The Communication and Persuasion course enhances student professionalism in business contexts by improving oral communication skills. Upon completion of this course, they will know the key aspects of a project as identified by the Project Management Institute’s (PMI) Project Management Body of Knowledge (PMBOK) and will be able to effectively manage IT-intensive business projects. This course helps students understand and develop the important body of knowledge and skills in project management by learning useful concepts, frameworks, theories, principles, methodologies, techniques, and tools within the context of IT. Given the increasing complexity of business and technology environments, it is very challenging for project managers to complete mission-critical projects on time and within budget while satisfying clients and stakeholders. Each student group will also research a current topic in business data management and make a presentation on this topic in class. The major ideas and techniques will be reinforced through the work on successive segments of a group project. ![]() After successful completion of the course, students will be able to appreciate why database management is important, analyze the data requirements of a business scenario and represent these requirements by means of entity-relationship (ER) diagrams, translate an ER diagram into normalized tables for a relational database management system, and write simple and relatively complex data retrieval commands in the SQL language for Oracle and Microsoft Access databases. This course provides the basic concepts and skills needed to analyze and organize business data, as well as to utilize the organized data to answer a variety of business queries. MGMT 58200: Management of Organizational Data The material is approached from the perspective of a business analyst, with an emphasis on supporting tactical and strategic decisions. The issue thus becomes: How does one approach these large quantities of data with the purpose of intelligent decision-making? The purpose of this course is to introduce the concepts, techniques, tools, and applications of data mining. Today’s electronically networked world provides a nearly infinite number of opportunities for data collection. In order to make intelligent decisions, one must have access to data and information. Simon (1977) stated that managerial decision-making is synonymous with the entire process of management. MGMT 57100: Data Mining w/SAS Enterprise Miner ![]() This course provides hands-on experience of computer applications using Microsoft Excel and the spreadsheet add-ins RISKOptimizer, SimQuick, etc. The topical coverage mainly consists of the following four modules: (1) deterministic and stochastic optimization techniques to determine the best managerial actions under internally- and/or externally-imposed constraints (2) probability distribution fitting techniques to find the most likely description of the uncertainty in future business (3) simulation modeling techniques to discover and analyze the risk and uncertainty in business environment and processes (4) application of spreadsheet modeling and simulation techniques in forecasting asset dynamics (stock price) and pricing options and real investment opportunities. This course covers up-to-date and practical spreadsheet modeling and simulation tools that can be applied to a wide variety of business problems in finance, marketing, and operations. The latest versions of these spreadsheet packages contain powerful analytical tools that could be possible only with mainframe computers and mathematically trained personnel more than a decade ago. ![]() In the past eighteen years, Excel spreadsheets have become the standard tool that business people use to model and analyze quantitative problems. MGMT 57000: Spreadsheet Modeling and Simulation
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