Revised syllabus is on the course website
The rearranged lecture sequence, presenter allocation, homework themes, and project phases are now published.
Sharif University of Technology
From data models and statistical learning to modern deep learning, transformers, and end-to-end ML pipelines.
The rearranged lecture sequence, presenter allocation, homework themes, and project phases are now published.
Undergraduate Foundations of Data Science at the Department of Electrical Engineering, Sharif University of Technology. The course covers data models, databases, visualization, probability and statistics, classical machine learning, deep learning and transformers, generative models, and the practical ML dataflow from processing through monitoring.