Participants in this seminar (1) make significant progress on one or more of their current academic writing projects; (2) increase their understanding of the genres, protocols, and mechanisms of scientific writing and publishing; and (3) develop strategies and skills for getting professional writing done efficiently and well, in graduate school and beyond. Cr/F.

The biopharma industry begins with foundations in basic science and works through various stages to turn ideas into marketable therapies. The business, clinical, and regulatory steps that are required to bring a product to market are important to understand in order to maximize ones effectiveness in any department in a biopharma setting. This course draws upon field experts to help deliver the content and tackle important discussions about the processes involved in drug development.

Principles and technical skills fundamental to the culture of animal cells. Introduction to the techniques of sub-culturing, establishing primary cultures, karyotyping, cloning, growth curves, and cryopreservation. Techniques involving culturing mammalian cells in bioreactors will be introduced. Application of cell culture to contemporary research in biotechnology through independent projects. Special Fee.

In this course, students will gain an understanding of how best to conduct data analysis experiments utilizing data specific to biotechnology applications. Hands-on exercises involve using computer software programs such as Matlab and JMP. Data input/manipulation, descriptive and inferential statistics, hypothesis testing, curve fitting, and Matlab coding will be covered. Upon completion of the course, students should be able to conduct data analysis experiments within the context of biotech. No credit for students who have taken BIOT 897 "Top/Num & Statistical Analysis".