NMAK14003U Applied Statistics
MSc Programme in Agriculture
MSc Programme in Environmental Chemistry and Health
Each student carries out a statistical project (in a group) related to an experiment or a numerical investigation preferably delivered by one of the students in the group. A report is written in journal style and presented orally. Besides, a small number of statistical themes are taught. Examples of such themes are multi-way ANOVA, random effects, analysis of repeated measures and cross-over trials, analysis of count data or ordinal data, analysis of data with detection limit, simulation methods, non-linear regression models, analysis of time series data, Markov models. There will also be some discussion of statistical methods relevant to application areas such as biology, chemistry, computer science, nutrition, and sport science. The statistical themes as well as the application areas may vary from year to year and to some extent adapt to the interests of the students.
The course aims at giving the student experience of carrying out
statistical analyses. The topics (methods) taught may vary from
year to year.
After completing the course the student should be able to:
Knowledge:
- recognize certain data types, identify and specify appropriate
statistical models, and argue for the appropriateness
- explain the prerequisities, prospects and limitations of the
methods
Skills:
- formulate relevant problems and choose an appropriate statistical
model addressing these problems
- carry out the actual analysis (computations). This includes model
fitting, model validation and hypothesis testing.
- extract relevant estimates, draw conclusions and communicate the
results from the analysis
- use the statistical programming language R to carry out the
analyses
Competences:
- independently formulate scientifically relevant questions -
motivated by data of similar types as those presented in the course
- and answer them by the use of statistical
methods.
- Category
- Hours
- Exam
- 2
- Guidance
- 5
- Lectures
- 20
- Practical exercises
- 20
- Preparation
- 69
- Project work
- 80
- Theory exercises
- 10
- Total
- 206
As
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- Credit
- 7,5 ECTS
- Type of assessment
- Written assignmentOral examination, 30 minutesDescription of Examination: Each group writes a report in a journal paper format about their project. At the end of the course each student is examined individually. The grade is awarded on the basis of an overall assessment of the report and the oral exam.
- Aid
- All aids allowed
- Marking scale
- passed/not passed
- Censorship form
- No external censorship
Several internal examiners
- Re-exam
As the ordinary exam. If the student has not handed in a passable report during the course, he/she must hand in a report no later than two weeks before the beginning of the re-exam week.
Criteria for exam assesment
Quality of written report with focus on describing and using
appropriate statistical methods. Quality of oral presentation with
focus on presenting key methodology and results.
The student must in a satisfactory way demonstrate that he/she has
mastered the learning outcome of the
course.
Course information
- Language
- English
- Course code
- NMAK14003U
- Credit
- 7,5 ECTS
- Level
- Full Degree Master
- Duration
- 1 block
- Placement
- Block 4
- Schedule
- A
- Course capacity
- 25
- Continuing and further education
- Study board
- Study Board of Biology and Animal Science
Contracting department
- Department of Mathematical Sciences
Course responsibles
- Helle Sørensen (5-6f6c73736c4774687b6f35727c356b72)