This module will provide students with an understanding of the structural organization and physiology of plants including high plant taxonomy, morphology and physiology. Plant diversity can be defined as the variability of plant organisms, of terrestrial and aquatic ecosystems, and the variability of their habitats.
- Teacher: NKURIKIYIMANA Fabien
The course introduces students to explain the role of the cellular architecture in the basic function of living organisms. The content includes cell evolution, cell organization and functions, cell division and Histology.
- Teacher: NKURIKIYIMANA Fabien
The module aims at introducing students to the chemical and three-dimensional structures of biological molecules; to their occurrence in prokaryotic and eukaryotic cells and to their hierarchy organization.
They students should understand general knowledge on the structure of carbohydrates; on the structure of amino acids and peptides/proteins; on the structure of lipids; and on the structure of nucleotides-nucleic acids. They should understand their reactions; their importance in living systems and their utility in our everyday life.
The students should at the end understand general knowledge on anabolism process (metabolism and catabolism); on composition of cells and roles of its different parts. The module covers also the occurrence of vitamins and other natural compounds through enzymes/cofactors. The Students learn their metabolism and roles.
Through the energetic biochemistry, they learn the Krebs cycle; the glycolysis; the glygenolysis and the catabolism of different other compounds. This part of module will be ended by laboratory practical in which isolation, characterization of these compounds will be done.
- Teacher: FAUSTIN KIGABO
- Teacher: Theophile Murwanashyaka
This module aims to introduce to methods and concepts of statistical analysis and sampling, with special attention to those occurring in biological sciences. Topics include descriptive measures, probability, and distributions, estimation, tests of hypotheses, types of error, significance, confidence levels, sample size, and power. In addition, students will be exposed to analyze biological data using computer-based programming and software, as appropriate.
