Course Catalog
MATH3030 - Operations Research I
Fall 2022
This course introduces students to quantitative methods and applications in business decision-making. The quantitative models studied in this course include matrix models, the Leontief input/output model, Markov chains, linear programming with shadow pricing and sensitivity analysis, transportation and assignment algorithms, and network models. Computer software is used as a practical implementation of these models. This course is usually offered only in the winter term.
Prerequisites: MATH2070 and ENGR2080 or STAT2110 or STAT3140 3 Credits
3 Credits
Prerequisites: MATH2070 and ENGR2080 or STAT2110 or STAT3140 3 Credits
3 Credits
Course Registration will occur in the Banner system. For information on how to register and planning tools to ensure that you're Ready to Register please visit: ![]() ![]() ![]() |
M Monday
T Tuesday
W Wednesday
R Thursday
F Friday
S Saturday
U Sunday
Schedule Book for All Active and Available Future Terms, Course starting with MATH3030
Page 1 of 1
Credits:
3
Days: M
Location: Moon
Room: John Jay 231
Days: M
Location: Moon
Room: John Jay 231
Time:
06:00-08:50 pm
Instructor: Shim
Session: 1 (08/28/2023 - 12/15/2023)
Term: Fall 2023
Instructor: Shim
Session: 1 (08/28/2023 - 12/15/2023)
Term: Fall 2023
Prerequisites: MATH2070 and ENGR2080 or STAT2110 or STAT3140
3 Credits