Enterprise Architecture

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  • Introduction
    • In this lecture, we will discuss some objectives aimed at showing what you can expect to learn from this course. At the end of Introduction part listeners will get the baseline understanding of enterprise architecture notion, goals of the course, practical benefits of its application. Lesteners will also get familiarized with course structure and rules of assessment.
  • Enterprise Architecture basics and key definitions
    • This lecture is dedicated to Enterprise Architecture notion, we will discuss history of its definition and how it evolved. You will be introduced to all baseline concepts of this discipline, which we will be using during the entire course. We will also cover the key standards and questions of their adaptation for different tasks (Zachman Framework, FEAF, TOGAF). This lecture wil demonstrate the key differences between different modelling techniques, which exist on the market.
  • TOGAF standard
    • The main goal of this lecture is to introduce listeners to one of the most wide-spread standard of EA modelling and development – TOGAF standard by Open group.
  • Archi modelling software tool
    • This lecture is dedicated to Archi modelling software, which is one of the most wide-spread software products to create and analyze enterprise architecture models.
  • Architecture Development Method, complex approach to enterprise development
    • The central notion of this lecture is Architecture Development Method (ADM), which is included in TOGAF standard. ADM is a powerful framework for organization and management a company development, though it needs systematic adaptation, which is covered in this lecture.
  • Industrie 4.0 technologies and enterprise architecture
    • Most breakthrough innovations do not succeed in isolation. Any type of technology, which can potentially enhance business, has to pass through the implementation cycle. This lecture will give a brief overview of the most promising technologies for corporate development, such as Internet of Things, Blockchain, Big Data, Machine learning, predictive and prescriptive analytics, highlighting mainly implementation point of view.
  • Complex EA case-study
    • The case-study materials include company description, models of EA (Business layer, Application layer, Technology layer) and their description.