Statistical Data Analysis - Einzelansicht

Funktionen:

Veranstaltungsart	Vorlesung/Übung	Veranstaltungsnummer	18119
SWS	6	Semester	WiSe 2025/26
Einrichtungen	Institut für Informatik und Computational Science Institut für Mathematik	Sprache	englisch
Belegungsfrist	01.10.2025 - 10.11.2025 aktuell

Gruppe 1:

Vormerken: jetzt belegen / abmelden

	Tag	Zeit	Rhythmus	Dauer	Raum	Lehrperson	Ausfall-/Ausweichtermine
Vorlesung	Do	10:00 bis 12:00	wöchentlich	16.10.2025 bis 05.02.2026	2.27.1.01	Prof. Dr. Carpentier	25.12.2025: 1. Weihnachtstag 01.01.2026: Neujahr
Übung	Do	14:00 bis 15:45	wöchentlich	16.10.2025 bis 05.02.2026	2.09.0.14	Rouyer	25.12.2025: 1. Weihnachtstag 01.01.2026: Neujahr
Vorlesung	Fr	12:00 bis 14:00	wöchentlich	17.10.2025 bis 06.02.2026	2.28.0.108	Prof. Dr. Carpentier	26.12.2025: 2. Weihnachtstag 02.01.2026: Akademische Weihnachtsferien

Gruppe 2:

Vormerken: jetzt belegen / abmelden

	Tag	Zeit	Rhythmus	Dauer	Raum	Lehrperson	Ausfall-/Ausweichtermine
Übung	Di	16:00 bis 18:00	wöchentlich	14.10.2025 bis 03.02.2026	2.09.0.14	Rouyer	23.12.2025: Akademische Weihnachtsferien 30.12.2025: Akademische Weihnachtsferien
Vorlesung	Do	10:00 bis 12:00	wöchentlich	16.10.2025 bis 05.02.2026	2.27.1.01	Prof. Dr. Carpentier	25.12.2025: 1. Weihnachtstag 01.01.2026: Neujahr
Vorlesung	Fr	12:00 bis 14:00	wöchentlich	17.10.2025 bis 06.02.2026	2.28.0.108	Prof. Dr. Carpentier	26.12.2025: 2. Weihnachtstag 02.01.2026: Akademische Weihnachtsferien

Kommentar	Welcome to the Statistical Data Analysis Lecture. In this lecture, we will study together the foundations of statistical Data Analysis. The first lecture is on Thursday 16.10 at 10:15, in Room 2.27.1.01 as announced in PULS. During this session, we will discuss about the organisation of the lecture. Please attend this session if you want to join the lecture, so that we can organise. For those of you who cannot attend in person, we will also provide a zoom link in the Moodle (see course organisation), this lecture will be hybrid. Important information: the exercise sessions will take place during the first week of lecture, as announced on PULS (you do not need to prepare an exercise sheet for it, please come with a computer or a tablet). Note that the first exercise session is on Tuesday 14.10 at 16:15 as announced in PULS, ie before the first lecture. For more information, please register to the Moodle of the lecture. For those of you who will also follow the bridge lecture Foundation of Stochastics (FoS) in this semester: it is advisable to first follow FoS in the coming semester, and to postpone your enrollment in Statistical Data Analysis (SDA) to next year. It is indeed very challenging to follow SDA if you do not have the mathematical background from FoS.

Kommentar

Welcome to the Statistical Data Analysis Lecture. In this lecture, we will study together the foundations of statistical Data Analysis.

The first lecture is on Thursday 16.10 at 10:15, in Room 2.27.1.01 as announced in PULS. During this session, we will discuss about the organisation of the lecture. Please attend this session if you want to join the lecture, so that we can organise. For those of you who cannot attend in person, we will also provide a zoom link in the Moodle (see course organisation), this lecture will be hybrid.

Important information: the exercise sessions will take place during the first week of lecture, as announced on PULS (you do not need to prepare an exercise sheet for it, please come with a computer or a tablet). Note that the first exercise session is on Tuesday 14.10 at 16:15 as announced in PULS, ie before the first lecture.

For more information, please register to the Moodle of the lecture.

For those of you who will also follow the bridge lecture Foundation of Stochastics (FoS) in this semester: it is advisable to first follow FoS in the coming semester, and to postpone your enrollment in Statistical Data Analysis (SDA) to next year. It is indeed very challenging to follow SDA if you do not have the mathematical background from FoS.

Strukturbaum

Die Veranstaltung wurde 5 mal im Vorlesungsverzeichnis WiSe 2025/26 gefunden:

Vorlesungsverzeichnis

Mathematisch-Naturwissenschaftliche Fakultät

Institut für Mathematik

Master of Science

Mathematics (Prüfungsversion ab WiSe 2019/20)

Elective Modules

Theory of Probability and Statistics

MATVMD837 - Statistical Data Analysis - - - 1

Mathematik (Prüfungsversion ab WiSe 2015/16)

Wahlpflichtmodule

Bereich Wahrscheinlichkeitstheorie und Statistik

MATVMD837 - Statistical Data Analysis - - - 2

Institut für Informatik und Computational Science

Master of Science

Data Science (Prüfungsversion ab WiSe 2018/19)

Compulsory Modules

MATVMD837 - Statistical Data Analysis - - - 3

Computational Science (Prüfungsversion ab WiSe 2019/20)

V. Vertiefungsmodule Naturwissenschaften

Bereich Mathematik

MATVMD837 - Statistical Data Analysis - - - 4

Wirtschafts- und Sozialwissenschaftliche Fakultät

Wirtschaftswissenschaften

Master of Science

Wirtschaftsinformatik und Digitale Transformation (Prüfungsversion ab WiSe 2017/18)

Wahlpflichtmodule

Informatik

MATVMD837 - Statistical Data Analysis - - - 5