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Technical Principles of Computer Science
30.7108

Description
Learning objectives: 
Students acquire the skills to
  • understand the different forms of representation of numbers and alphabets in computers.
  • know the simple basics of electronics for passive and active components.
  • have the ability to describe circuits in formal and programming language.
  • know methods for the synthesis and analysis of circuits and their minimization.
  • know technical realization forms of circuits.
  • know methods and concepts for coding digital data.
  • understand the technical constraints and limitations of current concepts for the realization of components.
Course content:
  • Electronic basics: current and voltage, active and passive components, semiconductor technologies
  • Moore's Law, components of a computer, computer generations
  • Circuit algebra: Boolean postulates, complete systems, disjunctive and conjunctive normal form
  • Minimization: algebraic truncation rules, graphical (Karnaugh-Veitch diagram), and algorithmic methods (Quine and McCluskey)
  • Switching networks: adders, (de-)multiplexers
  • Switching networks: various flip-flop types, asynchronous and synchronous switching networks, counters, shift registers
  • Finite automata: Moore and Mealy automata, state diagrams, state transition tables
  • Calculator arithmetic: number representations, fixed-point representation, floating-point representation, addition, subtraction, multiplication
  • Semiconductor memory technology: ROM, static RAM, dynamic RAM, flash, new technologies for working memory
  • Mass storage technologies
  • Programmable logic devices (e.g. PAL, CPLD, FPGA) and hardware description languages
  • Information and coding: measurement of information, data compression, code protection

ECTS credits
5

Teaching Language
Deutsch

Exam Language
Deutsch

Support Materials Language
English/Deutsch

Basic Learning Outcomes

Managing Entity (faculty)
Computer Science Department (HDA)