This course presents fundamental concepts in data-driven decision-making, using mathematical models to solve real-world, interdisciplinary problems. Students gain experience transforming ill-defined and complex problems into appropriate mathematical models by identifying reasonable and necessary assumptions. The course emphasizes proper interpretation of findings and effective communication of technical concepts to general audiences. The course exercises a wide array of mathematical concepts while nurturing creativity and critical thinking. Specific topics may include data analytics, classification, optimization, matrices, vectors, and continuous/discrete functions. Students use technology to visualize problems, explore potential solutions, and perform time-consuming calculations.
