Setia Budi completed his academic exercise in Computer Science at the University of Tasmania, Australia. Australia Awards Scholarships and Sense-T Elite Scholarships enabled him to get his Master and PhD qualifications. His primary research interests include optimisation problem, environmental monitoring, data science, educational data mining, and computer vision.
Prescribed textbook: Elementary Statistics: Picturing the World, 6th Edition
Prescribed textbook: Grokking Algorithm
Prescribed textbook: Data Structures and Algorithms in Python