ST501: Science Statistics (5 ECTS)

STADS: 25000101

Level
Bachelor course

Teaching period
The course is offered in the spring semester.
4th quarter.

Teacher responsible
Email: rohde@imada.sdu.dk

Timetable
Group Type Day Time Classroom Weeks Comment
Common I Monday 10-12 U55 15,17-21
Common I Tuesday 08-10 U55 16
Common I Wednesday 08-10 U45 16
Common I Wednesday 08-10 U55 17-21
M1 TL Wednesday 16-18 Terminalrum 16
M1 TE Wednesday 14-16 U24 17,19, 21
M1 TE Wednesday 16-18 U49E 21
M1 TE Thursday 10-12 U49E 16-20
M1 TL Thursday 08-10 Terminalrum 18
S1 TE Monday 12-14 U49B 17,19,21
S1 TL Monday 12-14 Terminalrum 18
S1 TL Thursday 12-14 Terminalrum 16
S1 TE Thursday 08-10 U49B 16-20
S1 TE Friday 08-10 U49C 21
S3 TE Tuesday 08-10 U49B 17,19,21
S3 TL Tuesday 08-10 Terminalrum 18
S3 TL Thursday 08-10 Terminalrum 16
S3 TE Thursday 14-16 U49B 16-20
S3 TE Friday 12-14 U49C 21
S5 TE Tuesday 14-16 U49B 17,19,21
S5 TL Tuesday 14-16 Terminalrum 18
S5 TE Tuesday 08-10 U49C 19
S5 TL Friday 08-10 Terminalrum 16
S5 TE Friday 14-16 U49B 16-18,20-21
S8 TL Monday 14-16 Terminalrum 17,19
S8 TE Monday 08-10 U49B 17,19,21
S8 TE Thursday 10-12 U28 16
S8 TE Thursday 14-16 U49C 19
S8 TE Friday 10-12 U49B 16-17,20-21
S10 TL Tuesday 10-12 Terminalrum 16,18
S10 TE Tuesday 10-12 U49B 17,19,21
S10 TE Thursday 12-14 U49B 16-20
S10 TE Friday 10-12 U49C 21
S12 TE Monday 14-16 U49B 19
S12 TL Wednesday 14-16 Terminalrum 16,18
S12 TE Wednesday 14-16 U49B 17,19,21
S12 TE Friday 08-10 U49B 16-18,20-21
S15 TE Tuesday 16-18 U49B 19
S15 TL Wednesday 12-14 Terminalrum 16,18
S15 TE Wednesday 12-14 U49B 17,19,21
S15 TE Friday 12-14 U49B 16-18,20-21
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Comment:
Ubegrænset deltagerantal. 4. kvartal.

Prerequisites:
None

Academic preconditions:
The contents of the courses Calculus I and II must be known.

Course introduction
To introduce elementary methods from probability theory and statistics with a view to analysing experimental data. The participants will learn to use a statistical computer package for data analysis.

Expected learning outcome
At course end the student will be able to:

• identify problems that can be solved by means of statistics and probability;
• plan the collection of data and calculating sample sizes;
• describe data using graphical and numerical methods from descriptive data analysis;
• perform simple probability calculations using distributions and random variables;
• know standard probability models and identify their areas of application;
• model experimental data using simple statistical models;
• check the correctness of a statistical model;
• estimate parameters in a simple statistical model, and calculating confidence intervals for the parameters;
• test simple statistical hypotheses and interpret the results;
• analyze data using simple regression methods;
• apply a statistical computer package for carrying out simple statistical calculations;
• evaluate critically the relevance of the methods applied and the ensuing inferences;
• formulate statistical results in non-technical terms.

Subject overview
Descriptive data analysis, experimental design, probability, random variables, mean, variance, co-variance, standard probability models, parameter estimation, confidence intervals, hypothesis tests, regression, comparison of groups.

Literature
    Meddeles ved kursets start.


Syllabus
See syllabus.

Website
This course uses e-learn (blackboard).

Prerequisites for participating in the exam
None

Assessment and marking:
(a) A 3 hours written exam with all aids (books, notes and calculator). Marks according to the Danish 7-scale.
(b) Mandatory assessments (internal evaluation by lecturer: passed/not passed), which must be passed in order for one to participate in the exam. The assessments may be submitted by groups of max. 2 persons.

Reexamination after 4th quarter in August.

Expected working hours
The teaching method is based on three phase model.

Forelæsninger (28 timer), eksaminatorier (18 timer) og laboratorieøvelser (4 timer).
Educational activities

Language
This course is taught in Danish.

Course enrollment
See deadline of enrolment.

Tuition fees for single courses
See fees for single courses.