Potential Learning Outcome from a Graph Mining Course

Learning Outcomes

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

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