The design of information systems is traditionally taught in a layered fashion. Candidates learn about networks, databases, systems, and applications in separate courses. This layered approach allows for the partitioning of these considerations into independent areas of specific expertise. However, practicing professionals often face situations in which all of these layers need to be combined across technologies and organizations. It is understanding the integration of these layers, technologies, and applications that are essential in deriving an effective architecture.
- With only 35% of IT and non-IT executives believing that their organizations currently have the required digital leadership skills, the opportunities for digital management education are growing exponentially.
- The success rate of today’s digital initiatives resembles the traditionally low success rate of IT projects. We continue to make the same mistakes.
An effective information systems infrastructure for a corporation includes the integration of networks, data, emerging technologies(e.g., Big Data, analytics, AI, cognitive computing, blockchain, Robotics Process Automation, security), systems, and applications. Designing or modifying an infrastructure calls for an understanding not only of technology, but also of business needs and how to integrate the different technologies across different technologies and across the different parts of the business to ensure sustainability. Understanding the integration and management of the entire TOGAF and ITIL frameworks (across ITOM, ITSM, ITBM, ITAM, CSM, and Security Operations) is essential.
An effective information systems infrastructure for a corporation includes the integration of networks, data, emerging technologies (e.g., Big Data, analytics, AI, cognitive computing, blockchain, Robotics Process Automation, security), systems, and applications. Designing or modifying an infrastructure calls for an understanding not only of technology, but also of business needs and how to integrate the different technologies across different technologies and across the different parts of the business to ensure sustainability. Understanding the integration and management of the entire TOGAF and ITIL frameworks (across ITOM, ITSM, ITBM, ITAM, CSM, and Security Operations) is essential.
TOGAF (The Open Group Architectural Framework)
Sustainability Considerations:
Largest Concern Top Priority
Select at least 4 courses from the following:
(All courses are available live/synchronously face-to-face & online)
Prior to taking any of these courses, candidates should have taken Fundamentals of Information Technology Management or its equivalent.
6. Network Management
Responding to the accelerating worldwide demand for reliable and robust communications, this course offers a rich panorama of network principles, architectures, trends, and standards. It focuses on the significant opportunities and obstacles facing today's rapidly expanding enterprises, not only in the US, but also around the world. Candidates are introduced to the global regulatory environment and critical managerial decisions. They become familiar with key emerging technology concepts, CDMA systems, radio resource management, services and applications, and next-generation standards. Attendees are prepared to become skilled communication managers who appreciate performance requirements coupled with the delivery of top quality service, with a deep understanding of current and emerging communications technologies (e.g., 5G and beyond). Topics include Network & Mobile Computing, Global Network Industry, Next Generation Networks, Performance Management, and Continuity Planning.
7. Integrating IT Technologies, Systems & Services
This course focuses on ways of designing and integrating an enterprise architecture. The course explains the different forms of corporate information systems and their interaction. Mainframe systems and large scale clusters will be the focus of this infrastructure. While in the past, mainframe systems were often self-contained, in current systems, it is more likely that such systems are part of an overall architecture including many smaller hardware devices and operating systems. Competing with classic mainframes are large Linux-based clusters; we will discuss their emergence. The student will learn about the building blocks of current enterprise architectures, and then will learn how to connect them to solve the problems of large companies.
9.
Security Systems (Select from
Cyber Security
)
10. Enterprise Systems Management
This course offers a broad survey of Enterprise Systems technology and IS management considerations with emphasis on the mainframe. The course takes a strategic management perspective in exploring the mainframe’s architectural capabilities and impacts. Specific topics of study include Introduction to the Mainframe Environment, Total Cost of Ownership, Cost of Downtime, Scalability, Security, Access Management, and Mainframe Careers. Enterprise Systems case studies are explored throughout the course.
12. Green IT
This course presents the across the broad range of issues associated with use of IT to achieve sustainable IT operations and business practices. Energy considerations has become even more important with the advent of AI and growth of IT infrastructure initiatives with their thirst for power/energy. Large tech organizations that are leading the AI race require building and powering ever larger data centers. Candidates should be able to demonstrate their knowledge and understanding of the concepts, issues, techniques and challenges in delivering Green IT including the:
- wider background to Green IT
- establishment a Green IT Policy
- establishment of a Green IT Action Plan
- concepts and techniques for internal assessment
-
risks and benefits of Green IT
- techniques and technologies available to enable Green IT
- growth in computing and demand for energy
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role of Green IT across the organization
- roles and responsibilities of key stakeholders
13. Quantum Computing
Digital computers have been making it easier for us to process information for decades. Quantum computers are poised to take computing to a whole new level. Quantum computers represent a completely new approach to computing. While they won’t replace today’s computers, by using the principles of quantum physics, they will be able to solve very complex statistical problems that today’s computers can’t. Quantum computing has so much potential and momentum that it is recognized as one of the next big trends in technology, with the hardware and software required to handle the most complex problems not being generally available until 2035 or later. It is best suited for complex problems like simulating quantum systems in nature, optimization, and cryptographic encoding and decoding. Most companies' initial foray into quantum computing will be through cloud access. Leading hyperscale cloud providers and specialized startups offer this service today. Some of the most notable ones include IBM, Google, Amazon, and Microsoft.
Candidates will understand the current and emerging application and impact of quantum technologies. Topics include the current/emerging industry implications and state of development and production of quantum hardware, software, and other products and services that make use of quantum mechanics. Candidates will be exposed to a variety of industry specific and general business software solutions for quantum computing, with a focus on development tools and programming languages, as well as the advancement of quantum consulting services. The course begins with an overview of traditional and quantum computing and quantum physics, followed by a study of the algorithm construction process. A more advanced and technical quantum computing course will dig deeper and require greater knowledge of math, coding, and data science.
