Lehrveranstaltungen
Lehrveranstaltungen im Wintersemester 2026/2027
3b. Seminare
Ort und Zeit
Seminar: Do, 16:30-18 Uhr, HS Medizinische Biometrie, 1. OG, Stefan-Meier-Str. 26, oder nach Vereinbarung
Voranmeldung: per Mail an PD Dr. Nadine Binder
Seminarvorbesprechung 23.07., 13:00, HS Medizinische Biometrie, 1. OG, Stefan-Meier-Str. 26
Seminarvorbesprechung 06.10., 16:30, HS Medizinische Biometrie, 1. OG, Stefan-Meier-Str. 26
Hinweis: Nur verwendbar im Studiengang "Mathematics in Data and Technology"
Keine Kursbelegung über HISinOne, aber Prüfungsanmeldung bis 14.10.2026 erforderlich!
Lehre
Dozent:in: Nadine Binder
Sprache: Vorträge/Teilnahme auf Deutsch oder auf Englisch möglich
Inhalt
The student seminar is a journal‑club style meeting where we critically read and discuss recent papers that use routine health‑care data. You’ll dissect the statistical or computational models, incl. survival analysis, causal‑effects methods, or machine learning, that turn raw diagnoses, labs, or medication records into clinical insights. You’ll work individually or potentially in pairs with medical students to prepare a presentation that summarizes the study, evaluates its methodology, and reflects on how the mathematics could be refined or applied elsewhere. The student seminar format will allow you to sharpen your ability for interpreting quantitative research, bridge theory with practice, and experience the interdisciplinary dialogue that drives modern evidence‑based medicine.
Vorkenntnisse
None that go beyond admission to the degree programme.
Verwendbarkeit
Mathematical Seminar (MScData24)
Elective in Data (MScData24)
Lehrveranstaltungen im Sommersemester 2026
3b. Seminare
Ort und Zeit
Seminar: Do, 16:30-18 Uhr, HS Medizinische Biometrie, 1. OG, Stefan-Meier-Str. 26
Voranmeldung: per E-Mail an Nadine Binder
Seminarvorbesprechung 01.04., 16:30-17:15, HS Medizinische Biometrie, 1. OG, Stefan-Meier-Str. 26
Hinweis: Nur verwendbar im Studiengang "Mathematics in Data and Technology"
Lehre
Dozent:in: Nadine Binder
Sprache: Vortrag/Teilnahme auf Deutsch oder Englisch möglich
Inhalt
The seminar is a journal‑club style meeting where we critically read and discuss recent papers that use routine health‑care data. You’ll dissect the statistical or computational models, incl. survival analysis, causal‑effects methods, or machine learning, that turn raw diagnoses, labs, or medication records into clinical insights. You’ll work individually or potentially in pairs with medical students to prepare a presentation that summarizes the study, evaluates its methodology, and reflects on how the mathematics could be refined or applied elsewhere. The seminar format will allow you to sharpen your ability for interpreting quantitative research, bridge theory with practice, and experience the interdisciplinary dialogue that drives modern evidence‑based medicine.
Vorkenntnisse
None that go beyond admission to the degree program.
Verwendbarkeit
Mathematical Seminar (MScData24)
Elective in Data (MScData24)
Die Zahl der ECTS-Punkte entnehmen Sie bitte den Ergänzungen zu den Modulhandbüchern.
Lehrveranstaltungen im Wintersemester 2025/2026
3b. Seminare
Ort und Zeit
Seminar Das konkrete Seminardatum steht noch nicht fest und wird nach Abstimmung mit den Teilnehmern festgelegt.
Seminarvorbesprechung 22.07., 13:00, HS Medizinische Biometrie, 1. OG, Stefan-Meier-Str. 26
Seminarvorbesprechung 30.09., 16:30, HS Medizinische Biometrie, 1. OG, Stefan-Meier-Str. 26
Hinweis: Nur verwendbar im Studiengang "Mathematics in Data and Technology"
In HISinOne keine Belegung, aber Prüfungsanmeldung bis 8.10.2025.
Lehre
Dozent:in: Nadine Binder
Sprache: Vorträge/Teilnahme auf Deutsch oder auf Englisch möglich
Inhalt
Imagine being able to use routine data such as diagnoses, lab results, and medication plans to answer medical questions in innovative ways and improve patient care. In this seminar, we will learn to identify relevant data, understand suitable analysis methods, and what to consider when applying them in practice. Together, we will analyze scientific studies on routine data and discuss clinical questions, the methods used, and their feasibility for implementation.
What makes this seminar special: Medical and mathematics students collaborate to understand scientific studies from both perspectives. When possible, you will work in pairs (or individually if no pair can be formed) to analyze a study from your respective viewpoints and prepare related presentations. You may test available programming code or develop your own approaches to replicate the methods and apply them to your own questions. The pairs can be formed during the preliminary meeting.
Vorkenntnisse
notwendig: Basics in Applied Mathematics \
nützlich: Wahrscheinlichkeitstheorie I
Verwendbarkeit
Mathematical Seminar (MScData24)
Elective in Data (MScData24)
Die Zahl der ECTS-Punkte entnehmen Sie bitte den Ergänzungen zu den Modulhandbüchern.
Lehrveranstaltungen im Sommersemester 2025
3b. Seminare
Ort und Zeit
Seminar: Di, 16:30-18 Uhr, SR 218, Ernst-Zermelo-Str. 1
Voranmeldung: per E-Mail an Nadine Binder
Seminarvorbesprechung 06.02., 13:30, HS Medizinische Biometrie, 1. OG, Stefan-Meier-Str. 26, Alternativtermin: 09.04.2025, gleiche Zeit und Ort
Hinweis: Nur verwendbar im Studiengang "Mathematics in Data and Technology"
Lehre
Dozent:in: Nadine Binder
Sprache: Vortrag/Teilnahme auf Deutsch oder Englisch möglich
Inhalt
Imagine being able to use routine data such as diagnoses, lab results, and medication plans to answer medical questions in innovative ways and improve patient care. In this seminar, we will learn to identify relevant data, understand suitable analysis methods, and what to consider when applying them in practice. Together, we will analyze scientific studies on routine data and discuss clinical questions, the methods used, and their feasibility for implementation.
What makes this seminar special: Medical and mathematics students collaborate to understand scientific studies from both perspectives. When possible, you will work in pairs (or individually if no pair can be formed) to analyze a study from your respective viewpoints and prepare related presentations. You may test available programming code or develop your own approaches to replicate the methods and apply them to your own questions. The pairs can be formed during the preliminary meeting.
Vorkenntnisse
notwendig: Basics in Applied Mathematics
nützlich: Wahrscheinlichkeitstheorie I
Verwendbarkeit
Mathematical Seminar (MScData24)
Elective in Data (MScData24)
Die Zahl der ECTS-Punkte entnehmen Sie bitte den Ergänzungen zu den Modulhandbüchern.