Project for Data Science
Project for Data Science
Embedded Files
Project for Data Science
Project for Data Science
Learning Objectives:
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
Interviewer Assistant
Demo Video
demo only.mp4Presentation
Final Presentation Interviewer Assistantant.pdfSURFY: Survey For You
SURFY: Survey For You
Demo Video
final_demo.mp4Presentation
Team4_Final presentation.pdfK-ANTS Supply Chain
K-ANTS Supply Chain
Demo Video
KANTS Demo.movPresentation
K-ANTS_Fianl_version.pdfOpenCV: AI-based Resume Tailoring
OpenCV: AI-based Resume Tailoring
Demo Video
Demo Video.mp4Presentation
Team2-Final Presentation.pdfGraduate School Application Assistant (GSAA)
Graduate School Application Assistant (GSAA)
Demo Video
team1_demo only.mp4Presentation
FinalPresentation_Team1.pdfHandbook for Data Science Project
Handbook for Data Science Project
Materials
Materials
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