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This
course is designed to provide a mathematical background for students in
the BBA programme. It is also suitable for the Ordinary Programme in
Mathematics for Commerce, but should not be
taken by those who intend to major in any other programme in
Mathematics or Statistics or in Computer Science.
It includes calculus, matrix algebra and
elements of optimization with applications to management.
This course is designed primarily for students interested in business
programmes. It satisfies a requirement for entry to the BBA
programme in the Schulich School of Business.
One theme of the course is optimization -- how to maximize
or minimize a function subject to certain constraints. Most of the
course is a discussion of calculus and its applications; matrix theory
and its applications are also discussed. The emphasis will be
on techniques and on applications to
business and management problems. The content of this course is
very similar to that of the two courses MATH 1530 3.0 and
MATH 1540 3.0. These courses will also satisfy
the requirements for the programmes mentioned above, and they are
suitable for those who plan to major in economics.
Those who wish a stronger foundation in calculus, or who wish to
major in any Mathematics programme other than those mentioned above,
should avoid calculus courses with second digit 5.
The text will be Haeussler and Paul, Introductory
Mathematical Analysis (latest ed.), Prentice-Hall.
The method for determining the final grade has not yet been decided.
Prerequisite:AS/SC/MATH 1515 3.0 (may also be taken
as a first-term corequisite) or AS/SC/MATH 1500 3.0 or
OAC Calculus or equivalent.
Exclusions:AS/SC/MATH 1000 3.0,
AS/SC/MATH 1013 3.0, AS/SC/AK/MATH 1300 3.0,
AS/SC/MATH 1505 6.0, AS/MATH 1530 3.0,
AS/MATH 1540 3.0, AS/ECON 1530 3.0, AS/ECON 1540 3.0.
This course may not be taken by any student who has
taken or is taking AS/SC/MATH 1025 3.0 or AS/SC/
MATH 2000 6.0 or AS/SC/MATH 2021 3.0 or AS/SC/AK/
MATH 2221 3.0 or AK/MATH 2220 6.0 or equivalent.
Coordinator: M. W. Wong
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