I took a significant number of courses at TESU because back then, there weren't really any other ways to get the credit. I used PLA where I could, then took Discrete Math, AI, Database Management and Operating Systems. AI was decent, but had no practical assignments at all. Operating Systems was boring, mostly a matter memorizing their terminology. Database Mgmt was mainly SQL, pretty easy. The main thing about courses at TESU is that you can't really speed them up, and there will be assignments to complete each week. Discrete Math was actually a lot of work, but probably the most rewarding.
I ran them overlapping, starting a new course each month, leaving me with a course at the beginning, one in the middle with a mid-term, and one at the end prepping for the final.
I ran them overlapping, starting a new course each month, leaving me with a course at the beginning, one in the middle with a mid-term, and one at the end prepping for the final.
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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