Data Science - Capstone Project_Dự án KHDL

Data Science - Capstone Project

Tín chỉ: 3
Bậc: Bachelor
Thang điểm: 10
Điểm qua: 5

Mô tả

This capstone project course is designed to consolidate and apply students' knowledge in data science to tackle real-world challenges. The course emphasizes: - The application of data science techniques to solve practical problems. - The identification and adaptation of data science methodologies from current research for specific problems. - The development of a comprehensive solution approach using data science. - The evaluation and analysis of results from data science projects. - Recognition of appropriate scenarios for data science applications. - Selection of suitable metrics for project evaluation. - Understanding the ethical and legal implications of data handling. - Implementation and reflection on various data science algorithms including preprocessing, machine learning models, and advanced analytical techniques. - Effective teamwork and project management.

Phân bổ thời gian

45h (60 sessions) contact hours + 1h final exam + 104h self-study;

Nhiệm vụ sinh viên

- Select a suitable project and form teams. - Allocate and schedule tasks among team members. - Develop a project output that meets the specified requirements and demonstrates individual contributions. - Present and defend the project in front of a review

Công cụ

- Programming Languages: Python, R - Software Tools: Jupyter Notebook, TensorFlow, Scikit-Learn, Pandas - Databases and Datasets: Kaggle, UCI Machine Learning Repository, Government databases - Additional Resources: Google Scholar for research papers, GitHub for code repositories

Lưu ý

"- The essential capstone project is mandatory, focusing on solving a real-world data challenge. It comprises 100% of assessments, culminating in a final exam by oral presentation. - The final mark is determined by summing the weighted scores of Report 1 (10%), Report 2 (20%), Report 3 (40%), Final Report (10%), and Final Exam[Oral presentation] (20%). - The final exam [oral group presentation] takes place in class, individually evaluated by one professor. Retakes are permissible, involving the submission of a revised final report and presentation, also evaluated by one professor."