Explanation of Course Numbers
- Courses in the 1000s are primarily introductory undergraduate courses
- Those in the 2000s to 4000s are upper-division undergraduate courses that can also be taken for graduate credit with permission and additional work
- Those in the 6000s and 8000s are for master’s, doctoral, and professional-level students
- The 6000s are open to advanced undergraduate students with approval of the instructor and the dean or advising office
Note: MSIST candidacy or departmental approval is prerequisite to ISTM 6201 Information Systems Development and Applications–ISTM 6225 Cloud Foundations.
Introductory course in writing simple computer programs using Python; data-analytic thinking and business applications through hands-on practices. No prior knowledge or experience in programming is required.
Analysis, design, and implementation of management information systems (MIS). Structured methodologies and techniques for various stages of the MIS development process. Computer-aided software engineering tools. May be taken for graduate credit with permission of the program director and instructor and extra assigned work.
Theory, architecture, and implementation of database management systems in corporate and organization information systems; fundamental concepts of database management and processing; hands-on experience with database management packages.
A technical overview of data communication concepts that are useful in the design and management of local and wide area networks. Internet technologies and their business applications are emphasized. Prerequisite: BADM 2301.
A technical overview of data communication concepts that are useful in the design and management of local and wide area networks. Internet technologies and their business applications are emphasized. Includes a significant engagement in writing as a form of critical inquiry and scholarly expression to satisfy the WID requirement. Prerequisite: BADM 2301.
Complex ethical dilemmas inherent in the introduction of new technologies and the influence human behavior asserts on these problems. Students write stories to explore and evaluate specific ethical problems relative to technology from various perspectives. Includes a significant engagement in writing as a form of critical inquiry and scholarly expression to satisfy the WID requirement.
Concepts and practice necessary for creating Internet content. Technical overview of the Internet environment and the structure of the World Wide Web. Recommended background: Prior completion of ISTM 3119.
Computer security issues from the design, management, and business information system ownership perspectives. System security concepts, methods, and policies from design and planning to implementation. Risk assessment strategies. Recommended background: ISTM 4120.
Concepts, techniques and tools of reporting and analyzing web data to derive actionable customer intelligence, develop digital strategies and evaluate their impacts.
Application of conceptual and technical knowledge to analyzing, planning, and designing an online information system. Culminates with a system proposal and design presentations. Restricted to eligible students in their final semester. Prerequisites: ISTM 3119, ISTM 4120, ISTM 4121, ISTM 4205, ISTM 4206, and ISTM 4209.
Traditional and contemporary tools for data wrangling, databases, data warehousing. Focus on schema design and dimensional modeling; hands-on experience using these tools and other contemporary methods for managing and analyzing data at scale.
Enterprise applications concepts, architecture, and technologies for emerging technologies and IT frameworks. The Iinternet as a major resource for globally distributed applications using grid and utility computing. Prerequisites: ISTM 3119.
A comprehensive introduction to the recent developments in AI through the coverage of fundamental AI concepts, practical business applications and the hands-on experiences with modern deep learning frameworks such as Keras. Prerequisites: ISTM 3119.
An introduction to and overview of the field of human-computer interaction (HCI), an interdisciplinary field that integrates theories and methodologies from computer science, cognitive psychology, design, and other areas. Readings cover current theory and practice in interface specification, design, and evaluation, and include current and classic research papers in the field.
The creation of mobile solutions for various modern platforms, including major mobile operating systems, and how to program using Java and apply this knowledge to Android Platform in smart phones. Recommended background: prior completion of one of the following: ISTM 3119, ISTM 6200, or ISTM 6205.
Apache Spark technology skills to analyze huge data sets. Taught in Python, continuing on to learning to use Spark DataFrames with the latest Spark 2.0 syntax; the MLlib Machine Library with the DataFrame syntax and Spark.
Process of innovation entrepreneurship used to launch and build new ventures; technology ventures; organizing for innovation, raising venture capital, wealth creation, managing the growing innovation venture, marketing technology products and services. Students enrolled at the graduate level are expected to do additional work. (Same as ISTM 6223).
New developments in scientific and technological innovation, including automation, energy, medicine, bioengineering, social science, information technology, and space; forecasting technological advances and assessing their economic and social effects. Students enrolled at the graduate level are expected to do additional work. (Same as ISTM 6233).
Experimental offering; new course topics and teaching methods. May be repeated once for credit.
Experimental offering; new course topics and teaching methods. May be repeated once for credit. Includes a significant engagement in writing as a form of critical inquiry and scholarly expression to satisfy the WID requirement.
Assigned topics. Admission by prior permission of advisor. May be repeated once for credit.
Introduction to Python programming language, Structured Query Language (SQL), relational database design, data wrangling, and rudimentary data analysis.
The information systems life cycle evaluated in terms of technologies, impact, and management. Structured and object-oriented analysis, prototyping, software reuse, testing, life-cycle costs, software development environments, and organizational and behavioral aspects of development projects. Restricted to students in the MS in information systems technology program or with permission of the department.
Introduction to the theory of relational databases and commences an in-depth discussion of Relational database theory and design at the conceptual, logical, and physical levels. Structured query language (SQL) is covered in depth. Restricted to Students in the MS in Information Systems Technology program or with permission of the department.
Enterprise data and telecommunications networks with emphasis on operations and security on the cloud; functional characteristics of network technologies, gateways, and configurations; operational best practices to enhance the security of data and systems.
Project and program management practices with an emphasis on information technology projects. The basic tools of project management: work breakdown structure, cost, schedule and performance goal setting, and risk analysis. Restricted to students in the MS in information systems technology program or with permission of the department.
Comprehensive examination of computer security issues from the design, management, and business information system ownership perspectives. System security concepts, methods, and policies from the design and planning stages to multi-level system implementation. Design of risk assessment strategies to achieve security goals. Restricted to students in the MS in information systems technology program or with permission of the department.
Information resources management strategically assesses and exploits information technology assets for competitive advantage. The CIO role in information resources management, planning, security, information integration, enterprise model development, and data administration.
Concepts, techniques, and tools of collecting, analyzing, and reporting digital data concerning how users interact with organizations through the Internet and social media; business intelligence; key performance indicators; new business models. Restricted to students in the MS in information systems technology program or with permission of the department.
Students apply conceptual and technical knowledge in analyzing, planning, and designing an online information system. Culminates with system proposal/design presentations. Restricted to students in their final semester in the MS in information systems technology program or with permission of the department. Prerequisites: ISTM 6201, ISTM 6202, ISTM 6204, ISTM 6205, ISTM 6206 and ISTM 6209.
Introduction to the theory of data warehousing, dimensional data modeling, and online analytical processing (OLAP) through case studies, technology, and a design project. Restricted to students in the MS in information systems technology program or with permission of the department. Prerequisite: ISTM 6202.
Relational databases, data warehousing, and dimensional modeling. Practical experience with these and other traditional and contemporary methods for managing and analyzing data at scale, including Unix command line and Apache Spark. Restricted to students in the MS in business analytics program.
Enterprise applications concepts, architecture, and technologies for emerging technologies and IT frameworks. The internet as a major resource for globally distributed applications. Prerequisites: ISTM 3119 OR ISTM 6200.
Foundations of artificial intelligence. Introduction to advanced programming design and development of solutions to automate business processes. Prerequisites: ISTM 3119 OR ISTM 6200.
Human–computer interaction as an interdisciplinary endeavor integrating theories and methodologies from computer science, cognitive psychology, design, and many other areas. Theory and practice in interface specification design and evaluation, and research.
The development and implementation of information systems and technology strategies designed to align with and maximize business strategy applications and approaches in a challenging and increasingly global business environment.
Case studies on the innovation–entrepreneurship processes used to launch and build new ventures based on information technology and on technology more broadly. Organizing for innovation, raising venture capital, managing the small technology-based venture, marketing technology products and services, intellectual property considerations, and new venture proposal development.
Business, technological, economic, and political factors that influence the development and deployment of new technology products, processes, and services. Managing technology, corporate innovation, alternatives, new approaches, sources of competitive advantages.
Concepts of cloud managed enterprise architecture as a management tool to align information technology assets, people, operations, and projects with operational characteristics.
Exploration of new developments in scientific and technological innovation, including automation, energy, medicine, bioengineering, social science, information technology, and space. Emphasis on forecasting these technological advances and assessing their economic and social effects. The role of advancing technology in driving social change.
Fundamentals and practice of due diligence and screening of early-stage investment opportunities. Same as FINA 6234.
Capstone course integrating the field of management of science, technology, and innovation. Commercialization of technology in the private sector and the impact on competitiveness. Implementation of technology in the public sector. Technology development, from new product concept to utilization. Prerequisites: ISTM 6224 or MBAD 6253; and ISTM 6232 or ISTM 6233; or permission of the instructor.
The user-computer interaction, human factors of online dialogues, interfacing, and various approaches to user-system interaction; development and evaluation of user-computer interfaces.
Topics vary by semester. May be repeated for credit provided the topic differs. Consult the Schedule of Classes for more details.
Training in core SQL, especially data query language (DQL) and data manipulation language (DML). Concepts of SQL, including writing SQL statements and understanding of database operations.
Decision making using artificial intelligence. Real-world examples from finance, health care, marketing, and operations illustrate applications of machine learning methods. Includes hands-on exercises with programming software (R and RStudio).
Introduction to the basic analytics techniques and applications in health care and overview of the state of practice of the health care analytics ecosystem.
Use of information and digital technologies to restructure organizations and business processes and survive and thrive in an intensively digitized business world.
Seminar for doctoral students interested in information systems. Various philosophical traditions and insights from those traditions applied to problems in information systems.
For information systems doctoral students. Seminal papers and leading methods and instruments as applied to MIS research.
Research problems and issues related to student dissertations form topics for readings, group discussions, and assigned papers.
Philosophy of science as applied to research in administration. Topics include the nature and current problems of epistemology, the development and role of theories, and the relationship between theory, methodology, and empirical data.
Use of models and theoretical frameworks in research; formulation of research questions, hypotheses, operational definitions, research designs, sampling and data analysis approaches. For doctoral candidates who have completed the general examination and all courses and are preparing for their dissertation.
Current research and scholarly issues in management science.
May be repeated for credit. Restricted to doctoral candidates preparing for the general examination.
Limited to doctoral candidates. May be repeated for credit.
- Undergraduate Programs
- Specialized Master's
- Master of Accountancy
- MS in Applied Finance
- MS in Business Analytics
- MS in Finance
- MS in Government Contracts
- Master of Human Resource Management
- MS in Information Systems Technology
- Master of Interdisciplinary Business Studies
- MS in International Business
- Master in Management
- MS in Project Management
- MS in Sport Management
- Master of Tourism Administration
- Executive Education
- Doctoral Programs
- Certificate Programs
- Online Programs
- Global & Experiential Education
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