TA is Shane Lee.

This Nanotechnology to Robotics course seeks to introduce fundamental introductory concepts in nanotechnology and robotics for the college undergraduate. The instructor has prepared course lecture slides, and the course requires access to a computer to utilize math software (Matlab) for learning, solving problem sets and exam problems. We also have hands-on Arduino kit project to work through in the course. Through the group project, exam and course lecture, the goal is to expand our view of robotics and find synergies with fundamental science and engineering. These basics are to be applied to technologies such as solar and fuel cells, batteries and self-driving vehicles.

For the science and non-science major alike, this course introduces fundamental concepts in robotics, nanotechnology and quantum mechanics. We cover vectors, matrices, pendulums, solving differential equations and applying these ideas to understand solar/fuel cells, batteries, and self-driving vehicles.

1. Modern physics textbooks Arthur Beiser, Kok Wai Cheah. Concepts of Modern Physics. Intl. editions 2019, McGraw-Hill; 
2. Introduction to Robotics: Mechanics and Control, John J. Craig, Addison-Wesley Publishing Company, 3rd Edition, 2003
3. Charles P Poole Jr. and Frank J. Owens. “Introduction to Nanotechnology, Wiley 2003.
4. Isaac Asimov. “I, Robot” 2008.

The course grading is based on working through 6 biweekly problem sets (30%), an exam tentatively in week 8 (30%), completing a group project/presentation (30%), and participating in lecture (10%). The problem sets and exam are graded on a scale of maximum 100 points, while the group work is graded based on rubrics categories (Developing, Emerging, Meets Expectations, Exceeds Expectations).