44 courses with the subject BUA, 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.
BUA 100Selected Topics1-6
Exploration of a topic (to be determined) not covered by the standard curriculum but of interest to faculty and students in a particular semester.
Business fundamentals taught through the operation of a fictional company. Multiple professors teach how the principles of accounting, finance, management, entrepreneurship, marketing, supply chain, retail and law work together within the business.
Advanced business fundamentals taught through the operation of a fictional company. Multiple professors teach how accounting, finance, management, entrepreneurship, marketing, supply chain, retail and law work together for a deeper understanding of the business.
Participation in a discipline- or subject-related experience. Students must be evaluated by written or oral reports or an examination. Limited to those in good academic standing.
Interdisciplinary view of urban infrastructure. Resilience, sustainability, economic and community impacts, finance, infrastructure development in the global economy, and smart cities.
Offered through SUAbroad by educational institution outside the United States. Student registers for the course at the foreign institution and is graded according to that institution's practice. SUAbroad works with the S.U. academic department to assign the appropriate course level, title, and grade for the student's transcript.
Exploration of a problem, or problems, in depth. Individual independent study upon a plan submitted by the student. Admission by consent of supervising instructor(s) and the department.
BUA 345Business Analytics for Management Decisions3
Introduction to business analytics and statistical techniques used by managers to make decisions. Topics include defining business problems, identifying data needs to solve defined problems, and using information technologies to collect, analyze, and communicate findings.
Review and integration of fundamental principles of infrastructure systems including smart city applications. Hands-on infrastructure design projects allow student teams to demonstrate competency in applying concepts and tools introduced in prerequisite courses.
Offered through SUAbroad by educational institution outside the United States. Student registers for the course at the foreign institution and is graded according to that institution's practice. SUAbroad works with the S.U. academic department to assign the appropriate course level, title, and grade for the student's transcript.
Introduces students to advance concepts in business analytics. Students will utilize the concepts they learn in class in a semester long individual project where they work with a large dataset (100k+ rows) to explore, prepare, form hypotheses that have managerial implications, statistically test them, and interpret results.
This course will provide insights into how to understand networks both graphically and analytically; how to model network data and glean useful information from networks to further business goals. Students will be using R and Python along with additional data visualization platforms.
This course will provide a fundamental knowledge of data management including how to visualize, store, and present data and how to use software scripts so that tasks can be done efficiently and reproduced with consistency. Students will be using statistics, data management, and coding software.
The course will examine how data mining methods and data-driven predictive models can help improve business decision-making. Data mining techniques covered: classification, clustering, association analysis, and optimization.
Participation in a discipline- or subject-related experience. Students must be evaluated by written or oral reports or an examination. Limited to those in good academic standing.
Experiential learning opportunity that will apply knowledge and skills acquired in the classroom to external business projects, working directly with an external client. Students must apply and be accepted before registering.
Learn to connect, clean, transform, and analyze data for reporting and visualization. Using R, Tableau Desktop, and Power BI, explore visual design principles and best practices to build compelling data visualizations that tell a story through hands-on projects.
Offered through SUAbroad by educational institution outside the United States. Student registers for the course at the foreign institution and is graded according to that institution's practice. SUAbroad works with the S.U. academic department to assign the appropriate course level, title, and grade for the student's transcript.
Machine learning techniques used in managerial decision-making. Topics include quantile regression, artificial neural network models, convolutional neural network models for pattern recognition with current software, Naïve Bayes classifier for applications such as spam detection.
Exploration of a problem, or problems, in depth. Individual independent study upon a plan submitted by the student. Admission by consent of supervising instructor(s) and the department.
BUA 555World Business Systems: Trade and Investments3
International business environment. Pattern and distribution of trade, exchange rates, International Monetary System, new international economic order, impact of the multinational firm on the world economy.
Cross-national comparison of personnel- and industrial- relations practices and selection, training, and compensation theory and practice associated with managing expatriate employees.
BUA 650Managing Sustainability: Purpose, Principles, and Practice3
Dynamics and interdependence of economic, social, and environmental systems. Sustainable management frameworks, tools, and metrics. Local, national, and international implications. Relevance of technology, ethics, law, and policy. Interdisciplinary emphasis.
BUA 651Strategic Management and the Natural Environment3
Sustainability from firm perspective. Regulatory, international, resource, market, and social drivers of environmental strategy. Impact of sustainability-related strategies on competitive advantage and potential liability.
Participation in a discipline- or subject-related experience. Evaluation by written or oral reports or an examination. Prereq: permission of the department, assigned instructor, and dean. Limited to those in good academic standing.
Experiential learning opportunity that will apply knowledge and skills acquired in the classroom to external business projects, working directly with an external client. Students must apply and be accepted before registering.
Exploration of a problem or problems in depth. Individual independent study upon a plan submitted by the student. Admission by consent of supervising instructor or instructors and the department.
This course will cover several special topics in the application of machine learning tools. These machine learning tools can include perceptrons, support vector machines, neural networks, deep learning, decision trees, random forests, k-nearest neighbors, and k-means clustering.
CAS in Sustainable Enterprise capstone. Sustainable approaches to complex organizational challenges, opportunities: organizational, industry, stakeholder analysis, sustainability objectives, strategies, and metrics. Multidisciplinary team consulting project.
Courses in individual subject areas are integrated and related to the total resource and general management problems of the Army. Management job of the commander at various levels in the Army organization. Policy making and administration from an overall management point of view with respect to each organization under study. Methods whereby the comptroller, as a member of the staff, can and should assist the commander in the solution of command problems.
Courses in individual subject areas are integrated and related to the total resource and general management problems of the Army. Management job of the commander at various levels in the Army organization. Policy making and administration from an overall management point of view with respect to each organization under study. Methods whereby the comptroller, as a member of the staff, can and should assist the commander in the solution of command problems.
Exploration of a problem, or problems, in depth. Individual independent study upon a plan submitted by the student. Admission by consent of supervising instructor(s) and the department.
Research project in any selected area; may be area of concentration. Results of research are prepared and presented under supervision of the faculty advisor.
Quantitative business research techniques for surveys, experiments and archival data analysis including model building, cross sectional and longitudinal models, simultaneous equations, choice models, structural equation modeling, hierarchical linear models, ANOVA, conjoint analysis and survival analysis.
Exploration of a problem, or problems, in depth. Individual independent study upon a plan submitted by the student. Admission by consent of supervising instructor(s) and the department.
