Graph Mining: An Introduction

Knowledge Based Outcome:

• Students will be able to Identify, Describe, and Apply Graph Mining Concepts and Algorithms to Real World challenges and applications
• Describe big data challenges when it comes to Graphs and Graph mining. Relate and explain, and discover solutions for mining big data graphs
• Define and explain fundamental Graph Concepts and Algorithms along with fundamental Graph Mining Concepts and Algorithms
  

Skills Based Outcome:

• Implement core Graph Mining algorithms in Python and/or R
• Practice tools and libraries such as NetworkX, Gephi for Graph Mining
• Familiarize and practice Jupiter Notebook, Eclipse Python IDE, R Studio for implementation

Value Based Outcome:

• Describe ethical and legal considerations when applying to real world changes i.e how that affect the people and society 
• Collaborative Group Work with respect to others and without authoritative interactions and attitudes; however, with caring and respectful attitude
• Take responsibility for ones' actions and give proper credit to others where applicable