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ARTIFICIAL INTELLIGENCE (AI) TRACK FOR COMPUTER SCIENCE:  
(Track Manager: Dr. Rowe)
Revision of September 2019
Applies to students starting April 2019 or later 

Students must take the following: 

___CS4330 Introduction to Computer Vision (3-2) (Prereq.: some programming,
   some linear algebra, some statistics
___CS4313 Advanced Robotic Systems (3-2) (Prereq.: CS3310) 
__ CS4920 Machine Learning in Data Networks (3-1) (Prereq.: Consent of 
   instructor)
___MV4025 Cognitive and Behavioral Models for Simulations (3-2) 
   (Prereq. CS3310) 

In addition, students must choose two of the following courses (or
other courses by approval of the Track Manager):

___CS4317 Language Systems (3-2) (Prereq.: CS3310)
___CS49xx Seminar on Advanced Autonomous Systems Topics (4-1) 
   (Prereq.: consent of instructor)
___CY3650 Cyber Data Management and Analytics (4-0) (Prereq.: CY3520, 
    CS3502, or IS3502)
___IS4205 Big Data Management, Architecture, and Applications (3-2) 
   (Listed prereqs. are IS3200 and IS3201, but CS3060 can substitute for them)
___OS4106 Advanced Data Analysis (3-0) 
   (Prereq.: CS4315, but check with instructor)
___OA4108 Data Mining (2-2) 
   (Prereq.: OA3103, but check with instructor
___ME4801 Machine Learning for Automous Operations (3-2) 
   (Prereq.: ME3420 or AE3830)
___Forthcoming CS course on deep learning
___Forthcoming CS course on neuromorphic computing

Notes: Track-related courses CS3310, Artificial Intelligence, and
CS3315, Introduction to Machine Learning and Big Data, are required
courses for all computer-science majors so they do not count as
electives for the track.  CS4315 is the course on machine learning for
non-CS majors and duplicates much of the material of CS3315, so it
cannot be used as an elective for this track.