ADM 4363 Business Optimization Analytics

3 units
Administration
Telfer School of Management
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.

Components:

Lecture

Requirements:

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 .

Previously Offered Terms:

Fall

French Equivalent:

All Professors
B Average (6.063)
Most Common: A- (23%)
80 students

P

S

NS

F

D

C

B

A-

A+

Antoine Sauré

2 sections from Fall 2022 to Fall 2023

B Average (6.017)
Most Common: A- (23%)
60 students

P

S

NS

F

D

C

B

A-

A+

Jonathan Patrick

Fall 2019 - A00

B Average (6.200)
Most Common: B (25%)
20 students

P

S

NS

F

D

C

B

A-

A+