(12-11-2017, 02:17 PM)bchart Wrote:(12-10-2017, 06:15 PM)dfrecore Wrote: Here's the answers to your questions on your spreadsheet:
I've updated the spreadsheet with your comments and I still have a couple of questions.
-Are there too many 100 lvl courses in my electives?
-Is there any class you would swap out to make it faster/easier?
-Is the current layout doable in 6-8 months (or 12 on the long end)?
I guess I'm just trying to figure out how to put it all together. Since my goal is grad school and I have a full time job and 4 children, I just didn't want to spend a lot of time on the undergrad side. I've read on here that for a LS degree you could test out of everything, but I don't know if that's currently possible or how hard the CLEP/DSST tests are.
Any thoughts?
There's no upper limit on 100 level courses at TESU. TESU only requires one actual course, the capstone. For 117 out of 120 credits, you can use tests and online courses. The thing to understand is that the online courses in your plan are self-paced. If you're able to move quickly through the quizzes and exams, then you can set a pace similar to studying for and taking a CLEP/DSST. Some people greatly prefer them as they find a single comprehensive exam to be too much pressure. As far as what tests and courses are easier, it's kind of a personal thing. One person thinks College Algebra is a breeze, then next would much rather take an extra history course. You need to look at the course choices through the lens of your own experience.
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?