TILS661 Sampling Methods (5 cr)
Study level:
Advanced studies
Grading scale:
0-5
Language:
Finnish
Responsible organisation:
Department of Mathematics and Statistics
Curriculum periods:
2024-2025, 2025-2026, 2026-2027, 2027-2028
Description
Sampling methods are needed in the implementation of surveys. The course starts with classical sampling designs, such as simple random sampling, systematic sampling, stratified sampling, and cluster sampling. Later, we will explore the challenges of modern surveys and discuss, among other things, data fusion (combining datasets), small area estimation, spatial sampling, and the design of questionnaires.
Learning outcomes
A student
- can choose a suitable sampling method and implement the sampling,
- can derive sampling weights for different sampling designs,
- can estimate the variance of estimators in different sampling designs,
- can combine other datasets with survey data,
- can implement small area estimation,
- knows the basics of designing questionnaires.
Additional information
The course is held every second year or less frequently.
Description of prerequisites
Opintojaksojen Data ja mittaaminen ja Datasta malliksi tai Tilastomenetelmien peruskurssin tai Datan esittäminen ja analysointi -opintojakson tiedot.
Completion methods
Method 1
Evaluation criteria:
Arviointiin vaikuttavat menestys kurssitentissä ja aktiivisuus harjoitustehtävien tms. tekemisessä.
Select all marked parts
Method 2
Evaluation criteria:
Kurssin lopputentissä hyväksyttyyn suoritukseen vaaditaan yleensä vähintään puolet tentin maksimipisteistä.
Select all marked parts
Parts of the completion methods
x
Participation in teaching (5 cr)
Type:
Participation in teaching
Grading scale:
0-5
Language:
Finnish
Teaching
10/28–12/20/2024 Lectures
12/19–12/19/2024 Exam
1/15–1/15/2025 Exam
x
Exam (5 cr)
Type:
Exam
Grading scale:
0-5
Language:
Finnish