(3 units). Advanced prescriptive analytics techniques such as optimization and queuing theory in applied settings. Businesses are awash in data but often have little sense as to how that data ought to be used to develop policy. Students will also learn how to use these techniques to help businesses better manage processes in a data-driven fashion, while understanding the limitations of analytical tools. Course Component: Lecture Prerequisites: ADM 2302, ADM 2304. ADM courses at the 4000 level are reserved for B.Com students who have completed at least 33 units from ADM core courses, including ADM 2381.
(3 units). Advanced prescriptive analytics techniques such as optimization and queuing theory in applied settings. Businesses are awash in data but often have little sense as to how that data ought to be used to develop policy. Students will also learn how to use these techniques to help businesses better manage processes in a data-driven fashion, while understanding the limitations of analytical tools. Course Component: Lecture Prerequisites: ADM 2302, ADM 2304. ADM courses at the 4000 level are reserved for B.Com students who have completed at least 33 units from ADM core courses, including ADM 2381.
