Course Calendar

Description

C32/45 Quantitative Medical Graphics

ECTS: 0.00
GP: ClinFO
Responsible: Jens Randel Nyengaard
Secretary: Helle Mellerup
Application deadline: 21-2-2018

Quantitative Medical Graphics

Reg.nr: C32/45

is being offered by the Graduate School of Health, Aarhus University, spring 2018.

Criteria for participation: University degree in medicine, dentistry, nursing, or Master’s degree in other fields and/or postgraduate research fellows (PhD students and research-year medical students).

Aim: Give participants means to evaluate quantitative graphs and provide them with knowledge about which graphs to choose for their own data and a software toolbox to create publish-ready graphs for international journals.

Learning outcomes:

Form: 2 x 6 hours. Approximately half of the time will be used to illustrate theories and examples and half of the time will be used for demonstrations and exercises. During the practical exercises there will be one computer for each participant. In the course we will use SigmaPlot to produce quantitative graphs, but the principles also apply for other programmes. Participants are welcome to bring their own data for discussion with the teachers. There will be some preparation for the course: reading prior to the first day, written assignments between the two course days and a mandatory written assignment that must be handed in one week after the course.

Recommended knowledge for participation: The participants should have a basic experience using Windows and Microsoft Excel.

ECTS: 0,0

Instructors: Jens R. Nyengaard/Johnnie Bremholm Andersen

Dates and times: 18 and 25 April, 2018, 9:00 – 16:00.

Place: “Lille IT-lab.”, Victor Albeck Bygningen, Vennelyst Boulevard 4, 8000 Aarhus,

Number of Participants: 24

Head of course: Jens R. Nyengaard

Language: English

Exam: The written assignment will be evaluated (passed/not passed).

Contents: The theoretical foundation for creation and display of quantitative graphs (graphical coding) is described. The structures of graphs are covered with a description of factors and elements of importance for effective reading of graphs (decoding). Advantages and disadvantages of various types of graphs are discussed by comparing various graphing methods applied to data sets. The course uses the SigmaPlot graphical software by which the participants will learn to produce clear graphs. NOTE: the software runs on PC only! In addition, exchange of data between Windows based programmes and SigmaPlot will be covered in theory and practise.

Course fee: 1680 DKK

Participation in the course is without cost for:

Application deadline: 21 February, 2018

Application: https://service.health.au.dk/modules/Course/mypage/coursecalendar