OPIM-661: SYSTEMS ANALYSIS, DESIGN, AND IMPLEMENTATION
This course is about the problem of designing, developing, and managing large, complex systems. This problem is regularly faced by nearly all managers and other professionals throughout their careers. The purpose of the course is twofold. First, we aim to familiarize students with the issues involved in conceiving, designing, building, and maintaining the kinds of large-scale, complex information systems now required for commercial (and governmental) purposes. Second, we aim to provide students with experience working with the main tools and techniques in systems analysis, design, and implementation. Special focus will be given to modern object-oriented design methodologies, and methodologies appropriate for Internet-based electronic commerce (e.g., UML and modern CASE tools).
OPIM-672: DECISION SUPPORT SYSTEMS
With the advances in computers, databases, communications and Internet technologies, modern organizations nowadays collect massive amounts of data on about everything we do – what we buy, the phone calls we make, payment records, financial transactions, loan applications and others. Analyzing data on this scale and converting it into knowledge to affect decision making, presents exciting new challenges. This course discusses DSS for business applications with a focus on data mining modeling and analysis. Data mining is a new generation of computerized technologies for discovering knowledge hidden in large amounts of data. It is an interdisciplinary field lying at the interface of Statistics, Computer Science and Artificial Intelligence. The application areas of data mining cut across many industries, including marketing, financial, retail, telecommunication, and in fact any data-rich industry. Business applications include direct and database marketing, CRM, risk management, fraud detection, web mining, recommendation systems and many others. The goal of this course is to bridge the gap between theory and practice and empower the students to apply data mining solutions in real world applications. This course is practically-oriented, emphasizing the knowledge discovery process, economical considerations and implementation issues. Real world assignments, involving realistic data, provide the students with hands-on experience in using data mining in practice.
In today’s complex business environment and tough competition, understanding the power of data mining is an asset that is certain to open up more challenging career opportunities for the Wharton graduates.