Tværvidenskab og Grundvidenskab

Applied Statistics for Researchers and Developers

E-learning course on statistical methods: Tools and understanding for gaining knowledge from experiments and data.
Are you regularly coming across statistical assessments in your work and want to know more? This course may help you.

The course covers 6 modules each running over 2 weeks each. The expected work-load per module is up to 25 hours of work. The topics of the 6 modules are:

• Introduction to R and descriptive statistics
• Populations, samples and statistical fundamentals; comparing groups
• Curve fitting and regression
• Factorial experiments
• Analysis of count data and binary data
• Models with random effects and repeated measures
 

A quick basic review of statistical concepts is included in the first two modules, but the course then quickly progresses to a more advanced and realistic complexity. With the help of the statistical software R, you try the various methods during examples, exercises and discussions.
Examples are mainly from bio-sciences. This angle of applications also affects the content of the course.

 

Diploma:
For passing the course and getting a diploma you are expected to submit practical assignments, typically with analysis of data, participate actively in discussions and time-synchronized group work, answer some multiple choice questionnaires, all together with  sufficient degree of skill to document your learning. Thus, diplomas are not given for participation alone.

Starting level:
You have had an introductory course in statistics and during your work you have frequently encountered statistical analysis and assessments such as p-values, confidence intervals, t-tests, standard errors. You sometimes carry out statistical analyses yourself, but may be uncomfortable with it and want to learn more.

Practicalities:
You need to have a PC with facilities to read common formats like pdf and PowerPoint, and to have a reasonable connection to the Internet. A webcam may be an advantage for interactive sessions, but this is not currently expected or demanded.
Modules typically run from Monday one week till Tuesday the next, with feedback, non-mandatory follow-up discussions and time to “recover” the remaining part of second week.
Over the six modules there is a considerable work load, but it is taken into consideration that you may be prevented from activities for some unspecified days, due to work or for other reasons. Stepping off for an entire week may be problematic.
 

Type: Short course, E-learning course 
Price: 10000 DKK

Place: Faculty of Life Sciences, University of Copenhagen

Course start: 17 February - 14 May 2010

Enrolment: Contact scientific secretary, Ditte Carlsen (on 31 January 2010 at the latest 

Restrictions: Max 30. Selection among timely applications is mainly on a first-come first-serve basis, secondly on regional and occupational distribution of participants
Teachers: Course coordinator, professor Ib Skovgaard (), statisticians at Department of Basic Sciences an Environment, Faculty of Life Sciences, University of Copenhagen