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Title^
What course did you take first and how did it go?
Staring at the registration screen right now and I'm a bit overwhelmed.
You must complete foundational courses in your first year, but I didn't see much discussion of them here when I tried to search.
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(08-15-2023, 11:15 AM)bluebooger Wrote: did you ask over here
https://www.reddit.com/r/OMSCS/
I did not, but I read a few posts there.
This community feels like the best source TBH, I have tentatively chosen CS 6035 Introduction to Information Security and CS 6263 Intro to Cyber-Physical Systems Security.
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I know that at least a few forum members here have at least started the OMSCS. But there isn't much talk about it, alas.
In progress:
TESU - BA Computer Science; BSBA CIS; ASNSM Math & CS; ASBA
Completed:
Pierpont - AAS BOG
Sophia (so many), The Institutes (old), Study.com (5 courses)
ASU: Human Origins, Astronomy, Intro Health & Wellness, Western Civilization, Computer Appls & Info Technology, Intro Programming
Strayer: CIS175, CIS111, WRK100, MAT210
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Essentially, it won't really matter which order you take the course as long as you complete them, I would go usually by the numbering and in orderly fashion. Usually it depends on the student and how comfy they are with the courses, I would mix/match the courses to my own liking.
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08-15-2023, 04:49 PM
(This post was last modified: 08-15-2023, 04:56 PM by fmsoa.)
(08-15-2023, 10:03 AM)Blckbuster Wrote: Title^
What course did you take first and how did it go?
Staring at the registration screen right now and I'm a bit overwhelmed.
You must complete foundational courses in your first year, but I didn't see much discussion of them here when I tried to search.
CS 6603: AI, Ethics, and Society. Basically a Python and Pandas data manipulation course. Very easy. I'm sure most students had worked on Pandas during their undergraduate career
CS 7646 Machine Learning for Trading. If you've taken TESU FIN 3210 Security Analysis and Portfolio Management or similar and know forwards, futures, options, CAPM, efficient frontier inside and out, it will be a breeze. Putting all those concepts in Python with numpy is so much easier than solving partial differential equations by hand! Regression, K-Nearest Neighbors, ensemble learning are all covered in any undergraduate data science course. The only new material is just reinforcement learning
OMSCS reddit had a lot more information that you can check out
![[Image: e7P9EJ4.jpeg]](https://i.imgur.com/e7P9EJ4.jpeg)