EEC 351: Fundamentals of AI/ML

Course Information

• Semester: Autumn Semester 2025-2026
• Instructor: Parikshit Pareek (email: pareek AT ee.iitr.ac.in)
• Lectures: Thu • 03:00–03:55 PM; Fri • 4:05–5:00 PM; (Venue: GB205)
• Office Hours: Tue • 4:05–5:00 PM; (Venue: 214A, EE)
• Piazza: https://piazza.com/indian_institute_of_technology_roorkee/fall2025/eec351
• TA: Rajdeep R. Dwivedi (email: rajdeep_rd AT ece.iitr.ac.in)

📌 Announcements

• 2025‑07‑13: Course Announcements will be posted here regularly. Email notifications will only be sent if information is urgent.
• 2025‑07‑12: Course website launched.

🎯 Course Objectives

• Comprehend the historical evolution and foundational concepts of AI/ML.
• Build mathematical intuition for machine learning principles.
• Explore core theoretical frameworks and evaluation strategies.

📅 Cource Content

📝 Assignments

• Python is the default programming languages for the course. You should use it for programming your assignments unless otherwise explicitly allowed.
• Submit via Moodle or GitHub—- as specified in each assignment.
• Honor Code: Any cases of copying will be awarded a zero on the assignment. More severe penalties may follow.
• Late submissions will incur penalties, as annouced with assignment.

📚 References & Resources

• Recommended Texts:
  • Probabilistic Machine Learning: An Introduction, Kevin Murphy. MIT Press, 2022/2023.
• Supplementary Resources:
  • Coursera ML (Andrew Ng)
  • Relevant paper links on Piazza

🧾 Grading Policy

• CWS (30 Marks)
  • Announced & Surprise Quizzes
  • Assignments & Peer Discussions
• MTE (30 Marks)
  • Written Exam (any format)
• ETE (40 Marks)
  • Written Exam (any format)