Global immersion in international business exploring a nation's political, social, cultural environment, market research, entry opportunities, and investment climate.
Reading and research in International Business. Individual work suited to the needs of undergraduate students may be arranged both during regular sessions and the intersession periods.
Global business management course covering why organizations go global, CAGE analysis, risk mitigation, CSR, labor codes, workforce management, and expatriate roles across Asia, Africa, South America, and Europe.
A Global Learning Experience course where students visit host countries to discuss and experience key business issues, integrating MBA coursework to improve global competence.
Business in the Global Economy explores forces driving the global economy and issues in international business strategy, covering globalization history, market dynamics, and cross-cultural management.
Introduction to International Studies: An interdisciplinary examination of cultural, political, economic, and social patterns defining the modern world.
The class required extensive reading, and students noted that completing the assigned material was essential for understanding the lectures and succeeding on exams.
International Learning Community General Seminar promotes understanding of international and cross-cultural issues through collaborative learning among ILC members.
A language seminar promoting understanding of international and cross-cultural issues and related vocabulary in the target language, encouraging collaborative learning within the International Learning Community.
Assignments were student-driven, allowing learners to focus on topics that interested them. The instructor made it clear what students needed to remember despite occasional entertaining tangents.
Cooperative Education Program: Apply classroom theory and practical knowledge of engineering-related operations and functions in a professional setting through full-time workplace experience.
Introduction to industrial engineering subject matter, problem types, and design/analysis approaches with emphasis on formulation and design alternatives.
There were no exams or homework, only mandatory attendance and a group project. One student estimated the project took an hour, while another noted it was easy.
Introductory industrial statistics course covering probability, descriptive statistics, inference, and regression applied to engineering problems using Microsoft Excel.
Past student reviews · Amanda Smith, Hannah Silber
Weekly homework assignments and quizzes formed a substantial part of the workload, often covering current material. A group project required consistent effort, though criteria were clearly defined.
Covers fundamentals of data management and analysis for industrial engineers, including database strategies, preprocessing, visualization, and modeling using MySQL and R.
Homework was similar to in-class problems, and one student found it easy to get extra credit for attendance. Exam difficulty varied by review, with some finding them easy and others describing them as decently hard with little preparation guidance.
Engineering Economic Analysis covers financial accounting, cost systems, and the use of accounting reports for economic decision-making, including DCF, CVP, and capital budgeting.
Homeworks were straightforward and the group project was mostly graded on completion. Exams were open note, allowing students to refer to materials during testing.
Production Planning and Control covers techniques for designing inventory, production, quality, and project-planning systems, including computer applications.
The course project was described as really time-consuming. The textbook was essential for the final exam, and while lectures were tough to get through, discussion sections helped clarify practical application.
Simulation Modeling Laboratory involves computer exercises in random variables, queuing system spreadsheets, and simulation software, concluding with a project.
Operations Research-Deterministic Modeling covers basic techniques for modeling and optimizing deterministic systems with emphasis on linear programming, including computer solutions and applications to production, logistics, and service.
Students reported that homework took a long time and exams included difficult true and false questions. Success required understanding how to solve homework problems independently and attending lectures.
Introduction to Human Factors Engineering Laboratory provides hands-on experience applying ISYE/PSYCH 349 concepts through a three-part design project.
The reviewer found the hardest part was figuring out what to do, as directions were unclear, nonexistent, or posted twice with significant differences.