600
For graduate students only. This course provides an integrated view of managing information systems and operations. Case studies and the SAP enterprise system are used to address key concepts. The course covers the strategic use and development of information systems as well as providing hands-on experience with enterprise systems. Emphasis is placed on managing the supply chain and its impact on strategic planning. The course addresses each element in the operation of a successful supply chain including having the right quantity, quality, location, time, price and information at each stage of the supply chain process. Both classroom and alternative instructional methods may be employed.
Credit Hours: 4
Prerequisites
QMB 500.
For graduate students only. This course is a study of project management using the systems approach to problem solving. This course covers the nine project management knowledge areas. Contemporary project management software is used to illustrate all concepts. The course covers management of multiple projects, new product development, and large technology programs. Information-processing methods such as the Design Structure Matrix are used to analyze task dependencies. Methods for managing uncertainty in project management are covered. Students use case studies, readings and software applications to learn the sophisticated techniques and management designs used to effectively manage risk and uncertainty, financial exposure and human constraints.
Credit Hours: 4
Prerequisites
QMB 500
Leading companies compete on analytics. This course focuses on using data, statistical and quantitative analysis, data-mining models, and data-driven insight to support decision-making and actions. Students gain knowledge and skills to manipulate and analyze data sets. Topics include the strategic value of analytics and building analytical capabilities, relevant concepts related to data manipulation, data and text mining techniques, and business applications of data mining and analytics.
Credit Hours: 4
Prerequisites
QMB 500.
This course introduces how to use apply a modern programming language in the process of data mining and business analytics. This course provides hands-on development experience where students utilize programming languages, such as Python and SQL, to process, analyze, model a variety of real-world datasets.
Credit Hours: 4
Prerequisites
Pre-requisite or co-requisite
QMB 500.
This course focuses on a managerial view of the software development and programming process with a focus on secure programming, code management, data processing, and analytics. Students will undertake a detailed study of the Python programming language and associated development tools. Topics include the software development life-cycle, requirements analysis and documentation, the role of programming languages in software development, version control systems, structured programming, data structures, predictive modeling, static code analysis, and exception handling.
Credit Hours: 4
For graduate students only. This course examines enterprise system concepts with a focus on understanding how enterprise systems integrate information across business functional areas. Students will learn the fundamentals of a current Enterprise Resource Planning (ERP) application (SAP). The use of enterprise systems at both the transaction processing level and the managerial level is covered. Case studies, business simulation, and hands-on exercises with an enterprise system are used to enhance student understanding. Configuration of an enterprise system for business processes is covered. Students will prepare a comparative analysis of two enterprise systems.
Credit Hours: 4
This course will focus on relational database administration, as well as the use of Structured Query Language (SQL) and its object-oriented extensions—stored procedures and functions. Students will use a modern relational database management system (DBMS) to learn database administration, including the creation and updating of objects in databases. Specifically, students will learn to write procedural logic, such as data validation, using conditional and iterative controls, error handling, and store them in a central location. In addition, database security issues, such as access control, will be discussed.
Credit Hours: 4
Prerequisites
CYB 601 or
ITM 505. Can be waived if the student has completed a database or programming course within the past 7 years with a grade of "B" or higher; or passed Oracle Database SQL Certified Associate Exam.
For graduate students only. The course presents an integrated approach to managing IT organization by guiding the participant though a process of effectively aligning, investing, measuring, deploying and sustaining the strategic and tactical direction of IT organizations in 21st-century businesses. The course leverages and integrates current and emerging industry best practices, standards guidelines and leading company case studies. Students will learn how to develop and evaluate an IT management plan by studying an IT organization in a contemporary business as part of the semester-long project.
Credit Hours: 4
For graduate students only. This course focuses on innovation's role in 21st-century organizations. It addresses the need for a systemic approach to building innovation capabilities and the challenges of integrating the many facets of innovation management. Leading innovators and building innovative organizations are covered from both a theoretical and applied approach. Topics addressed include fundamental theories of innovation; developing an innovation strategy; innovation as a business process; the role of the innovation context including leadership and organization, culture and values, people and skills, and processes and tools; and assessing and improving innovation performance.
Credit Hours: 4
This course will provide an introduction to managing, mining, and analyzing big datasets. This course will incorporate distributed and parallel algorithms and supported systems to mine large datasets. The course will also use database technology including NoSQL databases. The final project in the course would involve mining a big dataset from a real company using the techniques learnt in the course to gain insights into real business issues.
Credit Hours: 4
Prerequisites
QMB 500 and
ITM 615.
Corequisites
ITM 617
The course provides an introduction to supply chain management language, concepts, tools, and strategies and is targeted to executives and general managers. The course focuses on supply-chain strategy; therefore, the course begins with an overview of business, corporate, and global strategy. The case method is used and supplemented with lectures.
Credit Hours: 4
International students must consult with the Office of International Programs. May be used to satisfy up to two hours of practicum requirements.
Credit Hours: 1-3
Prerequisites
Approval of the graduate office, the college internship coordinator and the associate dean.
A course offered at the discretion of the ITM department. Subject may focus on a topic of current interest in the field, training in a specific area of the field, or a topic that is of interest to a particular group of students.
Credit Hours: 4
Prerequisites
To be specified at time of offering.
For graduate students only. Contemporary topics in information systems and technology management.
Credit Hours: 1-8
Prerequisites
Minimum 3.5 GPA and written permission of the department chair.