Qualitative and Quantitative Chemistry is a course that deals with the study of the separation, identification, and quantification of the chemical components of natural and artificial materials. It covers the principles of chemical equilibrium and its applications to various equilibrium systems involving inorganic cations and anions. This course will provide students with a thorough background about chemical principles that are particularly important to analytical chemistry and develop the skills necessary to solve analytical problems qualitatively and quantitatively. Moreover, the students are also expected to perform laboratory tasks that will give them the confidence to obtain high-quality analytical data. This course also includes an introduction to classical and instrumental methods of quantitative chemical analysis.

This course will provide an insight into the importance of quality service to the tourism and hospitality industry. 

Quantitative Approaches  to Management involves research on operations. Thus, quantitative  approaches  to  management deals with mathematical solutions to problems that concern how to conduct and coordinate the operations or activities within an organization.  The mathematical models that are formulated seek to “optimize” a given objective function subject to a set of constraints; designed to aid in the planning and control of projects which  require  that  certain  activities  be  performed  in  sequence,  while  others  may  be  performed independently of others. In addition, the  course includes the provision of basic foundations in decision theory.

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This curse is a comprehensive introduction to the use of statistics in business decision-making. This course provides the analytical tools needed for making an informed business decision using data. The focus is on decision-making using the tools of statistics. Topics include graphical and numerical summaries of data, probability of distributions, hypothesis tests of mean and proportion, the chi-squared tests of statistical independence, and simple linear regression. The use of computing tools in statistical analysis is emphasized heavily.

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