General information

Course name	Lecture: Advanced Statistical Learning for Data Science
Subtitle
Course number	440895
Semester	WiSe 2024/25
Current number of participants	34
maximum number of participants	25
Entries on waiting list	16
Home institute	Institut für Medizinische Bioinformatik (UMG)
Courses type	Lecture in category Teaching
First date	Tuesday, 22.10.2024 10:00 - 12:00, Room: (2.122 (GZG (Goldschmidtstr. 1)))
Type/Form
Performance record	→Ab hier automatisch erfasste Informationen / Beyond this point, the information is filled in automatically← Prüfungsleistung(en) je Modul / Exam details per module: * [(M.Inf.2102.Mp) Advanced Statistical Learning for Data Science][1] * Andere Prüfungsform: Mo, 31.03.2025 [1]: https://ecampus.uni-goettingen.de/h1/pages/startFlow.xhtml?_flowId=detailView-flow&unitId=35727&periodId=277

Lehrende

Tutor/-innen

Rooms and times

(2.122 (GZG (Goldschmidtstr. 1))): Tuesday: 10:00 - 12:00, weekly (14x)
(MN05 (GZG (Goldschmidtstr. 1))): Friday: 13:30 - 15:00, weekly (14x)

Fields of study

Module assignments

Angewandte Informatik konsekutiven Master-Studiengang "Angewandte Informatik", 22. Version (WiSe 2023/24 - SoSe 2024) > Studienschwerpunkt "Data Science" - Themengebiet "Data Science" (wenigstens 21 C) - Wahlmodule > M.Inf.2102 - Advanced Statistical Learning for Data Science, valid from WiSe 2022/23 > Lecture (Advanced Statistical Learning for Data Science)
Angewandte Data Science konsekutiven Master-Studiengang "Angewandte Data Science", 6. Version valid from WiSe 2024/25 > Master-Studiengang „Angewandte Data Science“ - Professionalisierungsbereich (41 C) - Wahlbereich Data Science (5 C) - Statistik > M.Inf.2102 - Advanced Statistical Learning for Data Science, valid from WiSe 2022/23 > Lecture (Advanced Statistical Learning for Data Science)
Mathematik konsekutiven Master-Studiengang "Mathematik", 19. Version valid from WiSe 2024/25 > Study tracks in the Master's Degree programme in Mathematics (M.Sc.) - Study track MDS "Mathematical Data Science" - Elective compulsory modules in Mathematics (60 C) - Computer science > M.Inf.2102 - Advanced Statistical Learning for Data Science, valid from WiSe 2022/23 > Lecture (Advanced Statistical Learning for Data Science)
Mathematik konsekutiven Master-Studiengang "Mathematik", 16. Version (SoSe 2023) > Study tracks in the Master's Degree programme in Mathematics (M.Sc.) - Study track MDS "Mathematical Data Science" - Elective compulsory modules in Mathematics (60 C) - Computer science > M.Inf.2102 - Advanced Statistical Learning for Data Science, valid from WiSe 2022/23 > Lecture (Advanced Statistical Learning for Data Science)
Angewandte Statistik konsekutiven Master-Studiengang "Angewandte Statistik", 2. Version (SoSe 2023) > Master-Studiengang Angewandte Statistik (120 C) - Wahlpflichtbereich (36 C) - Wahlpflichtbereich: Fortgeschrittene statistische Modellierung (18 C) > M.Inf.2102 - Advanced Statistical Learning for Data Science, valid from WiSe 2022/23 > Lecture (Advanced Statistical Learning for Data Science)
Mathematik konsekutiven Master-Studiengang "Mathematik", 18. Version (SoSe 2024) > Study tracks in the Master's Degree programme in Mathematics (M.Sc.) - Study track MDS "Mathematical Data Science" - Elective compulsory modules in Mathematics (60 C) - Computer science > M.Inf.2102 - Advanced Statistical Learning for Data Science, valid from WiSe 2022/23 > Lecture (Advanced Statistical Learning for Data Science)
Angewandte Statistik konsekutiven Master-Studiengang "Angewandte Statistik", 4. Version (SoSe 2024) > Master-Studiengang Angewandte Statistik (120 C) - Wahlpflichtbereich (32 - 36 C) - Wahlpflichtbereich: Spezialisierung (14 - 18 C) - Wahlpflichtbereich Spezialisierung: Machine Learning (14 - 18 C) (f > M.Inf.2102 - Advanced Statistical Learning for Data Science, valid from WiSe 2022/23 > Lecture (Advanced Statistical Learning for Data Science)
Angewandte Data Science konsekutiven Master-Studiengang "Angewandte Data Science", 6. Version valid from WiSe 2024/25 > Master-Studiengang „Angewandte Data Science“ - Fachstudium (49 C) - Statistische Methoden der Data Science > M.Inf.2102 - Advanced Statistical Learning for Data Science, valid from WiSe 2022/23 > Lecture (Advanced Statistical Learning for Data Science)
Angewandte Data Science konsekutiven Master-Studiengang "Angewandte Data Science", 5. Version (WiSe 2023/24 - SoSe 2024) > Master-Studiengang „Angewandte Data Science“ - Fachstudium (49 C) - Statistische Methoden der Data Science > M.Inf.2102 - Advanced Statistical Learning for Data Science, valid from WiSe 2022/23 > Lecture (Advanced Statistical Learning for Data Science)
Angewandte Informatik konsekutiven Master-Studiengang "Angewandte Informatik", 21. Version (WiSe 2022/23 - SoSe 2023) > Studienschwerpunkt "Data Science" - Themengebiet "Data Science" (wenigstens 21 C) - Wahlmodule > M.Inf.2102 - Advanced Statistical Learning for Data Science, valid from WiSe 2022/23 > Lecture (Advanced Statistical Learning for Data Science)
Angewandte Data Science konsekutiven Master-Studiengang "Angewandte Data Science", 5. Version (WiSe 2023/24 - SoSe 2024) > Master-Studiengang „Angewandte Data Science“ - Professionalisierungsbereich (41 C) - Wahlbereich Data Science (5 C) - Statistik > M.Inf.2102 - Advanced Statistical Learning for Data Science, valid from WiSe 2022/23 > Lecture (Advanced Statistical Learning for Data Science)
Compu Bio Bioinformatics konsekutiven Master-Studiengang "Computational Biology and Bioinformatics", 5. Version valid from WiSe 2024/25 > Master-Studiengang "Computational Biology and Bioinformatics" - Professionalisierungsbereich (36 C) - Wahlpflichtmodule „Informatik“ > M.Inf.2102 - Advanced Statistical Learning for Data Science, valid from WiSe 2022/23 > Lecture (Advanced Statistical Learning for Data Science)
Angewandte Statistik konsekutiven Master-Studiengang "Angewandte Statistik", 6. Version valid from SoSe 2025 > Master-Studiengang Angewandte Statistik (120 C) - Wahlpflichtbereich (32 - 36 C) - Wahlpflichtbereich: Spezialisierung (14 - 18 C) - Wahlpflichtbereich Spezialisierung: Machine Learning (14 - 18 C) (f > M.Inf.2102 - Advanced Statistical Learning for Data Science, valid from WiSe 2022/23 > Lecture (Advanced Statistical Learning for Data Science)
Angewandte Statistik konsekutiven Master-Studiengang "Angewandte Statistik", 3. Version (WiSe 2023/24) > Master-Studiengang Angewandte Statistik (120 C) - Wahlpflichtbereich (36 C) - Wahlpflichtbereich: Spezialisierung (18 C) - Wahlpflichtbereich Spezialisierung: Informatik (folgende Liste plus alle Modu > M.Inf.2102 - Advanced Statistical Learning for Data Science, valid from WiSe 2022/23 > Lecture (Advanced Statistical Learning for Data Science)
Angewandte Statistik konsekutiven Master-Studiengang "Angewandte Statistik", 1. Version (WiSe 2022/23) > Master-Studiengang Angewandte Statistik (120 C) - Wahlpflichtbereich (36 C) - Wahlpflichtbereich: Spezialisierung (18 C) - Wahlpflichtbereich Spezialisierung: Informatik (folgende Liste plus alle Modu > M.Inf.2102 - Advanced Statistical Learning for Data Science, valid from WiSe 2022/23 > Lecture (Advanced Statistical Learning for Data Science)
Angewandte Statistik konsekutiven Master-Studiengang "Angewandte Statistik", 4. Version (SoSe 2024) > Master-Studiengang Angewandte Statistik (120 C) - Wahlpflichtbereich (32 - 36 C) - Wahlpflichtbereich: Fortgeschrittene statistische Modellierung (18 C) > M.Inf.2102 - Advanced Statistical Learning for Data Science, valid from WiSe 2022/23 > Lecture (Advanced Statistical Learning for Data Science)
Compu Bio Bioinformatics konsekutiven Master-Studiengang "Computational Biology and Bioinformatics", 4. Version (SoSe 2024) > Master-Studiengang "Computational Biology and Bioinformatics" - Professionalisierungsbereich (36 C) - Wahlpflichtmodule „Informatik“ > M.Inf.2102 - Advanced Statistical Learning for Data Science, valid from WiSe 2022/23 > Lecture (Advanced Statistical Learning for Data Science)
Angewandte Statistik konsekutiven Master-Studiengang "Angewandte Statistik", 3. Version (WiSe 2023/24) > Master-Studiengang Angewandte Statistik (120 C) - Wahlpflichtbereich (36 C) - Wahlpflichtbereich: Fortgeschrittene statistische Modellierung (18 C) > M.Inf.2102 - Advanced Statistical Learning for Data Science, valid from WiSe 2022/23 > Lecture (Advanced Statistical Learning for Data Science)
Angewandte Data Science konsekutiven Master-Studiengang "Angewandte Data Science", 4. Version (WiSe 2022/23 - SoSe 2023) > Master-Studiengang „Angewandte Data Science“ - Fachstudium (49 C) - Statistische Methoden der Data Science > M.Inf.2102 - Advanced Statistical Learning for Data Science, valid from WiSe 2022/23 > Lecture (Advanced Statistical Learning for Data Science)
Mathematik konsekutiven Master-Studiengang "Mathematik", 17. Version (WiSe 2023/24) > Study tracks in the Master's Degree programme in Mathematics (M.Sc.) - Study track MDS "Mathematical Data Science" - Elective compulsory modules in Mathematics (60 C) - Computer science > M.Inf.2102 - Advanced Statistical Learning for Data Science, valid from WiSe 2022/23 > Lecture (Advanced Statistical Learning for Data Science)
Angewandte Statistik konsekutiven Master-Studiengang "Angewandte Statistik", 6. Version valid from SoSe 2025 > Master-Studiengang Angewandte Statistik (120 C) - Wahlpflichtbereich (32 - 36 C) - Wahlpflichtbereich: Fortgeschrittene statistische Modellierung (18 C) > M.Inf.2102 - Advanced Statistical Learning for Data Science, valid from WiSe 2022/23 > Lecture (Advanced Statistical Learning for Data Science)
Angewandte Informatik konsekutiven Master-Studiengang "Angewandte Informatik", 23. Version valid from WiSe 2024/25 > Studienschwerpunkt "Data Science" - Themengebiet "Data Science" (wenigstens 21 C) - Wahlmodule > M.Inf.2102 - Advanced Statistical Learning for Data Science, valid from WiSe 2022/23 > Lecture (Advanced Statistical Learning for Data Science)
Angewandte Statistik konsekutiven Master-Studiengang "Angewandte Statistik", 2. Version (SoSe 2023) > Master-Studiengang Angewandte Statistik (120 C) - Wahlpflichtbereich (36 C) - Wahlpflichtbereich: Spezialisierung (18 C) - Wahlpflichtbereich Spezialisierung: Informatik (folgende Liste plus alle Modu > M.Inf.2102 - Advanced Statistical Learning for Data Science, valid from WiSe 2022/23 > Lecture (Advanced Statistical Learning for Data Science)
Compu Bio Bioinformatics konsekutiven Master-Studiengang "Computational Biology and Bioinformatics", 3. Version (WiSe 2023/24) > Master-Studiengang "Computational Biology and Bioinformatics" - Professionalisierungsbereich (36 C) - Wahlpflichtmodule „Informatik“ > M.Inf.2102 - Advanced Statistical Learning for Data Science, valid from WiSe 2022/23 > Lecture (Advanced Statistical Learning for Data Science)
Compu Bio Bioinformatics konsekutiven Master-Studiengang "Computational Biology and Bioinformatics", 2. Version (SoSe 2023) > Master-Studiengang "Computational Biology and Bioinformatics" - Professionalisierungsbereich (36 C) - Wahlpflichtmodule „Informatik“ > M.Inf.2102 - Advanced Statistical Learning for Data Science, valid from WiSe 2022/23 > Lecture (Advanced Statistical Learning for Data Science)
Angewandte Statistik konsekutiven Master-Studiengang "Angewandte Statistik", 5. Version (WiSe 2024/25) > Master-Studiengang Angewandte Statistik (120 C) - Wahlpflichtbereich (32 - 36 C) - Wahlpflichtbereich: Spezialisierung (14 - 18 C) - Wahlpflichtbereich Spezialisierung: Machine Learning (14 - 18 C) (f > M.Inf.2102 - Advanced Statistical Learning for Data Science, valid from WiSe 2022/23 > Lecture (Advanced Statistical Learning for Data Science)
Angewandte Statistik konsekutiven Master-Studiengang "Angewandte Statistik", 5. Version (WiSe 2024/25) > Master-Studiengang Angewandte Statistik (120 C) - Wahlpflichtbereich (32 - 36 C) - Wahlpflichtbereich: Fortgeschrittene statistische Modellierung (18 C) > M.Inf.2102 - Advanced Statistical Learning for Data Science, valid from WiSe 2022/23 > Lecture (Advanced Statistical Learning for Data Science)

Admission settings

The course is part of admission "Beschränkte Teilnehmendenanzahl: Advanced Statistical Learning for Data Science".

The following rules apply for the admission:

A defined number of seats will be assigned to these courses.
The seats will be assigned in order of enrolment.

Lecture: Advanced Statistical Learning for Data Science - Details