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

Semester spring semester 2024
Course frequency Every spring sem.
Lecturers Gabriele Röger (gabriele.roeger@unibas.ch, Assessor)
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 Biozentrum, Hörsaal U1.141

Dates

Date Time Room
Wednesday 28.02.2024 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 29.02.2024 14.15-16.00 Biozentrum, Hörsaal U1.141
Wednesday 06.03.2024 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 07.03.2024 14.15-16.00 Biozentrum, Hörsaal U1.141
Wednesday 13.03.2024 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 14.03.2024 14.15-16.00 Biozentrum, Hörsaal U1.141
Wednesday 20.03.2024 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 21.03.2024 14.15-16.00 Biozentrum, Hörsaal U1.141
Wednesday 27.03.2024 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 28.03.2024 14.15-16.00 Ostern
Wednesday 03.04.2024 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 04.04.2024 14.15-16.00 Biozentrum, Hörsaal U1.141
Wednesday 10.04.2024 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 11.04.2024 14.15-16.00 Biozentrum, Hörsaal U1.141
Wednesday 17.04.2024 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 18.04.2024 14.15-16.00 Biozentrum, Hörsaal U1.141
Wednesday 24.04.2024 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 25.04.2024 14.15-16.00 Biozentrum, Hörsaal U1.141
Wednesday 01.05.2024 14.15-16.00 Tag der Arbeit
Thursday 02.05.2024 14.15-16.00 Biozentrum, Hörsaal U1.141
Wednesday 08.05.2024 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 09.05.2024 14.15-16.00 Auffahrt
Wednesday 15.05.2024 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 16.05.2024 14.15-16.00 Biozentrum, Hörsaal U1.141
Wednesday 22.05.2024 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 23.05.2024 14.15-16.00 Biozentrum, Hörsaal U1.141
Wednesday 29.05.2024 14.15-16.00 Biozentrum, Hörsaal U1.131
Thursday 30.05.2024 14.15-16.00 Biozentrum, Hörsaal U1.141
Monday 10.06.2024 14.00-16.00 Biozentrum, Maurice E. Müller Saal U1.111
Modules Modul: Formal Concepts in Computer Science (Bachelor's degree subject: Computer Science)
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: Methods for Computational Sciences (Bachelor's Studies: Computational Sciences (Start of studies before 01.08.2023))
Assessment format main lecture 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

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