I love teaching and I am motivated by the positive impact my teaching methods have had on students. My research on computing education also enables me to explore new ways to improve my teaching and evaluate the impact of my teaching on student engagement and satisfaction. I have taught a number of classes at the University of Cincinnati.

• IT7071: Machine Learning and Data mining for IT. This course introduces machine learning and data mining techniques. The course focuses on using applied methods and software tools to discover hidden patterns or identify anomalies in the data generated in modern IT networks.
• IT8015: Research Seminar. This course is to facilitate the development of incoming doctoral students’ dissertation research ideas and to build community among students and IT faculty’s research areas.
• IT7001: Graduate Seminar. The IT graduate Seminar is designed to provide opportunities for professional development of graduate students, raise their awareness of various other issues that they may face in their professional careers, and provide opportunities to survey research seminars of their interest.
• IT3045: Contemporary Programming. This course deals with advanced programming techniques and design issues relating to enterprise-wide development.
• IT1090: Computer Programming 1. The course introduces learners to computer programming and problem solving. In this course, students will learn about the basic elements of a computer program. Learners will learn and practice using expressions, repetition and decision-making mechanisms and structures

Recent posts