Research in robotics, vision and graphics requires a good grasp of continuous mathematics and its application to the robotics field. Learn key approximation issues associated with using floating-point numbers (as opposed to integers) in numerical algorithms. Explore issues associated with designing, implementing and using numerical algorithms to solve equations in fields that manipulate models of the real world.
- Doug James Professor, Computer Science
- Linear algebra
- Conjugate gradient method
- Ordinary and partial differential equations
- Vector and tensor calculus
Note on Course Availability
The course schedule is displayed for planning purposes – courses can be modified, changed, or cancelled. Course availability will be considered finalized on the first day of open enrollment. For quarterly enrollment dates, please refer to our graduate certificate homepage.
MATH51 or equivalents, and