Computational Biology and Cyberlearning are changing the nature of research and learning throughout biological, physical and mathematical science curricula.
Our participants will explore the use of scientific data repositories; investigate online analysis and visualization tools; and utilize open source resources for scientific collaboration. We will focus on developing teaching units that apply quantitative biological problem solving strategies to real problems in medicine, epidemiology, forensics, agriculture, and conservation.
A team of biologists and computational scientists at the University of Tennessee (UT), in partnership with colleagues at Oak Ridge National Laboratory (ORNL), have initiated a five-year Integrated Graduate Education and Research Training (IGERT) Program, SCALE-IT (Scalable Computing and Leading Edge Innovative Technologies) for Biology.
Our goal is to recruit and train future biologists in a new way of approaching biology—a seamless combination of computing expertise and research using emerging tools that can attack the most challenging problems in biology spanning sub-cellular to organismal scales.
The NIMBioS computational biology curriculum development tutorial will focus on helping graduate students and faculty develop curriculum resources and teaching approaches that reflect modern biological problem solving as well as engage students with the use of emerging computational tools and data.
The BioQUEST Curriculum Consortium actively supports educators interested in the reform of undergraduate biology and engages in the collaborative development of curricula. We encourage the use of simulations, databases, and tools to construct learning environments where students are able to engage in activities like those of practicing scientists.