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2018
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MOOC
Learn about the integrative power of knowledge management, Big Data and Cloud Computing, and how they impact the new business era.
- Subjects:
- Business Information Technology, Management, Computing, and Industrial and Systems Engineering
- Keywords:
- Big data Knowledge management
- Resource Type:
- MOOC
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MOOC
An introduction to the fourth industrial revolution, it's major systems and technologies and how new products and services will impact business and society.
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Courseware
While big data infiltrates all walks of life, most firms have not changed sufficiently to meet the challenges that come with it. In this course, you will learn how to develop a big data strategy, transform your business model and your organization. This course will enable professionals to take their organization and their own career to the next level, regardless of their background and position. Professionals will learn how to be in charge of big data instead of being subject to it. In particular, they will become familiar with tools to: - assess their current situation regarding potential big data-induced changes of a disruptive nature, - identify their options for successfully integrating big data in their strategy, business model and organization, or if not possible, how to exit quickly with as little loss as possible, and - strengthen their own position and that of their organization in our digitalized knowledge economy The course will build on the concepts of product life cycles, the business model canvas, organizational theory and digitalized management jobs (such as Chief Digital Officer or Chief Informatics Officer) to help you find the best way to deal with and benefit from big data induced changes. During the course, your most pressing questions will be answered in our feedback videos with the lecturer. In the assignments of the course, you will choose a sector and a stakeholder. For this, you will develop your own strategy and business model. This will help you identify the appropriate organizational structure and potential contributions and positions for yourself.
- Subjects:
- Management and Computing
- Keywords:
- Business -- Data processing Big data
- Resource Type:
- Courseware
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e-book
Nowadays, mobile communication services are penetrating into our society at an explosive growth rate. Applications in mobile devices offer limitations, restriction, and guidelines on how mobile software can be used in order to simplify the mobile usage. As smart phones and tablets are becoming the daily computing device of choice for young ages, it is expected that mobile applications and services should be as flexible, high quality, and secure as the desktop systems. In this book, latest trends in mobile computing will be discussed. In the first section, cloud computing topics will be discussed widely into four chapters to give information to the reader about topics such as challenges, services, edge computing, and distributed clouds needed to integrate this promising issue into the next generation.
- Subjects:
- Mobile Computing
- Keywords:
- Mobile computing
- Resource Type:
- e-book
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Others
Geospatial artificial intelligence sometimes referred to as geoAI is recently receiving so much attention. From large-scale projects to smaller projects. GeoAI can be referred to as using artificial intelligence with Geographical information system to analyse and produce solution-based predictions.
- Subjects:
- Computing and Land Surveying and Geo-Informatics
- Keywords:
- Geospatial data Geographic information systems Artificial intelligence
- Resource Type:
- Others
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e-book
This book is a peer-reviewed open educational resource intended for electrical engineering students. The book employs the “transmission lines first” approach in which transmission lines are introduced using a lumped-element equivalent circuit model for a differential length of transmission line, leading to one-dimensional wave equations for voltage and current.
- Subjects:
- Electrical Engineering
- Keywords:
- Electromagnetism
- Resource Type:
- e-book
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Courseware
This course explores the most important aspects of this new market, including state-of-the-art technology of electric vehicles and charging infrastructure; profitable business models for electric mobility; and effective policies for governmental bodies, which will accelerate the uptake of electric mobility.
- Subjects:
- Electrical Engineering
- Keywords:
- Electric vehicles
- Resource Type:
- Courseware
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Courseware
This course focuses on the technology behind electric cars. You will explore the working principle of electric vehicles, delve into the key roles played by motors and power electronics, learn about battery technology, EV charging, smart charging and about future trends in the development of electric cars.
- Subjects:
- Electrical Engineering
- Keywords:
- Electric vehicles Electric vehicles -- Batteries
- Resource Type:
- Courseware
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Courseware
This course explains how electric mobility can work for various businesses, including fleet managers, automobile manufacturers and charging infrastructure providers. The experts of TU Delft, together with other knowledge institutes and companies in the Netherlands, will provide insights into and examples of how innovations have disrupted conventional businesses and created new businesses altogether. This will be explained through various concepts and models, including total cost of ownership models, lean mass production, value chain thinking and business integration.
- Subjects:
- Electrical Engineering
- Keywords:
- Electric vehicles Electric vehicle industry
- Resource Type:
- Courseware
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Courseware
This course covers signals, systems and inference in communication, control and signal processing. Topics include input-output and state-space models of linear systems driven by deterministic and random signals; time- and transform-domain representations in discrete and continuous time; and group delay. State feedback and observers. Probabilistic models; stochastic processes, correlation functions, power spectra, spectral factorization. Least-mean square error estimation; Wiener filtering. Hypothesis testing; detection; matched filters.
- Subjects:
- Electronic and Information Engineering|Electrical Engineering
- Keywords:
- Signal processing Signal theory (Telecommunication) System analysis
- Resource Type:
- Courseware