Partial derivatives, multiple integrals, vector fields in the plane and in space. Graphing calculator required

Psychrometric processes, heating and cooling load calculations, heating and cooling systems, refrigerants and refrigeration systems, cryogenics. Analysis and design of a complete environmental control system.

Algebraic, exponential and logarithmic functions for students preparing to study calculus. Graphing calculator required. Must be taken with MTHS 109S

This is an introductory probability course with a brief indication of applications to statistics. Since there is not a calculus prerequisite, the emphasis is on finite cases with heuristic treatment of countably infinite and continuous extensions. Basic theory of probability, counting rules, conditional probability, independence, Bayes’ Theorem. Discrete and continuous random variables. The course ends with a brief discussion of inferential statistics showing how the probability theory developed in the course leads to confidence estimation and hypothesis testing.

This is an introductory probability course with a brief indication of applications to statistics. Since there is not a calculus prerequisite, the emphasis is on finite cases with heuristic treatment of countably infinite and continuous extensions. Basic theory of probability, counting rules, conditional probability, independence, Bayes’ Theorem. Discrete and continuous random variables. The course ends with a brief discussion of inferential statistics showing how the probability theory developed in the course leads to confidence estimation and hypothesis testing.

This is an introductory probability course with a brief indication of applications to statistics. Since there is not a calculus prerequisite, the emphasis is on finite cases with heuristic treatment of countably infinite and continuous extensions. Basic theory of probability, counting rules, conditional probability, independence, Bayes’ Theorem. Discrete and continuous random variables. The course ends with a brief discussion of inferential statistics showing how the probability theory developed in the course leads to confidence estimation and hypothesis testing.