This course involves practicums on data acquisition and control using microprocessors for the first 5 weeks; and then students spend the next 5 weeks in teams of ~2 developing and building a project of their choice.

The theme might be described as "just go for it", with the only requirement being that the project detect something in the real world, process the information, and control something in the real world. About half the projects use embedded PIC microprocessors; some use PC-scale computers, some are not computer-based.

C. Fred Driscoll (Prof), Tram Dang (TA), David Eldon (TA), Allen White (Electronics Engineer)

1. Scott Gustafson and Thomas Tran -- The AutoPark: Can sensors automate parallel parking?

2. Collin Harrison -- Beer on Track: Fill 'em up and deliver ASAP

3. Adam Jones and Lauren Krantz -- Motion Tracking Camera, using passive infra-red sensors

4. Adityer Kher, Mike Simmonds and Rami Vanguri -- Touch-Screen Mouse, using active photo-detection *** Earl Dolnick AWARD ***

5. Ben Ou -- Star Tracker: Motorized tilting with the stars

6. Clarissa Gillman and Dallas Smith -- The Hostile Pet Tank: Proximity sensing to keep Master in range

7. George Megally and Jeff Koch -- Musical LEDs: Just what does music look like?

8. Brennan Pursley and Alex Frenzel -- A Mazing Platform Game, full of timed joy-stick challenges

9. Travis Hornung, Joseph McClenaghan and Alex Noble -- Magnetic Launcher: Putting capacitive power into metal projectiles

10. Edmund Dale and Lindell Abril -- Knight Rider, A light-tracking car

11. Gregg Mills and Joshua Widen -- *muludneP* ...because it's an inverted pendulum, on a track *** Earl Dolnick AWARD ***

12. Mark Hamilton -- Keypad Thingie interfaces with PIC

13. Matthew Costa and Lawrence Leung -- Robo Hand: Five fingers under Frankenstein control

14. Brian Baumgartner and Ben Morimoto -- Wall E: Approach voices, deliver insults to men, pick-ups to women

16. Jeff Compton -- The Gravitometer: Times the Fall, calculates and displays "G"