ENGR 213
Data and Business Analytics
Description: Lecture, four hours; outside study, eight hours. Coverage of wide variety of spreadsheet models that can be used to solve business and engineering problems, with emphasis on mastery of Excel spreadsheet modeling as integral part of analytic decision making. Managerial models include data modeling, regression and forecasting, linear programming, network and distribution models, integer programming, nonlinear programming, and Monte Carlo simulation. Problems from operations, finance, and marketing taught by spreadsheet examples and describe general managerial situations from various industries and disciplines. Development of spreadsheet models to facilitate decision making. Letter grading.
Units: 4.0
Units: 4.0
AD
Most Helpful Review
Fall 2024 - The homework assignments make up 80% of the grade and the final is worth 20% of the grade. Each homework assignment reflects the lecture material. There is some Python and SQL coding, which I learned a lot from! Overall, the professor is very passionate about this subject and regularly responded via email for help with the homework assignments.
Fall 2024 - The homework assignments make up 80% of the grade and the final is worth 20% of the grade. Each homework assignment reflects the lecture material. There is some Python and SQL coding, which I learned a lot from! Overall, the professor is very passionate about this subject and regularly responded via email for help with the homework assignments.