Fall Term 2026 (1970)
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 C1 (51709)
2026-09-01 - 2026-12-08
TR 11:00 - 12:20
LECTURE D1 (54346)
2026-09-01 - 2026-12-08
TR 14:00 - 15:20
MATH 225 - Linear Algebra II
3 units (fi 6)(EITHER, 3-0-0)
Vector spaces. Inner product spaces. Examples of n-space and the space of continuous functions. Gram-Schmidt process, QR factorization of a matrix and least squares. Linear transformations, change of basis, similarity and diagonalization. Orthogonal diagonalization, quadratic forms. Applications in a variety of fields. Prerequisites: One of MATH 100, 113, 114, 117, 134, 144, 154 or SCI 100, and one of MATH 102, 125 or 127. Note: Credit can be obtained in at most one of MATH 225 or 227.
LECTURE A1 (51376)
2026-09-01 - 2026-12-08
MWF 10:00 - 10:50
Winter Term 2027 (1980)
MATH 102 - Applied Linear Algebra
3.5 units (fi 6)(EITHER, 3-0-1)
Vectors and matrices, solution of linear equations, equations of lines and planes, determinants, matrix algebra, orthogonality and applications (Gram-Schmidt), eigenvalues and eigenvectors and applications, complex numbers. Prerequisite or corequisite: MATH 100. Notes: (1) Credit can be obtained in at most one of MATH 102, 125, or 127. (2) Students in all sections of this course will write a common final examination. (3) Restricted to Engineering students. Non-Engineering students who take this course will receive 3 units.
LECTURE ER1 (77668)
2027-01-04 - 2027-04-09
MWF 11:00 - 11:50
LECTURE EU1 (77675)
2027-01-04 - 2027-04-09
MWF 12:00 - 12:50
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, SOC 210 or SOC 320.
LECTURE V2 (77863)
2027-01-04 - 2027-04-09
MWF 14:00 - 14:50