 |
|
|
|
|
|
|
|
|
|
 |
 |
 |
 |
 |
 |
 |
|
||
 |
|
||||||||
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) | 20390 | M-Th 8-9:35am & Th 2-3:50pm |
XS 203 | First | Szczepanski |
| 21-110 | Calculus I (4) | 20391 | M-Th 10-11:35am & W 2-3:30pm |
XS 203 | First | Szczepanski |
| 21-111 | Calculus I (4) | 20292 | M-Th 8-9:35am & T 2-3:50pm |
MG 110 MG 270 |
Second | Vankataraman |
| 22-110 | Calculus II (4) | 20392 | M-Th 12-1:35pm & W 2-3:50pm |
MG 101 | First | Stanley |
| 22-111 | Calculus II (4) | 20294 | M-Th 10-11:35am & W 2-3:50pm |
MG 110 MG 270 |
Second | Zhang |
| 23-110 | Calculus III (4) | 20406 | M-Th 12-1:35pm & Th 4-5:50pm |
XS 204 | First | Eisenberg |
| 23-111 | Calculus III (4) | 20295 | M-Th 12-1:35pm & Th 2-3:50pm |
MG 110 MG 270 |
Second | Dobric |
| 51-110 | Survey of Calculus I (4) | 20407 | M-Th 8-9:35am & Th 2-3:50pm |
XS 204 | First | Johnson |
| 52-110 | Survey of Calculus II (3) | 20296 | M-Th 2-3:35pm & T 10-11:50am |
MG 260 | Second | Queen |
| 75-010 | Calculus I, Part A (2) | 20408 | M/T/W 8-9:35am | XS 201 | First | Staff |
| 76-010 | Calculus I, Part B (2) | 20297 | M/T/W 12-1:35pm | XS 201 | First | Zhang |
| 76-011 | Calculus I, Part B (2) | 20409 | M/T/W 10-11:35am | XS 204 | Second | Dodson |
| 130-010/BIOS 130-010 | Biostatistics (4) | 20760 | M-Th 12-1:35pm | MG 480 | Second | James |
| 205-010 | Linear Methods (3) | 20298 | M-Th 10-11:35am | XS 201 | First | Queen |
| 205-011 | Linear Methods (3) | 20410 | M-Th 12-1:35pm | XS 201 | Second | Dodson |
| 208-010 | Complex Variables (3) | 20411 | M-Th 2-3:35pm | XS 201 | First | Johnson |
| 231-010 | Probability & Statistics (3) | 20299 | M-Th 8-9:35am | XS 201 | First | Dobric |
| 231-011 | Probability & Statistics (3) | 20412 | M-Th 10-11:35am | XS 201 | Second | Huang |
| 301-010 | Principles of Analysis I (4) | 20730 | TBD | Full | Szczcpanski | |
| 301-011 | Principles of Analysis I (3) | 20731 | TBD | Full | Szczcpanski |
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
130. Biostatistics: Elements of statistics and probability theory with emphasis on biological applications. Statistical analysis of experimental and observational data. Prerequisites: BIOS 41 and Math 52 or 22. ND
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
301. Principles of Analysis I: Existence of limits, continuity and uniform continuity; Heine-Borel Theorem; existence of extreme values; mean value theorem and applications; conditions for the existence of the Riemann integral; absolute and uniform convergence; emphasis on theoretical material from the calculus of one variable. Prerequisite: MATH 23 or MATH 33. MA