All dates and times are central time zone.
Lecture Date
Readings (4th ed)
Tue, Jan 18
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Introduction
Thu, Jan. 20
Quantifying Uncertainty
Tue, Jan. 25
Probabilistic Reasoning
Ch 13.1-13.2
Thu, Jan. 27
Probabilistic Reasoning, Exact Inference
Tue, Feb. 1
Probabilistic Reasoning, Approximate Inference
Homework 1 posted
Thu, Feb. 3
Probabilistic Reasoning Over Time
Ch 14.1-14.2
Tue, Feb. 8
Probabilistic Reasoning Over Time
Ch 14.2-14.4
Thu, Feb. 10
Probabilistic Reasoning Over Time
Ch 14.4-14.5
Homework 1 due
Tue, Feb. 15
Simple Decisions
Homework 2 posted
Thu, Feb. 17
Simple Decisions
Tue, Feb. 22
Complex Decisions
Ch 17.1-17.2
Thu, Feb. 24
Complex Decisions
Ch 17.4-17.5, Ch 18
Homework 2 due
Homework 2 deadline extended to Feb 25
Tue, Mar. 1
Exam 1 Review
Exam 1 posted
Thu, Mar. 3
No Lecture – Exam 1
Exam 1 due
Tue, Mar. 8
No Lecture – Spring Break
Thu, Mar. 10
No Lecture – Spring Break
Tue, Mar. 15
Learning from Examples
Ch 19.1-19.3
Homework 3 posted
Thu, Mar. 17
Learning from Examples
Ch 19.4-19.6
Tue, Mar. 22
Learning from Examples
Ch 19.7-19.8
Thu, Mar. 24
Learning Probabilistic Models
Ch 20.1-20.2
Tue, Mar. 29
Learning Probabilistic Models
Homework 3 due
Thu, Mar. 31
Deep Learning
Ch 21.1-21.2
Tue, Apr. 5
Deep Learning
Ch 21.3-21.4
Homework 4 posted
Thu, Apr. 7
Deep Learning
Ch 21.5-21.8
Tue, Apr. 12
Reinforcement Learning
Ch 22.1-21.2
Thu, Apr. 14
Reinforcement Learning
Ch 22.3-22.4
Tue, Apr. 19
Reinforcement Learning
Homework 4 due
Thu, Apr. 21
Reinforcement Learning
Tue, Apr. 26
Exam 2 Review and Conclude
Exam 2 posted
Thu, Apr. 28
No Lecture – Exam 2
Exam 2 due
¡ñ Homework (60%): 4 homeworks (15% each) which will include both theoretical and programming questions. All programming must be written in Python 3.6+ and code must be provided. Code must run on cselabs machines.
¡ñ Exams (40%): 2 take-home exams (20% each).
程序代写 CS代考 加微信: powcoder QQ: 1823890830 Email: powcoder@163.com