MSc:LargeInstallationAdministration old

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Large Installation Administration

  • Course name: Large Installation Administration
  • Course number: SNE-06
  • Area of instruction: Computer Science and Engineering

Administrative details

  • Faculty: Computer Science and Engineering
  • Year of instruction: 1st year of MSc
  • Semester of instruction: 2nd semester (3rd block)
  • No. of Credits: 6 ECTS
  • Total workload on average: 216 hours overall
  • Frontal lecture hours: 4 hours per week.
  • Frontal tutorial hours: 0 hours per week.
  • Lab hours: 8 hours per week.
  • Individual lab hours: 0 hours per week.
  • Frequency: twice per week throughout the block.
  • Grading mode: letters: A, B, C, D.

Course outline

In large organizations complex architectures are built where products and protocols of multiple vendors have to inter-operate. The course focuses on understanding the challenges and building a scalable IT infrastructure that is flexible and efficient to manage. Topics covered are: Virtualization and Cloud Computing, Workstation and Server deployment, Datacenters and Infrastructure management methodologies.

Expected learning outcomes

  • Install and configure large systems
  • Automate the installation and the deployment
  • Use virtualized systems
  • Manage scalable infrasctuctures

Required background knowledge

In order to keep up with the course, the students are supposed to have basic knowledge of TCP/IP, networking, IP addressing, routing, subnetting, and so forth. The courses are covered in the introductory courses at bachelor levels. Therefore, it is expected that the student already took data communications, operating systems, computer networks, and computer applications in the bachelor program.

Prerequisite courses

Classical Internet Applications, Advanced Networking, Distributed Systems

Detailed topics covered in the course

  • LIA Foundation
  • Virtualization
  • Container based virtualisation
  • Monitoring Systems
  • CI/CD
  • CI/CD tools
  • Itil v3
  • SAN & NAS
  • Hadoop
  • NoSQL

Textbook

Reference material

Required computer resources

Desktop stations with preferably ubuntu installed.

Evaluation

  • Labs (50%)
  • Project (50%)