ST520: Applied Statistics (5 ECTS)

STADS: 25000001

Level
Bachelor course

Teaching period
The course is offered in the spring semester.

Teacher responsible
Email: hcpetersen@imada.sdu.dk

Timetable
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Comment:
Ubegrænset deltagerantal.

skema opdateret

Prerequisites:
None

Academic preconditions:

• It is expected that the students have a mathematical knowledge corresponding to the content in one of the following courses: FF506 Mathematics, statistics and physics for biology and pharmacy; MM554: Mathematics for biology; MM555: Mathematics for Biochemistry and Molecular Biology, Biomedicine and Chemistry; MM556: Mathematics and statistics for pharmacy.
• First year of respective study programmes.

Course introduction
The course has as purpose to enable the students to:

• Understand concepts in probability and distribution theory.
• Utilize graphics and summary methods for descriptive data analysis.
• Describe data using key statistics such as mean, variance, and correlation.
• Construct confidence intervals for key statistics.
• Test simple statistical hypotheses.
• Analyze data using simple regression models.
• Design data collection.
• Understand central elements in published results from statistical analyze of biological data.
• Critically evaluate the appropriateness of employed methods and inferences based on these.
• Present statistical results in non-technical terms.
• Use the statistical software R for analysing actual data, which is important in regard to being able to work academically-scientifically with – in a broad sense – biological problems.

The course builds on the knowledge acquired in the courses in the first or first two years of the respective study programmes; and gives an academic basis for studying the all later topics in the curriculum, as well as the bachelor and master projects.

In relation to the competence profile of the degree it is the explicit focus of the course to:

• Give the competence to working critically with own projects and data.
• Give skills to critival evaluate scientific publications.
• Give knowledge and understanding of choice and use of appropriate statistical methods.

Expected learning outcome
The learning objective of the course is that the student demonstrates the ability to:

• Utilizing graphics and summary methods for descriptive data analysis.
• Describing data using key statistics such as mean, variance, and correlation.
• Constructing confidence intervals for key statistics.
• Testing simple statistical hypotheses.
• Analyzing data using simple regression models.
• Designing data collection.
• Understanding central elements in published results from statistical analyses of biological data.
• Critically evaluating the appropriateness of employed methods and inferences based on these.
• Presenting statistical results in non-technical terms.
• Use R for simple statistical analyses.

Subject overview


Literature

Meddeles ved kursets start.

Website
This course uses e-learn (blackboard).

Prerequisites for participating in the exam
None

Assessment and marking:

1. Mandatory e-test, quizzes and written home assignments. Overall assessment, 7-point grading scale, internal examiner. (5 ECTS). (25000002).

Expected working hours
The teaching method is based on three phase model.
Intro phase: 28 hours
Skills training phase: 28 hours

Educational activities

• Work on specific problems not covered in the training phase hours.
• Discussion of the terms and concepts and problems in regard to data collection and data quality.

Educational form
In the intro phase a modified version of the classical lecture is employed, where the terms and concepts of the topic are presented, from theory as well as from examples based on actual data. In these hours there is room for questions and discussions. In the training phase the students work with data-based problems and discussion topics, related to the content of the previous lectures in the intro phase. In these hours there is a possibility of working specifically with selected difficult concepts. In the study phase the students work independently with problems and the understanding of the terms and concepts of the topic. Questions from the study phase can afterwards be presented in either the intro phase hours aor the study phase hours.

Language
This course is taught in Danish or English, depending on the lecturer.

Remarks
The course cannot be chosen by students who: have followed ST503 Statistik for Biologists.

Course enrollment
See deadline of enrolment.

Tuition fees for single courses
See fees for single courses.