| Module name | Biostatistics |
| Module level, if applicable | Bachelor of Veterinary Science |
| Code, if applicable | 219O0113 |
| Semester(s) in which the module is taught | Semester III |
| Person responsible for the module | Dr. drh. Dwi Kesuma Sari, APVet. |
| Lecturers | 1. Dr. drh. Dwi Kesuma Sari, APVet. 2. Prof. Dr. Ir. Lellah Rahim, M.Sc, IPU., ASEAN Eng. 3. Abdul Wahid Jamaluddin, S.Farm., M.Si., Apt. 4. drh. Rian Hari Suharto, M.Sc. |
| Language | Indonesian language |
| Relation to curriculum | Course description: This course covers the scope and role of statistics in veterinary medicine, including techniques for data collection, presentation, analysis, and interpretation, as well as the design of experiments using completely randomized, randomized block, and Latin square designs. Relation to curriculum: This course provides students with fundamental analytical skills essential for interpreting research findings and designing experiments throughout their veterinary education and practice. |
| Type of teaching and contact hours | Face-to-face class activities (2×50 minutes per week) – Lectures – Case-based learning – Small group discussion – Problem-based learning |
| Workload | Students are required to complete a minimum of 90.67 hours in one semester, which consist of: 1. Face-to-face class activities (26.67 hours) 2. Structured assignments (32 hours) 3. Independent study (32 hours) |
| Credit points | 2 credit points (equivalent to 3.02 ECTS) |
| Requirements according to the examination regulations | Students must attend a minimum of 80% of classes and submit all assignments before the final exam. |
| Recommended prerequisites | – |
| Module objectives or intended learning outcomes | After completing this course, students should be able to (1) explain the scope and role of statistics in veterinary medicine, including techniques for data collection, presentation, analysis, and interpretation, as well as the design of experiments using completely randomized, randomized block, and Latin square designs; and (2) interpret research data using principles of statistics. |
| Contents | 1. Scope and types of statistics, variables, and measurement scale 2. Statistics in veterinary medicine 3. Data presentation 4. Parameter and statistic 5. Probability distribution 6. Sampling technique 7. Parameter estimation 8. Hypothesis testing 9. Analysis of variance 10. Regression and correlation 11. Design of experiments: completely randomized design, randomized block design, and Latin square design |
| Forms of assessment | 1. Assignments and projects 2. Theory examination |
| Study and examination requirements and forms of examination | Study and examination requirements: 1. Students must arrive 10 minutes before the class starts and 15 minutes before the examination starts. 2. Students must switch off all electronic devices during the offline classes. 3. Students must switch on the video camera during the online classes. 4. Students must inform the lecturer if they will not attend class due to sickness or other reasons. 5. Students must submit all class assignments before the deadline. 6. Students must attend the exam to receive a final grade. |
| Media employed | Videos and slide presentations |
| Reading list | 1. Rosner, B. 2015. Fundamentals of biostatistics. Cengage learning. 2. Pagano, M., Gauvreau, K., & Mattie, H. 2022. Principles of biostatistics. CRC Press. 3. Sokal, R.R. and Rohlf, F.J. 1987. Biostatistics. Francise & Co, New York 4. Gerstman, B.B. 2014. Basic biostatistics. Jones & Bartlett Learning, LLC. 5. Kaps, M., & Lamberson, W. R. (Eds.). 2017. Biostatistics for animal science. Cabi. |