Dr. Michael Gelbart

Assistant Professor

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Biography

Michael Gelbart is an Adjunct Professor in the Department of Computer Science at the University of British Columbia (UBC). He specializes in areas related to machine learning and data mining, with a focus on applied machine learning techniques. He has taught various courses including Machine Learning Data Mining and Numerical Approximation Discretization. Professor Gelbart is recognized for his contributions to the field and has received the UBC Computer Science Department Faculty Teaching Award for his excellent teaching practices. He actively participates in research and has a particular interest in nurturing students’ understanding of complex computational concepts through practical application. His involvement in academia is complemented by a robust approach to education that emphasizes hands-on experience in engineering design and computational methodologies.

Research Interests

Machine Learning Data Mining Applied Machine Learning

Courses

Machine Learning Data Mining Applied Machine Learning Numerical Approximation Discretization Introduction Computation Engineering Design

Requirements for University of British Columbia

Master Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:21
Speaking
Required:21
Total
Required:100
Prerequisites
Bachelor's degree in Philosophy or related field 3 credits in formal logic 6 credits at the upper level in history of philosophy 3 credits at the upper level in ethics or value theory 6 credits at the upper level in metaphysics, epistemology, or philosophy of science
Application Checklist
  • Online application form
  • Application fee
  • Transcripts from all post-secondary institutions
  • Three letters of recommendation
  • Writing sample (15-20 pages)
  • Statement of intent
  • Evidence of English language proficiency
Specialization Notes

Offers course-only and thesis routes. Focus areas include philosophy of science, mind, ethics, and Asian philosophy.