Exploration of a topic (to be determined) not covered by the standard curriculum but of interest to faculty and students in a particular semester.

International Course

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.

Exploration of a topic (to be determined) not covered by the standard curriculum but of interest to faculty and students in a particular semester.

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.

Lifecycle stages of infrastructure projects. Needs assessment, feasibility analysis, project delivery, public budgeting, project financing, risk allocation, urban design, permitting and zoning, sustainability criteria, project detailed design, construction management and troubleshooting, asset management, and disaster-response infrastructure.

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.

Exploration of a topic (to be determined) not covered by the standard curriculum but of interest to faculty and students in a particular semester.

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.

Completion of an Honors Capstone Project under the supervision of a faculty member.

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.