Dr. Ian Bruce
Room ITB-A213, Ext. 26984
ibruce@mail.ece.mcmaster.ca
Office Hours: 1:30–3:00pm on Mondays & Tuesdays
Zahra Hosseini
hosseiz@mcmaster.ca
Room ETB 301-303AElham Khosrowshahli
khosroen@mcmaster.ca
Room ITB-234, Ext. 27896
EE3BB3_2011_Fall_outline.pdf
The required text is R. Plonsey and R. C. Barr , "Bioelectricity: A Quantitative Approach," 3rd Edition, Springer, 2007.
Electronic copies (PDF files for each chapter) are free to download from the McMaster Library (available only for computers on the McMaster campus or logged in to the LibAccess system).
Secondary references:
- D. Johnston and S. M.-S. Wu, "Foundations of cellular neurophysiology," MIT Press, 1994.
- A. C. Guyton and J. E. Hall, "Textbook of Medical Physiology," 10th Edition, W. B. Saunders, 2001. (12th Edition now available.)
- C. Koch, "Biophysics of computation: information processing in single neurons," Oxford University Press, 1998.
- P. L. Nunez and R. Srinivasan, "Electric fields of the brain: the neurophysics of EEG," 2nd Edition, Oxford University Press, 2005.
- B. Hille, "Ion Channels of Excitable Membranes," 3rd Edition, Sinauer Associates, 2001
Previous years' homework assignments, quizzes and exams (problems and solutions).
Lab Assignment (10% ); Homework Assignments (3 × 10% = 30%); Midterm quizzes (2 × 15% = 30%); Final exam (30%)
There will be ≤ 36 one-hour lectures (3 per week) at:
11:30–12:20am on Tuesdays, Thursdays and Fridays in T13-105, and
≤ 12 tutorials (1 per week) at:
10:30am–11:20am on Thursdays in T13-105.
Current schedule for the term (as of Nov. 17; password protected).
Lecture notes in PDF format will be posted on this web site (password protected).
Lecture #1 (Thursday, September 8); Lecture #2 (Friday, September 9); Lecture #3 (Tuesday, September 13)
Lecture #4 (Thursday, September 15); Lecture #5 (Thursday, September 15); Tutorial #1 (Friday, September 16)
Lecture #6 (Tuesday, September 20); Tutorial #2 (Thursday, September 22); Lecture #7(Thursday, September 22)
Lecture #8 (Friday, September 23); Lecture #9 (Tuesday, September 27); Lecture #10 (Thursday, September 29)
Tutorial #3 (Thursday, September 29); Lecture #11 (Friday, September 30); Lecture #12 (Tuesday, October 4)
Lecture #13 (Thursday, October 6); Tutorial #4 (Thursday, October 6); Practice Computer Lab Session (Friday, October 7)
Lecture #14 (Tuesday, October 11); Lecture #15 (Thursday, October 13); No tutorial on Thursday, October 13
Graded Computer Lab Session (Friday, October 14); Lecture #16 (Tuesday, October 18)
Lecture #17 (Thursday, October 20); Lecture #18 (Thursday, October 20); Tutorial #5 (Friday, October 21)
Lecture #19 (Tuesday, October 25); Lecture #20 (Thursday, October 27); Tutorial #6 (Thursday, October 27)
Lecture #21 (Friday, October 28); Lecture #22 (Tuesday, November 1); Lecture #23 (Thursday, November 3)
Tutorial #7 (Thursday, November 3); Lecture #24 (Friday, November 4); Lecture #25 (Tuesday, November 8)
Biopotential Measurement Demo (Thursday, November 10); Lecture #26 (Thursday, November 10); Lecture #27 (Friday, November 11)
Lecture #28 (Tuesday, November 15); Lecture #29 (Thursday, November 17); Tutorial #8 (Thursday, November 17)
Lecture #30 (Friday, November 18); Lecture #31 (Tuesday, November 22); Lecture #32 (Thursday, November 24)
Tutorial #9 (Thursday, November 24); Lecture #33 (Friday, November 25); Lecture #34 (Tuesday, November 29)
Lecture #35 (Thursday, December 1); Tutorial #10 (Thursday, December 1); Lecture #36 (Friday, December 2)
There will be 3 homework assignments. Students must complete the homework problems individually and submit their homework by the posted deadline.
Assignment #1: Problems; Solutions
Assignment #2: Problems; Solutions
Assignment #3: Problems; Solutions
There will be 1 lab assignment taking place over 2 regular class times.
The first class will be a practice session for students to familiarize themeselves with the neural simulator.
You can get some experience with the Hodgkin-Huxley model simulator that will be used in the lab by downloading it from http://www-2.cs.cmu.edu/~dst/HHsim/.
The second class will be a lab session where a worksheet will be completed to determine the grade for the lab assignment. The lab worksheet will be handed out at the beginning of the class and returned at the end.
Graded Session Solutions: EE3BB3_HHlab_graded_solns.pdf
Version of HHsim used in Graded Session: hhsim_graded.zip
Date: Wednesday, December 7
Time: 9:00am
Duration: 3hrs
Place: IWC-3A draft of the equations to be supplied with the exam paper can be found here: EE3BB3_finalexam_supplied.pdf.
Details of the exam format and content can be found here: EE3BB3_finalexam_details.pdf.
McMaster Standard Calculator (Casio fx991) only
The instructor reserves the right to choose the format (i.e., written or oral) of any deferred midterm or final exam in this course.
Please note that announcements concerning any type of graded material may be in any format (e.g., announcements may be made only in class, via the course e-mailing list, or on the course web site). Students are responsible for completing the graded material regardless of whether they received the announcement or not.
"The Faculty of Engineering is concerned with ensuring an environment that is free of all adverse discrimination. If there is a problem, that cannot be resolved by discussion among the persons concerned, individuals are reminded they should contact the Departmental Chair, the Sexual Harassment Officer or the Human Rights Consultant, as soon as possible."
"Academic dishonesty consists of misrepresentation by deception or by other fraudulent means and can result in serious consequences, e.g. the grade of zero on an assignment, loss of credit with a notation on the transcript (notation reads: 'Grade of F assigned for academic dishonesty'), and/or suspension or expulsion from the university.
It is your responsibility to understand what constitutes academic dishonesty. For information on the various kinds of academic dishonesty please refer to the Academic Integrity Policy, specifically Appendix 3, located at http://www.mcmaster.ca/policy/Students-AcademicStudies/AcademicIntegrity.pdf
The following illustrates only three forms of academic dishonesty:
1. Plagiarism, e.g. the submission of work that is not one's own or for which
other credit has been obtained.
2. Improper collaboration in group work.
3. Copying or using unauthorized aids in tests and examinations."
Last updated Tuesday, December 6, 2011