Introduction to Quantitative Decision Making
Overview
- Introduction to modelling - steps of modelling process
- Introduction to decision making under certainty
- Optimization, sensitivity analysis
- Introduction to linear models and linear programming, product mix model, advertising model, production process model, work schedule model
- Multi-period production model, transportation model, assignment model
- Introduction to probability, Bayes’ Theorem
- Probability distribution and decision analysis, payoff table and decision tree
- Planning a decision strategy.
Lectures and seminars.
Final Exam | 30% |
Term Examinations (2-3) | 40% - 50% |
Computer Lab Test | 5% - 10% |
Assignments | 10% - 20% |
100% |
To pass the course it is necessary to achieve at least 50% on the final exam and achieve at least 50% on the combined average of all tests and examinations.
At the end of the course, the successful student should be able to:
- Understand solving problems and decision making using quantitative analysis.
- Understand the process of modelling (Cost, Revenue and Profit Models).
- Understand decision making under certainty (Optimization, Sensitivity Analysis).
- Understand computer-based systems to help with quantitative analysis and design models for business use.
- Understand developing Excel-based models for problem solving.
- Understand linear models and linear programming (product mix model, advertising model, production process model, work schedule model) using optimization functions such as Excel Solver, LINDO Systems.
- Understand multi-period production model, transportation model, assignment model.
- Understand probability, and Bayes’ Theorem.
- Understand probability distribution and decision analysis.
- Understand structuring the decision problem with payoff table and decision tree.
- Understand making decisions under certainty and uncertainty.
- Understand decision strategy.
- Understand carrying out sensitivity analysis.
Textbooks and Materials to be Purchased by Students
Custom Course Publication; Selected chapters from SMA – Spreadsheet Modeling and Applications, Albright and Winston, Thompson Learning Inc, 2005) and Quantitative Methods for Business, Latest edition, Anderson, Sweeney and Williams, Thompson, 2004.
Business Calculator: one of:
- Texas Instruments BAII+
- Texas Instruments BA35
- Hewlett Packard 10B
- Sharp EL-733a
Requisites
Course Guidelines
Course Guidelines for previous years are viewable by selecting the version desired. If you took this course and do not see a listing for the starting semester / year of the course, consider the previous version as the applicable version.
Course Transfers
These are for current course guidelines only. For a full list of archived courses please see https://www.bctransferguide.ca
Institution | Transfer details for BUSN 2290 |
---|---|
Coquitlam College (COQU) | COQU STAT 290 (3) |
Kwantlen Polytechnic University (KPU) | No credit |
Simon Fraser University (SFU) | SFU BUS 2XX (3) |
Thompson Rivers University (TRU) | TRU BBUS 2XXX (3) |
Trinity Western University (TWU) | TWU BUSI 2XX (3) |
University of British Columbia - Okanagan (UBCO) | UBCO MGMT_O 3rd (3) |
University of British Columbia - Vancouver (UBCV) | DOUG BUSN 2290 (3) & DOUG BUSN 2429 (3) & DOUG BUSN 3431 (3) = UBCV COMM 190 (3) & UBCV COMM 191 (3) |
University of British Columbia - Vancouver (UBCV) | UBCV COMM_V 2nd (3) |
University of British Columbia - Vancouver (UBCV) | DOUG BUSN 2290 (3) & DOUG BUSN 2429 (3) & DOUG BUSN 3431 (3) = UBCV COMM_V 190 (3) & UBCV COMM_V 191 (3) |
University of Northern BC (UNBC) | UNBC COMM 251 (3) |
University of the Fraser Valley (UFV) | UFV BUS 2XX (3) |
University of Victoria (UVIC) | UVIC MATH 1XX (1.5) |