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Algorithms and Data Structures in Software Development

level of course unit

Bachlor

Learning outcomes of course unit

Students are able to,
- Use algorithms appropriately depending on the application,
- Apply algorithms independently for problems,
- Compare algorithms in terms of their complexity,
- Select suitable data structures for given problems
- Create data structures independently,
- Apply algorithms to different data structures and
- Use libraries for standard algorithms and data structures

prerequisites and co-requisites

Successfully completed courses of the previous semester.

course contents

- Students can differentiate between algorithms and data structures with regard to their complexities
- Students are familiar with sorting algorithms and can choose suitable ones for their problems
- Students are familiar with search algorithms and can choose suitable ones for their problems
- Students are able to create their own efficient algorithms and data structures
- Students know standard libraries for algorithms and data structures and are able to use them

recommended or required reading

- Sedgewick, R.; Wayne, K.: Algorithmen: Algorithmen und Datenstrukturen - Pearson Studium - IT, 2014.
- Cormen, T.; Leiserson, C.; Rivest, R.; Stein, C.; Molitor, P.: Algorithmen - Eine Einführung - De Gruyter, 2013.
- Saake, G.; Sattler, K.-U.: Algorithmen und Datenstrukturen: Eine Einführung mit Java - dpunkt.verlag GmbH, 2013.

assessment methods and criteria

Homework exercises and/or seminar work (in groups) and/or final presentation and/or final examination

language of instruction

German

number of ECTS credits allocated

5

eLearning quota in percent

20

course-hours-per-week (chw)

3

planned learning activities and teaching methods

Lecture, group work, presentation and discussion of (practical) tasks

semester/trimester when the course unit is delivered

2

name of lecturer(s)

Lukas Demetz, PhD

year of study

1

recommended optional program components

none

course unit code

ENG3

type of course unit

integrated lecture

mode of delivery

Compulsory

work placement(s)

not applicable