Old Dominion University Undergraduate Catalog 2025-2026 374
- Subject
- BNAL
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2025-2026-undergraduate
- Source
- catalog.odu.edu
33 courses with the subject BNAL, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
Old Dominion University Undergraduate Catalog 2025-2026 374
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Approval for enrollment and allowable credits are determined by the department. Additional support may be provided by the Monarch Internship and Co-Op Office in the semester prior to enrollment. permission of the Dean's Office
Approval for enrollment and allowable credits are determined by the department. Additional support may be provided by the Monarch Internship and Co-Op Office in the semester prior to enrollment. permission of the Dean's Office Old Dominion University Undergraduate Catalog 2025-2026 824
Approval for enrollment and allowable credits are determined by the department in the semester prior to enrollment; additional support may be provided by the Monarch Internship and Co-Op Office in the semester prior to enrollment. Student participation in a professional work experience. Qualifies as a CAP experience. University or permission of the Dean's Office
This course introduces students to concepts and processes, technologies, and methodologies that are commonly used in data visualization that an organization may use to enhance its descriptive, predictive, and prescriptive methods for making fact-based decisions. instructor
3 Decision Making 3 BNAL 432 Predictive Analytics for Business 3 BNAL 495 Topics in Business Analytics 3 ECON 400 From Correlation to Causation: Applied 3 Causal Inference 3 ECON 425 Introduction to Mathematical Economics 3 FIN 431 Investments 3 INBU 450 Global Business 3 IT 363 Systems Analysis and Design 3 MGMT 430 Compensation Management 3 MKTG 475 Marketing Analytics
This course provides a foundational understanding of probability and statistics in a business context. Students learn to analyze data, make informed decisions, and solve business problems using statistical techniques. Topics include sampling distributions, confidence intervals, hypothesis testing, simple and multiple regressions, and time series forecasting. Emphasis is placed on the application of the tools to business problems.
Predictive analytics techniques for business. Applications include both shorter term forecasting for sales and operations management as well as forecasting for long term planning. Emphasis is on statistical methods to obtain and evaluate forecasts. Statistical models are implemented using standard software such as MINITAB, EXCEL, R, and/or Python. permission of the Dean's Office 825 BUSN - Business Administration
Analysis for Business Systems Major Elective from Category II 200-400 Level Business Elective 300-400 Level Business Elective Upper-Division General Education
Category II-Select one of the following: 3 3 ACCT 450 International and Advanced Accounting 3 ECON 450 International Economics 3 FIN 435 International Financial Management 3 IT 425 Information Systems for International 3 Business 3 MGMT 361 International Business Operations 3 MGMT 462 Comparative International Management 3 MGMT 463 Management Seminar Abroad 3 MKTG 411 Multi-National Marketing 3 MSCM 370 International Shipping 3 Total Credit Hours 120-126 3 + Not required for students pursuing the IT major or 3 for any student with an associate's degree in business administration or with a prior bachelor's degree in business administration. 2 * Business Analytics and Intelligence majors who take IT 363 are exempt from taking IT 360T in the core. All major courses except the international course are included when calculating the student's grade point average in the major. Old Dominion University Undergraduate Catalog 2025-2026 422
Affords students the opportunity to undertake independent study under the direction of a faculty member. BUSN - Business Administration
This course introduces students to concepts and processes, technologies, and methodologies that are commonly used in data visualization that an organization may use to enhance its descriptive, predictive, and prescriptive methods for making fact-based decisions. or instructor's permission
This course provides a foundational understanding of probability and statistics in a business context. Students learn to analyze data, make informed decisions, and solve business problems using statistical techniques. Topics include sampling distributions, confidence intervals, hypothesis testing, simple and multiple regressions, and time series forecasting. Emphasis is placed on the application of the tools to business problems. program office
Predictive analytics techniques for business. Applications include both shorter term forecasting for sales and operations management as well as forecasting for long term planning. Emphasis is on statistical methods to obtain and evaluate forecasts. Statistical models are implemented using t standard software such as MINITAB, EXCEL, R, and/or Python. instructor
This course explores the intersection of intelligent systems and business analytics. Students gain insights into leveraging artificial intelligence and data analysis techniques to drive informed decision-making and solve complex business problems. Topics include descriptive analytics, predictive analytics, prescriptive analytics, AI, machine learning, and real-world case studies in various industries.
Approval for enrollment and allowable credits are determined by the department. Additional support may be provided by the Monarch Internship and Co-Op Office in the semester prior to enrollment.
Approval for enrollment and allowable credits are determined by the department. Additional support may be provided by the Monarch Internship and Co-Op Office in the semester prior to enrollment.
Advanced topics in business analytics offered periodically. director
Affords students the opportunity to undertake independent study under the direction of a faculty member.
or BNAL 503 BNAL 515 Data Visualization and Exploration Advanced Business Analytics/Big Data 3
This course introduces the fundamentals of multilevel modeling. Alternative methods of analysis are discussed and critiqued. Use of specialized multilevel modeling software is demonstrated. Topics include a detailed discussion of the issues associated with variable centering. Applications to business research investigations are emphasized.
Supply Chain Systems * Select two of the following:
This course will explore both the conceptual and technical aspects of agent- based simulation, particularly as utilized for modeling of business systems. Students will explore the roots and literature of agent-based modeling and related fields. Students will also learn to develop agent-based simulation models using a major commercial simulation package. BNAL 576 or BNAL 721 or BNAL 821
The advanced study of selected topics not offered on a regular basis.
Systems (3 Credit Hours) This course covers both the theory and application of simulation modeling and analysis to business, supply chain, and logistics systems. Both discrete- event and continuous simulation modeling approaches are covered, using a major commercial simulation package. Emphasis will be on the use of simulation as a tool to support business, supply chain, and logistics decision making. BNAL 576 or BNAL 722 or BNAL 822, or permission of the instructor or department
This course will explore both the conceptual and technical aspects of agent- based simulation, particularly as utilized for modeling of business systems. Students will explore the roots and literature of agent-based modeling and related fields. Students will also learn to develop agent-based simulation models using a major commercial simulation package. BNAL 576 or BNAL 721 or BNAL 821 BP - Biomedical Research (MS &
Source: Eastern Virginia Medical School's catalog, linked per course · table learning_unit · CourseShelf publish 59