EPN-V2

ACIT4430 Infrastructure Services and Operations Course description

Course name in Norwegian
Infrastructure Services and Operations
Study programme
Master's Programme in Applied Computer and Information Technology
Weight
10.0 ECTS
Year of study
2021/2022
Curriculum
SPRING 2022
Schedule
Course history

Introduction

This course provides an overview over the most common services and components found in IT infrastructures in medium- to enterprise sized organizations and businesses. The services are focused around the internal functioning of the IT department such as backup, logging and configuration management as well as inventory and directory systems. The course

is organized around weekly practical labs and lectures that complement each other. The student will get hands-on experience with the technologies as well as a holistic perspective on IT infrastructures.

Required preliminary courses

Two internal examiners. External examiner is used periodically.

Learning outcomes

The student should have the following outcomes upon completing the course:

Knowledge

Upon successful completion of the course, the student:

  • have advanced knowledge of how system administration and operations facilitate organizations
  • have advanced knowledge of the terms and terminology used when system administration interfaces with an organization
  • have advanced knowledge of processes applied to system administration in order to facilitate requests from other parts of an organization
  • have deep knowledge of how an IT infrastructure is organized and what components it traditionally comprises of
  • have a good understanding of the support architecture of an IT infrastructure, such as backup, issue tracking and configuration management

Skills

Upon successful completion of the course, the student:

  • can analyze an IT infrastructure with regard to its components and their purpose
  • can apply feature analysis in order to rank alternative components relative to their purpose
  • can organize the flow of tasks in an operations team
  • can propose ways to measure the performance of an operations team
  • can leverage IaaS (cloud computing and virtual infrastructures) to provide systems, network and storage components to users
  • can utilize infrastructure support services in order to leverage system deployment to users

General competence

Upon successful completion of the course, the student should:

  • can discuss the role of system administration in an organization and society at large
  • can analyze how operations can interface with the rest of an organization in order to improve overall proficiency

Content

Topics covered in this course:

  • Operations and relevance to organizational change
  • Namespaces
  • Cloud deployment
  • Configuration management
  • Centralized logging
  • Monitoring
  • Backup
  • Storage clusters

Teaching and learning methods

The assessment will be based on a portfolio of the following:

  • One individual project delivery consisting of a report (2000 - 4000 words)
  • An individual oral examination

The portfolio will be assessed as a whole and cannot be appealed.

;

New/postponed exam

In case of failed exam or legal absence, the student may apply for a new or postponed exam. New or postponed exams are offered within a reasonable time span following the regular exam. The student is responsible for applying for a new/postponed exam within the time limits set by OsloMet. The Regulations for new or postponed examinations are available in Regulations relating to studies and examinations at OsloMet.

In the event of a postponed examination in this course the exam may be held as an oral exam. Oral exams cannot be appealed.

Course requirements

A course in analysis at bachelor level is an advantage, preferably with some knowledge of real numbers, cardinality, metric spaces and uniform convergence.

Assessment

Grade scale A-F.

Permitted exam materials and equipment

Two internal examiners. External examiner is used periodically.

Grading scale

Sergiy Denisov

Examiners

  • A brief re-acquaintance with vectors, matrices and complex numbers
  • Computational methods of quantum physics
  • Introduction to quantum phenomena
  • Introduction to classical information theory
  • Qubits and quantum gates
  • Entanglement and interference as key;components of quantum computing
  • Fundamental quantum algorithms
  • Quantum annealing as a way of addressing optimization problems
  • Quantum cryptography
  • The challenge of de-coherence and openness in quantum systems

Course contact person

The course overlaps 3 ECTS with ACIT4320.