BA 24056 BUSINESS ANALYTICS I 3 Credit Hours
(Equivalent to BMRT 21004) Introduction to concepts in statistical methods and their applications to real world problems. Examines both the theoretical and practical side of the different methods.
Prerequisite: MATH 11010 or MATH 11012 or MATH 12002.
Schedule Type: Laboratory, Lecture, Combined Lecture and Lab
Contact Hours: 2 lecture, 2 lab
Grade Mode: Standard Letter
BA 34055 COMPUTER DECISION MODELING 3 Credit Hours
Introduces students to the scientific decision-making tools of operations research and management science, and also to the use of spreadsheet modeling for problem formulation and solution without the need for mathematics. The concepts of modeling and better decision making are stressed along with illustrations from the various functional areas of business. Course not open to computer information systems majors.
Prerequisite: CIS 24053 or IT 11000; and BA 24056 or MATH 10041 or BMRT 21004; and minimum 2.000 overall GPA.
Schedule Type: Lecture
Contact Hours: 3 lecture
Grade Mode: Standard Letter
BA 34059 SERVICE OPERATIONS MANAGEMENT 3 Credit Hours
Provide students with the concepts and tools necessary to effectively manage service operations and to prepare students for management opportunities in service firms that represent the fastest-growing sector of the economy. The service management will be presented from an integrated viewpoint with a focus on customer satisfaction. The course materials are organized around four modules (1) understanding services (2) designing the service enterprise, (3) managing service operations and (4) toward world class-service.
Prerequisite: BA 34060; and minimum 2.000 overall GPA.
Schedule Type: Lecture
Contact Hours: 3 lecture
Grade Mode: Standard Letter
BA 34060 OPERATIONS MANAGEMENT 3 Credit Hours
A survey course in operations management that covers the managerial concepts and the quantitative tools used in the design, planning operation and control of operations systems.
Prerequisite: CIS 24053 or IT 11000; and BA 24056 or MATH 10041 or BMRT 21004.
Schedule Type: Lecture
Contact Hours: 3 lecture
Grade Mode: Standard Letter
BA 34064 MANUFACTURING RESOURCE PLANNING 3 Credit Hours
Introduce students to the basic tools operations managers use to inform their decisions on a daily basis. The course involves hands-on coverage of manufacturing resource planning tools, including forecasting and master production schedules, bill of materials structuring, order entry and purchasing, capacity requirements planning, routing, costing, customer service, shipping, invoicing and using an enterprise resource planning (ERP) software.
Prerequisite: BA 34060; and minimum 2.500 overall GPA.
Schedule Type: Lecture
Contact Hours: 3 lecture
Grade Mode: Standard Letter
BA 34065 QUALITY ASSURANCE 3 Credit Hours
Introduction to importance of quality assurance and tools used to accomplish better quality in goods and services. Topics TQM, Six Sigma, quality philosophies, sampling plans and statistical process control, ISO, quality competition and awards.
Prerequisite: BA 34060; and minimum 2.000 overall GPA.
Schedule Type: Lecture
Contact Hours: 3 lecture
Grade Mode: Standard Letter
BA 34156 BUSINESS ANALYTICS II 3 Credit Hours
Course provides an introduction and application of business analytics to real-world problems. Students are exposed to methods and models that allows business users to make better decisions based on data. Discussed are methods for collecting, cleaning and visualizing data, linear, non-linear and optimization models to help decision makers choose the best decision, and some advanced forms of modeling. The goal of this course is for students to be exposed to essential topics in business analytics and to apply these techniques to real-world problems.
Prerequisite: BMRT 21004 or MATH 10041 or BA 24056.
Schedule Type: Lecture
Contact Hours: 3 lecture
Grade Mode: Standard Letter
BA 44011 SYSTEMS SIMULATION 3 Credit Hours
(Slashed with BA 54011) Techniques and applications of computer simulation of existing or proposed real-world systems. Use of simulation language, simulations studies, analysis and interpretation of results.
Prerequisite: BA 24056 or MATH 10041.
Schedule Type: Lecture
Contact Hours: 3 lecture
Grade Mode: Standard Letter
BA 44038 ANALYTICS IN PRACTICE 3 Credit Hours
Course focuses on supporting techniques and managerial and professional skills necessary to being an effective business analyst. Other topics include project management, requirements analysis, change management, team dynamics, leadership, ethics and effective communication between all stakeholders.
Prerequisite: BA 34156.
Schedule Type: Lecture
Contact Hours: 3 lecture
Grade Mode: Standard Letter
BA 44050 DATA VISUALIZATION 3 Credit Hours
(Slashed with BA 54050) Introduces students to data visualization, and specifically, how to use visualization to communicate information effectively from data. All aspects of effective data visualization, including understanding the context, choosing appropriate graphs and visuals, and communicating the information from data will be considered. While theoretical aspects of effective visualizations will be covered, the focus will be on implementing such designs. Concentrating significantly on the practice of effective visualizations.
Prerequisite: BA 24056 or MATH 10041; and senior standing.
Schedule Type: Lecture
Contact Hours: 3 lecture
Grade Mode: Standard Letter
BA 44051 MACHINE LEARNING 3 Credit Hours
Machine Learning is one of the required courses for the Bachelor of Business Analytics (BANA) program. In this course, students learn the fundamentals of machine learning as applied to business problems. Specifically, the course concentrates on regression and classification methods, including regression, random forests, boosting trees, and neural networks, on unsupervised learning including k-means and hierarchical clustering, and on recommendation systems, and ensemble learning.
Prerequisite: BA 34156; and senior standing.
Schedule Type: Lecture
Contact Hours: 3 lecture
Grade Mode: Standard Letter
BA 44052 TEXT ANALYSIS AND NATURAL LANGUAGE PROCESSING 3 Credit Hours
(Slashed with BA 54052) Course is designed to provide students with a comprehensive understanding of how to analyze unstructured text data for actionable business insights. The course explores essential techniques in text analytics, ranging from basic Natural Language Processing (NLP) to advanced machine learning and deep learning models. The curriculum covers a variety of topics such as sentiment analysis, text classification, and feature engineering, along with cutting-edge methodologies like topic modeling and transformer models. Furthermore, the course delves into real-world applications of text analytics in various industries, including healthcare, finance and retail. Students will also examine the ethical considerations related to data privacy and bias in text analytics.
Prerequisite: BA 34156.
Schedule Type: Lecture
Contact Hours: 3 lecture
Grade Mode: Standard Letter
BA 44061 OPERATIONS MANAGEMENT AND CONTROL 3 Credit Hours
Introduces the student to the key functions of an operations planning and control system. Operations planning and control systems provide information for the efficient flow of materials, the effective utilization of people and equipment and the proper coordination of internal activities with suppliers and customers.
Prerequisite: Minimum 2.000 overall GPA.
Schedule Type: Lecture
Contact Hours: 3 lecture
Grade Mode: Standard Letter
BA 44062 SUPPLY CHAIN MANAGEMENT 3 Credit Hours
Students learn the basic analytical tools needed to coordinate business operations across the value chain. Course involves hands-on coverage of supply chain management with emphasis on supplier partnering and development, customer relations management, strategic sourcing and pricing, e-business, measuring supply chain performance, mass customization, planning supply and demand coordination in the supply chain.
Prerequisite: Minimum 2.000 overall GPA; and junior standing.
Schedule Type: Lecture
Contact Hours: 3 lecture
Grade Mode: Standard Letter
BA 44065 STRATEGIES IN PRODUCTION AND OPERATIONS MANAGEMENT (WIC) 3 Credit Hours
Senior project in industrial management. Applies concepts from all prior coursework to the solution of real and simulated operating problems.
Prerequisite: Minimum 2.000 overall GPA.
Schedule Type: Lecture
Contact Hours: 3 lecture
Grade Mode: Standard Letter
Attributes: Writing Intensive Course
BA 44092 INTERNSHIP IN BUSINESS ANALYTICS (ELR) 3 Credit Hours
(Repeatable for credit) A supervised field experience at a cooperating organization. Requires regular contact with instructor and preparation of an internship report connecting academic coursework to on-the-job experiences.
Prerequisite: BA 34156.
Schedule Type: Practical Experience
Contact Hours: 9 other
Grade Mode: Standard Letter
Attributes: Experiential Learning Requirement
BA 44099 CAPSTONE IN BUSINESS ANALYTICS (ELR) (WIC) 3 Credit Hours
In this culminating project, students draw on the breadth and depth of the curriculum to address an industry supplied problem individually or in small teams. Specifically, students will improve, and present their solutions to their respective stakeholders, who will grade your final presentation and report.
Prerequisite: BA 44051; and senior standing.
Pre/corequisite: BA 44050.
Schedule Type: Lecture, Project or Capstone
Contact Hours: 3 lecture
Grade Mode: Standard Letter
Attributes: Experiential Learning Requirement, Writing Intensive Course
BA 44152 PROJECT MANAGEMENT 3 Credit Hours
This course covers the fundamental concepts, procedures and processes related to managing projects from initiation through planning, execution and closing. It also introduces the principles, tools and methods used in project management, and the use of project management software (ProjectLibre) in managing projects. The topics covered in the course can be helpful in preparing for Project Management Professional (PMP) certification.
Prerequisite: Minimum 2.000 overall GPA; and junior standing.
Schedule Type: Lecture
Contact Hours: 3 lecture
Grade Mode: Standard Letter
BA 54038 ANALYTICS IN PRACTICE 3 Credit Hours
Course focuses on supporting techniques and managerial and professional skills necessary to being an effective business analyst. Other topics include project management, requirements analysis, change management, team dynamics, leadership, ethics and effective communication between all stakeholders.
Prerequisite: Graduate standing.
Schedule Type: Lecture
Contact Hours: 3 lecture
Grade Mode: Standard Letter
BA 54050 DATA VISUALIZATION 3 Credit Hours
(Slashed with BA 44050) Introduces students to data visualization, and specifically, how to use visualization to communicate information effectively from data. All aspects of effective data visualization, including understanding the context, choosing appropriate graphs and visuals, and communicating the information from data will be considered. While theoretical aspects of effective visualizations will be covered, the focus will be on implementing such designs. Concentrating significantly on the practice of effective visualizations.
Prerequisite: Graduate standing.
Schedule Type: Lecture
Contact Hours: 3 lecture
Grade Mode: Standard Letter
BA 54052 TEXT ANALYSIS AND NATURAL LANGUAGE PROCESSING 3 Credit Hours
(Slashed with BA 44052) Course is designed to provide students with a comprehensive understanding of how to analyze unstructured text data for actionable business insights. The course explores essential techniques in text analytics, ranging from basic Natural Language Processing (NLP) to advanced machine learning and deep learning models. The curriculum covers a variety of topics such as sentiment analysis, text classification, and feature engineering, along with cutting-edge methodologies like topic modeling and transformer models. Furthermore, the course delves into real-world applications of text analytics in various industries, including healthcare, finance and retail. Students will also examine the ethical considerations related to data privacy and bias in text analytics.
Prerequisite: Graduate Standing.
Schedule Type: Lecture
Contact Hours: 3 lecture
Grade Mode: Standard Letter
BA 64005 ANALYTICS FOR DECISION MAKING 2 Credit Hours
Course uses computer capabilities to analyze and understand a variety of statistical and business analytics techniques and how to apply these techniques to solving business problems.
Prerequisite: Graduate standing.
Schedule Type: Lecture
Contact Hours: 2 lecture
Grade Mode: Standard Letter
BA 64018 QUANTITATIVE MANAGEMENT MODELING 3 Credit Hours
A variety of optimization and heuristic modeling techniques are explored. Decision-making environments, model selection, and interpretation are emphasized. Various linear and nonlinear mathematical programming techniques are the primary topic but are supplemented with other optimization and heuristic techniques.
Prerequisite: Graduate standing.
Schedule Type: Lecture
Contact Hours: 3 lecture
Grade Mode: Standard Letter
BA 64026 SUPPLY CHAIN MANAGEMENT 2 Credit Hours
Introduces the knowledge base needed to coordinate business operations across firms' supply chains. Addresses how to integrate traditional business operations to align them in support of inter-firm collaboration required to compete globally. It covers specific topics relevant to supply chain management and offers a managerial orientation towards supporting supply chain operations. It immerses students into responsible operations and supply chain best practices.
Prerequisite: Graduate standing.
Schedule Type: Lecture
Contact Hours: 2 lecture
Grade Mode: Standard Letter
BA 64036 BUSINESS ANALYTICS 3 Credit Hours
Overview of business analytics and its appropriate applications in various industries and functional areas. Critical thinking, problem definition, problem solving, effective communication, and leadership are emphasized. Methods such as data visualization and descriptive, predictive, and prescriptive analytics are covered from a broad perspective. This course is applied, hands-on, and case-based. Cases emphasize the communication of quantitative solutions to laypeople and required leadership during decision-making and implementation stages.
Prerequisite: Graduate standing.
Schedule Type: Lecture
Contact Hours: 3 lecture
Grade Mode: Standard Letter
BA 64037 ADVANCED DATA MINING AND PREDICTIVE ANALYTICS 3 Credit Hours
Course extends the coverage of data mining and predictive analytics. Topics focus on the applied use of these techniques in realistic settings. Covers statistical and machine learning techniques.
Prerequisite: BA 64036 or BA 64060; and graduate standing.
Schedule Type: Lecture
Contact Hours: 3 lecture
Grade Mode: Standard Letter
BA 64060 FUNDAMENTALS OF MACHINE LEARNING 3 Credit Hours
(Slashed with BA 74060) In this course, students learn fundamentals of machine learning. Specifically, concentrating on classification modelling, segmentation and clustering and recommendation systems.
Prerequisite: Graduate standing.
Schedule Type: Lecture
Contact Hours: 3 lecture
Grade Mode: Standard Letter
BA 64061 ADVANCED MACHINE LEARNING 3 Credit Hours
Introduction to deep learning and time series data analysis. Students consider applications of deep learning to computer vision, text analysis and sequences, and time series data.
Prerequisite: BA 64060; and graduate standing.
Schedule Type: Lecture
Contact Hours: 3 lecture
Grade Mode: Standard Letter
BA 64082 DATABASE MANAGEMENT AND DATABASE ANALYTICS 3 Credit Hours
(Slashed with BA 74082) The design, implementation and management of database management systems within organizations are studied from an applied perspective. Additional emphases include data warehousing, structured query language for analytics and introductions to NoSQL databases and big data analytics.
Prerequisite: Graduate standing.
Schedule Type: Lecture
Contact Hours: 3 lecture
Grade Mode: Standard Letter
BA 64092 INTERNSHIP IN BUSINESS ANALYTICS 3 Credit Hours
(Repeatable for credit) A supervised field experience at a cooperating organization. Requires regular contact with instructor and preparation of an internship report connecting academic coursework to on-the-job experiences.
Prerequisite: Graduate standing.
Schedule Type: Practical Experience
Contact Hours: 9 other
Grade Mode: Standard Letter
BA 64099 CAPSTONE PROJECT IN BUSINESS ANALYTICS 3 Credit Hours
(Repeatable for credit) In this culminating project, students draw on the breadth and depth of the curriculum to address an industry supplied problem individually or in small teams. Projects will explore prescriptive analytics as is appropriate to their design project.
Prerequisite: BA 64036 or BA 64060; and graduate standing.
Schedule Type: Project or Capstone
Contact Hours: 3 other
Grade Mode: Standard Letter-IP
BA 74037 ADVANCED DATA MINING AND PREDICTIVE ANALYTICS 3 Credit Hours
(Slashed with BA 64037) Course extends the coverage of data mining and predictive analytics. Topics focus on the applied use of these techniques in realistic settings. Covers statistical and machine learning techniques.
Prerequisite: Doctoral standing.
Schedule Type: Lecture
Contact Hours: 3 lecture
Grade Mode: Standard Letter
BA 74060 FUNDAMENTALS OF MACHINE LEARNING 3 Credit Hours
(Slashed with BA 64060) In this course, students learn fundamentals of machine learning. Specifically, concentrating on classification modelling, segmentation and clustering and recommendation systems.
Prerequisite: Graduate standing.
Schedule Type: Lecture
Contact Hours: 3 lecture
Grade Mode: Standard Letter
BA 74061 ADVANCED MACHINE LEARNING 3 Credit Hours
(Slashed with BA 64061) Introduction to deep learning and time series data analysis. Students consider applications of deep learning to computer vision, text analysis and sequences and time series data.
Prerequisite: Doctoral standing.
Schedule Type: Lecture
Contact Hours: 3 lecture
Grade Mode: Standard Letter
BA 74082 DATABASE MANAGEMENT AND DATABASE ANALYTICS 3 Credit Hours
(Slashed with BA 64082) The design, implementation and management of database management systems within organizations are studied from an applied perspective. Additional emphases include data warehousing, structured query language for analytics and introductions to NoSQL databases and big data analytics.
Prerequisite: Doctoral standing.
Schedule Type: Lecture
Contact Hours: 3 lecture
Grade Mode: Standard Letter