Language Literacy and Numeracy: Water Conservation: Trainers Guide
Trainers Guide. This unit has been designed for adult learners to help them understand the importance of water and water conservation. It is an English as a Second Language numeracy program that teaches important mathematical skills that can be used in everyday situations.
Language Literacy and Numeracy: Water Conservation
This unit has been designed for adult learners to help them understand the importance of water and water conservation. It is an English as a Second Language numeracy program that teaches important mathematical skills that can be used in everyday situations.
15.093 Optimization Methods (SMA 5213) (MIT)
This course introduces the principal algorithms for linear, network, discrete, nonlinear, dynamic optimization and optimal control. Emphasis is on methodology and the underlying mathematical structures. Topics include the simplex method, network flow methods, branch and bound and cutting plane methods for discrete optimization, optimality conditions for nonlinear optimization, interior point methods for convex optimization, Newton's method, heuristic methods, and dynamic programming and optimal
6.021J Quantitative Physiology: Cells and Tissues (MIT)
In this subject, we consider two basic topics in cellular biophysics, posed here as questions:
Which molecules are transported across cellular membranes, and what are the mechanisms of transport? How do cells maintain their compositions, volume, and membrane potential?
How are potentials generated across the membranes of cells? What do these potentials do?
Although the questions posed are fundamentally biological questions, the methods for answering these questions are inherently multidisc
Saving for the Future: Don't leave it too late!
Part of a series of worksheets covering Mathematical Case Studies for Economists from Nottingham Trent University. They are downloadable in Word format with embedded links. They can be adapted, printed and/or put in a Virtual Learning Environment. A booklet giving guideline answers for the task questions is available on request from the Economics Network.
Deriving constant price estimates of GDP: An illustration of chain-linking
Part of a series of worksheets covering Mathematical Case Studies for Economists from Nottingham Trent University. They are downloadable in Word format with embedded links. They can be adapted, printed and/or put in a Virtual Learning Environment. A booklet giving guideline answers for the task questions is available on request from the Economics Network.
Counting the cost of effective health policy
Part of a series of worksheets covering Mathematical Case Studies for Economists from Nottingham Trent University. They are downloadable in Word format with embedded links. They can be adapted, printed and/or put in a Virtual Learning Environment. A booklet giving guideline answers for the task questions is available on request from the Economics Network.
Measuring health improvements for a cost effectiveness analysis
Part of a series of worksheets covering Mathematical Case Studies for Economists from Nottingham Trent University. They are downloadable in Word format with embedded links. They can be adapted, printed and/or put in a Virtual Learning Environment. A booklet giving guideline answers for the task questions is available on request from the Economics Network.
Measuring the competitiveness of sport: are the top teams getting too strong?
Part of a series of worksheets covering Mathematical Case Studies for Economists from Nottingham Trent University. They are downloadable in Word format with embedded links. They can be adapted, printed and/or put in a Virtual Learning Environment. A booklet giving guideline answers for the task questions is available on request from the Economics Network.
Good Practice Guide in Question and Test Design
This booklet will provide an introduction to good practice in question and test design. It includes the art of using objective tests to assess some aspects of student learning. At the outset you should be aware that objective tests are just one method of assessment. They are useful for assessing knowledge, comprehension and application and in some circumstances can be used to assess higher order skills such as evaluation and synthesis. They cannot be used to assess creativity, integration of ide
18.100B Analysis I (MIT)
Analysis I covers fundamentals of mathematical analysis: convergence of sequences and series, continuity, differentiability, Riemann integral, sequences and series of functions, uniformity, and interchange of limit operations.
20.181 Computation for Biological Engineers (MIT)
This course covers the analytical, graphical, and numerical methods supporting the analysis and design of integrated biological systems. Topics include modularity and abstraction in biological systems, mathematical encoding of detailed physical problems, numerical methods for solving the dynamics of continuous and discrete chemical systems, statistics and probability in dynamic systems, applied local and global optimization, simple feedback and control analysis, statistics and probability in pat
18.366 Random Walks and Diffusion (MIT)
This graduate-level subject explores various mathematical aspects of (discrete) random walks and (continuum) diffusion. Applications include polymers, disordered media, turbulence, diffusion-limited aggregation, granular flow, and derivative securities.
Waterpower in Austria
Short film on alternativ energy production in Austria, by Lebensministerium Austria (duration 2 min.). 
2.035 Special Topics in Mathematics with Applications: Linear Algebra and the Calculus of Variations
This course forms an introduction to a selection of mathematical topics that are not covered in traditional mechanical engineering curricula, such as differential geometry, integral geometry, discrete computational geometry, graph theory, optimization techniques, calculus of variations and linear algebra. The topics covered in any particular year depend on the interest of the students and instructor. Emphasis is on basic ideas and on applications in mechanical engineering. This year, the subject
NASA CONNECT Proportionality: Modeling the Future
In NASA CONNECT Proportionality: Modeling the Future, students learn why scaling and proportion are important in the design of small aircraft transportation systems. Mathematical patterns are described through practical applications such as the growth of transportation, the Golden Ratio, and the Fibonacci sequence. Grades 4-8.
Mathematical Biology
These are my lecture notes for a course I teach on mathematical biology at the Hong Kong University of Science & Technology. My main emphasis is on mathematical modeling, with biology the sole application area.
Notes on OpenOffice Writer: large and complex documents
This book is about how to use OpenOffice Writer to create large and complex documents. It explains how Writer organises text into paragraphs and pages and shows how styles and formatting control the appearance of the document. It discusses how to create headings, tables, figures, frames and mathematical expression. It discusses how to handle citation and referencing in the three common styles, and shows how to create tables of contents and indices.
The Development and Use of Representations in Teaching and Learning about Problem Solving: Exploring
Tim Boerst has explored instructional approaches that foster the development of representational skill and routine use of multiple representations in problem solving. In particular he has used the 'Rule of 3' (a structure employed in calculus reform materials that highlights the use of numerical, algebraic, and/or graphic representations in mathematical learning) to see whether an emphasis on multiple representations would deepen mathematical learning opportunities for a wide variety of students
Learning to Think Mathematically
Concerned that most students leave college thinking of mathematics as a fixed body of knowledge to be memorized, Cooperstein designed a new course to help students learn to think mathematically for themselves. This website serves as a course portfolio that documents the new class, Introduction to Mathematical Problem Solving. The principal activity in the class involved students working on and discussing novel problems which required them to formulate experiments, work out cases, look for patter
