263-4511-00L  Projects in Topological Data Analysis

SemesterAutumn Semester 2024
LecturersP. Schnider
Periodicityyearly recurring course
Language of instructionEnglish



Courses

NumberTitleHoursLecturers
263-4511-00 GProjects in Topological Data Analysis3 hrs
Tue16:15-18:00CAB G 57 »
P. Schnider

Catalogue data

AbstractThis seminar complements the course „Introduction to Topological Data Analysis“. Students of the seminar will collaborate with students from international universities on concrete projects in topological data analysis, both theoretical and applied.
Learning objectiveEach student is expected to collaborate in an international working group with students from the partner universities. Each group works on one of the projects suggested by the lecturers, and is assigned a mentor. At the end of the semester, each working group presents their findings in a written report and an oral presentation.
ContentThis seminar complements the course Introduction to Topological Data Analysis. Students get to apply what they learned in the introductory course to concrete projects in the area of topological data analysis. These projects can be of theoretical nature, e.g., the design and analysis of a new algorithm, or applied, such as using methods from topological data analysis on concrete data sets.
Prerequisites / NoticeSuccessful participation in the course "Introduction to Topological Data Analysis“ or equivalent background in topological data analysis is required.
CompetenciesCompetencies
Subject-specific CompetenciesConcepts and Theoriesfostered
Techniques and Technologiesfostered
Method-specific CompetenciesAnalytical Competenciesfostered
Media and Digital Technologiesfostered
Problem-solvingassessed
Project Managementassessed
Social CompetenciesCommunicationassessed
Cooperation and Teamworkassessed

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits4 credits
ExaminersP. Schnider
Typegraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.

Learning materials

 
Main linkInformation
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Groups

No information on groups available.

Restrictions

PlacesLimited number of places. Special selection procedure.
PriorityRegistration for the course unit is only possible for the primary target group
Primary target groupData Science MSc (261000)
Computer Science MSc (263000)
Mathematics BSc (404000)
Statistics MSc (436000)
Mathematics MSc (437000)
Waiting listuntil 07.10.2024
End of registration periodRegistration only possible until 30.09.2024

Offered in

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Computer Science MasterElective CoursesWInformation
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Mathematics MasterSelection: Further Realms and Some UZH CoursesWInformation