Syllabus

Titel
0959 Computing
LV-Leiter/innen
ao.Univ.Prof. Dr. Josef Leydold
Kontakt
  • LV-Typ
    PI
  • Semesterstunden
    2
  • Unterrichtssprache
    Englisch
Anmeldung
19.09.2019 bis 22.09.2019
Anmeldung über LPIS
Hinweise zur LV
Planpunkt(e) Bachelor
Termine
Wochentag Datum Uhrzeit Raum
Montag 07.10.2019 14:00 - 17:00 D5.1.001
Montag 14.10.2019 14:00 - 17:00 D5.1.001
Montag 21.10.2019 14:00 - 17:00 D5.1.001
Montag 28.10.2019 14:00 - 17:00 TC.3.01
Montag 04.11.2019 14:30 - 17:30 D3.0.233
Montag 11.11.2019 14:00 - 17:00 TC.3.01
Montag 25.11.2019 14:00 - 17:00 D5.1.001

Inhalte der LV

  • Block 1: Basic computing and programming: R as an environment for computing and graphics, basic programming structures, input and output
  • Block 2: Typesetting documents with LaTeX and BibTeX
  • Block 3: Functions, more sophisticated data structures and better graphics
  • Block 4: Numerical analysis: Numerical accuracy and program efficiency, root finding and optimization


Lernergebnisse (Learning Outcomes)

After completing this course the student will have the ability to:

  • Recall the basic constituents of computer programming (data structures and algorithms)
  • Design, implement, test and debug computer programs for solving mathematical/computational problems
  • Perform matrix computations, solve systems of linear and non-linear equations, and optimize functions of one or several variables.

Apart from that, the course will contribute to the students' ability to:

  • demonstrate effective team skills resulting in an appropriate contribution to the production of a group output
  • work and communicate effectively in a team situation and to function as a valuable and cooperative team member
  • participate in group discussions/team work

Moreover, the student will have the ability to:

  • structure given mathematical/computational tasks and develop algorithms for solving them
  • adequately communicate algorithms and computer programs implementing these
  • "turn ideas into software"

In addition, the student will be able to

  • Use R for programming and numerical computations
  • Use LaTeX for creating reports and presentations
  • Use BibTeX for managing bibliographic information


Regelung zur Anwesenheit

For this lecture participation is obligatory. Students are allowed to miss a maximum of 20% (no matter if excused or not excused).

Lehr-/Lerndesign

This course is taught as a lecture combined with homework assignments and a course project. In combination with the lecture, homework assignments will help students to consolidate and expand their knowledge and understanding by developing solutions to theoretical and applied problems, and have to be submitted every week via email to the lecturer. Solutions will be discussed in class based on individual students' presentations at the beginning of each unit. For the course project, teams with up to three members will use LaTeX to create a report or presentation of an R-based solution to a given mathematical/computational task.


Leistung(en) für eine Beurteilung

  • 40% home assignments and group discussions
  • 30% course project
  • 30% final exam

The assessment of the homework assignments and course project will be based on the correctness of results, the clarity and persuasiveness of each bit of work and the recognizable effort made. This implies an ability to work in teams. For the final exam, the assessment will be based on the ability to describe and apply the key concepts discussed throughout the course and to choose the appropriate analytical techniques to obtain the relevant data. To avoid the potential free-rider problem related to group work, the final exam will strongly be related to the problems already discussed in homework assignments and course projects.

 

 

Literatur

1 Autor/in: Owen Jones, Robert Maillardet, and Andrew Robinson
Titel: Introduction to Scientific Programming and Simulation Using R

Verlag: Chapman & Hall/CRC
Auflage: ISBN 978-1-4200-6872-6
Anmerkungen: http://www.ms.unimelb.edu.au/spuRs/
Jahr: 2009
Prüfungsstoff: Nein
Diplomprüfungsstoff: Nein
Empfehlung: Referenzliteratur
Art: Buch
2 Autor/in: Tobias Oetiker, Hubert Partl, Irene Hyna and Elisabeth Schlegl
Titel: The (Not So) Short Introduction to LaTex2e

Anmerkungen: http://www.ctan.org/tex-archive/info/lshort/english/
Prüfungsstoff: Nein
Diplomprüfungsstoff: Nein
Empfehlung: Stark empfohlen (aber nicht absolute Kaufnotwendigkeit)
Art: Skriptum

Erreichbarkeit des/der Vortragenden

josef.leydold@wu.ac.at
Zuletzt bearbeitet: 21.03.2019



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