Artificial Intelligence, Minor

Undergraduateminor2027 catalogComputer Information Scienceverified parse

Fundamental Courses

From the catalog
All students can take a self-assessment to attempt to place out of CS 2000 and CS 2001. Students who place out of CS 2000 and CS 2001 will instead substitute 4-5 semester hours of CS, CY, or DS coursework at the 3000 level or higher not otherwise required in the degree.

All of:
- CS 2000 — Introduction to Program Design and Implementation
- CS 2001 — Lab for CS 2000
All of:
- CS 2100 — Program Design and Implementation 1
- CS 2101 — Lab for CS 2100

Artificial Intelligence Foundations

DS 3000 — Mathematical Foundations of Artificial Intelligence
DS 4400 — Machine Learning

Artificial Intelligence Electives

From the catalog
Complete one of the following (only one course from the Meaningful Minor list may contribute toward the minor requirements):
DS 2010 to DS 4989
Meaningful Minor list (see below)

One of:
- CS 3200 — Introduction to Databases
- Any DS course numbered 2010–4989
- One of:
  - Arts, Media and Design — one of:
    - ARTG 5100 — Information Design Studio 1: Principles
    - ARTG 5110 — Information Design History
    - ARTG 5120 — Research Methods for Design
    - ARTG 5330 — Visualization Technologies 1: Fundamentals
    - ARTG 6100 — Information Design Studio 2: Dynamic Mapping and Models
    - GSND 5110 — Game Design and Analysis
    - GSND 6350 — Data-Driven Game Design
    - JRNL 3700 — Data Storytelling
    - JRNL 5500 — Coding for Digital Storytelling
  - Bouvé Health Sciences — one of:
    - HINF 5101 — Introduction to Health Informatics and Health Information Systems
    - HINF 5102 — Data Management in Healthcare
    - HINF 5300 — Personal Health Interface Design and Development
    - HINF 5301 — Evaluating Health Technologies
  - D'Amore-McKim—Business — one of:
    - FINA 4335 — Computational Methods and Their Applications in Finance
    - FINA 4350 — Applied Financial Econometrics and Data Modeling
    - FINA 4390 — Machine Learning in Finance
    - MISM 2510 — Fundamentals of Information Analytics
    - MISM 3403 — Data Management for Business
    - MISM 3501 — Information Visualization for Business
    - MISM 3515 — Data Mining for Business
    - MKTG 3401 — Marketing Research
    - MKTG 3501 — Marketing Analytics
    - SCHM 2301 — Supply Chain and Operations Management
  - Khoury Computer Sciences — one of:
    - CY 5010 — Cybersecurity Principles and Practices
    - CY 5200 — Security Risk Management and Assessment
  - Engineering — one of:
    - CIVE 3464 — Probability and Engineering Economy for Civil Engineering
    - EECE 5639 — Computer Vision
    - EECE 5642 — Data Visualization
    - EECE 5644 — Introduction to Machine Learning and Pattern Recognition
    - IE 5640 — Data Mining for Engineering Applications
  - Science — one of:
    - ENVR 2500 — Biostatistics
    - MATH 2331 — Linear Algebra
    - MATH 2341 — Differential Equations and Linear Algebra for Engineering
    - MATH 3081 — Probability and Statistics
    - MATH 4581 — Statistics and Stochastic Processes
    - PSYC 2320 — Statistics in Psychological Research
  - Social Science and Humanities — one of:
    - ECON 2350 — Statistics for Economists
    - ECON 2560 — Applied Econometrics
    - ECON 3916 — Intermediate Selected Topics in Microeconomics
    - PHIL 2001 — Ethics and Evolutionary Games
    - POLS 2400 — Quantitative Techniques

Substitutions

Possible equivalents for this program — dashed means a suggestion, not a rule, and every substitution needs your advisor's approval:

MATH 2331 ↔ MATH 2341 (tier C)

What the tiers mean

Parsed from the catalog by NU Map; the structured machine copy is in this college's JSON for the 2027 catalog, under artificial-intelligence-minor, and the official page is the authority.