Systems Biology Short Course
Participation in the course will provide attendees with:
- a solid orientation and framework to this field of study
- a review of foundational concepts and terminology necessary to address individual educational deficiencies either in Biology or Mathematics/Computation that impedes understanding and communication
- a smooth transition for entry into rigorous academic/industry research programs by providing hands-on experience in:
- core wet bench protocols and skills
- computational modeling and analytical methods
- and experience in software utilization
- Foster teamwork and build collaborative interactions
- Provide exposure to the breadth of research opportunities in Systems Biology and available resources.
A schematic of the general course structure is shown below. Participants may choose to take only the two week Systems Biology Core Course consisting of four integrated module themes (CB1+CM1 and CB2+CM2), or precede it with an optional 1-week Introductory Prep Workshop in either Basic Biology (B) or Mathematical & Computational Biology (M).
Core Module themes and content are derived from existing UCI Systems Biology research collaborations. Lectures will present the background and research strategies on a specific problem (biological or mathematical or computational), and will allow systematic discussion of the relevant issues, the significance, and present state of understanding. Laboratory exercises will be designed so that participants can have a complementary hands-on experience in the technical aspects and issues of particular experimental protocols.
Laboratory sections will be comprised of Projects and Tutorials. The combination of module lectures combined with a topic specific pre-laboratory lecture will provide the supporting background information. Projects will consist of multiple step investigative experiments and an interpretive (analysis/modeling/simulation) element to be conducted by groups of participants (4 to 5 members) selected to intermingle computational scientists with biologists to encourage collaborations between the disciplines and help establish productive network interactions for long term collaborative endeavors beyond the course. The projects will have both biological/biochemical "wet" components and analysis/computational "dry" aspects that will engage both expertise halves.