Course Biostatistics and Biocomputers

Course Description

This course discusses the basics of biostatistics in practice and computer-based research, including data format and visualization, descriptive statistics including central tendency (mean, median, and mode), and spread (standard deviation, variation, IQR), normal distribution; hypothesis testing; analysis of variance, correlation-regression analysis, analysis of covariance, and nonparametric statistics. Lectures are delivered using a student-centered approach in practical activities and assignments, while practical work is carried out using computer programs. These two learning activities are carried out to facilitate students to work honestly and independently.

Program Objectives (PO)

Understand the objective of statistics, type of data and scale data measurement in biology and educational research.
Understand the utilization of computers for statistics

Able to design research experiments and analyze collected data.
Able to apply transferable skills to develop eco-commitment in an effort to realize the character of Faith, Smart, Independent, Honest, Caring and Tough.
Able to draw conclusions based on statistical data analysis .

Aktifitas Pembelajaran

Pertemuan 1
Understand the meaning of statistics and its benefits.
Date 8 Februari 2024
Pertemuan 2
Being familiar with statistical programs such as Ms.Excel, SPSS, and R Studio.
Date 15 Februari 2024
Pertemuan 3
Understand the basic concept of data visualization.
Date 22 Februari 2024
Pertemuan 4
1. Understand the concept of descriptive statistics: Measurement of central tendency, measurement of spread, and frequency table.
Date 29 Februari 2024
Pertemuan 5
Understand the concept of normal distribution, normality test, and student’s t-test.
Date 7 Maret 2024
Pertemuan 6
Understand the concept of simple linear regression.
Date 14 Maret 2024
Pertemuan 7
Understand the concept of multiple regression.
Date 21 Maret 2024
Pertemuan 8
Midterm Exam
Date 28 Maret 2024
Pertemuan 9
Understand the concept of analysis of covariance (ANCOVA).
Date 4 April 2024
Pertemuan 10
Understand the concept of single-factor experimental design: Completely Randomized Design (CRD)
Date 11 April 2024
Pertemuan 11
Understand the concept of single-factor experimental design: Randomized Complete Block Design (RCBD) and Latin Square Design (LSD).
Date 18 April 2024
Pertemuan 12
Understand the multiple-factor / factorial experimental design concept: Strip-plot and Split-plot design.
Date 25 April 2024
Pertemuan 13
Understand the concept of non-parametric tests in statistics.
Date 2 Mei 2024
Pertemuan 14
Understand the concept of chi-squared test.
Date 9 Mei 2024
Pertemuan 15
Understand the concept of the Kruskal-Wallis test and the Friedman test.
Date 16 Mei 2024
Pertemuan 16
Date 23 Mei 2024