Week 1

• Mon 1/4: Lecture 1: overview, asymptotics
• Wed 1/6: Lecture 2: asymptotics
• Fri 1/8: Section: probability/optimization review

Week 2

• Mon 1/11: Lecture 3: asymptotics
• Mon 1/11: Homework 0 (warmup) due
• Wed 1/13: Lecture 4: asymptotics
• Fri 1/15: Section: asymptotics

Week 3

• Mon 1/18: no lecture (Martin Luther King Day)
• Wed 1/20: Lecture 5: uniform convergence
• Wed 1/20: Homework 1 (asymptotics) due
• Fri 1/22: Section: uniform convergence

Week 4

• Mon 1/25: Lecture 6: uniform convergence
• Wed 1/27: Lecture 7: uniform convergence
• Fri 1/29: Section: uniform convergence

Week 5

• Mon 2/1: Lecture 8: uniform convergence
• Wed 2/3: Lecture 9: uniform convergence
• Wed 2/3: Paper review 1 due
• Fri 2/5: Section: kernel methods

Week 6

• Mon 2/8: Lecture 10: kernel methods
• Wed 2/10: Lecture 11: kernel methods
• Wed 2/10: Homework 2 (uniform convergence) due
• Fri 2/12: Section: kernel methods

Week 7

• Mon 2/15: no lecture (Presidents Day)
• Wed 2/17: Lecture 12: kernel methods
• Fri 2/19: Section: exam review

Week 8

• Mon 2/22: Lecture 13: online learning
• Wed 2/24: Lecture 14: online learning
• Thu 2/25: Exam (6-9pm, in 420-041)

Week 9

• Mon 2/29: Lecture 15: online learning
• Wed 3/2: Lecture 16: online learning
• Wed 3/2: Homework 3 (kernel methods, online learning) due

Week 10

• Mon 3/7: Lecture 17: online learning
• Wed 3/9: Lecture 18: conclusion
• Sun 3/13: Paper review 2 due
• Fri 3/18: Final project due (if you didn’t do paper review 2)