Passed D333 Ethics in Technology (Course Review)

Posting guide for this class cause I couldn't really find too many online so here goes nothing...
I passed this class in less than 24hrs. I took the PA while gaming, failed it, studied what I miss and did my best to understand why I missed it - this is key. Glanced at my notes a few times through out the day, but didn't really do any hardcore studying.

In order to pass this class I would recommend a few things:
- Know your Vocab Terms and what they apply to Ex. Know how to identify Utilitarianism
- Know AI Biases - I had like 5 questions on this
- Know Software Engineering Best Practices - around 5 questions on this
- Know the best case for full time, part-time, contract, offshore, and H1B Workers

I saw someone recommend watching the AI videos - do it - I didn't but I probably would've passed by a greater margin if I did lol I had like 5 AI questions. If you want some extra cushion to ensure you pass the first attempt. Do this.
Once you know your vocab terms a good bit of the test is implementing what you know. Similar to the PA the test will have a prompt and ask you which ethic is being applied - this bits fairly easy imo. What I didnt expect was questions like, which data does GLBA protect. I knew GLBA had to do with banks, but that wasnt enough to know the right answer on the test. It was enough to narrow my answers down, but again there were a few questions that had a tad bit of depth.
My PA also had questions about the first and fourth amendment???? I guess know those too lol

Overall not that difficult of a class. Just know your vocab terms and how to apply.
Suggested Vocab Terms:

Deontology -

Utilitarianism -

Virtue Ethics -

Relativism -

Consequentialism -

Wiretap Act -

Gramm Leach Bliley Act -

USA Patriot Act -

Foreign Intelligence Surveillance Act -

CDA -

ECPA -

GLBA -

GDPR -

Corporate Responsibility

CSR -

General Data Protection Regulation -

False Claims Act - Fraud

Patent -

SLAPP -

John Doe Lawsuit -

Health Information Exchange -

Electronic Medical Record - EMR -

AI Biases
Whistleblower