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.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.
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.
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.
(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 3 (20/01 to
24/01): 24.13, 25.4
Week 5 (03/02 to
07/02): 24.7, 25.1, 25.2
Week 8 (24/02 to
28/02): 30.1, 30.2, 30.3, 30.4, 30.5, 30.6, 30.7
Week 10 (10/03
to 14/03): 30.13,
30.14, 30.15, 31.1, 31.2
Week 12 (24/03
to 28/03): 31.7, extra material on probability and
statistics
Week 14 (07/04
to 08/04) Review