COPE TTS | Evaluated Learning Experience
MTH 301 Quantitative Analysis
Varies (self-study; self-paced).
October 2022 - Present.
Upon successful completion of the course, students will be able to: define business problems and effect optimal solutions utilizing well-reasoned modeling techniques; create solutions to problems having common business applications; recognize both the effectiveness and limitations in using models as replications of real-world situations; and apply appropriate forecasts and simulations as a basis for managerial decisions.
This course introduces students to some of the important models and problem-solving techniques used in business decision making. Topics include learning curves, forecasting, utility theory, statistical decision theory, queuing theory, linear and integer programming, transportation and assignment models, graph theory, project management, process mapping and network modeling.
In the lower division baccalaureate/associate degree category, 3 semester hours in Business, Quantitative Analysis, or Decision Science (3/23).
