Basics for Computational Engineering (BCE)15 ECTS
(englische Bezeichnung: Basics for Computational Engineering)

Lectures:

• • Lecture Basics for Computational Engineering
    (Vorlesung, 4 SWS, Dietmar Fey, Videos and exercises in StudOn course)
  • Exercises Basics for Computational Engineering
    (Übung, 4 SWS, Dietmar Fey, Fully online: https://www.studon.fau.de/crs3709218.html)

Inhalt:

The lecture is divided into two parts:
i) Basics of computer architecture, i.e. how a computer works, its design and structure.

• Principle of digital electronics and Boolean logic

• Basic arithmetic circuits

• Microprogramming, CISC and RISC architectures

• Cache and memory architecture

• Multi-core architectures and introductin in GPUs
  

ii) Introduction to parallel computer architecture and its applications.

• Programming of memory-coupled multi-core architectures with OpenMP

• Programming of message-coupled computer systems with MPI

• Limits of parallel computing (Amdahl's Law)

• Introduction to Finite-Difference-Time-Domain methods

Lernziele und Kompetenzen:

Expertise

• Knowledge: Students can memorize and reproduce knowledge. They know concrete details and words, definitions, facts, data, rules, theories, features, criteria, procedures, etc.

• Understanding: Students can tell examples, interpret questions or reproduce a problem in their own words.

• Applying: Students can solve a new problem by transferring knowledge.

• Analyzing: Students can divide a problem into single parts to understand a problem. They can find contradictions, connections, they can conclude and differ between facts and interpretations.
  

• Learn and method competency:

Ability to apply certain learn and work methods to develop other competencies, especially required for expertise.

• Self competency: Ability to further develop the own life by oneself and responsibly model the social, cultural and employment context.

• Social competency: Ability to work goal oriented in a team. To recognize interests in social situations, and to analyze them rationally and responsibly. To discuss and to model the working and living world.

Literatur:

On StudOn

Verwendbarkeit des Moduls / Einpassung in den Musterstudienplan:
Das Modul ist im Kontext der folgenden Studienfächer/Vertiefungsrichtungen verwendbar:

1. Transition Studies Engineering (keine Abschlussprüfung angestrebt bzw. möglich)
   (Po-Vers. 2021w | Fachrichtung Computational Engineering | Allgemeine fachspezifische Grundlagen (digital))

Studien-/Prüfungsleistungen:

Allgemeine fachspezifische Grundlagen (digital) - Basics for Computational Engineering (Prüfungsnummer: 86551)

(englischer Titel: Basics for Computational Engineering)

Studienleistung, Klausur, Dauer (in Minuten): 90, unbenotet, 15 ECTS

Prüfungssprache: Englisch

Erstablegung: WS 2021/2022, 1. Wdh.: WS 2021/2022

1. Prüfer:

Dietmar Fey