Description

In-depth subject review that covers lectures 1 through 10 (all content lectures) with all lecture content, anything else that is examinable, and case Studies/Examples from class as well as independent research. Topics include: Lecture 1 - Intro to Business Analytics and Linear Programming Lecture 2 - More Linear Programming Applications (Marketing, Financial, Operations Management) Lecture 3- Even More Applications of Linear Programming #2 (Transportation, Assignment, Transshipment) Lecture 4- Integer Programming Applications Lecture 5 - Decision Analysis Part 1 Lecture 6 - Decision Analysis Part 2 Lecture 7 - Descriptive Statistics and Probabilities Basics Lecture 8 - Probability Distribution Lecture 9 - Linear Regression Model Lecture 10 - Multiple Regression


UniMelb

Semester 1, 2018


162 pages

18,246 words

$59.00

16

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Campus

UniMelb, Parkville

Member since

February 2013