Course: Computers Architecture IV - Data Enters

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Course title Computers Architecture IV - Data Enters
Course code UAI/608
Organizational form of instruction Lecture
Level of course Master
Year of study not specified
Frequency of the course In each academic year, in the summer semester.
Semester Summer
Number of ECTS credits 3
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Němec Petr, Ing.
  • Fesl Jan, Ing. Ph.D.
Course content
unspecified

Learning activities and teaching methods
Monologic (reading, lecture, briefing)
  • Class attendance - 30 hours per semester
  • Preparation for classes - 20 hours per semester
  • Preparation for exam - 25 hours per semester
Learning outcomes
This course focuses on the most important areas of data center design. Introductory lecture describe traditional computer architecture. The content of other lectures technology systems and solutions for the data center. The focus of the blocks is the key components of the physical system and application level. Good data center forms the basis for the operation and provision of cloud services. A substantial part of the course consists of a block IT infrastructure that focuses on providing high availability, visualization and cluster solutions.
An overview of technologies used in data centers.
Prerequisites
Basic knowledge of computer architecture, computer networks and operating systems.

Assessment methods and criteria
Oral examination, Test

Recommended literature
  • Dvořák, V., Drábek, V.:. Architektura procesorů. VUTIUM, Brno, 1999, 303 s., ISBN 80-214-1458-8..
  • Hennessy, J. L., and D. A. Patterson. Computer Architecture: A Quantitative Approach, 3rd ed. San Mateo, CA: Morgan Kaufman, 2002. ISBN: 1558605967..
  • J.P. Shen, M.Lipasti:. Modern Processor Design - Fundamentals of Superscalar Processors, McGraweHill, 2005, ISBN 0-07-057064-7..


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Applied Informatics (1) Category: Informatics courses - Recommended year of study:-, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Secondary Schools Teacher Training in Informatics (1) Category: Pedagogy, teacher training and social care - Recommended year of study:-, Recommended semester: Summer