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Term 2, 2013/14


Table of Contents

Announcements and Updates
Instructor
Lectures
Tutorial
Course Description
Grading Scheme
Academic Dishonesty
Policy Notes
Schedule

Announcements and Updates

Extra office hours (before the exam)

Min-Oo:
Thursday, April 10th: 16:00 to 18:30
Monday, April 14th: 16:00 to 18:30

Sasha:
Friday, April 11th: 11:30 - 12:30
Monday, April 14th: 11:30 - 12:30

Click  here  for your term marks (except for the last assignment). They are displayed in ascending order of the last four digits of your student ID number.
Please check your marks and report any discrepancies to me before the semester ends. 

Good luck with your final examinations!
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Assignment #5  was due on Tuesday, April 1st in class. Please hand it to me at the beginning of the lecture period.

(You can always hand in the assignments to me anytime before the due date!)

Reading Assignment for Week 12 : Chapters 31 plus  28 and 29 (optional)

TEST #2 was held on Tuesday,  March 25th,  19:00 - 20:00  in T13 / 125 & 127  (The test covered the material from Chapters 30 and 31)

Click  here  for short answers to assignment #4

Assignment #4  was due on Tuesday, March 18th in class. Please hand it to me at the beginning of the lecture period.

Click  here  for some probability distributions that you need to know.

Click   here   for a more detailed syllabus of the course (a week by week description, which will be regularly updated)

There is an ongoing debate about the "merit" of NHST (Null Hypothesis Signifi cance Testing). Some people are rather critical about the ubiquitous use of NHST and p-values:
Here are some sources:

http://community.dur.ac.uk/r.j.coe/teaching/critsig.htm
http://www.jstor.org/stable/449153
http://www.npwrc.usgs.gov/resource/methods/statsig/stathyp.htm
http://www.biomedcentral.com/1471-2288/10/44
http://onlinelibrary.wiley.com/doi/10.1111/j.1523-1739.2006.00525.x/full

Reading Assignment for Weeks 10 and 11 (10/03 to 21/03): Chapter 31

Reading Assignment for Week 9 (03/03 to 07/03): Sections 30.8, 30.9, 30.10. 30.11, 30.12, 30.13, 30.14, 30.15

Click  here  for short answers to Assignment #3.
Assignment #3  was due on Tuesday, March 4th in class.

Reading Assignment for Week 8 (24/02 to 28/02): Sections 30.1, 30.2, 30.3, 30.4, 30.5, 30.6, 30.7, 30.8

Week 7: Some light reading for reading(sic) week:  http://www.bbc.co.uk/news/science-environment-26151062

TEST #1 was on Tuesday,  February 11th,  19:00 - 20:00  in T13 / 125

Click  here  for Diego's beautiful lecture on Tuesday, Feb. 4th and  here  for the matlab code for plotting the Joukowski map.

Click  here  for some beautiful formulas that are worth dying for!

Click  here  for short answers to Assignment #2.
Assignment #2  was due on Tuesday, February 4th in class. Please hand it to me at the beginning of the lecture period.
(You can always hand in the assignments to me anytime before the due date!)


Reading Assignment for Week 6 (10/02 to 14/02): 25.6, 25.7, 25.8
Reading Assignment for Week 5 (03/02 to 07/02): Chapter 25
Reading Assignment for Week 4 (27/01 to 31/01): 24.7 from Chapter 24 and 25.1, 25.2, 25.3, 25.4 and 25.5 from Chapter 25

Here is an interesting non-technical talk about prime numbers, Riemann hypothesis and theoretical physics:
http://www.its.caltech.edu/~matilde/GeomPhysPrimes.pdf
Here is a recent provocative (or is it thought-provoking?) article in Scientific American "Is the Universe made of Math?"
http://www.scientificamerican.com/article.cfm?id=is-the-universe-made-of-math-excerpt
For a nice geometric introduction to Basic Complex Analysis, have a look at "Visual Complex Analysis" by Tristan Needham.
http://reece.web.cern.ch/reece/share/scratch/Needham.visual-complex-analysis.pdf
Compare that to "Khan Academy":  http://www.youtube.com/watch?v=FwuPXchH2rA (Euler is pronounced incorrectly, Oh well!)

Click  here  for short answers to Assignment #1
.
Assignment #1  was due on Tuesday, January 21st in class. Please hand it to me at the beginning of the lecture period. (You can always hand in the assignments to me anytime before the due date!)
CORRECTION: Please change pi to two pi in the integral in question #5 (integrate on the unit circle!)

Reading Assignment for Week 3 (20/01 to 24/01): Chapter 24  and 25.3 and 25.4 from Chapter 25
Reading Assignment for Week 2 (13/01 to 17/01): Chapter 24
Reading Assignment for Week 1 (06/01 to 10/01): Chapter 3 (review of complex numbers) and sections 24.1, 24.2, 24.3, 24.4,  24.8, 24.9
Students are responsible for reading the relevant material from the  textbook and/or the reference books and/or any other resources (freely available on the internet) and also for working out most of the exercises in the book (known as self-directed blended experiential learning); in preparation for the lectures

The first tutorial will be on Friday, January 17th, 2014 @ 11:30 in HH/109.
Your T.A. is Alexandra (Sasha) Teslya (teslyaa@math.mcmaster.ca) and her office hours are from 12:30 to 13:20
The first lecture was on Monday, January 6th, 2014 @ 09:30 in HH/109.

Click   here   for a more detailed syllabus of the course (a week by week description, which will be regularly updated) --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

Instructor

Lectures

Tutorials

Course Description

Required Textbook:
"Mathematical Methods for Physics and Engineering", 3rd edition, by K.F. Riley, M.P. Hobson & S.J. Bence, published by Cambridge University Press (same as last year!)

Other introductory textbooks:
"Mathematical Methods for Scientists and Engineers" by Donald A. McQuarrie (this was the textbook a couple of years ago)
"Mathematical Methods in the Physical Sciences" by Mary L. Boas  (actually I've never seen this book, but some people say it's good!)
"Mathematical Methods for Physicists" by George B. Arfken and Hans J. Weber  (a classic, although I've never read it either!)
"Advanced Engineering Mathematics" by Erwin Kreyszig  (another commonly used textbook)
"Probability and Statistics for Engineering and the Sciences" by Jay Devore  (this is the textbook we use in our department for Stats 2MB3)
 

Course Objective:
We will cover the material from Chapters 24, 25, 30, 31  and selected sections from Chapters 26, 28 and 29 of the prescribed text book. For a weekly update on what is covered in the course see the  course syllabus

Students are responsible for reading the relevant material from the  textbook and/or the reference books and/or any other resources (freely available on the internet)
and also for working out most of the exercises in the book  on their own (known as self-directed blended experiential learning)  in preparation for the lectures.

Course Work:

1. Tutorials: There will be a weekly tutorial.
2. Assignments: There will be four written assignments (some of the questions might require the use of mathematical software such as Matlab) to be handed in to me during the lecture period on the due dates.
Late assignments will not be graded.
3. Homework:  In addition to the assignments, there will be extra homework problems, which are not graded, Students should discuss these problems during the tutorial. Click  here  for Homework..
4. Tests: There will be two one-hour tests. The exact dates and locations will be announced in class and this course home page. 5. Final Examination: This will be a 3-hour final examination, scheduled by the Registrar's office during the exam period in April.

Grading Scheme


Academic Dishonesty:  

You are expected to exhibit honesty and use ethical behaviour in all aspects of the learning process. Academic credentials you earn are rooted in principles of honesty and academic integrity. Academic dishonesty is to knowingly act or fail to act in a way that results or could result in unearned academic credit or advantage. This behaviour 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 types of academic dishonesty please refer to the Academic Integrity Policy, located at http://www.mcmaster.ca/academicintegrity

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.


Other Policy Notes:

MSAF policy:

When using the MSAF, also report your absence to me (the course instructor M. Min-Oo) within 2 working days by email (minoo@mcmaster.ca) and contact me in person to learn what relief may be granted for the work you have missed, and relevant details such as revised deadlines, or time and location of a make-up exam. Please note that the MSAF may not be used for term work worth 30% or more, nor can it be used for the final examination.

Please refer to   http://registrar.mcmaster.ca/CALENDAR/2013-14/pg2246.html    for the exact rules.

Calculators: 

Only the standard McMaster calculator Casio fx 991 can be used for the tests and the final examination.

Important Notice: 

The instructor and the university reserve the right to modify or revise information contained in this course during the term. The university may change the dates and deadlines for any or all courses in extreme circumstances. If either type of modification or revision becomes necessary, reasonable notice and communication with the students will be given with explanation and the opportunity to comment on changes. It is the responsibility of the student to check their McMaster email and course websites weekly during the term and to note any changes.


Schedule of Topics (tentative)

(the numbers are chapters and sections from the text book)

Week 1 (06/01 to 10/01):  Review of Chapter 3 and 4,  24.1, 24.2, 24.3, 24.4, 24.8, 24.9

Week 2 (13/01 to 17/01):  24.10, 24.11, 24.12, 24.5, 24.6 

Week 3 (20/01 to 24/01):  24.13, 25.4

Week 4 (27/01 to 31/01):  25.5, 25.3   

Week 5 (03/02 to 07/02):  24.7, 25.1, 25.2

Week 6 (10/02 to 14/02):  25.6, 25.7, 25.8
 
Week 7 (17/02 to 21/02)    READING WEEK ;)

Week 8 (24/02 to 28/02):  30.1, 30.2, 30.3, 30.4, 30.5, 30.6, 30.7

Week 9 (03/03 to 07/03):   30.8, 30.9, 30.10, 30.11, 30.12

Week 10 (10/03 to 14/03):  30.13, 30.14, 30.15, 31.1, 31.2

Week 11 (17/03 to 21/03):  31.3, 31.4, 31.5, 31.6

Week 12 (24/03 to 28/03):  31.7, extra material on probability and statistics

 Week 13 (31/03 to 04/04): selected extra material from Chapter 28, 29 (group theory)

Week 14 (07/04 to  08/04)  Review