Answers to common course questions.
The Assignments page lists Homework 1–6 (probability through time series), project Phases 1–3, and the final presentation. Each item can name its responsible TA(s). Deadlines and handouts will appear when published; do not assume dates until they are posted.
Due dates are not yet published in the revised syllabus spreadsheet. Watch Announcements and the Assignments page; upcoming deadlines will surface on Home once dueAt values are set in the course content.
See the Syllabus page for overview, structure, and grading notes, and the Lectures page for the revised topic sequence with presenters and workshop themes.
Dr. Babak Hossein Khalaj covers introduction, data models, databases, visualization, ML dataflow modules, and causality. Dr. Amir Hossein Saberi covers statistical learning, deep learning, transformers and small LLMs, generative/diffusion models, and modern time series. Details appear on each lecture summary and on the Staff page.
Mohammad Eshtehardian is the Head Teaching Assistant. Email and Telegram appear on the Staff page when published.
Use the email and Telegram links on the Staff page when listed. For a specific homework or project phase, prefer the responsible TA named on that item on the Assignments page.
Workshop themes include Python, NumPy, Pandas, Matplotlib, Seaborn, SQL, web scraping, scikit-learn, PyTorch, TensorFlow, NetworkX, and Plotly. Start from the Resources page for official documentation links.
