Semester 1: Fall 2024

1. Welcome and Orientation Event (August)

• Objective: Introduce the lab, its goals, and the planned activities for the academic year.

• Activities:

  • Ice-breaking sessions.

  • Overview of the importance of data science in business.

  • Introduction to lab leadership and members.

2. SQL Workshop Series (September - November)

• Objective: the fundamentals of SQL.

• Activities:

  • Weekly workshops covering SQL basics to advanced topics.

  • Hands-on exercises and projects for practical application.

  • Q&A sessions for clarifications.

3. Networking Night (November)

• Objective: Provide members with the opportunity to connect with industry professionals and faculty.

• Activities:

  • Guest speakers from the industry.

  • Networking sessions.

  • Panel discussion on the relevance of data skills in the business world.

Semester 2: Spring 2025

4. MongoDB: NoSQL Database Workshop Series (January - March)

• Objective: Introduce members to MongoDB and NoSQL databases.

• Activities:

  • Workshops on MongoDB basics and advanced features.

  • Project using MongoDB.

  • Collaboration with other labs for interdisciplinary projects.

5. Natural Language Processing (NLP) Symposium (April)

• Objective: Explore the applications of NLP in business.

• Activities:

  • Guest speakers with expertise in NLP.

  • Panel discussions on NLP trends.

  • Showcase of projects related to NLP.

6. Web Scraping Hackathon (May)

• Objective: Apply knowledge gained throughout the year to solve real-world problems.

• Activities:

  • Hackathon event with a focus on web scraping applications.

  • Judging panel with faculty and industry experts.

  • Prizes for the best projects.

7. End-of-Year Celebration and Recognition (June)

• Objective: Celebrate the lab's achievements and recognize outstanding contributions.

• Activities:

  • Recap of the year's events and accomplishments.

  • Awards ceremony for project excellence and leadership.

  • Socializing and networking.

Continuous Activities Throughout the Year:

• Monthly Tech Talks:

  • Invite professionals for talks on emerging trends in data science and business.

• Project Showcases:

  • Provide a platform for members to showcase their projects to the lab.

• Study Groups:

  • Organize small study groups for focused learning on specific topics.

• Community Outreach:

  • Collaborate with local organizations for data science-related community service projects.