Suchergebnis: Katalogdaten im Frühjahrssemester 2024

Gesundheitswissenschaften und Technologie Master Information
Vertiefung in Bewegungswissenschaften und Sport
Wahlfächer
Wahlfächer I
NummerTitelTypECTSUmfangDozierende
376-0224-00LClinical Exercise PhysiologyW3 KP2VC. Spengler, C. Schmied, weitere Dozierende
KurzbeschreibungThis lecture series provides a comprehensive overview of the most important aspects of clinical exercise testing for diagnosis and assessment of functional status in different patient populations, e.g. patients with pulmonary, cardiac or neuro-muscular disease, with obesity, young or old age. Also, special aspects in the context of training perscriptions in these populations will be discussed.
LernzielBy the end of this module, students:
- Have the theoretical basis for disease-specific exercise testing and interpretation in clinical settings
- Know important aspects for disease-specific exercise-training prescriptions and assessment of training progress
- Are able to critically review and interpret scientific literature in the context of physical fitness, performance and training in different patient populations
SkriptHandouts are provided via moodle.
LiteraturHandouts are provided via moodle.
Voraussetzungen / BesonderesThe courses "Anatomie & Physiologie I+II", as well as "Exercise Physiology I" (or Anatomy, Physiology and Exercise Physiology - equivalents for students without HST-BSc), are required.
KompetenzenKompetenzen
Fachspezifische KompetenzenKonzepte und Theoriengeprüft
Verfahren und Technologiengeprüft
Methodenspezifische KompetenzenAnalytische Kompetenzengeprüft
Entscheidungsfindunggeprüft
Problemlösunggeprüft
376-1168-00LSports BiomechanicsW3 KP2VS. Lorenzetti
KurzbeschreibungVarious types of sport are studied from a mechanical point of view. Of particular interest are the key parameters of a sport as well as the performance relevant indicators.
LernzielThe aim of this lecture is to enable the students to study a sport from a biomechanical viewpoint and to carry out a small project including planing, measurement set-up, analysis and discussion.
InhaltSport biomechanics is concerned with the physical and mechanical basic principles of sports. The lecture requires an in-depth mechanical understanding on the side of the student. In this respect, the pre-attendance of the lectures Biomechanics II and Movement and Sports Biomechanics or an equivalent course is expected. The human body is treated as a mechanical system during sport. The interaction of the active and passive movements and outside influences is analysed. Using sports such as ski-jumping, cycling, or weight training, applicable models are created, analyzed and suitable measuring methods are introduced. In particular, the constraints as well as the limitations of the models are of great relevance. The students work on their own project, develop their own models for different sport types, critically discuss the advantages and disadvantages and evaluate applicable measurement methods.
SkriptHandout will be distributed.
KompetenzenKompetenzen
Fachspezifische KompetenzenKonzepte und Theoriengeprüft
Verfahren und Technologiengeprüft
Methodenspezifische KompetenzenAnalytische Kompetenzengeprüft
Entscheidungsfindunggefördert
Medien und digitale Technologiengeprüft
Problemlösunggeprüft
Projektmanagementgeprüft
Soziale KompetenzenKommunikationgeprüft
Kooperation und Teamarbeitgeprüft
Menschenführung und Verantwortunggeprüft
Selbstdarstellung und soziale Einflussnahmegeprüft
Sensibilität für Vielfalt geprüft
Persönliche KompetenzenAnpassung und Flexibilitätgeprüft
Kreatives Denkengeprüft
Kritisches Denkengeprüft
Integrität und Arbeitsethikgeprüft
Selbstbewusstsein und Selbstreflexion geprüft
376-1306-00LClinical Neuroscience (University of Zurich)
No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH as an incoming student.
UZH Module Code: BME389

Mind the enrolment deadlines at UZH:
https://www.uzh.ch/cmsssl/en/studies/application/deadlines.html
W3 KP3VUni-Dozierende
KurzbeschreibungThe lecture series "Clinical Neuroscience" presents a comprehensive, condensed overview of the most important neurological diseases, their clinical presentation, diagnosis, therapy options and possible causes.
LernzielBy the end of this module students should be able to:
- demonstrate their understanding and deep knowledge concerning the main neurological diseases
- identify and explain the different clinical presentation of these diseases, the methodology of diagnosis and the current therapies available
- summarize and critically review scientific literature efficiently and effectively
376-1660-00LScientific Writing, Reporting and Communication Belegung eingeschränkt - Details anzeigen W3 KP2VW. R. Taylor, S. H. Hosseini Nasab
KurzbeschreibungThis course aims to teach students many of the unwritten rules on how to communicate effectively, from writing reports or manuscripts (or indeed their Master thesis!) through to improving skills in oral presentations, and presenting themselves at interview.
LernzielThis course will teach students to communicate effectively in official environments, including:
- writing manuscripts, theses, CVs, reports etc
- presenting posters
- oral presentations
- critical reviews of literature
376-1719-00LStatistics for Experimental Research Information
Findet dieses Semester nicht statt.
W3 KP2VNoch nicht bekannt
KurzbeschreibungStudents will learn the necessary statistical concepts and skills to independently (1) design experiments (2) analyse experimental data and (3) report analyses and results in a scientifically appropriate manner.
LernzielAfter successful completion of the course, students should be able to:
1. Determine appropriate experimental designs and choose, justify and perform the appropriate statistical analyses using R.
2. Report analyses and results in a scientifically appropriate manner, as laid out by the Publication Manual of the American Psychological Association (APA, sixth edition).
InhaltWe will cover basic statistical concepts (e.g., central tendency, variability, data distribution), the t-test (dependent and independent), ANOVA (univariate, factorial and repeated measures), correlation, multiple regression, nonparametric techniques, validity and reliability tests, effect size, data transformation, power and sample size estimation.
SkriptLecture notes will be delivered in the form of commented presentations in Microsoft Powerpoint (i.e. pptx) format. R practical session assignments will be delivered in pdf-format.
LiteraturBoth in the lectures and in the tutorials and practical sessions, we will refer students to the following publication:

Field A, Miles J, Field Z (2013) Discovering Statistics Using R. Sage Publications Ltd, London, UK
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