Decision Sciences - DSC 3300
Business Administration - Undergraduate, School of Business at NCCU, 2018
This course provides an introduction to the use of mathematical concepts and models in managerial decision making. Mathematical modeling, linear programming, network programming, applied probabilistic concepts and decision theory.
Offered during the following semesters: (F17, S18)
List of Tentative Topics:
1. Introduction
Administrative matters, course overview
2. Mathematical Modeling for Optimization
The art of algebraic modeling for optimization, How to formulate optimization models, Practical examples
3. Optimization Software
Introduction to Optimization Modeling via Spreasheets, Using Excel Solver for Optimization
4. Linear Programming
Optimization concepts and formulating linear programming problems, Graphical solution techniques, the Simplex algorithm
5. Sensitivity Analysis
Dual Variables analysis, Reduced cost analysis, Practical applications using Excel Solver
6. Distribution and Network Models
Graph theory, network flows and cut-sets, other network problems
7. Project Scheduling
Activity networks and critical-path scheduling as Linear Program
8. Decision Analysis
Introduction to Decision-making under uncertainty, Decision Trees, Expected Value of Perfect Information (EVPI), Practical Applications using QM software