English

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: bentj@stat.sdu.dk

Timetable

Group	Type	Day	Time	Classroom	Weeks
Common	I	Monday	12-14	U45	14, 16-21
Common	I	Wednesday	08-10	U45	15-22
M1	TE	Thursday	08-10	U103	15-20
M1	TL	Friday	08-11	U10B	15
M1	TL	Friday	08-10	U10B	17, 19
S1	TL	Monday	09-12	U10B	16
S1	TL	Monday	09-11	U10B	17, 19
S1	TE	Friday	12-14	U49B	15-17, 19-21
S2	TL	Thursday	11-14	U10B	15
S2	TL	Thursday	11-13	U10B	17, 19
S2	TE	Friday	10-12	U49B	15-17, 19-21
S3	TE	Wednesday	12-14	U49B	16-21
S3	TL	Friday	11-14	U10B	15
S3	TL	Friday	11-13	U10B	17, 19
S4	TE	Wednesday	10-12	U49B	16-21
S4	TL	Thursday	08-11	U10B	15
S4	TL	Thursday	08-10	U10B	17, 19
S5	TL	Wednesday	13-16	U10B	15
S5	TL	Wednesday	13-15	U10B	17, 19
S5	TE	Thursday	14-16	U49B	15-19, 21
S6	TL	Wednesday	10-13	U10B	15
S6	TL	Wednesday	10-12	U10B	17, 19
S6	TE	Thursday	12-14	U49B	15-19, 21
S12	TE	Tuesday	08-10	U27a	16-21
S12	TL	Wednesday	14-17	U10B	16
S12	TL	Thursday	16-18	U10B	17
S12	TL	Thursday	14-16	U10B	19
S13	TL	Monday	14-17	U10B	16
S13	TL	Monday	14-16	U10B	17, 19
S13	TE	Friday	08-10	U49B	15-17, 19-21
S14	TE	Tuesday	08-10	U27a	16-21
S14	TL	Wednesday	14-17	U10B	16
S14	TL	Thursday	16-18	U10B	17
S14	TL	Thursday	14-16	U10B	19

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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.

Acquired skills:
The participants will acquire understanding of elementary probability theory and statistical methods, and their applications in experimental data. They will know how to apply this knowledge in relevant situations for:
• using graphical methods for descriptive data analysis;
• describing data using summary statistics, such as mean, variance and co-variance;
• modelling experimental data using statistical models;
• estimating parameters in statistical models, and constructing confidence intervals for the parameters;
• testing simple statistical hypotheses;
• analysing data using regressions- and calibration models;
• designing experiments;
• interpreting statistical data analyses and expressing the results in writing.

Expected learning outcome

Subject overview
Descriptive data analysis, probability models, random variables, mean, variance, co-variance, statistical models, parameter estimation, confidence intervals, regression, calibration, t-test, z-test, experimental design.

Literature

Petruccelli, Nandram & Chen: Applied Statistics for Engineers and Scientists, 1999, Prentice Hall Press.

Syllabus
See syllabus.

Website
This course uses e-learn (blackboard).

Prerequisites for participating in the exam
None

Assessment and marking:
3 hours written exam with all aids (books, notes and calculator). Grades: Passed/not passed and internal censorship. Mandatory assessments (internal censorship by teacher: pass/fail), which the participants must pass in order to sit the exam. The assessments may be submitted by groups of max. 2 persons.

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

Forelæsninger (28 timer), eksaminatorier (12 timer) og laboratorieøvelser (7 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.