STAT410 Experimental Design and Analysis of Variance for Ph.D. Students

The course builds on STAT210 and expands with an advanced module. The course is conducted in two parts:

• Block Period (STAT210 part, 5 ECTS): Regular teaching, mandatory activities, and a written exam in August.

• Parallel Period (Extended part, 5 ECTS):

• Independent study with analysis and reporting of a practical data example, preferably using own data.

• Supervision service with up to 8 consultation hours.

• Additional syllabus literature and research articles for in-depth study.

• Introductory and mid-term gatherings (full-/half-day seminars).

• Final oral presentation as part of the portfolio assessment.

Knowledge

Upon completion of the course, the student will:

• Have advanced knowledge of experimental design, including factorial design, block design, and nested design.

• Understand statistical methods for analysis of variance (ANOVA) and model fitting at a high academic level.

• Be familiar with recent research methods in experimental design and variance analysis.

• Have insight into the application of experimental designs to real-world data from various fields.

Skills

Upon completion of the course, the student will be able to:

• Apply advanced experimental design methods to real experimental data and correctly interpret the results.

• Evaluate and improve experimental designs based on statistical assessments and analysis methods.

• Use statistical software for the analysis of experimental data.

• Present experimental analyses both in writing and orally in a clear and scientific manner.

General Competence

Upon completion of the course, the student will:

• Be able to critically assess the application of experimental design in scientific studies.

• Be able to communicate statistical results to both specialists and non-specialists.

• Have the ability to work independently with advanced experimental analysis and reporting.