BIA 253. Management Information Systems. 3 credits. FA, SP, SU

An introduction to the field of management information systems and business intelligence and analytics, and their role in today's organizations. The course focuses on key concepts including fundamental enabling technologies, database, software development, decision support and knowledge work-support systems as well as MIS systems for operations, control, and strategic planning. The organizational foundations of systems, their strategic role, and the technologies driving change in the business processes will be discussed. P: Sophomore standing.

BIA 261. Business Analytics. 4 credits. FA, SP, SU

Students develop and apply understanding of fundamental multivariate statistical methods through which organizations can use data to gain insights and make better decisions. Throughout the course, students will learn and practice skills of data presentation and storytelling that contribute to decision-making in a business context. Topics include multiple regression, time series analysis, and data preparation. P: MTH 161; and either MTH 141, MTH 231, MTH 245, or MTH 246.

BIA 330. Production and Operations Management. 3 credits. FA, SP

Course considers production and operations as a major functional area of business and stresses the management of the production and operations function. Where appropriate, quantitative topics are presented, and solution techniques introduced to achieve a balanced view. P: BIA 261 and Jr. standing.

BIA 350. Systems Analysis and Design. 3 credits. FA, SP

This course will provide a study of the information systems development life cycle with emphasis on the planning, analysis, and design phases of systems development. Feasibility analysis, requirements determination, requirements structuring, logical and physical design, and implementation planning will be addressed. The course will explore the various methodologies, techniques, tools, and models used by systems analysts, including process modeling, data modeling, and designing the user interface. P: BIA 253.

BIA 354. Data and Information Management. 3 credits. FA, SP

Course develops both skill and knowledge relative to data base design and management. P: BIA 253.

BIA 366. Business Intelligence and Analytics Internship. 3 credits. FA, SP, SU (Same as ACC/BUS/ECO/ENT/FIN/MGT/MKT 366)

This course is designed to award credit to students for major-related significant practical business experience. A qualifying internship should allow students to apply higher-level concepts and technical skills learned in the classroom to real work settings, and must be secured before a student registers for the class. Students must work 150 hours during a semester and complete all online course requirements, including readings, discussions, a performance evaluation from their supervisor and a paper that reflects upon their achievements. The course is graded on a satisfactory/unsatisfactory basis and only 3 hours of internship credit may be used to satisfy graduation requirements. P: BIA 253, BIA 261; CR: Open to Business Intelligence & Analytics majors only; Sophomore stdg.; IC.

BIA 375. Business Application Development. 3 credits. FA, SP

This course uses mobile application development as the platform for building problem-solving skills and computational thinking essential in modern business. Students learn how to decompose problems, design algorithms, and work with key technologies such as Application Programming Interfaces (APIs), Javascript, JSON and other emerging technologies. Through practical exercises, the course develops a clear understanding of how information flows through digital systems and how new technologies can be applied to real business challenges. P: BIA 354 or IC.

BIA 385. Python Programming for Data Analytics. 3 credits. FA, SP

This course provides an introduction to coding and logical programming thinking using Python. Several Python data analytics libraries, including Pandas, NumPy, Seaborn, and MatPlitLib will be introduced. P: CSC 121 and BIA 253, or IC.

BIA 450. Blockchain. 3 credits. FA, SP

Blockchain is the underlying technology supporting cryptocurrencies like Bitcoin, Ripple, and Ethereum, but its applications go beyond cryptocurrencies. This course provides a study of how blockchain technology works and considers its potential disruptive impact on business and society. P: BIA 253, FIN 301.

BIA 472. Visual Analytics and Visualization. 3 credits. FA

The general field of visualization focuses on transformations of data to visual representations in order to take advantage of human cognitive capabilities to more efficiently and effectively understand the story being told by the data. Specifically, visual analytics, an advanced form of visualization, is used to understand complex and large-scale data. In this course, students will be introduced to the fundamentals of visualization and the related user experience in producing and interpreting visualizations of business data. Student will also learn to use selected visual analytic tool(s) to conduct various types of analyses. P:BIA 261 and BIA 354, or instructor consent.

BIA 476. Cybersecurity. 3 credits. SP

This course will provide students with a solid technical understanding of cybersecurity or computer security. Students will gain an understanding of security concepts and explore a variety of technical tools that cover a wide range of security topics including governance, network security, database security, application security, cryptography, access controls, and incident and disaster response. P: BIA 354 or IC.

BIA 479. Seminar in Decision and Information Technology. 1-3 credits. OD

The integration and application of current topics in business intelligence and analytics in the current business environment. The focus of the course and content will change as relevant topics are determined to stay relevant to present issues. This course is repeatable as long as topic differs up to 12 credit hours. P: BIA 253; CR: Sr. stdg.

BIA 484. Machine Learning. 3 credits. FA, SP

The purpose of this course is to develop understanding of machine learning techniques and deal with the issue of extracting information and knowledge from large data sets. The extracted knowledge is subsequently used to support human decision-making with respect to summarization, prediction, and the explanation of observed phenomena (e.g., patterns, trends, and customer behavior). Machine learning techniques such as logistic regression, decision, trees, and neural networks can be used to discover relationships and patterns that shed light on business problems. This course will examine methods and statistical tools for mining massive amounts of data for new and useful information, uncovering factors that affect purchasing patterns, and identifying potential profitable investments and opportunities. P: BIA 253 and (BUS 229 or BIA 261).

BIA 485. Applications of Artificial Intelligence in Business. 3 credits.

This course is designed to provide students with a foundation in AI concepts/models as used in business analytics. AI, while not a new field, is of increasing interest to businesses due to its predictive ability. Topics covered include artificial intelligence approaches to prediction, classification, clustering, and emerging topics. P: BIA 385, BIA 484.

BIA 490. Business Intelligence and Analytics Capstone. 3 credits. FA, SP

The Business Intelligence and Analytics major encompasses a broad array of skills. This course is designed to culminate all available BIA tracks through a group-based real-world project. Students will work with a partner organization to provide need-based solutions that use data and technology to solve a problem and improve decision-making. P: BIA 350, BIA 354, BIA 385 and Sr. standing.

BIA 491. The Technology World: A Campus and Travel Course. 3 credits. OD (Same as MKT 491)

This course is designed to provide a capstone travel experience in which students make on-site visits to a variety of organizations known for their business leadership and innovative practice in the field of business intelligence and analytics. The overall aim is to complement a student's campus-based study of business technology concepts, processes, and activities - as well as exemplar organizations. The course typically includes approximately 15 hours of on-campus study prior to and after the travel portion of the course. The travel portion of the course may involve various destinations. A student in the Heider College of Business may only count up to six credit hours of travel courses toward their 128 credit hour program of study. P: BIA 253; CR: Sr. stdg., BIA major, IC.

BIA 492. Practicum in International Development. 3 credits. FA (Same as ECO/ENT 492)

This interdisciplinary, service-learning course focuses on the deployment of educational technology and the development of entrepreneurial projects with a variety of partners in less economically developed countries. Students will enhance discipline-specific knowledge through their engagement with interdisciplinary teams and will travel to multiple sites in the country to train teachers on the use of educational technology and develop entrepreneurial projects with community leaders. Students will also examine the cultural and economic realities of life in rural areas of the country and utilize feedback, dialogue, and surveys from community visits to promote both a reflection on the experience, and a proposal of projects for future Practicum participants. P: BIA 253; Junior standing.

BIA 493. Directed Independent Readings. 1-3 credits. OD

This is a directed readings course that investigates current developments in management information systems. The course permits individual students to pursue areas of interest within the field of management information systems in greater depth than is covered in the normal curriculum. It also permits a student to do independent research on a specialized topic not ordinarily treated in regular course offerings P: QPA of 3.0 or better; senior standing; department consent and Dean's approval.

BIA 497. Directed Independent Research. 1-3 credits. OD

Supervised independent research on topics beyond the regular course coverage. Course is limited to students who have a QPA or 3.0 or better. P: Senior standing; department consent and Dean's approval.

BIA 499. Practicum in Business Intelligence & Analytics. 1 credit. FA, SP

This course is designed to provide students with practical understanding and exposure to business applicability of concepts, methods and techniques in BIA. Students attend lectures and seminars, visit businesses, and participate in dialogues with business leaders to further their understanding of BIA. Students keep a journal of their reflective thoughts after attending lectures, discussions, and interactions with industry representatives. This course is graded satisfactory/unsatisfactory. This course can only be taken once for credit and cannot be repeated. P: At least one BIA course at 300 level or above, instructor consent.