Examines enterprise resource planning (ERP) information systems in greater depth through extensive hands-on use of ERP software to reinforce understanding of how these systems facilitate integrated business processes. Includes configuration of an ERP system.
Information Systems Development and Implementation
INFO-476
Average GPA: 3.54
Withdraw Rate: 6%
Total Enrollment: 372
Number of Reviews: 0
Design, implementation, and documentation of an information system. The development project is in the form of field-study or in-depth case-study. Successful completion of this course satisfies the ABLE requirement.
Introduction to analytic geometry, limits, continuity, derivatives of elementary functions, applications of derivatives and antiderivatives in a biological context.
Descriptive and inferential analysis of data, emphasizing appropriate assumptions, computer use and interpretation. Parametric and non parametric methods will be compared and contrasted throughout the course.
Laboratory activities to reinforce topics covered in MATH 155 or equivalent. To further study and apply the concepts of descriptive and inferential statistics in a hands-on setting using technology.
Basic concepts of linear algebra: linear equations and matrices, vector spaces and subspaces, similar matrices, basis and dimension, linear transformations, eigenvalues, determinants, orthogonality, coordinate systems, and applications to geometry.
Solutions of first and second order equations and their applications: separable, exact, homogeneous, linear. Numerical and series solutions of ordinary and partial differential equations.
The study of relationships among variables. Correlation, simple linear regression and multiple regression analyses are studied. Other topics such as Ridge regression and logistic regression also are considered. Computer software such as Minitab and SPSS is used.
Mathematical Connections for Secondary School Teachers
MATH-430
Average GPA: 3.65
Withdraw Rate: 0%
Total Enrollment: 55
Number of Reviews: 0
Connection of the undergraduate mathematical curriculum to the secondary mathematics curriculum by examining high school curriculum topics from an advanced and historical perspective. Considers contributions from diverse cultures as students examine the historical development of numbers and number systems, algebra, Euclidean and non-Euclidean geometries, calculus, discrete mathematics, statistics, probability, and measurements.
Mathematical basis for model building; examples of simple models for uncomplicated systems in biology, psychology, business and other fields; finite Markov process; models for growth process; linear programming.
Introduction to mathematical dynamics and chaos. Topics include orbits, bifurcations, Cantor sets and horseshoes, symbolic dynamics, fractal dimensions, notions of stability, flows and chaos. Includes motivation and historical perspectives, as well as examples of fundamental maps studied in dynamics and applications of dynamics.
Safety in the Biological, Chemical and Clinical Laboratory
MDTC-101
Average GPA: 2.37
Withdraw Rate: 13%
Total Enrollment: 600
Number of Reviews: 0
Review of laboratory safety. Summary of government laws and regulatory bodies and their effect on lab policy. Illustrations of proper procedures for laboratory hazards. Topics include chemicals, infectious microbes, animals, fire, electrical equipment, radiation, glassware and compressed gases. Training in the use of safety equipment, protective clothing and general first aid.
