Fall Term 2024 (1890)
MATH 125 - Linear Algebra I
3 units (fi 6)(EITHER, 3-0-0)
Systems of linear equations. Vectors in n-space, vector equations of lines and planes. Matrix algebra, inverses and invertibility. Introduction to linear transformations. Subspaces of n-space. Determinants. Introduction to eigenvalues and eigenvectors. Complex numbers. Dot product, cross product and orthogonality. Applications in a variety of fields. Prerequisite: Mathematics 30-1. Note: Credit can be obtained in at most one of MATH 102, 125 or 127.
LECTURE B1 (47654)
2024-09-03 - 2024-12-09
MWF 12:00 - 12:50
LECTURE D1 (47912)
2024-09-03 - 2024-12-09
TR 11:00 - 12:20
STAT 151 - Introduction to Applied Statistics I
3 units (fi 6)(EITHER, 3-0-0)
Data collection and presentation, descriptive statistics. Probability distributions, sampling distributions and the central limit theorem. Point estimation and hypothesis testing. Correlation and regression analysis. Goodness of fit and contingency table. Prerequisite: Mathematics 30-1 or 30-2. Notes: (1) Credit can be obtained in at most one of STAT 151, STAT 161, and STAT 235. (2) This course may not be taken for credit if credit has been obtained in STAT 222, STAT 266, STAT 276, KIN 109, PEDS 109, PSYCH 211, PTHER 352, SCI 151 or SOC 210.
LECTURE E1 (47536)
2024-09-03 - 2024-12-09
MWF 14:00 - 14:50
Winter Term 2025 (1900)
MATH 125 - Linear Algebra I
3 units (fi 6)(EITHER, 3-0-0)
Systems of linear equations. Vectors in n-space, vector equations of lines and planes. Matrix algebra, inverses and invertibility. Introduction to linear transformations. Subspaces of n-space. Determinants. Introduction to eigenvalues and eigenvectors. Complex numbers. Dot product, cross product and orthogonality. Applications in a variety of fields. Prerequisite: Mathematics 30-1. Note: Credit can be obtained in at most one of MATH 102, 125 or 127.
LECTURE R1 (73057)
2025-01-06 - 2025-04-09
MWF 11:00 - 11:50
STAT 151 - Introduction to Applied Statistics I
3 units (fi 6)(EITHER, 3-0-0)
Data collection and presentation, descriptive statistics. Probability distributions, sampling distributions and the central limit theorem. Point estimation and hypothesis testing. Correlation and regression analysis. Goodness of fit and contingency table. Prerequisite: Mathematics 30-1 or 30-2. Notes: (1) Credit can be obtained in at most one of STAT 151, STAT 161, and STAT 235. (2) This course may not be taken for credit if credit has been obtained in STAT 222, STAT 266, STAT 276, KIN 109, PEDS 109, PSYCH 211, PTHER 352, SCI 151 or SOC 210.
LECTURE U1 (73489)
2025-01-06 - 2025-04-09
TR 14:00 - 15:20