Programming and Databases
Lehrinhalte
Basics of Databases, Queries and Basics of SQL: Relational databases: Primary/foreign key; Queries: Criteria, Operators, Aggregate Functions; Introduction to SQLite; General Programming structures: Declaration - Input - Processing - Output, Branches, Loops, Data types; Basic Skills in statistical software (e.g. R, SPSS, SAS or Minitab)
Art der Vermittlung
Präsenzveranstaltung
Art der Veranstaltung
Pflichtfach
Empfohlene Fachliteratur
Murth, W., 2024, SQL Basics with SQLite, script, available on the Moodle website for this class
Lern- und Lehrmethode
Interactive work in computer labs, discussion of exercises and examples.
Prüfungsmethode
This course is based on continuous assessment (30%) and a final written exam (70%). The continuous assessment consists of active participation in class (15%) and three home assignments to be uploaded on the Moodle platform before the respective deadlines (15%).
Voraussetzungen laut Lehrplan
Meet the admission requirements for this master’s programme
Schnellinfos
Studiengang
Quantitative Asset and Risk Management (Master)
Akademischer Grad
Master
ECTS Credits
4.00
Unterrichtssprache
Englisch
Studienplan
Berufsbegleitend
Studienjahr, in dem die Lerneinheit angeboten wird
2025
Semester in dem die Lehrveranstaltung angeboten wird
1 WS
Incoming
Ja
Lernergebnisse der Lehrveranstaltung
After the successful completion of the course students demonstrate basic knowledge concerning relational databases and are able to use queries in Structured Query Language (SQL). They are able to store, manipulate and retrieve data in databases. Furthermore, they are able to join data sets. They demonstrate basic programming knowledge (definition of variables, assignment of values to variables, if-statements, for- and while-loops, logical operators, arrays). Additionally, the students are able to operate statistical software such as R which is advantageous when dealing with large data sets or complex algorithms.
Kennzahl der Lehrveranstaltung
0613-09-07-BB-EN-04