Add to watchlist
Back to selection

 

10906-01 - Main lecture: Algorithms and Data Structures (6 CP)

Semester spring semester 2025
Course frequency Every spring sem.
Lecturers Gabriele Röger (gabriele.roeger@unibas.ch, Assessor)
Patrick Schnider (patrick.schnider@unibas.ch)
Content The course covers the fundamental principles of algorithm design.

Topics include:
- Runtime analysis and Big-Oh-Notation
- Divide-and-conquer design paradigm
- foundational abstract data types (array, stack, queue) and their implementation with data structures
- tree structures (heaps, search trees, red-black trees)
- hash tables
- sorting and graph algorithms

The language-independence of the concepts is demonstrated by the parallel usage of two programming languages, Java and Python.
Learning objectives The participants are familiar with the fundamental algorithms and data structures in computer science, and can adequately assess and apply them in the context of a specific application.
Bibliography Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest and Clifford Stein: Introduction to Algorithms, Fourth Edition, The MIT Press, 2022, ISBN 9780262046305
Weblink course website

 

Admission requirements Successful attendance of the course "Grundlagen der Programmierung" (VV 10890-01) or comparable programming skills.
Course application https://services.unibas.ch
Language of instruction English
Use of digital media Online, mandatory
Course auditors welcome

 

Interval Weekday Time Room
wöchentlich Wednesday 14.15-16.00 Biozentrum, Hörsaal U1.131
wöchentlich Thursday 14.15-16.00 Alte Universität, Hörsaal -101

Dates

Date Time Room
Wednesday 19.02.2025 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 20.02.2025 14.15-16.00 Alte Universität, Hörsaal -101
Wednesday 26.02.2025 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 27.02.2025 14.15-16.00 Alte Universität, Hörsaal -101
Wednesday 05.03.2025 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 06.03.2025 14.15-16.00 Alte Universität, Hörsaal -101
Wednesday 12.03.2025 14.15-16.00 Fasnachstferien
Thursday 13.03.2025 14.15-16.00 Fasnachstferien
Wednesday 19.03.2025 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 20.03.2025 14.15-16.00 Alte Universität, Hörsaal -101
Wednesday 26.03.2025 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 27.03.2025 14.15-16.00 Alte Universität, Hörsaal -101
Wednesday 02.04.2025 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 03.04.2025 14.15-16.00 Alte Universität, Hörsaal -101
Wednesday 09.04.2025 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 10.04.2025 14.15-16.00 Alte Universität, Hörsaal -101
Wednesday 16.04.2025 14.15-16.00 Kollegienhaus, Hörsaal 001
Thursday 17.04.2025 14.15-16.00 Ostern
Wednesday 23.04.2025 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 24.04.2025 14.15-16.00 Alte Universität, Hörsaal -101
Wednesday 30.04.2025 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 01.05.2025 14.15-16.00 Tag der Arbeit
Wednesday 07.05.2025 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 08.05.2025 14.15-16.00 Alte Universität, Hörsaal -101
Wednesday 14.05.2025 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 15.05.2025 14.15-16.00 Alte Universität, Hörsaal -101
Wednesday 21.05.2025 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 22.05.2025 14.15-16.00 Alte Universität, Hörsaal -101
Wednesday 28.05.2025 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 29.05.2025 14.15-16.00 Auffahrt
Wednesday 11.06.2025 14.00-16.00 Biozentrum, Maurice E. Müller Saal U1.111
Modules Modul: Methoden für Computational Sciences (Bachelor's Studies: Computational Sciences)
Modul: Methoden für Computational Sciences (Bachelor's Studies: Computational Sciences)
Modul: Methoden für Computational Sciences (Bachelor's Studies: Computational Sciences)
Modul: Methoden für Computational Sciences (Bachelor's Studies: Computational Sciences)
Modul: Methoden für Computational Sciences (Bachelor's Studies: Computational Sciences)
Module: Formal Concepts in Computer Science (Bachelor's Studies: Computer Science)
Module: Formal Concepts in Computer Science (Bachelor's degree subject: Computer Science)
Module: Methods for Computational Sciences (Bachelor's Studies: Computational Sciences (Start of studies before 01.08.2023))
Assessment format exam
Assessment details Written exam.
Further information regarding exams of main lectures (Hauptvorlesungen): https://philnat.unibas.ch/de/examen
Assessment registration/deregistration Reg.: in 'course reg.'; dereg.: Dean of Std. Off. in writing
Repeat examination one repetition, best attempt counts
Scale 1-6 0,5
Repeated registration no repetition
Responsible faculty Faculty of Science, studiendekanat-philnat@unibas.ch
Offered by Fachbereich Informatik

Back to selection