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Distance Course Only Option (2.5 years):

Year 1 Fall Year 1 Spring Year 2 Fall Year 2 Spring Year 3 Fall
CS652: Computer Vision EE551: Digital Control CS549: Computational (i.e. Machine) Learning Elective 2 Elective 4
EE556: Intro to Robotic Manipulators Elective 1 IA530: Probability and Statistics for Analytics Elective 3 Elective 5

Distance Project Option (2.5 years):

Year 1 Fall Year 1 Spring Year 2 Fall Year 2 Spring Year 3 Fall
CS652: Computer Vision EE551: Digital Control CS549: Computational (i.e. Machine) Learning Elective 2 Elective 4
EE556: Intro to Robotic Manipulators Elective 1 IA530: Probability and Statistics for Analytics Elective 3 Project

On-Campus Thesis Option (2 years):
NOTE: Student on the 2 year track would take additional Thesis credits During Year 2 Spring

Year 1 Fall Year 1 Spring Year 2 Fall
CS652: Computer Vision MA579: Intro to Applied Optimization Elective 2
EE556: Intro to Robotic Manipulators EE551: Digital Control Thesis (7 credits)
CS549: Computational (i.e. Machine) Learning Elective 1
Seminar (1 credit) Seminar (1 credit)

On-Campus Project Option (1.5 years):
NOTE: Current form is a 4+4+2 course load, however this can be made into 3+4+3.

Year 1 Fall Year 1 Spring Year 2 Fall
CS652: Computer Vision MA579: Intro to Applied Optimization Elective 4
EE556: Intro to Robotic Manipulators EE551: Digital Control Project (3 credits)
CS549: Computational (i.e. Machine) Learning Elective 2
Elective 1 Elective 3

On-Campus Course Only Option (1.5 years):
NOTE: Current form is a 4+4+2 course load, however this can be made into 3+4+3.

Year 1 Fall Year 1 Spring Year 2 Fall
CS652: Computer Vision MA579: Intro to Applied Optimization Elective 4
EE556: Intro to Robotic Manipulators EE551: Digital Control Elective 5
CS549: Computational (i.e. Machine) Learning Elective 2
Elective 1 Elective 3

On-Campus Course Only Option (1 year):

Year 1 Fall Year 1 Spring
CS652: Computer Vision MA579: Intro to Applied Optimization
EE556: Intro to Robotic Manipulators EE551: Digital Control
CS549: Computational (i.e. Machine) Learning Elective 3
Elective 1 Elective 4
Elective 2 Elective 5