Introduction to systems of linear equations, geometric interpretation in two and three dimensions, introduction to matrices, vector addition and scalar multiplication, linear dependence, matrix operations, rank, inversion, invertible matrix theorem, determinants. Use of illustrative examples related to business. This course is not acceptable for (substitute) credit in any of the following degree programs: B.Math., and also B.Sc., B.C.S., B.Eng., B.I.D. Precludes additional credit for, but is not an acceptable substitute for: MATH 1102, MATH 1104, MATH 1107. Precludes additional credit for MATH 1109, MATH 1401/ECON 1401, MATH 1402/ECON 1402, BIT 1001, BIT 1101 Prerequisite(s): Ontario Grade 12 Mathematics of Data Management; or Ontario Grade 12 Mathematics: Advanced Functions, or MATH 0005, or equivalent, or permission of the School.Lectures three hours a week, tutorial one hour a week.

MATH 1119 [0.5 credit] Linear Algebra: with Applications to Business

Introduction to systems of linear equations, geometric interpretation in two and three dimensions, introduction to matrices, vector addition and scalar multiplication, linear dependence, matrix operations, rank, inversion, invertible matrix theorem, determinants. Use of illustrative examples related to business. This course is not acceptable for (substitute) credit in any of the following degree programs: B.Math., and also B.Sc., B.C.S., B.Eng., B.I.D. Precludes additional credit for, but is not an acceptable substitute for: MATH 1102, MATH 1104, MATH 1107. Precludes additional credit for MATH 1109, MATH 1401/ECON 1401, MATH 1402/ECON 1402, BIT 1001, BIT 1101 Prerequisite(s): Ontario Grade 12 Mathematics of Data Management; or Ontario Grade 12 Mathematics: Advanced Functions, or MATH 0005, or equivalent, or permission of the School.Lectures three hours a week, tutorial one hour a week.





There are no comments for this course.