Artificial Intelligence Certificate

This is an interdisciplinary certificate that combines artificial intelligence courses in our department with courses from other disciplines that are foundations on which the field of AI is based. It assumes you already have a solid foundation in Computer Science and Math. The computer science courses focus on the fundamental algorithms that underlie AI, while the interdisciplinary courses explore the biologic aspects that influence AI and tools used in AI. Identified skills for students in this concentration include:

The ability to solve difficult problems and implement solutions to those problems
Experience working together as a team
Learning fundamental algorithms of AI (e.g., search and planning) and applying them to a variety of problems.
Studying a variety of machine learning techniques (e.g., neural nets, support vector machines) and applying them to real-world problems.
Applying AI techniques to the analysis of large data sets (data mining).
Strengthening programming skills.

Required Courses (17-18 crs.)

AI Courses (Choose 3 Courses):
At least one from:
CMSC 403 - Machine Learning
CMSC 462 - Artificial Intelligence

At least one from:
CMSC 402 - Big Data Analytics
CMSC 471 - Database Management Systems
CMSC 571 - Data Mining
MAT 319 - Data Science II

Interdisciplinary Courses:
PSY 101 – General Psychology (can be counted as a General Education course under Diversity)
PSY 325 – Psychology of Human Cognition