Haile Gessesse
Fall Term 2026 (1970)
MATH 154 - Calculus for Business and Economics I
3 units (fi 6)(EITHER, 3-0-0)
The derivative as a rate of change. Differentiation of elementary, trigonometric, exponential, and logarithmic functions. The definite integral as a summation. Integration. The Fundamental Theorem of Calculus. Optimization. Applications in the context of business and economics. Prerequisite: Mathematics 30-1. Note: Credit can be obtained in at most one of MATH 100, 113, 114, 117, 134, 144, 154 or SCI 100.
LECTURE C1 (52722)
2026-09-01 - 2026-12-08
TR 11:00 - 12:20
LECTURE D1 (52723)
2026-09-01 - 2026-12-08
TR 12:30 - 13:50
MATH 381 - Numerical Methods
3 units (fi 6)(EITHER, 3-0-1)
Approximation of functions by Taylor series, Newton's formulae, Lagrange and Hermite interpolation. Splines. Orthogonal polynomials and least-squares approximation of functions. Direct and iterative methods for solving linear systems. Methods for solving non-linear equations and systems of non-linear equations. Introduction to computer programming. Prerequisites: One of MATH 102, 125 or 127, and one of MATH 209, 214 or 217. Notes: (1) Credit cannot be obtained in MATH 381 in the same term as CMPUT 340 or if credit has already been obtained in CMPUT 340.(2) Extra classes may be held for students lacking a background in one of the major programming languages such as Fortran, C, C++ or Matlab.
LECTURE A1 (51444)
2026-09-01 - 2026-12-08
MWF 11:00 - 11:50
Winter Term 2027 (1980)
MATH 156 - Calculus for Business and Economics II
3 units (fi 6)(EITHER, 3-0-0)
Techniques and applications of integration. Improper integrals. Partial differentiation. Multivariate optimization. Probability and calculus. Applications in the context of business and economics. Prerequisite: One of MATH 100, 113, 114, 117, 134, 144 or 154. Note: Credit can be obtained in at most one of MATH 101, 115, 118, 136, 146, 156 or SCI 100.
LECTURE R1 (75069)
2027-01-04 - 2027-04-09
TR 09:30 - 10:50
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 R1 (77507)
2027-01-04 - 2027-04-09
MWF 09:00 - 09:50
LECTURE Q1 (78514)
2027-01-04 - 2027-04-09
MWF 08:00 - 08:50