Time Schedule:
Georg Seelig
E E 400
Seattle Campus
Contemporary topics at the advanced undergraduate elective level. Faculty presents advanced elective topics not included in the established curriculum.
Class description
Mathematical modeling of transcription, translation, regulation and metabolism in cell; computer aided design methods for synthetic biology; implementation of information processing, Boolean logic and feedback control laws with genetic regulatory networks; modularity, impedance matching and isolation in biochemical circuits; parameter estimation methods. Offered jointly with BIOEN 423/CSE 4. Prerequisites: Math 307 or CSE 321; Math 308.
Student learning goals
1. Understand the challenges and applications of synthetic biology.
2. Understand the basic cellular processes including transcription, translation, regulation, metabolism, and information processing.
3. Build mathematical models of biochemical systems inside cells using Boolean logic, finite state machines, ordinary differential equations and/or stochastic processes.
4. Understand biochemical processes in terms of stability, robustness, parameter sensitivity, modularity, and evolvability.
5. Estimate model parameters from data.
6. Use Matlab or similar software to model, design and simulate systems.
General method of instruction
The class meets for three lectures a week (MWF). There is weekly homework due; Grading is based on homework, one midterm exam, and a final exam.
Recommended preparation
1. Differential equations 2. Linear Algebra 3. Familiarity with the use of Matlab or other mathematical software. NOTE: No biochemistry background is required.
Class assignments and grading
