If you were to list your credits, we could make a pretty good guess. You should cover nearly all of the GenEds, and almost certainly all of the general electives. Depending on exactly what you took, maybe even a bit of AOS. From a transfer credit point of view, it won't matter that you haven't completed the MD degree as you will likely have all of the courses that could possibly apply done at this point, mostly during your undergraduate work.
If you wanted to just have the bachelor's and master's evaluated at this point, that could make sense as they likely contain all of the useful credits you have towards the BACS, anyway.
If you wanted to just have the bachelor's and master's evaluated at this point, that could make sense as they likely contain all of the useful credits you have towards the BACS, anyway.
NanoDegree: Intro to Self-Driving Cars (2019)
Coursera: Stanford Machine Learning (2019)
TESU: BA in Comp Sci (2016)
TECEP:Env Ethics (2015); TESU PLA:Software Eng, Computer Arch, C++, Advanced C++, Data Struct (2015); TESU Courses:Capstone, Database Mngmnt Sys, Op Sys, Artificial Intel, Discrete Math, Intro to Portfolio Dev, Intro PLA (2014-16); DSST:Anthro, Pers Fin, Astronomy (2014); CLEP:Intro to Soc (2014); Saylor.org:Intro to Computers (2014); CC: 69 units (1980-88)
PLA Tips Thread - TESU: What is in a Portfolio?
Coursera: Stanford Machine Learning (2019)
TESU: BA in Comp Sci (2016)
TECEP:Env Ethics (2015); TESU PLA:Software Eng, Computer Arch, C++, Advanced C++, Data Struct (2015); TESU Courses:Capstone, Database Mngmnt Sys, Op Sys, Artificial Intel, Discrete Math, Intro to Portfolio Dev, Intro PLA (2014-16); DSST:Anthro, Pers Fin, Astronomy (2014); CLEP:Intro to Soc (2014); Saylor.org:Intro to Computers (2014); CC: 69 units (1980-88)
PLA Tips Thread - TESU: What is in a Portfolio?
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