Project for Data Science

Project for Data Science

Learning Objectives:

This course is project-oriented and designed for students to gain hands-on and practical experience in end-to-end project execution, including the data science application development life cycle, component selection, and architectural design, run-time system infrastructure monitoring & maintenance, and MLOps practices.

The lectures will cover the foundations of software development and the concepts of software 2.0, followed by lab sessions for students to get familiar with state-of-the-art software components used in the industry and case studies of large-scale commercial systems.

The students must propose project ideas, design architecture and application functions, and monitor and maintain the infrastructure throughout its life cycle.

Interviewer Assistant

SURFY: Survey For You

K-ANTS Supply Chain

OpenCV: AI-based Resume Tailoring

Graduate School Application Assistant (GSAA)

Handbook for Data Science Project

Materials