Foundations of Artificial Intelligence 

The rapid growth and implementation of artificial intelligence (AI) is having profound, and often unforeseen, effects on the way we live and interact with one another. From driverless cars and robotic caregivers to programs that predict health outcomes, sentencing guidelines, and credit risks, these technologies raise a host of social, political, and ethical issues. To help assure that new forms of AI are serving society well, industry leaders are realizing that these issues need to be addressed by a variety of perspectives and disciplines. The Foundations of AI minor is designed to help liberal arts students work effectively on teams with computer scientists and neuroscientists so that they may identify and solve the challenges posed by AI. The minor provides students with the knowledge of programming needed to engage in contemporary debates about AI and introduces them to the philosophical, psychological, mathematical and logical frameworks that inform these debates. Drawing its courses from the Philosophy, Mathematics, Physics, Psychology, and Neuroscience programs, the minor reflects the interdisciplinary nature of AI research and the importance of incorporating formal, scientific, and humanistic approaches to its study.

Requirements for the Minor

The minor requires a minimum of 5 courses (20 credit hours):  2 core courses and at least 3 elective courses.  The 3 elective courses must come from at least 2 of the 3 categorical groups.  At least 3 courses (12 credit hours) for the minor must be taken at Agnes Scott.

Required Core Courses:

PHI-110  Introduction to Artificial Intelligence
MAT/PHY-131  Problem Solving in Python

Elective Courses (must come from at least 2 groups):

Group I:  Programming

  • MAT/PHY-231  How to Think Like a Data Scientist
  • MAT-325  Mathematical Models and Applications

Group II: Logic

  • PHI-103  Logic
  • PHI-303  Intermediate Logic
  • MAT-204  The Art of Mathematical Thinking

Group III: Neuroscience

  • BIO/PSY-350/350L Foundations of Neuroscience I - OR –
    BIO/PSY-351/351L Foundations of Neuroscience II
  • PHI-217  Philosophy of Mind
  • PSY-311  Animal and Human Learning
  • PSY-315  Cognitive Neuroscience