10713 Fundamentals of Decision Theory and Operations Research 1
Credits: 3 intermediate credits in Accounting, Management or Economics.
Recommended: Calculus for Students of Economics and Management, and one of the following: Introduction to Statistics for Students of Social Sciences I or Introduction to Statistics and Probability for Science Students
The course is based on a Hebrew translation of Introduction to Mathematical Programming, by F.S. Hillier and G.J. Lieberman (McGraw Hill, 1990).
The course imparts basic knowledge of deterministic and stochastic operations research models. Students learn how to use operations research models to formulate and solve basic management and accounting problems.
Topics: Classic optimization; Linear programming including graphic solutions; Computer output analysis for linear programming problems; Integer programming; Dynamic programming; Inventory theory; Project management – Pert/Cpm networks; Decision trees and decision-making models.
1There is some overlap in the content of this and other courses. For details, see Overlapping Courses.