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2019 Autumn: Theory of Probability and Random Graphs

Course Information

  • Time: Monday: 5, 6, 7, 8
  • Location: Room 440, Institute of Computing Technology, Chinese Academy of Sciences
  • Instructor: Liu, Xingwu (liuxingwu@ict.ac.cn)
  • TAs:
  • Textbook: Probability and Computing by Michael Mitzenmacher, Eli Upfal
  • References: The Probabilistic Method by Joel Spencer, Noga Alon

Grading Policy

  • Homework (40%)
  • Final Exam (50%)
  • Attendance (10%)
  • Bonus (15 points)

Final Exam

The final exam will be held in the Auditorium on the first floor of the ICT on January 13 (14:00 - 17:00). The examination form is open book with five questions. Here are the exam items that need attention.

Lecture Schedule

Date Slides Supplements Homework Solution
2019.10.21 Lecture-1 Monty Hall, Paul Erdos, and Monte Carlo, monty hall problem solution HW-1 HW-1 solution
2019.10.28 Lecture-2 HW-2 HW-2 solution
2019.11.05 Lecture-3 HW-3 HW-3 solution
2019.11.11 Lecture-4 HW-4 HW-4 solution
2019.11.18 Lecture-5 HW-5
2019.11.26 Lecture-6 CMU Lecture Notes HW-6 HW-6 solution
2019.12.02 Lecture-7
2019.12.09 Lecture-8 HW-8 HW-8 solution
2019.12.16 Lecture-9 HW-9 HW-9 solution
2019.12.23 Lecture-10 HW-10 HW-10 solution
2019.12.30 Lecture-11 HW-11 HW-11 solution
2020.01.06 Lecture-12

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Notes and assignments for ICT class: Theory of Probability and Random Graphs, 2019

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