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Course title | City | Start date | Credits |
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Geometric Algebra for Robotics | Odense M | November 2024 | 2,5 ECTS |
The PhD School at the Faculty of Engineering at University of Southern Denmark
Title: Geometric Algebra for RoboticsThe Maersk Mc Kinney Moller Institute, SDU RoboticsTeaching language: EnglishTeachers: Christoffer Sloth chsl@mmmi.sdu.dk / Inigo Iturrate inju@mmmi.sdu.dkECTS: 2.5 ECTSPeriod: November 2024Offered in: Odense Prer |
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Digital Forvaltning | Odense M | August 2019 | 2 ECTS |
The PhD School at the Faculty of Business and Social Sciences at University of Southern Denmark
Digitalisering af den offentlige forvaltning påvirker de retlige rammer for forvaltningens virke. Kan man tale om digital forvaltningsret? Formålet med dette kursus er at synliggøre, hvorledes digitaliseringen påvirker den almene |
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Model-driven Software Development (MSD) | Odense M | February 2025 | 10 ECTS |
The PhD School at the Faculty of Engineering at University of Southern Denmark
The Maersk Mc-Kinney Moller Institute, Odense Teaching activity id: RP-MSD-U2. Teaching language: English - ECTS / weighting: 10 ECTS Teacher: Miguel Enrique Campusano Araya - mica@mmmi.sdu.dk Period: February 2025 |
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Cross Institutional Molecular Biophysics (2025) | Aarhus | - | 10 ECTS |
Graduate School of Natural Sciences at Aarhus University
Objectives of the course:The Cross Institutional Molecular Biophysics course is interdisciplinary and cross-institutional and will be given by a series of lecturers who are experts within each their subfield of biophysics. The coherence of the |
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Introduction to STATA (4-5/9 2025) | Odense M | September 2025 | 1,2 ECTS |
Graduate School of Health Sciences at University of Southern Denmark
The course is intended for beginners, for those who want to brush-up their Stata skills, and for those with knowledge about statistical models or methods who want to know how to implement them in Stata. It is specifically about using Stata rather than exp |
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Muscle metabolism and E-C coupling – role in exercise, train... | Odense M | November 2025 | 3,8 ECTS |
Graduate School of Health Sciences at University of Southern Denmark
The course program covers aspects related to regulation of muscle function at rest and during exercise, with emphasis on metabolic effects on excitation contraction (E-C) coupling. The course focuses on the integrated physiology responses to exercise and |
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Strategic research communication on news media and social me... | Odense M | October 2025 | 2 ECTS |
Graduate School of Health Sciences at University of Southern Denmark
This course will introduce the participants to how they can use news media and social media to increase awareness and dissemination of their research. The course will be a combination of lectures by journalists and researchers highly experienced in using |
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Biostatistics II (23/10 + 30/10 + 6/11 + 13/11 + exam 10-11/... | Odense M | October 2025 | 6 ECTS |
Graduate School of Health Sciences at University of Southern Denmark
Topics covered are: analysis of longitudinal data, logistic regression, poisson regression, survival analysis, analysis of diagnostic studies, agreement and standardization. The statistical package Stata is used extensively for analysis of real medical an |
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Biostatistics I (11/9 + 18/9 + 25/9 + 2/10 + 7/10 + Exam 8-2... | Odense M | September 2025 | 5,1 ECTS |
Graduate School of Health Sciences at University of Southern Denmark
The student is introduced to the basic statistical techniques applied to biological and medical examples. Topics covered are: Descriptive statistics, data types, elementary probability concepts, statistical distributions, comparison of two samples by para |
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Which covariates to adjust for: An introduction to directed ... | Odense M | August 2025 | 2,4 ECTS |
Graduate School of Health Sciences at University of Southern Denmark
Directed acyclic graphs (DAGs) are increasingly used in modern epidemiology to visually present causal assumptions. Once one can manage the rules for translating the causal assumptions into a DAG and reading off statistical associations from the causal as |