u/Mitchel_z

Hey everyone, I'm an incoming PhD student from the biology department. I'm thinking of taking an AI-related course for my research.

My advisor told me to take this course because he saw the course description says it is a “graduate‑level introduction to AI.” I'm not sure how true that is, as I also saw this is one of the three highest level AI courses series (along with 496 and 497).

I'm going to take CSDS 440 this fall first, and I'm not sure if it can prepare me for taking 491. I know it recommended me to take 391, but apparently I was firmly told graduate students are not allowed to take 300‑level courses, so I have to go with 440 instead.

Hey guys, I’m an incoming PhD student in the Biology Department. There are two courses I’m really interested in, but they’re only offered at the 300 level, with no 400-level equivalents.

I was told that SGS has a policy requiring all coursework to be at the 400 level or higher, but I’m wondering if anyone has successfully gotten approval to take a 300-level course.

The job market feels pretty confusing right now. On one hand, I keep hearing that I should move more toward the computational side, modeling, simulations, signal processing, ML/Al, etc.

On the other hand, tech companies are still doing layoffs, to me it feels like Al is indeed replacing ppl with coding skills. The ML/AI phd research fields also feels very saturated from what i heard.

I’m a new phd student and have the flexibility of choosing my own coursework, so i want to hear more opinions which direction to go and how following areas will get desirable or not,

Computational modeling / simulations / signal processing

Al, ML, RL etc.

Biology specific areas like genetics, and bioinformatics

The job market feels pretty confusing right now. On one hand, I keep hearing that I should move more toward the computational side, modeling, simulations, signal processing, ML/Al, etc.

On the other hand, tech companies are still doing layoffs, to me it feels like Al is indeed replacing ppl with coding skills. The ML/AI phd research fields also feels very saturated from what i heard.

I’m a new phd student and have the flexibility of choosing my own coursework, so i want to hear more opinions which direction to go and how following areas will get desirable or not,

Computational modeling / simulations / signal processing

Al, ML, RL etc.

Biology specific areas like genetics, and bioinformatics