300

Visualization techniques for business data are discussed in detail. Practical data visualization techniques for several improved decision-making and problem-solving scenarios will be discussed. The students will learn how to transform complex categorical data to equivalent easy-to-use visual representation. Current tools and development environments will be discussed.

Database concepts and design are covered, as well as database administration, relational and object oriented database systems and models, Internet database access and use of database software.

Business Intelligence curse offers an in-depth understanding of the modern tools and techniques for improved business decision making by utilizing the knowledge assets of an enterprise. Specifically classification, clustering, segmentation, decision support systems, search algorithms, data mining, factor and discriminate analysis and optimization concepts for both structured and unstructured data are discussed. Students will learn to use and design data analysis based solutions to real life business information problems.

This course is a hands-on study of the current data mining applications used for making business decisions. Using data from finance, operations, economics and other disciplines, students will learn various data mining techniques including decision trees, rule based reasoning, neural networks, and cluster analysis.

Students learn about and use data in decision making. This course emphasizes practical business applications; graphic and tabular summarization; measures of central tendency and dispersion; sampling distributions and estimation of important statistical parameters; hypothesis testing; analysis of variance; non-parametric methods; and single and multiple regression analysis. Excel is used to solve large scale case problems.

This course covers the development and utilization of quantitative models for business decisions (linear programming, decision theory, PERT/CPM, queuing theory, simulation, forecasting and inventory control). Business problems are analyzed and solved using the aforementioned methods.