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Professor
Douglas Wiens Office: CAB 429 Reload to change picture |
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Course
materials:
- Course information, assessment procedures,
etc.
- The ‘recommended’ (see
my comments in course information)
textbook - Advanced Calculus with Applications in Statistics, by A.
Khuri, is summarized here,
and is widely available. It won’t be followed exactly, but is a nice read
and might be a useful complement to the online lecture notes.
- Lecture
notes. These are constantly under revision, both before and after
class. Don’t bother printing out more than one or two lectures at a time.
- My TIPS FOR SUCCESS in
this course.
- Academic integrity – see
the entry in course
information, and in particular see ‘Don’t do it’.
Problem
sets to be worked on in the labs - the midterm (part I) questions, and about
half of the final exam questions, will be chosen from among these:
- Lab
1 (hints/solutions – come in and
see me if these aren’t sufficient.)
- Lab
2 (hints/solutions)
- Lab
3 (hints/solutions)
- Lab
4 (hints/solutions)
- Lab
5 (hints/solutions)
- Lab
6 (hints/solutions)
- Lab
7 (hints/solutions)
- Lab
8 (hints/solutions)
- Lab
9 (hints/solutions)
- Lab
10 (hints/solutions)
- Lab
11 (hints/solutions)
- Lab
12 (hints/solutions)
Exams:
- Midterm exam (part II) questions.
The questions in Part II of the midterm exam will be chosen from this list
(see course
information).
- Final exam questions. The questions
in the final exam will be chosen from this list, and from the problems
worked on in the final seven labs.
Technical
Writing:
- The importance of
clarity of exposition, and of grammatical correctness, in technical
writing cannot be over-emphasized. The best way to determine if you
understand what you are doing is to try to write it down in a form that
another reader can understand. Some comments along these lines are
included with the course information; for
some helpful resources see “Writing Aids” on my homepage. And just in
case you think I’m the only one being so fussy, see the advice from my colleague Byron
Schmuland.
Statistics resources at U of A:
- Course listings
- Several of our courses,
including this one, can be used to obtain accreditation as a
practising statistician in Canada.
Department
of Mathematical and Statistical Sciences Home Page