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. He is also the main contributor for Indonesia Belajar, an Indonesian YouTube channel dedicated to provide learning materials related to computer science.
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Prescribed textbook: Elementary Statistics: Picturing the World, 6th Edition
Prescribed textbook: Grokking Algorithm
Prescribed textbook: Data Structures and Algorithms in Python
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2011
2005-present
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2018
IEEE Member ID: 94845913
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