Please check Canvas to access all teaching materials for the classes taught by Prof. Gabriel Terejanu in which you are registered.

@ University of North Carolina at Charlotte:

• Spring 2025

  • ITCS 6100 – Big Data Analytics for Competitive Advantage

  • ITCS 5122 – Visual Analytics

• Fall 2024:

  • On leave from UNC Charlotte

• Spring 2024:

  • ITCS 6100 – Big Data Analytics for Competitive Advantage

• Fall 2023:

  • ITCS 6100 – Big Data Analytics for Competitive Advantage

• Spring 2023: 

  • ITCS 4122/5122 – Visual Analytics

  • ITCS 6100 – Big Data Analytics for Competitive Advantage

• Fall 2022: 

  • ITCS 4122/5122 – Visual Analytics

• Spring 2022: 

  • ITCS 4122/5122 – Visual Analytics

  • ITCS 8010 – Topics in Computer Science: Explainable AI and Causal Modeling

• Fall 2021: ITCS 4122/5122 – Visual Analytics

• Spring 2021: 

  • ITCS 4122/5122 – Visual Analytics

  • ITCS 8010 – Topics in Computer Science: Explainable AI and Causal Modeling

• Fall 2020: DSBA 6100 – Big Data Analytics for Competitive Advantage

• Spring 2020: DSBA 6100 – Big Data Analytics for Competitive Advantage

• Fall 2019: ITCS/DSBA 6100 – Big Data Analytics for Competitive Advantage

• Spring 2019: DSBA 6100 – Big Data Analytics for Competitive Advantage

• Fall 2018: ITCS 4122/5122 – Visual Analytics

@ University of South Carolina:

• Spring 2018: CSCE 582 – Bayesian Networks and Decision Graphs

• Fall 2017: CSCE 350 – Data Structures and Algorithms

• Spring 2017: CSCE 567 – Visualization Tools

• Fall 2016: 

  • CSCE 883 – Machine Learning

  • CSCE 791 – Seminar Advances in Computing

• Spring 2016: CSCE 590 – Data Visualization

• Fall 2015: 

  • CSCE 883 – Machine Learning

  • CSCE 791 – Seminar Advances in Computing

• Spring 2015: CSCE 350 – Data Structures and Algorithms

• Fall 2014: CSCE 883 – Machine Learning

• Fall 2013: CSCE 758 – Probabilistic System Analysis

• Spring 2013: CSCE 350 – Data Structures and Algorithms

• Fall 2012: CSCE 758 – Probabilistic System Analysis