A General Education course designed for students majoring in subjects not requiring math skills, and those who dislike math. Projects are developed from a range of everyday situations: banking, the stock market, gambling, and even art. Meeting alternately in the classroom and the computer lab to develop mathematical models, students will develop quantitative reasoning, critical thinking, and problem-solving skills.
| Day | Start Time | End Time | Room |
|---|---|---|---|
Monday | 13:45 | 15:05 | PL-2 |
Wednesday | 13:45 | 15:05 | PL-2 |
Thursday | 13:45 | 15:05 | PL-2 |
Introduces the tools of statistical analysis. Combines theory with extensive data collection and computer-assisted laboratory work. Develops an attitude of mind accepting uncertainty and variability as part of problem analysis and decision-making. Topics include: exploratory data analysis and data transformation, hypothesis-testing and the analysis of variance, simple and multiple regression with residual and influence analyses.
| Day | Start Time | End Time | Room |
|---|---|---|---|
Tuesday | 12:10 | 13:30 | PL-4 |
Friday | 12:10 | 13:30 | PL-4 |
Wednesday | 12:10 | 13:30 | C-302 |
Introduces the tools of statistical analysis. Combines theory with extensive data collection and computer-assisted laboratory work. Develops an attitude of mind accepting uncertainty and variability as part of problem analysis and decision-making. Topics include: exploratory data analysis and data transformation, hypothesis-testing and the analysis of variance, simple and multiple regression with residual and influence analyses.
| Day | Start Time | End Time | Room |
|---|---|---|---|
Monday | 13:45 | 15:05 | PL-3 |
Wednesday | 13:45 | 15:05 | PL-3 |
Thursday | 13:45 | 15:05 | PL-3 |
Introduces the tools of statistical analysis. Combines theory with extensive data collection and computer-assisted laboratory work. Develops an attitude of mind accepting uncertainty and variability as part of problem analysis and decision-making. Topics include: exploratory data analysis and data transformation, hypothesis-testing and the analysis of variance, simple and multiple regression with residual and influence analyses.
| Day | Start Time | End Time | Room |
|---|---|---|---|
Tuesday | 15:20 | 16:40 | PL-4 |
Friday | 15:20 | 16:40 | PL-4 |
Wednesday | 15:20 | 16:40 | C-302 |
Introduces the tools of statistical analysis. Combines theory with extensive data collection and computer-assisted laboratory work. Develops an attitude of mind accepting uncertainty and variability as part of problem analysis and decision-making. Topics include: exploratory data analysis and data transformation, hypothesis-testing and the analysis of variance, simple and multiple regression with residual and influence analyses.
| Day | Start Time | End Time | Room |
|---|---|---|---|
Monday | 12:10 | 13:30 | C-302 |
Thursday | 12:10 | 13:30 | C-302 |
Wednesday | 12:10 | 13:30 | PL-4 |
Functions Modeling Change provides the algebraic and geometric skills needed to succeed in a Calculus course. The central topic is functions (in particular linear, polynomial, exponential and logarithmic), function notation and graphs, transformations, composition and inverses. Students also work with computers building mathematical models based on these functions, and implemented using graphing calculators, mathematical software and Excel.
| Day | Start Time | End Time | Room |
|---|---|---|---|
Tuesday | 12:10 | 13:30 | C-302 |
Friday | 12:10 | 13:30 | C-302 |
Wednesday | 12:10 | 13:30 | PL-5 |
Introduces differential and integral calculus. Develops the concepts of calculus as applied to polynomials, logarithmic, and exponential functions. Topics include: limits, derivatives, techniques of differentiation, applications to extrema and graphing; the definite integral; the fundamental theorem of calculus, applications; logarithmic and exponential functions, growth and decay; partial derivatives. Appropriate for students in the biological, management, computer and social sciences.
| Day | Start Time | End Time | Room |
|---|---|---|---|
Tuesday | 09:00 | 10:20 | PL-4 |
Wednesday | 09:00 | 10:20 | PL-4 |
Friday | 09:00 | 10:20 | PL-4 |
Introduces differential and integral calculus. Develops the concepts of calculus as applied to polynomials, logarithmic, and exponential functions. Topics include: limits, derivatives, techniques of differentiation, applications to extrema and graphing; the definite integral; the fundamental theorem of calculus, applications; logarithmic and exponential functions, growth and decay; partial derivatives. Appropriate for students in the biological, management, computer and social sciences.
| Day | Start Time | End Time | Room |
|---|---|---|---|
Tuesday | 12:10 | 13:30 | PL-2 |
Friday | 12:10 | 13:30 | PL-2 |
Wednesday | 12:10 | 13:30 | PL-1 |
Treats applications in economics and computer science, limited to Euclidean n-space. Topics include: the linear structure of space, vectors, norms and angles, transformations of space, systems of linear equations and their applications, the Gauss-Jordan method, matrices, determinants, eigenvalues and eigenvectors. Uses Mathematica for graphics and algorithms.
| Day | Start Time | End Time | Room |
|---|---|---|---|
Tuesday | 09:00 | 10:20 | PL-2 |
Friday | 09:00 | 10:20 | PL-2 |
Examines examples from the physical sciences to illustrate the introduced concepts. Topics include: trigonometric and hyperbolic functions; polar coordinates, parametric curves and conic sections; vectors, curves and surfaces in space; vector fields, line integrals, theorems of Green and Stokes.
| Day | Start Time | End Time | Room |
|---|---|---|---|
Monday | 12:10 | 13:30 | PL-2 |
Thursday | 12:10 | 13:30 | PL-2 |