Analytics and AI: Decision-Making and Optimization

Section Details

  • Course Code COMP
  • Course ID 2004P
  • Term 202600
  • CRN 26546
  • Section AU5
  • CEUs 13.50
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Section Summary

Course Format
Online
Registration End
08/19/2026
Location
Online
Venue Name
Online
Support Services
M-F 8:00-5:00 EST
Price
$1,750.00

Course Administrator

Robin Finey

Prerequisites

REQUIRED:

  • Experience with linear algebra, multivariate calculus, basic probability, and Python programming

Materials

REQUIRED (Student must provide):

  • Internet connection
  • Free software (download and install before taking the course)
    • PuLP optimization software (see www.coin-or.org/PuLP)
    • CVX in Python: CVXOPT, CVXPY software (see cvxopt.org and cvxpy.org)
    • CVX in Matlab: CVX software (see cvxr.com/cvx)
    • Python programming language (see www.python.org); preferably use the Anaconda distribution (see www.anaconda.com)
    • Adobe Acrobat PDF reader (see get.adobe.com/reader/)
    • Honorlock proctoring software (see honorlock.com/)
  • Laptop or desktop computer (not a tablet)

SUGGESTED:

  • Reference books (Not required)
    • R. Rardin. Optimization in Operations Research. Prentice Hall, 1998.
    • S. Boyd and L. Vandenberghe. Convex Optimization. Cambridge University Press, 2004. (Available online at web.stanford.edu/~boyd/cvxbook.)
    • A. Ben-Tal and A. Nemirovski. Lectures on Modern Convex Optimization. SIAM, 2001.

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/