Tropical Biodiversity and Bioprospecting
Course Code
BI5101
Number of Credits
3
Semester
Course Type
Related Courses
| No | Code | Course | Relation |
|---|---|---|---|
| 1 | BI5211 | Tropical Biodiversity | Equivalent |
Study Material
| Study Material | Depth |
|---|---|
| The concept of biodiversity: Biodiversity; Ecosystem, species and genetic diversity; Biodiversity in the tropics; Process of biodiversity formation; Factors contributing to high biodiversity in the tropics; and the concept of species. Express | Expert |
| Speciation, biogeophraphy and evolution: speciation; biogeography: visualization and analysis of biogeographic patterns, geography and diversification; biogeography and biological richness; evolution: plate tectonics, dispersal, island speciation, global weather, adaptive radiation | Expert |
| Biodiversity in the tropics | Expert |
| Biodiversity measurement and valuation methods: Species richness; Species diversity indices; biodiversity valuation methods. | Expert |
| Benefits of biodiversity environmental services for life (supporting, provisioning, regulating, and culture); plant utilization; Threats to biodiversity | Express |
| Threats to biodiversity | Expert |
| Biodiversity valuation | Expert |
| Conservation of biodiversity | Expert |
| Bioprospecting: bioprospection and biodiversity; bioprospect and human life; exploration of plant species with bioprospect value (food, fiber, energy, medicine, cosmetics and essentials). | Express |
| Methods in plant bioprospection: ethnobotanical study; collection and preparation, extraction and bioprocessing methods | Expert |
| Implications of bioprospection (ethical, legal, and social) | Expert |
| Sustainable bioprospecting | Expert |
Graduate Learning Outcomes (GLO) carried by the course
| CPMK Code | Course Learning Outcomes Elements (CLO) |
|---|---|
| CPMK 1 | Understanding of Theoretical Concepts: Students can explain biological concepts and theories related to their focus of study with detail and accuracy. |
| CPMK 2 | Data Analysis Skills: Students have the ability to collect, process, and analyze data using statistical and computational methods relevant to the field of biology. |
| CPMK 3 | Digital Literacy: Students can use digital tools and online resources to effectively access, manage and present biological information. |
| CPMK 4 | Data Driven Decision Making: Students are able to make decisions whose information is supported by solid scientific data analysis. |
| CPMK 5 | Academic Integrity and scientific practice: Able to demonstrate high standards of integrity in all aspects of research, including honesty in data collection and reporting. |
| CPMK 6 | Fairness in Teamwork: Able to demonstrate a sincere, fair, thoughtful and inclusive attitude in leading or when collaborating in teams. |
| CPMK 7 | Social Impact Reporting: Able to organize and communicate how their research contributes to the common good including its impact on sustainability and the environment. |
Learning Method
- Classroom/field learning process; Independent/group structured assignments; Group independent activities
Learning Modality
- Absorption power: Visual; Auditorial; Kinesthetic Implementation power: Synchronous and Asynchronous Independent: searching for information, identifying important information, taking notes, organizing, elaborating, summarizing, and monitoring understanding
Assessment Methods
- Standard letter grades and index grades according to ITB academic regulations (System A, AB, B, BC, C, D, E). Performed in an integrated manner to assess: - Knowledge aspects through written tests in the form of quizzes, midterms, final exams, and independent/group assignments. - Skill aspect through presentation (rubric) - Attitude aspect through activeness, honesty/plagiarism, and creativity.