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Estimating the cost of equity Estimating the cost of equity

Description

This free course, Estimating the cost of equity, looks at how to estimate the cost of equity using the dividend valuation model (DVM) and the capital asset pricing model (CAPM), and how to evaluate the use of the DVM and the CAPM from a financial and strategic perspective. It then explores the implications regarding selection of the inputs to the DVM and CAPM and assesses the implications of using the beta measure in the CAPM. First published on Thu, 11 Feb 2016 as Estimating the cost of equity. To find out more visit The Open University's Openlearn website. Creative-Commons 2016 This free course, Estimating the cost of equity, looks at how to estimate the cost of equity using the dividend valuation model (DVM) and the capital asset pricing model (CAPM), and how to evaluate the use of the DVM and the CAPM from a financial and strategic perspective. It then explores the implications regarding selection of the inputs to the DVM and CAPM and assesses the implications of using the beta measure in the CAPM. First published on Thu, 11 Feb 2016 as Estimating the cost of equity. To find out more visit The Open University's Openlearn website. Creative-Commons 2016

Subjects

Money & Management | Money & Management | Business Studies | Business Studies | B858_1 | B858_1 | equity | equity | dividend | dividend | dividend valuation model | dividend valuation model | capital asset pricing model | capital asset pricing model | DVM | DVM | CAPM | CAPM

License

Except for third party materials and otherwise stated (see http://www.open.ac.uk/conditions terms and conditions), this content is made available under a http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ Creative Commons Attribution-NonCommercial-ShareAlike 2.0 Licence Licensed under a Creative Commons Attribution - NonCommercial-ShareAlike 2.0 Licence - see http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ - Original copyright The Open University

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11.131 Educational Theory and Practice III (MIT) 11.131 Educational Theory and Practice III (MIT)

Description

This is the final course in the three course sequence (11.129, 11.130 and 11.131) that deals with the practicalities of teaching students. Our areas of study will include: educational psychology, identification of useful resources that support instruction, learning to use technology in meaningful ways in the classroom, finding more methods of motivating students, implementing differentiated instruction and obtaining a teaching job. This is the final course in the three course sequence (11.129, 11.130 and 11.131) that deals with the practicalities of teaching students. Our areas of study will include: educational psychology, identification of useful resources that support instruction, learning to use technology in meaningful ways in the classroom, finding more methods of motivating students, implementing differentiated instruction and obtaining a teaching job.

Subjects

classroom experiences | classroom experiences | student-centered classroom activities | student-centered classroom activities | student-led classes | student-led classes | issues in schools and education | issues in schools and education | observing | observing | pre-college math and science classes | pre-college math and science classes | design and implementation of curriculum | design and implementation of curriculum | diversity | diversity | standards in math and science | standards in math and science | student misconceptions | student misconceptions | methods of instruction | methods of instruction | the digital divide | the digital divide | teaching through different media | teaching through different media | student assessment | student assessment

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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11.129 Educational Theory and Practice I (MIT) 11.129 Educational Theory and Practice I (MIT)

Description

This course concentrates on a core set of skills and knowledge necessary for teaching in secondary schools. Topics covered in the class include educational reform, student behavior and motivation, curriculum design, and the teaching profession. Classroom observation is a key component of the class. Assignments include readings from the educational literature, written reflections on classroom observations, and practice teaching and constructing curriculum. This is the first of a three course sequence necessary to complete the Teacher Education Program. This course concentrates on a core set of skills and knowledge necessary for teaching in secondary schools. Topics covered in the class include educational reform, student behavior and motivation, curriculum design, and the teaching profession. Classroom observation is a key component of the class. Assignments include readings from the educational literature, written reflections on classroom observations, and practice teaching and constructing curriculum. This is the first of a three course sequence necessary to complete the Teacher Education Program.

Subjects

classroom experiences | classroom experiences | student-centered classroom activities | student-centered classroom activities | student-led classes | student-led classes | issues in schools and education | issues in schools and education | observing | observing | pre-college math and science classes | pre-college math and science classes | design and implementation of curriculum | design and implementation of curriculum | diversity | diversity | standards in math and science | standards in math and science | student misconceptions | student misconceptions | methods of instruction | methods of instruction | the digital divide | the digital divide | teaching through different media | teaching through different media | student assessment | student assessment

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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14.42 Environmental Policy and Economics (MIT) 14.42 Environmental Policy and Economics (MIT)

Description

This course explores the proper role of government in the regulation of the environment. It will help students develop the tools to estimate the costs and benefits of environmental regulations. These tools will be used to evaluate a series of current policy questions, including: Should air and water pollution regulations be tightened or loosened? What are the costs of climate change in the U.S. and abroad? Is there a "Race to the Bottom" in environmental regulation? Students will help design and execute a cutting edge research project that tests whether air pollution causes infant mortality. To gain real world experience, the course will include a guest lecture from a former EPA plant inspector and is tentatively scheduled to include a visit to a local polluting plant. This course explores the proper role of government in the regulation of the environment. It will help students develop the tools to estimate the costs and benefits of environmental regulations. These tools will be used to evaluate a series of current policy questions, including: Should air and water pollution regulations be tightened or loosened? What are the costs of climate change in the U.S. and abroad? Is there a "Race to the Bottom" in environmental regulation? Students will help design and execute a cutting edge research project that tests whether air pollution causes infant mortality. To gain real world experience, the course will include a guest lecture from a former EPA plant inspector and is tentatively scheduled to include a visit to a local polluting plant.

Subjects

economics | economics | policy | policy | environment | environment | environmental economics | environmental economics | public policy | public policy | cost-benefit analysis | cost-benefit analysis | resource management | resource management | government | government | safety | safety | health | health | regulation | regulation | sustainability | sustainability | public goods | public goods | pollution | pollution | taxes | taxes | green | green | risk | risk | liability | liability | industry | industry | kuznets curves | kuznets curves | trade | trade | competition | competition | growth | growth | double dividend | double dividend | accounting | accounting | hedonic | hedonic | valuation | valuation | global warming | global warming | cost | cost

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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11.125 Exploring K-12 Classroom Teaching (MIT) 11.125 Exploring K-12 Classroom Teaching (MIT)

Description

This subject uses K-12 classroom experiences, along with student-centered classroom activities and student-led classes, to explore issues in schools and education. Students in this course spend time each week observing pre-college math and science classes. Topics of study include design and implementation of curriculum, addressing the needs of a diversity of students, standards in math and science, student misconceptions, methods of instruction, the digital divide, teaching through different media, and student assessment. This subject uses K-12 classroom experiences, along with student-centered classroom activities and student-led classes, to explore issues in schools and education. Students in this course spend time each week observing pre-college math and science classes. Topics of study include design and implementation of curriculum, addressing the needs of a diversity of students, standards in math and science, student misconceptions, methods of instruction, the digital divide, teaching through different media, and student assessment.

Subjects

classroom experiences | classroom experiences | student-centered classroom activities | student-centered classroom activities | student-led classes | student-led classes | issues in schools and education | issues in schools and education | observing | observing | pre-college math and science classes | pre-college math and science classes | design and implementation of curriculum | design and implementation of curriculum | diversity | diversity | standards in math and science | standards in math and science | student misconceptions | student misconceptions | methods of instruction | methods of instruction | the digital divide | the digital divide | teaching through different media | teaching through different media | student assessment | student assessment

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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6.002 Circuits and Electronics (MIT) 6.002 Circuits and Electronics (MIT)

Description

6.002 introduces the fundamentals of the lumped circuit abstraction. Topics covered include: resistive elements and networks; independent and dependent sources; switches and MOS transistors; digital abstraction; amplifiers; energy storage elements; dynamics of first- and second-order networks; design in the time and frequency domains; and analog and digital circuits and applications. Design and lab exercises are also significant components of the course. 6.002 is worth 4 Engineering Design Points. 6.002 introduces the fundamentals of the lumped circuit abstraction. Topics covered include: resistive elements and networks; independent and dependent sources; switches and MOS transistors; digital abstraction; amplifiers; energy storage elements; dynamics of first- and second-order networks; design in the time and frequency domains; and analog and digital circuits and applications. Design and lab exercises are also significant components of the course. 6.002 is worth 4 Engineering Design Points.

Subjects

circuit | circuit | electronic | electronic | abstraction | abstraction | lumped circuit | lumped circuit | digital | digital | amplifier | amplifier | differential equations | differential equations | time behavior | time behavior | energy storage | energy storage | semiconductor diode | semiconductor diode | field-effect | field-effect | field-effect transistor | field-effect transistor | resistor | resistor | source | source | inductor | inductor | capacitor | capacitor | diode | diode | series-parallel reduction | series-parallel reduction | voltage | voltage | current divider | current divider | node method | node method | linearity | linearity | superposition | superposition | Thevenin-Norton equivalent | Thevenin-Norton equivalent | power flow | power flow | Boolean algebra | Boolean algebra | binary signal | binary signal | MOSFET | MOSFET | noise margin | noise margin | singularity functions | singularity functions | sinusoidal-steady-state | sinusoidal-steady-state | impedance | impedance | frequency response curves | frequency response curves | operational amplifier | operational amplifier | Op-Amp | Op-Amp | negative feedback | negative feedback | positive feedback | positive feedback

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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SP.772 Internet Technology in Local and Global Communities (MIT) SP.772 Internet Technology in Local and Global Communities (MIT)

Description

The MIT-Africa Internet Technology Initiative (MIT-AITI) is an innovative approach by MIT students to integrate computers and internet technology into the education of students in African schools. The program focuses upon programming principles, cutting-edge internet technology, free open-source systems, and even an entrepreneurship seminar to introduce students in Africa to the power of technology and to equip them with skills that will allow them to be creative, resourceful, and prosperous. The mission statement of the AITI program is based on the idea that information technology carries the potential to empower people around the globe with knowledge. The AITI program is implemented with emphasis on classroom teaching, community-oriented projects, and independent learning.MIT-AITI achiev The MIT-Africa Internet Technology Initiative (MIT-AITI) is an innovative approach by MIT students to integrate computers and internet technology into the education of students in African schools. The program focuses upon programming principles, cutting-edge internet technology, free open-source systems, and even an entrepreneurship seminar to introduce students in Africa to the power of technology and to equip them with skills that will allow them to be creative, resourceful, and prosperous. The mission statement of the AITI program is based on the idea that information technology carries the potential to empower people around the globe with knowledge. The AITI program is implemented with emphasis on classroom teaching, community-oriented projects, and independent learning.MIT-AITI achiev

Subjects

information technology | information technology | IT | IT | global communities | global communities | digital divide | digital divide | MIT-Africa Internet Technology Initiative | MIT-Africa Internet Technology Initiative | MIT-AITI | MIT-AITI | African countries | African countries | Ethiopia | Ethiopia | Ghana | Ghana | Kenya | Kenya | IT-related issues | IT-related issues | java | java | java server pages | java server pages | JSP | JSP | programming principles | cutting-edge internet technology | programming principles | cutting-edge internet technology | free open-source systems | free open-source systems | entrepreneurship | entrepreneurship

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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6.046J Introduction to Algorithms (SMA 5503) (MIT) 6.046J Introduction to Algorithms (SMA 5503) (MIT)

Description

This course teaches techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice. Topics covered include: sorting; search trees, heaps, and hashing; divide-and-conquer; dynamic programming; amortized analysis; graph algorithms; shortest paths; network flow; computational geometry; number-theoretic algorithms; polynomial and matrix calculations; caching; and parallel computing.This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 5503 (Analysis and Design of Algorithms). This course teaches techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice. Topics covered include: sorting; search trees, heaps, and hashing; divide-and-conquer; dynamic programming; amortized analysis; graph algorithms; shortest paths; network flow; computational geometry; number-theoretic algorithms; polynomial and matrix calculations; caching; and parallel computing.This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 5503 (Analysis and Design of Algorithms).

Subjects

algorithms | algorithms | efficient algorithms | efficient algorithms | sorting | sorting | search trees | search trees | heaps | heaps | hashing | hashing | divide-and-conquer | divide-and-conquer | dynamic programming | dynamic programming | amortized analysis | amortized analysis | graph algorithms | graph algorithms | shortest paths | shortest paths | network flow | network flow | computational geometry | computational geometry | number-theoretic algorithms | number-theoretic algorithms | polynomial and matrix calculations | polynomial and matrix calculations | caching | caching | parallel computing | parallel computing | SMA 5503 | SMA 5503 | 6.046 | 6.046

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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6.046J Introduction to Algorithms (MIT) 6.046J Introduction to Algorithms (MIT)

Description

This course teaches techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice. Topics covered include: sorting; search trees, heaps, and hashing; divide-and-conquer; dynamic programming; amortized analysis; graph algorithms; shortest paths; network flow; computational geometry; number-theoretic algorithms; polynomial and matrix calculations; caching; and parallel computing. This course teaches techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice. Topics covered include: sorting; search trees, heaps, and hashing; divide-and-conquer; dynamic programming; amortized analysis; graph algorithms; shortest paths; network flow; computational geometry; number-theoretic algorithms; polynomial and matrix calculations; caching; and parallel computing.

Subjects

algorithms | algorithms | efficient algorithms | efficient algorithms | sorting | sorting | search trees | search trees | heaps | heaps | hashing | hashing | divide-and-conquer | divide-and-conquer | dynamic programming | dynamic programming | amortized analysis | amortized analysis | graph algorithms | graph algorithms | shortest paths | shortest paths | network flow | network flow | computational geometry | computational geometry | number-theoretic algorithms | number-theoretic algorithms | polynomial and matrix calculations | polynomial and matrix calculations | caching | caching | parallel computing | parallel computing | 6.046 | 6.046 | 18.410 | 18.410

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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11.125 Exploring K-12 Clasroom Teaching (MIT) 11.125 Exploring K-12 Clasroom Teaching (MIT)

Description

Subject uses K-12 classroom experiences, along with student-centered classroom activities and student-led classes, to explore issues in schools and education. Students in this course spend time each week observing pre-college math and science classes. Topics of study include design and implementation of curriculum, addressing the needs of a diversity of students, standards in math and science, student misconceptions, methods of instruction, the digital divide, teaching through different media, and student assessment. Subject uses K-12 classroom experiences, along with student-centered classroom activities and student-led classes, to explore issues in schools and education. Students in this course spend time each week observing pre-college math and science classes. Topics of study include design and implementation of curriculum, addressing the needs of a diversity of students, standards in math and science, student misconceptions, methods of instruction, the digital divide, teaching through different media, and student assessment.

Subjects

classroom experiences | classroom experiences | student-centered classroom activities | student-centered classroom activities | student-led classes | student-led classes | issues in schools and education | issues in schools and education | observing | observing | pre-college math and science classes | pre-college math and science classes | design and implementation of curriculum | design and implementation of curriculum | diversity | diversity | standards in math and science | standards in math and science | student misconceptions | student misconceptions | methods of instruction | methods of instruction | the digital divide | the digital divide | teaching through different media | teaching through different media | student assessment | student assessment

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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6.046J Introduction to Algorithms (SMA 5503) (MIT) 6.046J Introduction to Algorithms (SMA 5503) (MIT)

Description

Includes audio/video content: AV lectures. This course teaches techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice. Topics covered include: sorting; search trees, heaps, and hashing; divide-and-conquer; dynamic programming; amortized analysis; graph algorithms; shortest paths; network flow; computational geometry; number-theoretic algorithms; polynomial and matrix calculations; caching; and parallel computing.This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 5503 (Analysis and Design of Algorithms). Includes audio/video content: AV lectures. This course teaches techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice. Topics covered include: sorting; search trees, heaps, and hashing; divide-and-conquer; dynamic programming; amortized analysis; graph algorithms; shortest paths; network flow; computational geometry; number-theoretic algorithms; polynomial and matrix calculations; caching; and parallel computing.This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 5503 (Analysis and Design of Algorithms).

Subjects

algorithms | algorithms | efficient algorithms | efficient algorithms | sorting | sorting | search trees | search trees | heaps | heaps | hashing | hashing | divide-and-conquer | divide-and-conquer | dynamic programming | dynamic programming | amortized analysis | amortized analysis | graph algorithms | graph algorithms | shortest paths | shortest paths | network flow | network flow | computational geometry | computational geometry | number-theoretic algorithms | number-theoretic algorithms | polynomial and matrix calculations | polynomial and matrix calculations | caching | caching | parallel computing | parallel computing

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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1.204 Computer Algorithms in Systems Engineering (MIT) 1.204 Computer Algorithms in Systems Engineering (MIT)

Description

This course covers concepts of computation used in analysis of engineering systems. It includes the following topics: data structures, relational database representations of engineering data, algorithms for the solution and optimization of engineering system designs (greedy, dynamic programming, branch and bound, graph algorithms, nonlinear optimization), and introduction to complexity analysis. Object-oriented, efficient implementations of algorithms are emphasized. This course covers concepts of computation used in analysis of engineering systems. It includes the following topics: data structures, relational database representations of engineering data, algorithms for the solution and optimization of engineering system designs (greedy, dynamic programming, branch and bound, graph algorithms, nonlinear optimization), and introduction to complexity analysis. Object-oriented, efficient implementations of algorithms are emphasized.

Subjects

databases | databases | data structures | data structures | divide and conquer algorithm | divide and conquer algorithm | greedy algorithm | greedy algorithm | dynamic programming | dynamic programming | branch and bound | branch and bound | linear optimization | linear optimization | nonlinear optimization | nonlinear optimization | approximate queues | approximate queues | network designs | network designs

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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6.046J Design and Analysis of Algorithms (MIT) 6.046J Design and Analysis of Algorithms (MIT)

Description

Techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice. Topics include sorting; search trees, heaps, and hashing; divide-and-conquer; dynamic programming; greedy algorithms; amortized analysis; graph algorithms; and shortest paths. Advanced topics may include network flow, computational geometry, number-theoretic algorithms, polynomial and matrix calculations, caching, and parallel computing. Techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice. Topics include sorting; search trees, heaps, and hashing; divide-and-conquer; dynamic programming; greedy algorithms; amortized analysis; graph algorithms; and shortest paths. Advanced topics may include network flow, computational geometry, number-theoretic algorithms, polynomial and matrix calculations, caching, and parallel computing.

Subjects

sorting | sorting | search trees | search trees | heaps | heaps | hashing | hashing | divide and conquer | divide and conquer | dynamic programming | dynamic programming | greedy algorithms | greedy algorithms | amortized analysis | amortized analysis | graph algorithms | graph algorithms | shortest paths | shortest paths

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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6.006 Introduction to Algorithms (MIT) 6.006 Introduction to Algorithms (MIT)

Description

This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming, and introduces basic performance measures and analysis techniques for these problems. This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems. The course emphasizes the relationship between algorithms and programming, and introduces basic performance measures and analysis techniques for these problems.

Subjects

algorithms | algorithms | python | python | python cost model | python cost model | binary search trees | binary search trees | hashing | hashing | sorting | sorting | searching | searching | shortest paths | shortest paths | dynamic programming | dynamic programming | numerics | numerics | document distance | document distance | longest common substring | longest common substring | dijkstra | dijkstra | fibonacci | fibonacci | image resizing | image resizing | chaining | chaining | hash functions | hash functions | priority queues | priority queues | breadth first search | breadth first search | depth first search | depth first search | memoization | memoization | divide and conquer | divide and conquer

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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6.055J The Art of Approximation in Science and Engineering (MIT) 6.055J The Art of Approximation in Science and Engineering (MIT)

Description

This course teaches simple reasoning techniques for complex phenomena: divide and conquer, dimensional analysis, extreme cases, continuity, scaling, successive approximation, balancing, cheap calculus, and symmetry. Applications are drawn from the physical and biological sciences, mathematics, and engineering. Examples include bird and machine flight, neuron biophysics, weather, prime numbers, and animal locomotion. Emphasis is on low-cost experiments to test ideas and on fostering curiosity about phenomena in the world. This course teaches simple reasoning techniques for complex phenomena: divide and conquer, dimensional analysis, extreme cases, continuity, scaling, successive approximation, balancing, cheap calculus, and symmetry. Applications are drawn from the physical and biological sciences, mathematics, and engineering. Examples include bird and machine flight, neuron biophysics, weather, prime numbers, and animal locomotion. Emphasis is on low-cost experiments to test ideas and on fostering curiosity about phenomena in the world.

Subjects

approximation | approximation | science | science | engineering | engineering | managing complexity | managing complexity | divide and conquer | divide and conquer | heterogeneous hierarchies | heterogeneous hierarchies | homogeneous hierarchies | homogeneous hierarchies | proportional reasoning | proportional reasoning | conservation/box models | conservation/box models | dimensional analysis | dimensional analysis | special cases | special cases | extreme cases | extreme cases | discretization | discretization | spring models | spring models | symmetry | symmetry | invariance | invariance | discarding information | discarding information | oil imports | oil imports | tree representations | tree representations | gold | gold | random walks | random walks | UNIX | UNIX | triangle bisection | triangle bisection | pentagonal heat flow | pentagonal heat flow | jump heights | jump heights | simple calculus | simple calculus | drag | drag | cycling | cycling | swimming | swimming | flying | flying | flight | flight | algebraic symmetry | algebraic symmetry | densities | densities | hydrogen size | hydrogen size | bending of light | bending of light | Buckingham Pi Theorem | Buckingham Pi Theorem | pulley acceleration | pulley acceleration | waves | waves

License

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6.776 High Speed Communication Circuits (MIT) 6.776 High Speed Communication Circuits (MIT)

Description

6.776 covers circuit level design issues of high speed communication systems, with primary focus being placed on wireless and broadband data link applications. Specific circuit topics include transmission lines, high speed and low noise amplifiers, VCO's, mixers, power amps, high speed digital circuits, and frequency synthesizers. In addition to learning analysis skills for the above items, students will gain a significant amount of experience in simulating RF circuits in SPICE and also building RF circuits within a lab project. 6.776 covers circuit level design issues of high speed communication systems, with primary focus being placed on wireless and broadband data link applications. Specific circuit topics include transmission lines, high speed and low noise amplifiers, VCO's, mixers, power amps, high speed digital circuits, and frequency synthesizers. In addition to learning analysis skills for the above items, students will gain a significant amount of experience in simulating RF circuits in SPICE and also building RF circuits within a lab project.

Subjects

integrated circuit design | integrated circuit design | communication systems | communication systems | wireless | wireless | broadband | broadband | data links | data links | circuit blocks | circuit blocks | communication transceivers | communication transceivers | phase-locked loops | phase-locked loops | PLL | PLL | narrowband | narrowband | low-noise | low-noise | amplifiers | amplifiers | mixers | mixers | voltage-controlled oscillators | voltage-controlled oscillators | power amplifiers | power amplifiers | high speed frequency dividers | high speed frequency dividers | passive component design | passive component design | on-chip inductors | on-chip inductors | capacitors | capacitors | transmission line modeling | transmission line modeling | S-parameters | S-parameters | Smith Chart | Smith Chart

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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11.124 Introduction to Education: Looking Forward and Looking Back on Education (MIT) 11.124 Introduction to Education: Looking Forward and Looking Back on Education (MIT)

Description

An introductory course on teaching and learning science and mathematics in a variety of K-12 settings. Topics include education and media, education reform, the history of education, simulations, games, and the digital divide. An introductory course on teaching and learning science and mathematics in a variety of K-12 settings. Topics include education and media, education reform, the history of education, simulations, games, and the digital divide.

Subjects

education | education | teaching | teaching | learning | learning | science | science | mathematics | mathematics | education reform | education reform | education and media | education and media | history of education | history of education | simulations | simulations | games | games | digital divide | digital divide | classroom | classroom | technology | technology

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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11.125 Introduction to Education: Understanding and Evaluating Education (MIT) 11.125 Introduction to Education: Understanding and Evaluating Education (MIT)

Description

This class uses K-12 classroom experiences, along with student-centered classroom activities and student-led classes, to explore issues in schools and education. Students in this course spend time each week observing pre-college math and science classes. Topics of study include design and implementation of curriculum, addressing the needs of a diversity of students, standards in math and science, student misconceptions, methods of instruction, the digital divide, teaching through different media, and student assessment. This class uses K-12 classroom experiences, along with student-centered classroom activities and student-led classes, to explore issues in schools and education. Students in this course spend time each week observing pre-college math and science classes. Topics of study include design and implementation of curriculum, addressing the needs of a diversity of students, standards in math and science, student misconceptions, methods of instruction, the digital divide, teaching through different media, and student assessment.

Subjects

classroom experiences | classroom experiences | student-centered classroom activities | student-centered classroom activities | student-led classes | student-led classes | issues in schools and education | issues in schools and education | observing | observing | pre-college math and science classes | pre-college math and science classes | design and implementation of curriculum | design and implementation of curriculum | diversity | diversity | standards in math and science | standards in math and science | student misconceptions | student misconceptions | methods of instruction | methods of instruction | the digital divide | the digital divide | teaching through different media | teaching through different media | student assessment | student assessment

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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11.957 Frameworks of Urban Governance (MIT) 11.957 Frameworks of Urban Governance (MIT)

Description

Urban governance comprises the various forces, institutions, and movements that guide economic and physical development, the distribution of resources, social interactions, and other aspects of daily life in urban areas. This course examines governance from legal, political, social, and economic perspectives. In addition, we will discuss how these structures constrain collective decision making about particular urban issues (immigration, education…). Assignments will be nightly readings and a short paper relating an urban issue to the frameworks outlined in the class. Urban governance comprises the various forces, institutions, and movements that guide economic and physical development, the distribution of resources, social interactions, and other aspects of daily life in urban areas. This course examines governance from legal, political, social, and economic perspectives. In addition, we will discuss how these structures constrain collective decision making about particular urban issues (immigration, education…). Assignments will be nightly readings and a short paper relating an urban issue to the frameworks outlined in the class.

Subjects

physical development | physical development | urban sector | urban sector | urban politics | urban politics | immigration | immigration | education | education | economics | economics | environment | environment | public finance | public finance | environmental economics | environmental economics | research | research | causation | causation | pigovian taxes | pigovian taxes | coasian | coasian | bost-benefit analysis | bost-benefit analysis | public economics | public economics | hedonic method | hedonic method | valuation | valuation | housing | housing | health effects | health effects | dose-response | dose-response | avoidance | avoidance | household production function | household production function | locational equilibrium | locational equilibrium | policy | policy | regulations | regulations | double dividend | double dividend | climate change | climate change | development | development | markets | markets | labor | labor | workplace | workplace | safety | safety | advertising | advertising | traffic | traffic

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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11.423 Information and Communication Technologies in Community Development (MIT) 11.423 Information and Communication Technologies in Community Development (MIT)

Description

This practicum subject integrates theory and practice through the design, implementation, and evaluation of a comprehensive community information infrastructure that promotes democratic involvement and informs community development projects. Students work with Lawrence Community Works, Inc. to involve constituents and generate solutions to an important planning problem in the City of Lawrence, Massachusetts. Final project presentations take place in a public forum, and serve to inform future development of the information infrastructure. Subject begins with an overview of the digital divide, e-government, public participation GIS, and neighborhood information systems. Subject includes a reflection component and a deliberate investigation of race, class, and gender dynamics. This practicum subject integrates theory and practice through the design, implementation, and evaluation of a comprehensive community information infrastructure that promotes democratic involvement and informs community development projects. Students work with Lawrence Community Works, Inc. to involve constituents and generate solutions to an important planning problem in the City of Lawrence, Massachusetts. Final project presentations take place in a public forum, and serve to inform future development of the information infrastructure. Subject begins with an overview of the digital divide, e-government, public participation GIS, and neighborhood information systems. Subject includes a reflection component and a deliberate investigation of race, class, and gender dynamics.

Subjects

theory and practice | theory and practice | implementation | implementation | evaluation | evaluation | comprehensive community information infrastructure | comprehensive community information infrastructure | democratic involvement | democratic involvement | community development projects | community development projects | Lawrence Community Works | Lawrence Community Works | Inc. | Inc. | planning problem in the City of Lawrence | planning problem in the City of Lawrence | Massachusetts | Massachusetts | the digital divide | the digital divide | e-government | e-government | public participation | public participation | GIS | GIS | neighborhood information systems | neighborhood information systems | Lawrence Community Works | Inc. | Lawrence Community Works | Inc. | planning problem in the City of Lawrence | Massachusetts | planning problem in the City of Lawrence | Massachusetts

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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14.42 Environmental Policy and Economics (MIT) 14.42 Environmental Policy and Economics (MIT)

Description

This course explores the proper role of government in the regulation of the environment. It will help students develop the tools to estimate the costs and benefits of environmental regulations. These tools will be used to evaluate a series of current policy questions, including: Should air and water pollution regulations be tightened or loosened? What are the costs of climate change in the U.S. and abroad? Is there a "Race to the Bottom" in environmental regulation? What is "sustainable development"? How do environmental problems differ in developing countries? Are we running out of oil and other natural resources? Should we be more energy efficient? To gain real world experience, the course is scheduled to include a visit to the MIT cogeneration plant. We will also do This course explores the proper role of government in the regulation of the environment. It will help students develop the tools to estimate the costs and benefits of environmental regulations. These tools will be used to evaluate a series of current policy questions, including: Should air and water pollution regulations be tightened or loosened? What are the costs of climate change in the U.S. and abroad? Is there a "Race to the Bottom" in environmental regulation? What is "sustainable development"? How do environmental problems differ in developing countries? Are we running out of oil and other natural resources? Should we be more energy efficient? To gain real world experience, the course is scheduled to include a visit to the MIT cogeneration plant. We will also do

Subjects

economics | economics | policy | policy | environment | environment | environmental economics | environmental economics | public policy | public policy | cost-benefit analysis | cost-benefit analysis | resource management | resource management | environmental regulation | environmental regulation | health | health | sustainability | sustainability | public goods | public goods | pollution | pollution | Pigouvian taxes | Pigouvian taxes | liability | liability | kuznets curves | kuznets curves | competition | competition | growth | growth | double dividend | double dividend | hedonic | hedonic | valuation | valuation | global warming | global warming | Porter hypothesis | Porter hypothesis | social choice | social choice | carbon offsets | carbon offsets | clean development | clean development | renewables | renewables

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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14.475 Environmental Economics and Government Responses to Market Failure (MIT) 14.475 Environmental Economics and Government Responses to Market Failure (MIT)

Description

This course explores the theory behind and evidence on regulatory, tax, and other government responses to problems of market failure. Special emphasis is given to developing and implementing tools to evaluate environmental policies. Other topics include cost-benefit analysis, measurement of the benefits of non-market goods and costs of regulations, and the evaluation of the impact of regulations in areas such as financial markets, workplace health and safety, consumer product safety, and other contexts. This course explores the theory behind and evidence on regulatory, tax, and other government responses to problems of market failure. Special emphasis is given to developing and implementing tools to evaluate environmental policies. Other topics include cost-benefit analysis, measurement of the benefits of non-market goods and costs of regulations, and the evaluation of the impact of regulations in areas such as financial markets, workplace health and safety, consumer product safety, and other contexts.

Subjects

economics | economics | environment | environment | public finance | public finance | environmental economics | environmental economics | research | research | causation | causation | pigovian taxes | pigovian taxes | coasian | coasian | bost-benefit analysis | bost-benefit analysis | public economics | public economics | hedonic method | hedonic method | valuation | valuation | housing | housing | health effects | health effects | dose-response | dose-response | avoidance | avoidance | household production function | household production function | locational equilibrium | locational equilibrium | policy | policy | regulations | regulations | double dividend | double dividend | climate change | climate change | development | development | markets | markets | labor | labor | workplace | workplace | safety | safety | advertising | advertising | traffic | traffic

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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15.414 Financial Management (MIT) 15.414 Financial Management (MIT)

Description

Financial Management studies corporate finance and capital markets, emphasizing the financial aspects of managerial decisions. It touches on all areas of finance, including the valuation of real and financial assets, risk management and financial derivatives, the trade-off between risk and expected return, and corporate financing and dividend policy. The course draws heavily on empirical research to help guide managerial decisions. Financial Management studies corporate finance and capital markets, emphasizing the financial aspects of managerial decisions. It touches on all areas of finance, including the valuation of real and financial assets, risk management and financial derivatives, the trade-off between risk and expected return, and corporate financing and dividend policy. The course draws heavily on empirical research to help guide managerial decisions.

Subjects

finance | finance | corporate finance | corporate finance | capital markets | capital markets | managerial decisions | managerial decisions | financial assets | financial assets | risk management | risk management | financial derivatives | financial derivatives | expected return | expected return | risk | risk | dividend policy | dividend policy | empirical research | empirical research | futures | futures | options markets | options markets | valuation | valuation | budgeting | budgeting | portfolio theory | portfolio theory | investments | investments | projects | projects | company | company | companies | companies | return | return | stocks | stocks | bonds | bonds | pricing | pricing | options | options | markets | markets | management | management | capital | capital | assets | assets | derivatives | derivatives | financial | financial | firms | firms

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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15.402 Finance Theory II (MIT) 15.402 Finance Theory II (MIT)

Description

The objective of this course is to learn the financial tools needed to make good business decisions. The course presents the basic insights of corporate finance theory, but emphasizes the application of theory to real business decisions. Each session involves class discussion, some centered on lectures and others around business cases. The objective of this course is to learn the financial tools needed to make good business decisions. The course presents the basic insights of corporate finance theory, but emphasizes the application of theory to real business decisions. Each session involves class discussion, some centered on lectures and others around business cases.

Subjects

business decisions | business decisions | capital structure | capital structure | financial | financial | corporate finance | corporate finance | corporate strategy | corporate strategy | debt | debt | equity | equity | company valuation | company valuation | cash flow | cash flow | investment projects | investment projects | risk management | risk management | corporate governance | corporate governance | financial management | financial management | financial statements | financial statements | financial analysis | financial analysis | finance | finance | theory | theory | corporate | corporate | management | management | capital | capital | investment | investment | decisions | decisions | security | security | dividend | dividend | policy | policy | optimal | optimal | structure | structure | hedging | hedging | risk | risk | futures | futures | markets | markets | options | options | real options | real options | analysis | analysis | cases | cases | business | business | project | project | company | company | valuation | valuation | financing | financing | investments | investments | governance | governance | statements | statements

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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15.518 Taxes and Business Strategy (MIT) 15.518 Taxes and Business Strategy (MIT)

Description

Traditional finance and other business courses analyze a broad spectrum of factors affecting business decision-making but typically give little systematic consideration to the role of taxes. In contrast, traditional tax accounting courses concentrate on administrative issues while ignoring the richness of the context in which tax factors operate. The objective of the course is to bridge this gap by providing a framework for recognizing tax planning opportunities and applying basic principles of tax strategy. Traditional finance and other business courses analyze a broad spectrum of factors affecting business decision-making but typically give little systematic consideration to the role of taxes. In contrast, traditional tax accounting courses concentrate on administrative issues while ignoring the richness of the context in which tax factors operate. The objective of the course is to bridge this gap by providing a framework for recognizing tax planning opportunities and applying basic principles of tax strategy.

Subjects

decision making | decision making | planning | planning | arbitrage | arbitrage | tax | tax | investment | investment | analysis | analysis | ompensation | ompensation | stock option | stock option | compensation | compensation | capital | capital | dividend | dividend | merger | merger | acquisition | acquisition | law | law | reform | reform | stragegy | stragegy | finance | finance

License

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htm

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