03-15-2022, 09:01 PM
(03-15-2022, 04:01 PM)ThatBankDude Wrote:(03-15-2022, 12:40 PM)davewill Wrote: I'm skeptical because without either lots of existing domain knowledge/work experience, I don't believe it is possible to complete a master's level CS degree, especially in such a short time frame. I suspect students will have problems completing the program...after having spent a lot of money.The UPenn MCIT is designed for non-CS graduates to complete a masters in CS. I think it structured correctly, it is feasible.
Feasible? Sure, given a smart motivated student almost anything is feasible. However, is it workable for most students? I have doubts.
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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