Matematika Biologi

 

Module title SBEP1001 Mathematics in Biology
Semester(s) 1st Semester
Person responsible Dr. Elizar, S.Pd., M.Ed. (MT)
Language Indonesian, English
Relation to curriculum Compulsory module in Mathematics. This course equips students with fundamental mathematical skills applied to biological problems. It supports analytical thinking, problem-solving, and interdisciplinary understanding essential for biology education and research.
Teaching methods Lecture
Workload 2 x 45 hours per semester, comprising:
✔ 100 minutes lecture and discussion per week
✔ 120 minutes structured tasks per week
✔ 120 minutes independent learning per week
Credit points 2 SKS = 3.34 ECTS (90 hours)
Prerequisites –
Module objectives ✔ Apply real numbers, linear equations, and matrices in biological problem solving
✔ Explain quadratic equations, inequalities, and sequences in biology contexts
✔ Analyze exponential and logarithmic functions in biological systems
✔ Apply sigma notation, probability, and derivatives in biological analysis
Content This course equips students with mathematical concepts relevant to biology.

Main topics:
➢ Real number systems and percentages in cell populations
➢ Linear equations and biological graphs
➢ Quadratic equations in tolerance curves
➢ Inequalities in ecosystem limits
➢ Arithmetic and geometric sequences in reproduction
➢ Matrices in food chain energy modeling
➢ Exponential functions in bacterial growth
➢ Logarithmic functions in pH and data analysis
➢ Sigma notation for population data
➢ Probability in genetic variation
➢ Derivatives in population growth rates
Exams and assessment formats Assignments, quiz, and exam
Assessment Assignment: 35%
Quiz: 15%
Exam 1: 25%
Exam 2: 25%
Recommended Literature 1. Larson, R., & Hodgkins, A. V. (2012). College algebra. Cengage Learning.
2. Bodine, E. N., et al. (2014). Mathematics for the life sciences. Princeton University Press.
3. Yeargers, E. K., et al. (1996). Introduction to mathematical biology. Springer.
4. Lial, M. L., et al. (2010). Basic college mathematics. Pearson.
5. Strode, P., & Brokaw, A. (2015). Mathematics and statistics in biology. HHMI.
Date of Amendment August 2024