Math (MATH) - For a syllabus or more detailed course information, please contact the department at 610-758-3731.

 

Course Listings

 Course#   Course Title (Credit Hours)          CRN         Day/Time                 Location  Session  Instructor

12-010 Basic Statistics (4) 20148 M-Th 8-9:35am & Th 2-3:50pm XS 201 First Szczepanski
21-010 Calculus I (4) 20149 M-Th 10-11:35am &     W 2-3:50pm MG 110 First Szczepanski
21-011 Calculus I (4) 20376 M-Th 12-1:35pm &       W 2-3:50pm XS 201  MG 110 Second Zhang
22-010 Calculus II (4) 20150 M-Th 12-1:35pm &       W 4-5:50pm RB 141 First Stanley
22-011 Calculus II (4) 20377 M-Th 10-11:35am &       T 2-3:50pm XS 201   MG 110 Second Dobric
23-010 Calculus III (4) 20151 M-Th 12-1:35pm &       Th 4-5:50pm RB 151 First Dodson
23-011 Calculus III (4) 20378 M-Th 8-9:35am &          T 10-11:55am XS 201   XS B001 Second Dodson
51-010 Survey of Calculus I (4) 20152 M-Th 8-9:35am &          T 2-3:50pm RB 151 First Queen
52-010 Survey of Calculus II (3) 20379 M-Th 2-3:35pm XS 201 Second Johnson
75-010 Calculus I, Part A (2) 20154 M/T/W 9-10:35am XS 303 First Staff
76-010 Calculus I, Part B (2) 20153 M/T/W 2-3:35pm XS 303 First Staff
76-011 Calculus I, Part B (2) 20380 M/T/W 10-11:35am MG 101 Second Zhang
205-010 Linear Methods (3) 20155 M-Th 2-3:35pm XS B001 First Dodson
205-011 Linear Methods (3) 20381 M-Th 12-1:35pm XS 303 Second Venkataraman
208-010 Complex Variables (3) 20156 M-Th 12-1:35pm XS 303 First Queen
231-010 Probability & Statistics (3) 20157 M-Th 10-11:35am XS 201 First Huang
231-011 Probability & Statistics (3) 20382 M-Th 8-9:35am XS 303 Second Dobric

Course Descriptions

12. Basic Statistics: A first course in the basic concepts and methods of statistics with illustrations from the social, behavioral, and biological sciences. Descriptive statistics; frequency distributions, mean and standard deviation, two-way tables, correlation and regression; random sampling, rules of probability, probability distributions and parameters, parameter estimation, confidence intervals, hypothesis testing, statistical significance. MA Note: Students may not receive credit for both MATH 12 & ECO 145.

21. Calculus I: Functions and graphs; limits and continuity; derivative, differential, and applications; indefinite and definite integrals; trigonometric, logarithmic, exponential, and hyperbolic functions. MA

22. Calculus II: Applications of integration; techniques of integration; separable differential equations; infinite sequences and series; Taylor's Theorem and other approximations; curves and vectors in the plane. Prerequisite: MATH 21 or MATH 31. MA

23. Calculus III: Vectors in space; partial derivatives; Lagrange multipliers; multiple integrals; vector analysis; line integrals; Green's Theorem, Gauss's Theorem. Prerequisite: MATH 22 or MATH 32. MA

51. Survey of Calculus I: Limits. The derivative and applications to extrema, approximation, and related rates. Exponential and logarithm functions, growth and decay. Integration. Partial derivatives and extrema. Prerequisite: Passing score on Readiness Exam, or MATH 0. MA

52. Survey of Calculus II: Trigonometric functions and related derivatives and integrals. Techniques of integration. Differential equations. Probability and calculus. Prerequisite: MATH 21 or 31 or 51. MA

75. Calculus I, Part A: Covers the same material as the first half of MATH 21. Meets three hours per week, allowing more class time for each topic that does MATH 21. MA

76. Calculus I, Part B: Continuation of Math 75, covering the second half of Math 21. Meets three hours per week. Final exam for this course is identical to the Math 21 final. Prerequisite: MATH 75. MA

205. Linear Methods: Linear differential equations and applications; matrices and systems of linear equations; vector spaces; eigenvalues and application to linear systems of differential equations. Prerequisites: MATH 23 or MATH 33 or MATH 52; 23 or 33 may be taken concurrently. MA

208. Complex Variables: Functions of a complex variable; calculus of residues; contour integration; applications to conformal mapping and Laplace transforms. Prerequisite: MATH 23 or MATH 33. MA

231. Probability and Statistics: Probability and distribution of random variables; populations and random sampling; chi-square and t distributions; estimation and tests of hypotheses; correlation and regression theory of two variables. Prerequisite: MATH 23 or MATH 33 or MATH 52 . MA