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

Semester spring semester 2026
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 18.02.2026 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 19.02.2026 14.15-16.00 Alte Universität, Hörsaal -101
Wednesday 25.02.2026 14.15-16.00 Fasnachtsferien
Thursday 26.02.2026 14.15-16.00 Fasnachtsferien
Wednesday 04.03.2026 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 05.03.2026 14.15-16.00 Alte Universität, Hörsaal -101
Wednesday 11.03.2026 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 12.03.2026 14.15-16.00 Alte Universität, Hörsaal -101
Wednesday 18.03.2026 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 19.03.2026 14.15-16.00 Alte Universität, Hörsaal -101
Wednesday 25.03.2026 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 26.03.2026 14.15-16.00 Alte Universität, Hörsaal -101
Wednesday 01.04.2026 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 02.04.2026 14.15-16.00 Ostern
Wednesday 08.04.2026 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 09.04.2026 14.15-16.00 Alte Universität, Hörsaal -101
Wednesday 15.04.2026 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 16.04.2026 14.15-16.00 Alte Universität, Hörsaal -101
Wednesday 22.04.2026 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 23.04.2026 14.15-16.00 Alte Universität, Hörsaal -101
Wednesday 29.04.2026 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 30.04.2026 14.15-16.00 Alte Universität, Hörsaal -101
Wednesday 06.05.2026 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 07.05.2026 14.15-16.00 Alte Universität, Hörsaal -101
Wednesday 13.05.2026 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 14.05.2026 14.15-16.00 Auffahrt
Wednesday 20.05.2026 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 21.05.2026 14.15-16.00 Alte Universität, Hörsaal -101
Wednesday 27.05.2026 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 28.05.2026 14.15-16.00 Alte Universität, Hörsaal -101
Wednesday 10.06.2026 14.00-16.00 Biozentrum, Hörsaal U1.101
Wednesday 10.06.2026 14.00-16.00 Biozentrum, Hörsaal U1.131
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
Exam: tba
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

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