Course Description:

This course teaches quantitative analysis tools and methods commonly used in business and public administration settings today. The data management and modeling functions taught in this course exist in most mainstream business functions, including marketing, operations management, finance, accounting, long-term strategy, and managerial economics. Concepts and methods taught in this course include:

  • Methods for summarizing bodies of data, e.g., measures of central location, variability, and correlation
  • Methods of visualizing data, e.g., tables, charts, graphs, and histograms
  • Probability distributions and random variables
  • Decision analysis techniques and decision trees, notions of risk and uncertainty
  • Random sampling methods, time series analysis, and methods of statistical inference including confidence intervals, hypothesis testing, and statistical regression
  • Optimization modeling methods including linear and integer programming for optimizing decisions such as production capacity, distribution network design, financial portfolio structure, and marketing strategy

Given that the Microsoft Excel spreadsheet software is so ubiquitous, this course makes extensive use of Excel capabilities. A variety of Excel commands and functions used to organize data such as filters and pivot tables are covered. Students who are not very familiar with Excel need to complete some form of Excel training prior to starting this course.
The course includes examples and exercises in which quantitative tools are applied in elementary applications relevant to business and public sector paradigms taught in subsequent Presidio Graduate School courses. The quantitative grounding provided in this course serves a bridge to the later courses and enables students to employ quantitative tools at a more rigorous level in those courses.

(4 Units)

Pre-requisites:

Intermediate level Algebra
Intermediate level Excel

Faculty:

Khalid Kadir, PhD

 

 

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