Artificial Intelligence Lab Curriculum

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Table of contents

• Fundamentals of A.I.
  • What is A.I.?
  • Uses of A.I.
  • A.I. of Today
  • A.I. of the Future
• Introduction to Python
  • Basics
  • Numpy
  • Pandas
• Introduction to Machine Learning
  • Neural Networks
• Industry collaboration
  • Research
  • Team based projects
• NanoDegree preparation
  • Machine Learning
  • Data Analysis

Resources

Machines Learning for Software Engineers

• https://github.com/ZuzooVn/machine-learning-for-software-engineers

Member commitments and expectations

A member must

• Commit at least one hour a day for lab studies
• Be communicative and responsive to lab initiatives
• Take on leadership role and advance the lab's interests
• Show upmost dedication to projects and research incentives
• Help other lab development and offer assistance to fellow members
• Join online communities such as Stack Overflow, Kaggle, Quora and others

The lab will

• Make it's members feel welcome
• Offer great experiences and opportunities
• Improve social and technical skills needed for success
• Make you work smart not hard!

Lab meeting schedule

• Thursday 2:00PM - 2:30PM (ACM @Research Lab)
• Friday 6:00PM - 8:00PM (Starbucks)