Analytics and AI: Introduction

Section Details

  • Course Code COMP
  • Course ID 2001P
  • Term 202600
  • CRN 26543
  • Section MY4
  • CEUs 13.50
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Section Summary

Course Format
Online
Registration End
05/13/2026
Location
Online
Venue Name
Online
Support Services
M-F 8:00-5:00 EST
Price
$1,750.00

Course Administrator

Robin Finey

Prerequisites

RECOMMENDED:

  • Some experience with R (statistical programming language)

REQUIRED:

  • Some Python programming proficiency
  • Basic calculus-based probability/statistics
  • Basic linear algebra

Materials

REQUIRED (Student must provide):

  • Internet connection
  • Free software (download and install before taking the course)
    • R statistical software (see cran.r-project.org) and R Studio (see rstudio.com/products/rstudio/download)
    • Arena simulation software (see www.arenasimulation.com/academic/students) for Windows, or SimPy (see pypi.python.org/pypi/simpy) for Windows/Mac
    • PuLP optimization software (see www.coin-or.org/PuLP) and/or Gurobi optimization software (see www.gurobi.com/academic-program-and-licenses)
    • Python programming language (see www.python.org)
    • Adobe Acrobat PDF reader (see get.adobe.com/reader/)
    • Honorlock proctoring software (see honorlock.com/)
  • Laptop or desktop computer (not a tablet)

PROVIDED (Student will receive):

  • All course lessons, assignments, and solutions

Technology Requirements

Verify you meet the minimum browser and computer requirements for this section.

How to Access Your Course Content

  • Claim your Georgia Tech (GT) account, set up your GT account password and view your GT account user name. This account is different from your account and password on this website.
    • Claim your Georgia Tech (GT) account OR
    • Check your inbox for an email with a direct link.
      NOTE: It may take up to an hour from registration for your GT account to be established and the email to be sent. We appreciate your patience.
  • Note your GT username and password. You will need both to access your course materials.
  • Log in to your course with the course platform delivery link below.

Course Delivery Platform

Canvas: https://gatech.instructure.com/