing systems) differ from the "design" of natural systems such as biological systems; discuss complexity and how one makes use of complexity theory to improve design; and discover how one uses axiomatic design theory (AD theory) in design of many different kinds of engineered systems. Questions are analyzed us
18.101 Analysis II (MIT)
This course continues from Analysis I (18.100B), in the direction of manifolds and global analysis. The first half of the course covers multivariable calculus. The rest of the course covers the theory of differential forms in n-dimensional vector spaces and manifolds.
11.486J Economic Institutions and Growth Policy Analysis (MIT)
This course is designed for students particularly concerned with the practical problems of operating in large formal organizations, either from an operational or a research perspective. It will focus, as the title suggests, upon different forms of economic organizations and institutions in advanced and developing industrial societies and the theories (and theoretical perspectives) which might help us to understand them.
6.883 Program Analysis (MIT)
6.883 is a graduate seminar that investigates a variety of program analysis techniques that address software engineering tasks. Static analysis topics include abstract interpretation (dataflow), type systems, model checking, decision procedures (SAT, BDDs), theorem-proving. Dynamic analysis topics include testing, fault isolation (debugging), model inference, and visualization. While the course focuses on the design and implementation of programming tools, the material will be useful to anyone w
