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DecisionTools Suite includes @RISK, which adds risk analysis to Excel using Monte Carlo simulation, PrecisonTree for visual decision tree analysis, TopRank for what-if analysis, NeuralTools and StatTools for data analysis, RISKOptimizer and Evolver for optimization, and BigPicture for mind mapping, diagramming, and data exploration.
The DecisionTools Suite is an integrated set of programs for risk analysis and decision making under uncertainty that runs in Microsoft Excel. The DecisionTools Suite includes @RISK, which adds risk analysis to Excel using Monte Carlo simulation, PrecisonTree for visual decision tree analysis, TopRank for what-if analysis, NeuralTools and StatTools for data analysis and RISKOptimiser and Evolver for optimisation. Rounding out the Suite is BigPicture for mind mapping, diagramming and data exploration.
Next steps for SEPT include refining the software and cloning the code so it can be replicated within the DHS network. Developers will create user guides with sample scenarios to ensure the decision support tool can be implemented quickly and easily. It is expected to be rolled out for use by DHS headquarters and field personnel by the end of the year.
The Decision Tool Suite is a complete risk and decision analysis toolkit for Microsoft Excel. It is used in courses such as 15.060 Data, Models, and Decisions. The DecisionTools Suite is an integrated set of programs for risk analysis and decision-making under uncertainty. It only runs on a Windows computer.
RStudio is an integrated development environment for R and Python, with a console, syntax-highlighting editor that supports direct code execution, and tools for plotting, history, debugging, and workspace management.
The Acumen intelligent decision support suite lets you detect and proactively manage haemodynamic instability, which can lead to hypotension and its associated risks. It also provides retrospective analysis for the management of hypotension.3,4
In the Rick and Mary Lee Bastin Financial Leadership Lab students and faculty have access to a wide range of data feeds and analytical tools. The lab is equipped with 28 student terminals and 1 instructor terminal. All terminals have 34-inch curved monitors and feature powerful processors. In addition to software available in other labs, the Bastin Lab also provides access to the following list of specialized software.
Morningstar Direct is an investment analysis platform that provides access to all Morningstar data and institutional research as well as private and third-party content. Students can access global databases of company fundamentals, mutual funds, ETFs, funds of funds as well as hedge funds. Morningstar Direct (through QuoteSpeed) provides real-time access to stocks, options, futures, and commodities data. It also includes rigorous portfolio analysis and performance attribution tools. Students have the chance to get a certification from Morningstar after demonstrating their ability to use the platform.
The Bloomberg terminal provides access to the Bloomberg professional service. It enables finance professionals to gain access to real-time data on every market, breaking news, trading tools and powerful analytics. It is used by all major financial institutions in the world. Most of the finance classes taught at the Baker School of business make extensive use of the Bloomberg Terminals and students have the opportunity to become certified users on Bloomberg and increase their employability.
A study conducted in 2019 revealed that at least $6 are saved for every $1 invested in reducing vulnerability to natural hazards. For stakeholders to accurately assess the value of resilience in future infrastructure investments, they must be able to understand and incorporate the costs and benefits of resilience into the transportation planning decision-making process. This is a difficult evaluation to make, considering that future conditions and hazards are highly uncertain.
On August 1, 2022, the U.S. DOT Volpe Center released the first public version of the Resilience and Disaster Recovery (RDR) Tool Suite (V. 2022.1), which enables transportation planners to calculate the return on investment (ROI) for transportation infrastructure resilience projects across a range of uncertain hazard scenarios. The Resilience and Disaster Recovery (RDR) Tool Suite was developed by the U.S. DOT Volpe Center in support of the Office of the Assistant Secretary for Research and Technology (OST-R). The RDR Tool Suite is designed to help transportation agencies explore the scenario space for transportation disruption and mitigation across a range of uncertain future hazards (e.g., floods, earthquakes, etc.) in the context of long-range transportation planning. The RDR Tool Suite leverages standard travel demand modeling that is widely used by transportation agencies. The tool allows agencies to incorporate the cost and benefits of resilience into the transportation planning decision-making process to make informed decisions on future infrastructure investments. The U.S. DOT Volpe Center developed this tool suite from its conceptualization through to implementation.
In a rapidly urbanizing world, the design of cities will determine the health and wellbeing of billions of people. Urban InVEST provides tools to show how incorporating the value of nature into urban design can deliver better outcomes for people and the planet.
PEST++ Version 5 extends and enhances the functionality of the PEST++ Version 3 software suite, providing environmental modeling practitioners access to updated Version 3 tools as well as new tools to support decision making with environmental models. Version 5 of PEST++ includes tools for global sensitivity analysis (PESTPP-SEN); least-squares parameter estimation with integrated first-order, second-moment parameter and forecast uncertainty estimation (PESTPP-GLM); an iterative, localized ensemble smoother (PESTPP-IES); and a tool for management optimization under uncertainty (PESTPP-OPT). Additionally, all PEST++ Version 5 tools have a built-in fault-tolerant, multithreaded parallel run manager and are model independent, using the same protocol as the widely used PEST software suite.
The PEST++ Version 5 software suite can be compiled for Microsoft Windows and Unix-based operating systems such as Apple and Linux; the source code is available with a Microsoft Visual Studio 2019 solution; and CMake support for all three operating system is also provided. PEST++ Version 5 continues to build a foundation for an open-source framework capable of producing model-independent, robust, and efficient decision-support tools for large environmental models. The functionality of each of the PEST++ tools are demonstrated on a simple example problem. Implications of decisions used when using the PEST++ suite tools are also discussed.
Asset Investment Planning and Management (AIPM) is a best practice in asset management that embodies the key principles of ISO 55000 and empowers businesses to make the highest-value investment decisions. These best practices are embodied in the Copperleaf AIPM methodology and our decision analytics software suite, which has been adopted by organizations managing critical infrastructure across the globe.
Accurate forecasting of asset risks and costs empowers organizations to make smarter investment and sustainment decisions. Copperleaf forecasts both the long-term baseline risk of the asset base and the long-term outcome risk of different asset sustainment strategies, allowing organizations to better understand risk and cost trade-offs for the entire asset population.
A value-based approach takes business case development from an art to a science. Every investment is assessed in terms of how it delivers value and contributes to the realization of your strategy. Applying data-driven decision analytics on these investments establishes a clear focus on the initiatives that drive your strategic goals and results in plans that significantly improve business performance.
FICO is known as the company that introduced the world to credit scoring. Before us, bankers made lending decisions with human judgement. We removed the human bias and applied smart mathematics to make lending fairer.
For analog simulation, Sican has chosen the Mentor Graphics Eldo circuit simulator. Eldo, the analog circuit simulator of choice for IC silicon vendors and design centers, features multiple simulation algorithms enabling an industry-leading combination of speed and accuracy. The Eldo circuit simulator is three-times faster than current industry standard circuit simulators and its high-performance simulation kernel is especially suited for very large circuits.
The final component of this comprehensive deal is BSDArchitect. BSDArchitect automatically generates boundary-scan logic in ASIC and IC designs before design synthesis, expediting board and multi-chip module (MCM) testing. BSDArchitect also enables testing of ASICs using techniques such as Built-in Self Test (BIST). Using BSDArchitect, designers can add boundary scan early in the design process, thus reducing iterations. The tool is completely flexible in the configuration of the test controller, supporting all public and user-defined instructions. BSDArchitect also maps to technology-specific boundary scan tools and provides a comprehensive verification of 1149.1 compliance. For more information visit or
The model is validated through a case study of a mega sanitation project located in Egypt. The model output is not only the content of the packages but also a complete managing plan which demonstrates many useful information to the decision-makers and government officials.
Interpretive Summary: When water quantity or water quality is of interest, watersheds are a natural organizing unit in our landscape. The pathways and processes that affect runoff generation from a watershed result from a complex interaction of the climate, topography, soils, land cover, and land use. Numerous computer models have been developed to estimate how a watershed produces runoff from rainfall and snowfall. The KINEROS2 and SWAT models are two common examples. These models often require significant data preparation and input to use them. To expedite this task we have developed the AGWA (Automated Geospatial Watershed Assessment hydrologic modeling tool which uses nationally available spatial data sets to setup, run, and display the results from KINEROS2 and SWAT. With these tools, natural resource managers, engineers, and scientists can estimate runoff and places in the watershed that may be prone to flood damage or water quality problems. These users can also evaluate how conservation measures and changes in land use practices might improve water quality. This paper provides an overview of the KINEROS2 and AGWA tools with selected examples of its application for a variety of uses and in the larger context, discusses how these tools are components of a more general watershed management framework, which embodies decision tools, scenario development and both market and non-market valuation of watershed services.
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