Actually, Intro is literally the most basic Intro to Computers course. Take the Saylor COS101 course. If you know any programming at all you can pretty much go straight to the final. Take the non proctored final and if you find it easy, go ahead and take the proctored one for credit. If you struggled, then go through the Saylor course material. It's fairly succinct (for Saylor). Use the C++ course as an area of study elective.
Data Structures is a course that teaches about stacks, queues, lists, etc. Take it after your C++ course.
Discrete Math is a course that covers propositional logic, graph theory, and other useful stuff. This one I took as a course and I'm glad I did. My masters courses will lean on this one a lot apparently.
If you look through my sig, you can see the courses I used to fill out the area of study. Unfortunately there isn't much in the way of tests or self-paced courses you can use for this major... That's why I did most of it as PLA.
Data Structures is a course that teaches about stacks, queues, lists, etc. Take it after your C++ course.
Discrete Math is a course that covers propositional logic, graph theory, and other useful stuff. This one I took as a course and I'm glad I did. My masters courses will lean on this one a lot apparently.
If you look through my sig, you can see the courses I used to fill out the area of study. Unfortunately there isn't much in the way of tests or self-paced courses you can use for this major... That's why I did most of it as PLA.
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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