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Бакалавриат 2021/2022

DevOps

Направление: 01.03.02. Прикладная математика и информатика
Когда читается: 4-й курс, 2, 3 модуль
Формат изучения: с онлайн-курсом
Охват аудитории: для всех кампусов НИУ ВШЭ
Язык: английский
Кредиты: 6

Course Syllabus

Abstract

DevOps is a set of software development practices that combine software development (Dev) and information-technology operations (Ops) to shorten the systems development life cycle, while frequently delivering features, fixes, and updates in close alignment with the given business objectives. Graduates often lack practical skills and experience required for professional success in the IT industry. The DevOps course will give you an opportunity to develop and polish relevant skills needed for large-scale complex projects, including system design, system deployment, support, version control systems, virtualization, etc. This valuable hands-on experience will allow you to start working on your own industrial-level projects and effectively collaborate with your team members if you are hired by an IT company. During the course, you will have an opportunity to solve many practical problems focused on various aspects of a product life cycle.
Learning Objectives

Learning Objectives

  • To master the basic tools to develop and maintain software service lifecycle
Expected Learning Outcomes

Expected Learning Outcomes

  • To understand Git and build automation systems
  • To know how to deploy cloud services
  • To understand the concept of CI / CD
Course Contents

Course Contents

  • Introduction
  • Virtualization and Cloud
  • IaC and Configuration Management
  • Containerization
  • CI/CD
Assessment Elements

Assessment Elements

  • non-blocking HW1
  • non-blocking HW2
  • non-blocking HW3
Interim Assessment

Interim Assessment

  • Interim assessment (3 module)
    0.33 * HW1 + 0.33 * HW2 + 0.34 * HW3
Bibliography

Bibliography

Recommended Core Bibliography

  • Christopher M. Bishop. (n.d.). Australian National University Pattern Recognition and Machine Learning. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.EBA0C705

Recommended Additional Bibliography

  • M Narasimha Murty, & V Susheela Devi. (2015). Introduction To Pattern Recognition And Machine Learning. World Scientific.