Menu

Software development 2 Lab

Niveau

Master's course

Learning outcomes of the courses/module

The following skills are developed in the course:

- Students can implement advanced application concepts independently.
- Students can develop advanced application concepts and bring them into an implementable form.

Prerequisites for the course

1st semester: Students will have previous knowledge in the field of information technologies to the extent of 6 ECTS and therefore know the concept of the relational database and can read simple SQL queries. / 1st semester: Students will have previous knowledge in the field of information technologies to the extent of 6 ECTS and therefore know simple programming concepts (e.g. variables, branches, loops) as well as typical programming approaches (e.g. functional programming). / 2nd semester: SDDE.A1 module examination (Software Development 1)

Course content

In the lab, the contents of the ILV “Software Development 2” are advanced with the aid of practical exercises. The knowledge gained will be discussed in the group and thus allow a deep insight into the material and consolidation of the knowledge, which was theoretically dealt with in the ILV.

Recommended specialist literature

PRIMARY LITERATURE:
- Lutz, M (2013): Learning Python (Ed. 1), O'Reilly Media, Farnham (ISBN: 978-1449355739)

SECONDARY LITERATURE:
- Sommerville, I. (2015): Software Engineering, Global Edition (Ed. 10), Pearson Education, London (ISBN: 978-1292096131)
- Williams, L.; Zimmermann, T. (2016): Perspectives on Data Science for Software Engineering (Ed. 1), Morgan Kauf-mann, Burlington (ISBN: 978-0128042069)
- Crawley, M. J. (2007): The R Book (Ed. 1), John Wiley and Sons Ltd, Chichester (ISBN: 978-0-470-51024-7)

Assessment methods and criteria

The following examination methods are used in the course:

- Project work
- term paper

Language

German

Number of ECTS credits awarded

2.5

Share of e-learning in %

0

Semester hours per week

1.0

Planned teaching and learning method

The following methods are used:

- Processing of exercises
- Interactive workshop
Data Engineering /ILV / Course no.: SDDE.1 / 1st semester / ECTS: 4

Semester/trimester in which the course/module is offered

2

Name of lecturer

Prof. (FH) Lukas Demetz, PhD, Prof. (FH) Dr. Lukas Huber

Academic year

1

Key figure of the course/module

SDDE.6

Type of course/module

practice

Type of course

Compulsory

Internship(s)

none