This course focuses on taxonomy, phenetics, phylogenetics and bioinformatics. It encompasses classification and identification of species and acquaints the students with the basic principles and methods of cladistic analysis. Fieldwork activities include sampling and collection of organisms of interest for taxonomic classification and identification. Laboratory activities include morphological and molecular characterization and the construction of cladograms with the use of applicable softwares.  A research output that covers taxonomy, phenetics, phylogenetic analysis and the use of bioinformatics is required.

This course focuses on taxonomy, phenetics, phylogenetics and bioinformatics. It encompasses classification and identification of species and acquaints the students with the basic principles and methods of cladistic analysis. Fieldwork activities include sampling and collection of organisms of interest for taxonomic classification and identification. Laboratory activities include morphological and molecular characterization and the construction of cladograms with the use of applicable softwares.  A research output that covers taxonomy, phenetics, phylogenetic analysis and the use of bioinformatics is required.

This course is designed to introduce advanced topics in computer networks. Algorithms and protocols at the application, transport, network and medium access layers as well as experimentation, simulation and modeling techniques will be covered. The course explores emerging research challenges in the field of information and content centric networks, last mile network access from wireless and mobile devices and new networking paradigms such as the Internet of Things.