Course Biostatistics and Biocomputers

This course examines the basics of biostatistics in practice and computer-based research, including: data form, data organization, central tendency and data distribution including average, standard deviation, variation; normal distribution; hypothesis testing, analysis of variance, experimental design of one factor (RAL, RAK and Other Squares) and two or more factors (Split Plot design and Strip Plot Design), correlation-regression analysis, covariance analysis, and nonparametric statistics. Lectures are delivered using a student-centered approach in practical activities and assignments; while the practicum is carried out using a computer program. These two learning activities are carried out to facilitate students to work honestly and independently.

Program Objectives (PO)