Many fields including but not limited to computer science, bioinformatics, mathematics/statistics, and physics have developed computational tools that can allow students and faculty alike to develop a deeper understanding of the subject through analyzing real-world data, or even simulating potential experimental setups. The fact that a number of these computational resources and corresponding datasets have become publicly available, coupled with academic institutions’ access to additional, commercially available computer software, yields an unparalleled opportunity for students to apply these computational tools to course material. Through this workshop, we will discuss potential course structures that can allow students to practice using these software tools, as well as how a teaching assistant/instructor can help overcome barriers to students reliably accessing and using these resources.
All graduate students are welcome. This event grows out of concerns in the Biostatistics department and so may be most useful to students in related fields.Counts toward the CTL Teaching Certificate.