Teaching and learning
Teaching
Mathematics and statistics for students in engineering, computing, AI and data science.
Courses
Statistics and mathematics
University teaching across engineering, computer science, AI, data science and medical sciences.
PracticeTeaching and assessment
Outcome-Based Education, curriculum assessment and academic mentoring.
DevelopmentProfessional learning
Continued training in Python, SQL, MATLAB, data science and machine learning.
Student support
My teaching is accompanied by academic advising, research mentoring and career guidance. I have served as an undergraduate advisor for Engineering Sciences students at GIK Institute.
Research supervision →