Pressure within the system, exploitation of gaps within organizations and exploitation of some Supply Chain Management system particularly those that use a tendering process are facing serious challenges. The current labour intensive, complex procedures and big volume documents are not helping the situation. Something needs to be done, pronto.
We are proposing a generic high tech, low touch, just in time, dynamic Demand Chain Management system on the shop floor.

Short Description:
Disruptive Technologies With Applications in Airline, Marine, Defense Industries is our fifth textbook in a series covering the world of Unmanned Vehicle Systems Applications & Operations On Air, Sea, and Land. The authors have expanded their purview beyond UAS / CUAS / UUV systems that we have written extensively about in our previous four textbooks. Our new title shows our concern for the emergence of Disruptive Technologies and how they apply to the Airline, Marine and Defense industries. Emerging technologies are technologies whose development, practical applications, or both are still largely unrealized, such that they are figuratively emerging into prominence from a background of nonexistence or obscurity. A Disruptive technology is one that displaces an established technology and shakes up the industry or a ground-breaking product that creates a completely new industry.That is what our book is about. The authors think we have found technology trends that will replace the status quo or disrupt the conventional technology paradigms.The authors have collaborated to write some explosive chapters in Book 5:Advances in Automation & Human Machine Interface; Social Media as a Battleground in Information Warfare (IW); Robust cyber-security alterative / replacement for the popular Blockchain Algorithm and a clean solution for Ransomware; Advanced sensor technologies that are used by UUVs for munitions characterization, assessment, and classification and counter hostile use of UUVs against U.S. capital assets in the South China Seas. Challenged the status quo and debunked the climate change fraud with verifiable facts; Explodes our minds with nightmare technologies that if they come to fruition may do more harm than good; Propulsion and Fuels: Disruptive Technologies for Submersible Craft Including UUVs; Challenge the ammunition industry by grassroots use of recycled metals; Changing landscape of UAS regulations and drone privacy; and finally, Detailing Bioterrorism Risks, Biodefense, Biological Threat Agents, and the need for advanced sensors to detect these attacks.

Long Description:
Disruptive Technologies With Applications in Airline, Marine, Defense Industries is the authors fifth textbook in a series covering the world of Unmanned Vehicle Systems & Operations On Air, Sea, Land; Counter Unmanned Aircraft Systems Technologies and Operations; Unmanned Aircraft Systems in the Cyber Domain: Protecting USA’s Advanced Air Assets, 2nd edition; and Unmanned Aircraft Systems (UAS) in the Cyber Domain Protecting USA’s Advanced Air Assets, 1st edition; have seen considerable global recognition in the field. (Nichols R. K., et al., 2020) (Nichols R. , et al., 2020) (Nichols R. , et al., 2019) (Nichols R. K., 2018)

The authors have expanded their purview beyond UAS / CUAS / UUV systems which they have written extensively about in our previous four textbooks. Our new title shows our concern for the emergence of Disruptive Technologies and how they apply to the Airline, Marine and Defense industries.

There is a difference between emerging technology trends and disruptive ones. Emerging technologies are technologies whose development, practical applications, or both are still largely unrealized, such that they are figuratively emerging into prominence from a background of nonexistence or obscurity. Some sources say that emerging technologies are taking over the world by a storm and if misused, it could turn out to be our worst enemy.

Disruptive technology is one that displaces an established technology and shakes up the industry or a ground-breaking product that creates a completely new industry. (Rouse, 2021)

That is what our book is about. The authors think they have found technology trends that will replace the status quo or disrupt the conventional technology paradigms.

The authors have written some explosive chapters in their Book 5. Dr. Hans Mumm has written about the Advances in Automation & Human Machine Interface. Wayne Lonstein, JD has given the reader a solid look at Social Media as a Battleground in Information Warfare (IW). CEO Bart Shields has delivered a viable, less risky, more robust cyber-security alterative / replacement for the popular Blockchain Algorithm and a clean solution for Ransomware. Professor Randall K. Nichols has written about the Advanced Sensor Technologies that are used by UUVs for munitions characterization, assessment, and classification. He reports on their counter hostile use of UUVs against U.S. capital assets in the South China Seas. In a second chapter, Professor Nichols has challenged the status quo and debunked the climate change fraud with verifiable facts. In his third chapter, he explodes our minds with Nightmare Technologies that if they come to fruition may do more harm than good.

Dr. Mark Jackson has written authoritatively about Propulsion and Fuels: Disruptive Technologies for Submersible Craft Including UUVs. CEO Randall Mai has penned a chapter to Challenge the Ammunition Industry by Grassroots use of Recycled Metals. Captain John Paul Hood writes about the changing landscape of UAS regulations and drone privacy laws. 2021 will prove to be most challenging for owners and manufacturers of UAS. CEO & Dr. Suzanne Sincavage and Professor Candice Carter have teamed up to scare the pants off of us – especially during the COVID-19 pandemic – by detailing Bioterrorism Risks, Biodefense, Threat Agents and the need for advanced sensors to detect these attacks. Their chapter is truly a wake-up call.

Word Count: 93837

ISBN: 978-1-944548-34-6

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

Here you can find a Guide, addressed to teachers on the use of storytelling and of the videos produced for training purposes, within the project DIST.
An E-course addressed to trainers on how to enhance the sense of initiative and entrepreneurship in their students,
2 E-courses, one addressed to aspirant entrepreneurs and one addressed to entrepreneurs, to enhance their sense of initiative and entrepreneurship.
Some Videos featuring young and valuable European managers telling their professional history.
Other information about the DIST project here www.distproject.eu

In the trilogy of D-Lab courses, D-Lab: Dissemination focuses on disseminating innovations among underserved communities, especially in developing countries. Students acquire skills related to building partnerships and piloting, financing, implementing, and scaling-up a selected innovation for the common good. The course is structured around MIT and outside competitions. Teams develop an idea, project or (social) business plan that is “ready to roll” by term’s end. Course includes an on-line forum discussion board, student-led case studies and a final proposal or business plan for realizing your dream innovation.

This course introduces concepts of supply chain design and operations with a focus on supply chains for products destined to improve quality of life in developing countries. Topics include demand estimation, capacity planning and process analysis, inventory management, and supply chain coordination and performance. We also cover issues specific to emerging markets, such as sustainable supply chains, how to couple product design with supply chain design and operation, and how to account for the value-adding role of a supply chain. A major aspect of class is the student projects on supply chain design or improvement.

Student must synthesize the data that go into the construction and operation of a large hydroelectric dam. Students must strive to develop a design that minimizes or mitigates the impacts of the dam on the existing watershed. Students divide the analysis and frequently present to each other their findings. These findings are then synthesized into independent reports produced by each student.
Designed for a geomorphology course
Uses online and/or real-time data
Uses geomorphology to solve problems in other fields
Addresses student misconceptions

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Struggling with data at work? Wasting valuable time working in multiple spreadsheets to gain an overview of your business? Find it hard to gain sharp insights from piles of data on your desktop?

If you are looking to enhance your efficiency in the office and improve your performance by making sense of data faster and smarter, then this advanced data analysis course is for you.

If you have already sharpened your spreadsheet skills in Data Analysis: Take It to the MAX(), this course will help you dig deeper. You will learn advanced techniques for robust data analysis in a business environment. This course covers the main tasks required from data analysts today, including importing, summarizing, interpreting, analyzing and visualizing data. It aims to equip you with the tools that will enable you to be an independent data analyst. Most techniques will be taught in Excel with add-ons and free tools available online. We encourage you to use your own data in this course but if not available, the course team can provide.

These course materials are part of an online course of TU Delft. Do you want to experience an active exchange of information between academic staff and students? Then join the community of online learners and enroll in this MOOC. This course is part of the Data Analysis XSeries.

Short Description:
Data analytics is a rapidly evolving field. In today's labour market, knowing how to acquire, process, and interpret large amounts of data to make optimal decisions is crucial for many professionals, especially those in business and engineering. This open textbook, "a new online course" if you will, focuses on three key concept areas: data acquisition, data processing, and decision-making models. In this course, students will be able to develop advanced knowledge and skills to acquire related data for operations of business or projects; apply quantitative literacy skills such as statistics and machine learning; and use predictive or prescriptive modeling to make timely, actionable, and meaningful decisions.

Long Description:
Data analytics is a rapidly evolving field. In today’s labour market, knowing how to acquire, process, and interpret large amounts of data to make optimal decisions is crucial for many professionals, especially those in business and engineering. This open textbook, “a new online course” if you will, focuses on three key concept areas: data acquisition, data processing, and decision-making models. In this course, students will be able to develop advanced knowledge and skills to acquire related data for operations of business or projects; apply quantitative literacy skills such as statistics and machine learning; and use predictive or prescriptive modeling to make timely, actionable, and meaningful decisions.

Word Count: 2054

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

Short Description:
Data analytics is a rapidly evolving field. In today's labour market, knowing how to acquire, process, and interpret large amounts of data to make optimal decisions is crucial for many professionals, especially those in business and engineering. This open textbook, "a new online course" if you will, focuses on three key concept areas: data acquisition, data processing, and decision-making models. In this course, students will be able to develop advanced knowledge and skills to acquire related data for operations of business or projects; apply quantitative literacy skills such as statistics and machine learning; and use predictive or prescriptive modeling to make timely, actionable, and meaningful decisions.

Long Description:
Data analytics is a rapidly evolving field. In today’s labour market, knowing how to acquire, process, and interpret large amounts of data to make optimal decisions is crucial for many professionals, especially those in business and engineering. This open textbook, “a new online course” if you will, focuses on three key concept areas: data acquisition, data processing, and decision-making models. In this course, students will be able to develop advanced knowledge and skills to acquire related data for operations of business or projects; apply quantitative literacy skills such as statistics and machine learning; and use predictive or prescriptive modeling to make timely, actionable, and meaningful decisions.

Word Count: 2038

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

Beta Version

Word Count: 92165

ISBN: 979-8-88895-422-5

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

A rubric used by teachers to monitor student progress and assess final products that incorporate data.

Learn how instructional designers use data to inform the creation of a Learning Persona. Learning Personas help determine the needs of the training and help ...

When you combine the sheer scale and range of digital information now available with a journalist’s "nose for news" and her ability to tell a compelling story, a new world of possibility opens up. With The Data Journalism Handbook, you’ll explore the potential, limits, and applied uses of this new and fascinating field.

This valuable handbook has attracted scores of contributors since the European Journalism Centre and the Open Knowledge Foundation launched the project at MozFest 2011. Through a collection of tips and techniques from leading journalists, professors, software developers, and data analysts, you’ll learn how data can be either the source of data journalism or a tool with which the story is told—or both.

The MIT Libraries Data Management Group hosts a set of workshops during IAP and throughout the year to assist MIT faculty and researchers with data set control, maintenance, and sharing. This resource contains a selection of presentations from those workshops. Topics include an introduction to data management, details on data sharing and storage, data management using the DMPTool, file organization, version control, and an overview of the open data requirements of various funding sources.

Data that has relevance for managerial decisions is accumulating at an incredible rate due to a host of technological advances. Electronic data capture has become inexpensive and ubiquitous as a by-product of innovations such as the internet, e-commerce, electronic banking, point-of-sale devices, bar-code readers, and intelligent machines. Such data is often stored in data warehouses and data marts specifically intended for management decision support. Data mining is a rapidly growing field that is concerned with developing techniques to assist managers to make intelligent use of these repositories. A number of successful applications have been reported in areas such as credit rating, fraud detection, database marketing, customer relationship management, and stock market investments. The field of data mining has evolved from the disciplines of statistics and artificial intelligence.
This course will examine methods that have emerged from both fields and proven to be of value in recognizing patterns and making predictions from an applications perspective. We will survey applications and provide an opportunity for hands-on experimentation with algorithms for data mining using easy-to-use software and cases.

This course is designed to introduce first-year Sloan MBA students to the fundamental techniques of using data. In particular, the course focuses on various ways of modeling, or thinking structurally about decision problems in order to make informed management decisions.

This Page One Economics Data Primer describes the reasons data are revised and updated. More accurate data facilitate better decisionmaking.

Learn how FRED aggregates the latest data and ALFRED captures previous versions of the data.

This course explores visualization methodologies to conceive and represent systems and data, e.g., financial, media, economic, political, etc., with a particular focus on climate change data in this version of the course. Topics include basic methods for research, cleaning, and analysis of datasets, and creative methods of data presentation and storytelling. The course considers the emotional, aesthetic, ethical, and practical effects of different presentation methods as well as how to develop metrics for assessing impact. Coursework includes readings, visualization exercises, and a final project.