Ranting & Ratings
1. Programming (92/100)
One of my strengths! I have been programming since year 6, starting with scratch, then moving onto Python, I craved more challenges and satisfaction out of my projects, so I started designing my own, starting with simple input games to creating chatbots.
2. Topics in Computer Systems (76/100)
A decent topic if you are into the physical aspect of devices such as motherboards, GPU, CPU, and applications.
3. Developing the Computing Professional (70/100)
Getting ready for eventually applying it into the real world, this can help broaden your future life search through making weaknesses -> open to change -> more confidence in what you do, and do not want to do.
In similarity, driving (in a car) is a loathing of mine which I try to avoid doing at all costs, but every now and again I do for the sake of not falling back into the same negative cycle of being scared of it.
4. Design for User Experience (75/100)
Interesting but familar. I know how to prettify a website already which is the main focus in this topic. Software design was also discussed (aesthetics, simplism, etc..) which I approve of. At the same time, it can get boring as I crave something practical rather than theory related.
5. Project Management (75/100)
Working in a group is alright, depends on the people you work with and their enthusiasm for that project, along with your own motivation.
6. Networking... (48/100)
OK so admittedly it is probably not as bad as I rated it since it is more practical than other subjects, however I cannot wrap my head around each command used and where to use them. Cisco Packet Tracer (the bane of my life) is the main tool we have to use. Navigating devices, servers, routers and the commands that come with them severely messes with my brain. You would think a programmer would be somewhat decent with this, however not only do I dislike this out of them all, I find it difficult which probably contributes. Despite this, I have been flirting with the idea of buying myself a server one day with large amounts of VRAM (ideally 32GB+) to run and train local AI models, so in that sense yes it would be useful to know.