In this application-based course, students investigate the role of research in the marketing decision making process. Topics include designing, conducting, and evaluating primary and secondary research using quantitative and qualitative methodologies. Prerequisite: 351.
In a project-based environment, students will learn how to leverage social media platforms to connect with target audiences to build brand awareness, create and distribute valuable, relevant, and consistent content to attract and retain a clearly defined audience - and ultimately to drive profitable customer action. Prerequisite: 351.
Diversity and inclusion are critical elements of every recruitment and retention strategy in the workplace. In addition to being a social, ethical, and moral responsibility, diversity and inclusion provide many benefits for organizations. In this course, students will build knowledge and skills needed to be advocates for cultural competency and explore strategies to create a diverse workforce and inclusive culture, which will lead to employee engagement and productivity.
This course analyzes operating decisions commonly encountered in the production process. This course is a study of quantitative scientific management techniques, including decision tree analysis and linear programming, with a strong orientation towards application. Topics include forecasting, inventory planning, aggregate planning and scheduling, plant layout, quality improvement, waste reduction, methods analysis, and work measurement. Case studies and projects are employed to provide practical applications of the topics discussed. Prerequisite: MATH 270.
An integrative course stressing the holistic view of organization leadership and management. A study and application of the techniques used to complete strategic audits of industries and companies to assess complex business problems and opportunities and to develop, implement, and control strategies to achieve organizational objectives. Prerequisite: FINA 331 or HMGT 340 or SPML 330. Restricted to students with senior standing.
Courses on topics of interest to business students offered on the basis of need, interest, or timeliness. Prerequisites as determined by instructor. Restricted to students with junior standing or higher. May be repeated for credit. For specific section description, click on the Section Details in VitNet.
Experiential Learning: Internship (12 Credits) Non-classroom experiences in the field of business. Placements are generally off-campus, and may be full-or part-time, and with or without pay. Credit for experiences must be sought prior to occurrence, and learning contracts must be submitted before the end of the first week of the semester. A maximum of 15 credits of 287/487 can be used to meet graduation requirements. See the experiential learning: internship section of this catalog for details. Restricted to students with junior standing or higher. May be repeated for credit. Graded CR/NC.
Individual and independent reading, research, and writing under the guidance of a School of Business faculty member. Refer to the academic policy section for independent study policy. A written learning contract must be on file in the Office of the Registrar by the end of the first week of classes in the semester in which the course is taken. The contract must provide details of the topic, learning objectives, methods to be used, works to be completed, completion dates, grading criteria, and a prospective bibliography.
This course focuses on conducting business on a global level. Students will evaluate the history and dynamics of global industries, global competition, and global strategies and examine topics such as international cooperation among nations, national trade policies, international marketing, technology, as well as the ethical and social responsibility challenges of global businesses. The roles of various stakeholders including the international institutions, such as World Trade Organization, will be analyzed.
Data analytics-the art and science of using data to solve problems and make decisions-has become an important strategic tool across all industries and organizations. In this course, students will apply a variety of statistical methods to analyze existing data sets from business and sports, among other areas. The course will focus on practical, real-world applications of data analytics. Students will be introduced to data management and statistical programming using the R programming language and environment, although no prior experience with syntax or programming is needed.