Searching for forecasting : 26 results found | RSS Feed for this search
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12.990 Prediction and Predictability in the Atmosphere and Oceans (MIT) 12.990 Prediction and Predictability in the Atmosphere and Oceans (MIT)
Description
Forecasting is the ultimate form of model validation. But even if a perfect model is in hand, imperfect forecasts are likely. This course will cover the factors that limit our ability to produce good forecasts, will show how the quality of forecasts can be gauged a priori (predicting our ability to predict!), and will cover the state of the art in operational atmosphere and ocean forecasting systems. Forecasting is the ultimate form of model validation. But even if a perfect model is in hand, imperfect forecasts are likely. This course will cover the factors that limit our ability to produce good forecasts, will show how the quality of forecasts can be gauged a priori (predicting our ability to predict!), and will cover the state of the art in operational atmosphere and ocean forecasting systems.
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
12.990 Prediction and Predictability in the Atmosphere and Oceans (MIT)
Description
Forecasting is the ultimate form of model validation. But even if a perfect model is in hand, imperfect forecasts are likely. This course will cover the factors that limit our ability to produce good forecasts, will show how the quality of forecasts can be gauged a priori (predicting our ability to predict!), and will cover the state of the art in operational atmosphere and ocean forecasting systems.
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 https://ocw.mit.edu/terms/index.htm
2.854 Manufacturing Systems I (SMA 6304) (MIT) 2.854 Manufacturing Systems I (SMA 6304) (MIT)
Description
As the first in a sequence of four half-term courses, this course will provide the fundamental building blocks for conceptualizing, understanding and optimizing manufacturing systems and supply chains. These building blocks include process analysis, queuing theory, simulation, forecasting, inventory theory and linear programming.
This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 6304 (Manufacturing Systems I: Analytical Methods and Flow Models). As the first in a sequence of four half-term courses, this course will provide the fundamental building blocks for conceptualizing, understanding and optimizing manufacturing systems and supply chains. These building blocks include process analysis, queuing theory, simulation, forecasting, inventory theory and linear programming.
This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 6304 (Manufacturing Systems I: Analytical Methods and Flow Models).
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
15.075 Applied Statistics (MIT) 15.075 Applied Statistics (MIT)
Description
This course is an introduction to applied statistics and data analysis. Topics include collecting and exploring data, basic inference, simple and multiple linear regression, analysis of variance, nonparametric methods, and statistical computing. It is not a course in mathematical statistics, but provides a balance between statistical theory and application. Prerequisites are calculus, probability, and linear algebra.
We would like to acknowledge the contributions that Prof. Roy Welsch (MIT), Prof. Gordon Kaufman (MIT), Prof. Jacqueline Telford (Johns Hopkins University), and Prof. Ramón León (University of Tennessee) have made to the course material. This course is an introduction to applied statistics and data analysis. Topics include collecting and exploring data, basic inference, simple and multiple linear regression, analysis of variance, nonparametric methods, and statistical computing. It is not a course in mathematical statistics, but provides a balance between statistical theory and application. Prerequisites are calculus, probability, and linear algebra.
We would like to acknowledge the contributions that Prof. Roy Welsch (MIT), Prof. Gordon Kaufman (MIT), Prof. Jacqueline Telford (Johns Hopkins University), and Prof. Ramón León (University of Tennessee) have made to the course material.
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
ESD.260J Logistics Systems (MIT) ESD.260J Logistics Systems (MIT)
Description
This course is a survey of analytic tools, approaches, and techniques which are useful in the design and operation of logistics systems and integrated supply chains. The material is taught from a managerial perspective, with an emphasis on where and how specific tools can be used to improve the overall performance and reduce the total cost of a supply chain. There is a strong emphasis on the development and use of fundamental models to illustrate the underlying concepts involved in both intra- and inter-company logistics operations. The following topics are covered: demand forecasting tools, inventory control algorithms, transportation operations and management, vehicle routing, scheduling, fleet dispatching algorithms and approaches, optimization of transportation carrier operations, supp This course is a survey of analytic tools, approaches, and techniques which are useful in the design and operation of logistics systems and integrated supply chains. The material is taught from a managerial perspective, with an emphasis on where and how specific tools can be used to improve the overall performance and reduce the total cost of a supply chain. There is a strong emphasis on the development and use of fundamental models to illustrate the underlying concepts involved in both intra- and inter-company logistics operations. The following topics are covered: demand forecasting tools, inventory control algorithms, transportation operations and management, vehicle routing, scheduling, fleet dispatching algorithms and approaches, optimization of transportation carrier operations, supp
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
2.853 Manufacturing Systems I: Analytical Methods and Flow Models (MIT) 2.853 Manufacturing Systems I: Analytical Methods and Flow Models (MIT)
Description
Provides ways to conceptualize and analyze manufacturing systems and supply chains in terms of material flow, information flow, capacities, and flow times. Fundamental building blocks: inventory and queuing models, forecasting and uncertainty, optimization, process analysis, linear systems and system dynamics. Factory planning: flow planning, bottleneck characterization, buffer and batch-size tactics, seasonal planning, dynamics and learning for various process flow topologies and for various market contexts.Technical RequirementsMicrosoft® Excel software is recommended for viewing the .xls files found on this course site. Free  Microsoft® Excel viewer software can also be used to view the .xls files.Microsoft® is a registered trademark Provides ways to conceptualize and analyze manufacturing systems and supply chains in terms of material flow, information flow, capacities, and flow times. Fundamental building blocks: inventory and queuing models, forecasting and uncertainty, optimization, process analysis, linear systems and system dynamics. Factory planning: flow planning, bottleneck characterization, buffer and batch-size tactics, seasonal planning, dynamics and learning for various process flow topologies and for various market contexts.Technical RequirementsMicrosoft® Excel software is recommended for viewing the .xls files found on this course site. Free  Microsoft® Excel viewer software can also be used to view the .xls files.Microsoft® is a registered trademark
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
11.953 Comparative Land Use and Transportation Planning (MIT) 11.953 Comparative Land Use and Transportation Planning (MIT)
Description
This course focuses on the land use-transportation "interaction space" in metropolitan settings. The course aims to develop an understanding of relevant theories and analytical techniques, through the exploration of various cases drawn from different parts of the world. The course begins with an overview of the role of transportation in patterns of urban development and metropolitan growth. It introduces the concept of accessibility and related issues of individual and firm travel demand. Later in the semester, students will explore the influence of the metropolitan built environment on travel behavior and the role of transportation on metropolitan land development. The course will conclude with an examination of the implications of the land use-transportation interaction space for metro This course focuses on the land use-transportation "interaction space" in metropolitan settings. The course aims to develop an understanding of relevant theories and analytical techniques, through the exploration of various cases drawn from different parts of the world. The course begins with an overview of the role of transportation in patterns of urban development and metropolitan growth. It introduces the concept of accessibility and related issues of individual and firm travel demand. Later in the semester, students will explore the influence of the metropolitan built environment on travel behavior and the role of transportation on metropolitan land development. The course will conclude with an examination of the implications of the land use-transportation interaction space for metro
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
11.484 Project Appraisal in Developing Countries (MIT) 11.484 Project Appraisal in Developing Countries (MIT)
Description
This course covers techniques of financial analysis of investment expenditures as well as the economic and distributive appraisal of those projects. The course gives special consideration to cases in the developing world. Students will engage in a critical analysis of these tools and their role in the political economy of international development. The course will cover topics such as alternative planning strategies for conditions of uncertainty; organizations and project cycle management; the political environment; and interactions of clients and advisers, engineers, planners, policy analysts, and other professionals.
Introductory micro-economics is a pre-requisite for this course. This course covers techniques of financial analysis of investment expenditures as well as the economic and distributive appraisal of those projects. The course gives special consideration to cases in the developing world. Students will engage in a critical analysis of these tools and their role in the political economy of international development. The course will cover topics such as alternative planning strategies for conditions of uncertainty; organizations and project cycle management; the political environment; and interactions of clients and advisers, engineers, planners, policy analysts, and other professionals.
Introductory micro-economics is a pre-requisite for this course.
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
12.103 Science and Policy of Natural Hazards (MIT) 12.103 Science and Policy of Natural Hazards (MIT)
Description
This course examines the science of natural catastrophes such as earthquakes and hurricanes and explores the relationships between the science of and policy toward such hazards. It presents the causes and effects of these phenomena, discusses their predictability, and examines how this knowledge influences policy making. This course includes intensive practice in the writing and presentation of scientific research and summaries for policy makers. This course examines the science of natural catastrophes such as earthquakes and hurricanes and explores the relationships between the science of and policy toward such hazards. It presents the causes and effects of these phenomena, discusses their predictability, and examines how this knowledge influences policy making. This course includes intensive practice in the writing and presentation of scientific research and summaries for policy makers.
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
ESD.85J Integrating Doctoral Seminar on Emerging Technologies (MIT) ESD.85J Integrating Doctoral Seminar on Emerging Technologies (MIT)
Description
This team-taught subject is for doctoral students working on emerging technologies at the interface of technology, policy and societal issues. It integrates concepts of research strategy and design from a variety of disciplines. The class addresses problem identification and formulation of research topics, the role of qualitative and quantitative research methods, and the use of various data collection techniques. Coursework focuses on students' thesis proposals, faculty-student study panels, critical evaluation of research design, and ethical issues in conducting research and gathering data. This team-taught subject is for doctoral students working on emerging technologies at the interface of technology, policy and societal issues. It integrates concepts of research strategy and design from a variety of disciplines. The class addresses problem identification and formulation of research topics, the role of qualitative and quantitative research methods, and the use of various data collection techniques. Coursework focuses on students' thesis proposals, faculty-student study panels, critical evaluation of research design, and ethical issues in conducting research and gathering data.
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
15.761 Operations Management (MIT) 15.761 Operations Management (MIT)
Description
This course will introduce concepts and techniques for design, planning and control of manufacturing and service operations. The course provides basic definitions of operations management terms, tools and techniques for analyzing operations, and strategic context for making operational decisions. We present the material in five modules:
Operations Analysis
Coordination and Planning
Quality Management
Project Management
Logistics and Supply Chain Management This course will introduce concepts and techniques for design, planning and control of manufacturing and service operations. The course provides basic definitions of operations management terms, tools and techniques for analyzing operations, and strategic context for making operational decisions. We present the material in five modules:
Operations Analysis
Coordination and Planning
Quality Management
Project Management
Logistics and Supply Chain Management
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
15.387 Entrepreneurial Sales (MIT) 15.387 Entrepreneurial Sales (MIT)
Description
This course outlines the practical and tactical ins and outs of how to sell technical products to a sophisticated marketplace. How to build and manage a sales force; building compensation systems for a sales force, assigning territories, resolving disputes, and dealing with channel conflicts. Focus on selling to customers, whether through a direct salesforce, a channel salesforce, or building an OEM relationship. This course outlines the practical and tactical ins and outs of how to sell technical products to a sophisticated marketplace. How to build and manage a sales force; building compensation systems for a sales force, assigning territories, resolving disputes, and dealing with channel conflicts. Focus on selling to customers, whether through a direct salesforce, a channel salesforce, or building an OEM relationship.
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
Sun in January, and predicting a hot summer because of it
License
No known copyright restrictions
Decision Making and Problem Solving for BusinessSuccess - reading pack
Description
Reading pack to accompany Decision Making and Problem Solving for Business Success workbook.
License
Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales Attribution-Noncommercial-Share Alike 2.0 UK: England & Wales
http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ http://creativecommons.org/licenses/by-nc-sa/2.0/uk/
DE1V35 IT in Business – Advanced Spreadsheets
Description
This unit is about developing spreadsheet skills to be able to manage, analyse and forecast data. This unit would be suitable for candidates wishing to be proficient in advanced spreadsheet features and techniques within a numeric working environment. There are three separate outcomes. On completion of the unit, the candidate should be able to: 1. Use a wide range of data management features in a spreadsheet. 2. Use spreadsheet analysis tools. 3. Forecast statistical data using a spreadsheet application. This package contains a zip file of student files (download to extract).
License
Licensed to colleges in Scotland only Licensed to colleges in Scotland only
Except where expressly indicated otherwise on the face of these materials (i) copyright in these materials is owned by the Scottish Qualification Authority (SQA), and (ii) none of these materials may be Used without the express, prior, written consent of the Colleges Open Learning Exchange Group (COLEG) and SQA, except if and to the extent that such Use is permitted under COLEG's conditions of Contribution and Use of Learning Materials through COLEG’s Repository for the purposes of which these materials are COLEG Materials. Except where expressly indicated otherwise on the face of these materials (i) copyright in these materials is owned by the Scottish Qualification Authority (SQA), and (ii) none of these materials may be Used without the express, prior, written consent of the Colleges Open Learning Exchange Group (COLEG) and SQA, except if and to the extent that such Use is permitted under COLEG's conditions of Contribution and Use of Learning Materials through COLEG’s Repository for the purposes of which these materials are COLEG Materials.
http://content.resourceshare.ac.uk/xmlui/bitstream/handle/10949/17761/LicenceSQAMaterialsCOLEG.pdf?sequence=1 http://content.resourceshare.ac.uk/xmlui/bitstream/handle/10949/17761/LicenceSQAMaterialsCOLEG.pdf?sequence=1
SQA
Economic legacy of the Olympics
Description
This resource guide focuses on the economic impact of the 2012 Games and shows it to be a multifaceted and complex issues, with reference to the discrepancies in forecasting between ex and ante studies. A very comprehensive annotated bibliography is a list of citations to IOC papers, market research reports, government reports, academic journal articles and periodicals, supported by a brief descriptive and evaluative paragraph.
15.761 Operations Management (MIT)
Description
This course will introduce concepts and techniques for design, planning and control of manufacturing and service operations. The course provides basic definitions of operations management terms, tools and techniques for analyzing operations, and strategic context for making operational decisions. We present the material in five modules:
Operations Analysis
Coordination and Planning
Quality Management
Project Management
Logistics and Supply Chain Management
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 https://ocw.mit.edu/terms/index.htm
2.854 Manufacturing Systems I (SMA 6304) (MIT)
Description
As the first in a sequence of four half-term courses, this course will provide the fundamental building blocks for conceptualizing, understanding and optimizing manufacturing systems and supply chains. These building blocks include process analysis, queuing theory, simulation, forecasting, inventory theory and linear programming.
This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 6304 (Manufacturing Systems I: Analytical Methods and Flow Models).
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 https://ocw.mit.edu/terms/index.htm
15.075 Applied Statistics (MIT)
Description
This course is an introduction to applied statistics and data analysis. Topics include collecting and exploring data, basic inference, simple and multiple linear regression, analysis of variance, nonparametric methods, and statistical computing. It is not a course in mathematical statistics, but provides a balance between statistical theory and application. Prerequisites are calculus, probability, and linear algebra.
We would like to acknowledge the contributions that Prof. Roy Welsch (MIT), Prof. Gordon Kaufman (MIT), Prof. Jacqueline Telford (Johns Hopkins University), and Prof. Ramón León (University of Tennessee) have made to the course material.
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 https://ocw.mit.edu/terms/index.htm
ESD.260J Logistics Systems (MIT)
Description
This course is a survey of analytic tools, approaches, and techniques which are useful in the design and operation of logistics systems and integrated supply chains. The material is taught from a managerial perspective, with an emphasis on where and how specific tools can be used to improve the overall performance and reduce the total cost of a supply chain. There is a strong emphasis on the development and use of fundamental models to illustrate the underlying concepts involved in both intra- and inter-company logistics operations. The following topics are covered: demand forecasting tools, inventory control algorithms, transportation operations and management, vehicle routing, scheduling, fleet dispatching algorithms and approaches, optimization of transportation carrier operations, supp
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 https://ocw.mit.edu/terms/index.htm
2.853 Manufacturing Systems I: Analytical Methods and Flow Models (MIT)
Description
Provides ways to conceptualize and analyze manufacturing systems and supply chains in terms of material flow, information flow, capacities, and flow times. Fundamental building blocks: inventory and queuing models, forecasting and uncertainty, optimization, process analysis, linear systems and system dynamics. Factory planning: flow planning, bottleneck characterization, buffer and batch-size tactics, seasonal planning, dynamics and learning for various process flow topologies and for various market contexts.Technical RequirementsMicrosoft® Excel software is recommended for viewing the .xls files found on this course site. Free  Microsoft® Excel viewer software can also be used to view the .xls files.Microsoft® is a registered trademark
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 https://ocw.mit.edu/terms/index.htm
15.387 Entrepreneurial Sales (MIT)
Description
This course outlines the practical and tactical ins and outs of how to sell technical products to a sophisticated marketplace. How to build and manage a sales force; building compensation systems for a sales force, assigning territories, resolving disputes, and dealing with channel conflicts. Focus on selling to customers, whether through a direct salesforce, a channel salesforce, or building an OEM relationship.
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 https://ocw.mit.edu/terms/index.htm
12.103 Science and Policy of Natural Hazards (MIT)
Description
This course examines the science of natural catastrophes such as earthquakes and hurricanes and explores the relationships between the science of and policy toward such hazards. It presents the causes and effects of these phenomena, discusses their predictability, and examines how this knowledge influences policy making. This course includes intensive practice in the writing and presentation of scientific research and summaries for policy makers.
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 https://ocw.mit.edu/terms/index.htm
11.953 Comparative Land Use and Transportation Planning (MIT)
Description
This course focuses on the land use-transportation "interaction space" in metropolitan settings. The course aims to develop an understanding of relevant theories and analytical techniques, through the exploration of various cases drawn from different parts of the world. The course begins with an overview of the role of transportation in patterns of urban development and metropolitan growth. It introduces the concept of accessibility and related issues of individual and firm travel demand. Later in the semester, students will explore the influence of the metropolitan built environment on travel behavior and the role of transportation on metropolitan land development. The course will conclude with an examination of the implications of the land use-transportation interaction space for metro
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 https://ocw.mit.edu/terms/index.htm
ESD.85J Integrating Doctoral Seminar on Emerging Technologies (MIT)
Description
This team-taught subject is for doctoral students working on emerging technologies at the interface of technology, policy and societal issues. It integrates concepts of research strategy and design from a variety of disciplines. The class addresses problem identification and formulation of research topics, the role of qualitative and quantitative research methods, and the use of various data collection techniques. Coursework focuses on students' thesis proposals, faculty-student study panels, critical evaluation of research design, and ethical issues in conducting research and gathering data.
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 https://ocw.mit.edu/terms/index.htm
