CORE CLASSES: IS 6410 Information Systems Analysis and Design IS 6420 Database Theory and Design IS 6440 Networking & Servers (3)

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1 COURSE DESCRIPTIONS CORE CLASSES: Required IS 6410 Information Systems Analysis and Design (3) Modern organizations operate on computer-based information systems, from day-to-day operations to corporate governance. This course introduces a systemic way of planning, analyzing, designing, and implementing a computer-based information system for automating and enhancing business processes in organizations. In this course, we learn the systems analysis and design methodology as well as techniques and tools for analyzing, modeling, and designing information systems. IS 6420 Database Theory and Design (3) Advanced topics in database theory and design, including hands-on development of a working database system. Topics covered include the relational database model, foundations in relational algebra, design techniques, SQL, distributed databases, multimedia databases, and knowledge bases. IS 6440 Networking & Servers (3) An introduction to the design, operation, and management of telecommunication systems including Server 2003, IIS, Linux, TCP/IP, and management support for networking. This course provides instruction in data communications and computer network definitions, concepts and principles, including (but not limited to): the conversion of voice, data, video and image to digital form; topologies; protocols; standards; and fundamental concepts related to data communication networks, such as routers, gateways, cabling, etc. It prepares students to make intelligent and informed decisions about data network design/management, by analyzing the benefits, drawbacks, effects, tradeoffs, and the compromises related to various data communication technologies. You will learn how to make policy, design and installation decisions. Meets with IS IS 6482 Data Mining (3) This course introduces data mining technologies that assist in discovery of reliable, understandable and useful patterns in structured, semi-structured and unstructured data. Students will practice core data mining technologies, analyze cases, and explore real world applications and issues. IS 6615 Data Structures and Java (3) Meets with IS This course introduces object-oriented computer programming to students using the Java programming language. Introductory topics such as variables, control-flow statements, and basic Java syntax are taught. In addition to single-value structure, the course covers lists, sets, hash tables, trees, and graph data structures. Algorithms for searching, sorting, and clustering data in the various structures are also covered. IS 6596 Master s Project: Analysis & Planning (1.5) The Master s Project is a capstone course divided over two semesters. Overall, the course involves the completion of an off-site complex information system development, strategic planning or research project. Students work in teams under the supervision of an on-site contact and in consultation with an IS/OIS faculty member. The project objective is to allow the student to integrate knowledge from individual courses and further expose students to new topics or techniques. The first half of the course entails that students put together a team, develop a project, secure faculty consultation, and create and submit a project proposal. IS 6597 Master s Project: Execution and Presentation (1.5) The second half of the course involves project execution and consultation with the MSIS Program Director to troubleshoot project issues. The course culminates with the submission of a written report and a professional presentation of project results by the student team for MSIS faculty and fellow students.

2 ELECTIVES Software Systems & Architecture IS 6465 Web Based Applications (3) The objective of the course is to provide knowledge and skills needed to create Web-based applications. It covers a broad set of technologies and tools that have led to the successful use of the World Wide Web for various businesses. This includes Java programming, JSP, HTML, XML, HTTP, Web servers and databases. IS 6471 Emerging Web Technologies and Strategies (3) Web 2.0 virtualization, cloud computing, mashups, widgets, web marketing, microblogging, blogs, wikis, VolP applications and others; Do you want to understand these terms? Do you want to know how emerging technologies can help you in increasing your web presence? Increasing the awareness about your company? Getting your work done at lower cost? OIS 6500 Visual Basic Applications for Excel (1.5) This class provides an introduction to creating macros in Excel using VBA. Applications will range from simple tasks like automating formatting, to more complex tasks like creating an interface that will allow users to find optimal Excel solutions with just a click of a button. While knowledge of computer programming is not a prerequisite for the class, a strong working knowledge of Excel will be useful in this class. IS 6850 Cloud Infrastructure & Services (1.5) Cloud computing is a fundamental component of modern IT infrastructure and application design. This course focuses on the advanced skills that are required to design and implement a public, private or hybrid Cloud infrastructure. Topics such as architecture, virtualization, storage, security migration, operations and business continuity are explored. Theoretical understanding is supported by extensive hands-on work implementing the concepts in a lab environment. IS 6850 Mobile Applications (3) Understanding the fundamentals of mobile software and development is vital to a successful career in Information Systems. This course will examine the software behind mobile applications, giving students hands-on exposure to building web and native device applications. While the course is applicable to all job roles, we will focus primarily on the details of developing software for mobile systems. (The Business School is not offering the Mobile Apps class in 2014, but interested MSIS students are able to take HEDU 6220 Applied Health Promotion Technology: Programming with AppInventor, a 3 credit online class offered through Health Education in the fall, and apply it to their MSIS elective credits. For more information, contact the MSIS advisor.) IT Security IS 6570 Information Technology Security (3) Management issues and practical implication related to securing information systems. Course focuses on Access Control, Site Security, Networking & Review of TCP/IP, Attack Methods, Firewalls, Host Security, Cryptography, Crypto Systems, E-Commerce & Security, and Incident Response. Clear theoretical understanding supports a large practical component where students learn to secure info systems and use contemporary security software. IS 6571 IT Forensics (3) Examines computer forensics and investigations. It looks at the problems and concerns related to computer investigations. It blends traditional investigation methods with classic systems-analysis problem solving techniques and applies them to computing investigations. It implements common computer forensic tools in real-life scenarios.

3 IS 6850 Special Topics Healthcare Information Technology (1.5) A company s data is one if its most valuable assets, particularly in healthcare. The rapid movement of healthcare from paper processes to electronic systems has significantly increased risk of compromise of sensitive patient data. This course focuses on the skills and knowledge that are required to manage the security of data in a healthcare environment. Securing data in healthcare is similar to data in other verticals, but is highly regulated and increasingly the target of attack. The value of a healthcare identity, to a malicious individual, is much higher than a personal identity, because of the complexity business processes and lack of strict oversight in healthcare that makes fraud and abuse possible. The HIPAA-HITECH regulations were implemented specifically to counter the growing number of threats to healthcare data. This course explains the types of information systems in healthcare, the relevant security controls, the details of the HIPAA-HITECH regulations and results in a deep understanding of how to develop a secure and compliant information system environment in healthcare. (No pre-requisites.) ACCTG 6520 IT Risks and Controls (3) Objectives include providing students with an understanding of the security issues in a computerized environment. Students will be exposed to security guidelines, implementation and cost issues, security issues pertinent to the internet, and other issues. Students will also be exposed to the potential for fraud and abuse in a computerized environment. Business Intelligence & Analytics IS 6480 Data Warehousing (3) This course briefly presents the data models of existing operational systems and then contrasts those models to dimensional models used in data warehouses and analytic processing engines. Business reporting needs are analyzed, data warehouses are modeled based on the reporting needs, and then SQL is used to create and populate tables based on dimensional models. Once in place, the data warehouse is used as a backend for a reporting tool to create reports that answer business questions. IS 6481 Business Intelligence & Analytics (3) This course introduces database technologies for building scalable data warehouse systems and technologies for user-oriented, interactive data analysis. Data warehouse systems differ from on-line transaction processing systems in time span and access mode of the data, and in query types and purposes. IS 6483 Advanced Data Mining (3) Prerequisite: IS 6482 Introduction to Data Mining This course covers advanced data and web mining methods and software tools for customer segmentation, recommendations, personalization, fraud detection, time series analysis, social network analysis as well as web content matching and extraction. Special attention will be given to imbalanced data mining, cost-oriented classification and privacy-preserving data mining issues and methods. Students will collect and analyze real world data using available data mining software or programming tools. IS 6484 Advanced Data Management A company s data is one if its most valuable assets, and the size of corporate databases are growing rapidly. This course focuses on the advanced skills that are required to manage data assets in a Relational Database Management System (RDBMS), emerging database architectures such as NoSQL and Cloud Databases. Managing a large database involves not only understanding advanced data access mechanisms, such as stored procedures, but also insuring the system has adequate performance, security, scalability and availability. Students will complete assignments that require using procedural SQL along with assignments that require implementing backups, restores, database mirrors, database clustering and in-memory databases. The course will use the Oracle, MS SQL Server, and MySQL RDBMSs, as well as NoSQL and Cloud Databases. (No pre-requisites; IS 6420 is very beneficial.) IS 6485 Digital Analytics (3) This course focuses on tracking Web site activity through JavaScript web beacons and analyzing the resultant data to optimize the Web site. Students will be given access to an enterprise class Web Analytics tool called Adobe

4 SiteCatalyst (formerly Omniture SiteCatalyst) that is used by hundreds of the world s top companies. We will also focus on implementation, coding (only rudimentary HTML knowledge is required), and gathering business requirements so that all implementation tasks are tied to a business question. Based on business requirements, students will learn how to determine which types of Key Performance Indicators (metrics and values) to capture in order to determine if business objectives are being fulfilled. Students will then map Key Performance Indicators to variables and metrics specific to Adobe SiteCatalyst to record the data (code implementation). OIS 6040 Data Analysis and Decision Making I (1.5) This course will develop decision making abilities with data-analysis and decision models. Applications will be in the business functional areas. Students will use computers to solve business problems. Course topics will include advanced statistical analysis, regression models, decision analysis basics, and portfolio management. OIS 6041 Data Analysis and Decision Making II (1.5) Prerequisite OIS 6040 or instructor permission This course is a continuation of Data Analysis and Decision Making I. Course topics will include advanced regression, simulation, Bayes theorem and the value of information in decision analysis. Product and Process Management OIS 6420 Quality Management (3) Introduction to the principles of quality management, with an emphasis on cross-functional problem solving. Topics include system design to control the quality of products and services, customer driven quality, leadership, employee participation and training, and strategic quality planning. OIS 6425 Six Sigma for Managers (3) Prerequisite OIS 6040 or instructor permission Six Sigma is a philosophy and set of concrete tools designed to reduce variation in all critical processes to achieve continuous and breakthrough improvements that impact the bottom line of organization and increase customer satisfaction. In this course, we will study the five phase DMAIC (Design-Measure-Analyze-Improve-Control) approach in detail with a combination of lecture, small group breakout sessions, and hands-on practice. Course topics will include a review of statistics, process improvement tools, statistical process control, measurement system evaluation, capability analysis and design of experiments. Statistical software such as Minitab will be required and used throughout the class. OIS 6610 Practical Management Science (1.5) Prerequisite OIS 6040 or instructor permission Meets with OIS Managerial decisions - regardless of their functional orientation - increasingly leverage quantitative models from the discipline of management science. This course takes a managerial approach to management science by using Microsoft Excel to setup, solve and analyze problems in a wide array of fields such as finance, marketing, operations, information systems, etc. The tools covered may include linear and integer models, critical- path method/project management, risk, insurance, decision trees and simulation. Where applicable, the course will build on topics at a more advanced level than models covered in OIS 6040 and 6041, Data Analysis and Decision Making. A working knowledge of MS Excel is required. OIS 6620 Supply Chain Management (1.5) Prerequisite C- or better in OIS 6061 or instructor permission Production of services and goods typically involves many process steps that are spread across multiple firms or departments. In supply chain management (SCM) we examine how to improve performance by considering the actions of multiple members within this chain of activities. SCM addresses not only the flow of materials from upstream to downstream members in the supply chain, but also the flow of information and funds. Advancements in information technology allow the supply chain to achieve performance improvements previously beyond reach, and may change the optimal structure of the supply chain. Class discussion is motivated by case studies that examine successful emerging supply chain strategies.

5 OIS 6621 Operations Strategy (1.5) Prerequisite: C- or better in OIS 6061 or OIS 6062 or instructor consent We explore various operational strategies that can lead to competitive advantage. Within each topic we develop a framework or theory that the firm can use to aid in decision-making and typically also tackle a real-life problem using a case study. Possible topics include product and process innovation, strategic implications of the learning curve, strategies from diffusion of new products, rapid product and process development, capacity management, strategic supplier management, strategic quality management, and mass customization. OIS 6660 Project Management (3) Project management has become the way of life in many industries. Whether it is development of a new product, organizational-wide implementation of a new IT tool, or execution of a merger, project management skills are required to manage cross-functional teams subject to strict deadlines and tight budget constraints. In this course we discuss all three phases of project management: project conception, execution, and closure. Issues related to project leadership, budgeting, and scheduling will be addressed in the course, and case discussions will highlight state of the art project management practices. Project management software will be introduced (possibly including group project using MS Project Software).