Practicum in Data Analysis · Quantitative Methods In The Social Sciences
how to train dataset in various LLM and benchmark to evaluate.
I didn't learn a lot from this course. I learned a lot from my peers and self-learning.
I learned about how to research on my own and how to be proactive when working in a group that can be difficult to work with based off of language barriers.
This course is supposed to offer a real-world project experience. I think the effectiveness of this structure is largely dependent on the team and client you are assigned to.
100% student run/managed, groupwork based course. How much you enjoy this course depends on the projects available and mostly what your group is like - and its generally nothing amazing
the instructor provided help during the project - project management, time schedule
If you have a good team, you will do fine. If you have a bad team you will have time to do your other work.
honestly cant tell you what you get to learn, other than group work isnt great when the core team isnt good at managing or directing the overall group. the professor honestly doesnt help at all and she actually kind of makes the class worse as she seems to have such negative vibes. 1 Columbia University: Arts & Sciences Fall 2024 Course: QMSSGR5052_001_2024_3-PRACTICUMINDATAANALYSIS : QMSSGR5052_001_2024_3 - PRACTICUM IN DATA ANALYSIS Instructor: Nicole DiCrecchio
In this practicum course, I learned how to apply quantitative methods to real-world problems by working on a project with Memorial Sloan Kettering focused on Large Language Models in the medical domain. I developed skills in project scoping, exploratory data analysis, model testing, and literature review, while also strengthening my ability to collaborate effectively in a team setting.
LLM, coding, high performance computing, project management, medical applications