The focus of this course is on the application of quantitative analysis techniques to strategic business decision making. The course is designed to support the integration experience and includes an introduction to production and service operations. Specific business modeling applications include: forecasting, decision analysis, linear programming, and project management. These quantitative decision support techniques assist managerial decision making in the dynamic and highly competitive world of business, including applications to finance, marketing, engineering, manufacturing, quality, customer service and human resources problems in such industries as health care, aerospace, high technology, entertainment, global business, and banking. Software technologies, spreadsheets and the Internet are used extensively throughout this course inside and outside the classroom.
Students will be expected to acquire skills to determine which problems of management are susceptible to quantitative analysis. They will be expected to become facile with the computer software to solve quantitative problems.
The following learning outcomes are expected.
1. Identify data properly for the appropriate analysis
2. Calculate results correctly and identify incorrect calculations (sanity check).
3. Demonstrate understanding of models and use them correctly.
4. Interpret and explain answers in both quantitative and written form (qualitative).
5. Demonstrate successful group processes by integrating information and analysis.
Assignment – Book Review
A book report will be required. The report will consist of two parts. The first part will be a chapter by chapter summary of the book. The second part will be your evaluation of the book in terms of its value to the understanding of the course and its value to you as a student. Each part will have equal weighting of five points.
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