Courses Taught

• MAT 104 : Mathematics for Health Sciences
  This course covers computations and measurements essential in the health science professional fields. Topics include: units and measurements, ratios, solutions and dosages.
• MAT 150 : Introduction to Statistics
  This course covers basic statistics, including: measures of central tendency, measures of dispersion, graphs, correlation, the regression line, confidence intervals, the significance of differences, and hypothesis testing, including z-tests, t-tests, and chi-square tests.
• MAT 209 : Statistics
  This course covers statistical concepts and techniques with applications. Topics include probability, random variables, the binomial distribution, the hyper-geometric distribution, measures of central tendency, the normal distribution, precision and confidence intervals, sample design and computer projects.
• MAT 470 : Mathematical Foundations of Computer Networking (Same as CSC 470)
  This course presents the mathematical concepts underlying computer networks. The course introduces probability and stochastic process, queuing analysis, and basic graph theory and relates these topics to various layers of the seven layer Open Systems Interface (OSI) organization model of computer networks. Practical laboratory projects provide concrete illustration of theoretical concepts. Prerequisites: MAT 302

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