INSTRUCTIONS - PROFESSORS: Please print and review this form. Complete or correct the sections, as applicable, from "Supervisor's Name" to "Ethics, safety, and training". Please sign and date near the bottom ("Supervisor's signature").
INSTRUCTIONS - STUDENTS: You may receive this form by email, or you may download it after it has been posted here. Either way, print and review this form. Complete or correct the sections, from "Student's Name" to "Student's Level", and sign ("Student signature"). Ask your supervisor to sign her/his section near the bottom. Take it to the department* corresponding to the course number in Section A; this may or may not be your own department. (* EXCEPTIONS: For NSCI 396 and COGS 396, please bring it to the Interdisciplinary Programs Adviser in Dawson Hall.) Do not register for a '396' course on Minerva until you receive departmental permission. Have a discussion with your supervisor about time/work expectations, keeping in mind that this is a 3-credit course (roughly, 10 hours per week for 12 weeks). Remember that a '396' course is an elective.
INSTRUCTIONS - DEPARTMENTS: After the unit chair/director/designate approves (or not) this project, please notify student. If approved, please give student permission to register on Minerva, and send a copy of this form (with signatures) to the Office for Undergraduate Research in Science (either fax, or internal mail to Dawson Hall 408-A, or PDF scan + email).
QUESTIONS OR FEEDBACK? Contact the Office for Undergraduate Research in Science.
Supervisor's Name: Joseph Vybihal
Supervisor's Email: jvybihal [at] cs [dot] mcgill [dot] ca
Supervisor's Phone: 398-7071
Supervisor's Website: www.cs.mcgill.ca/~jvybihal
Supervisor's department: Computer Science
Course number: COMP 396 (Computer Science)
Term: Summer 2013
Project start date: Wednesday, May 1, 2013
Project end date: Thursday, August 8, 2013
Project title: Prometheus AI Database
Project description (50-100 words suggested): This project uses the Prometheus architecture to expand the functionality of the AI brain by implementing a database component, adding a large amount of information into the database, and then testing this system for it's efficiency and correctness.
Prerequisite: 1 term completed at McGill + CGPA of 3.0 or higher; or permission of instructor.
Grading scheme (The final report must be worth at least 50% of final grade): The actual software 50% and the final report 50%.
Project status: This project is taken.
How students can apply: Bring a printed copy of this application form and your advising transcript to me during office hours.
Ethics, safety, and training: Supervisors are responsible for the ethics and safety compliance of undergraduate students. This project involves NEITHER animal subjects, nor human subjects, nor biohazardous substances, nor radioactive materials, nor handling chemicals, nor using lasers).