Class Time: M3M4 W1W2
Class Location: EECS R208

Instructor: Prof. Yi-Wen Liu       ywliu(at)ee.nthu.edu.tw
Office location: Delta 828
Instructor Office Hour: Wednesday afternoon or Friday 10am-5pm by appointment. Please sign up in front of my door at Delta 828.

Class TAs:  郝鴻光, 孔繁傑, 吳柏叡, 彭上軒.  
TA Hours: Tue & Thu 7-9pm.  Location: EECS R208. 

Grading Policy:

• Homework assignments: 21% (3% each). Due on Mondays in class. Late HWs are not allowed.
• Midterm exams: 40% (20% each).
• Final exam: 35%.
• Class participation: 4%.
  

Course Announcements:

• This course is now on the NTHU's iLMS system.  If you have simple questions, TAs will be glad to help you in a timely fashion.

Week1	9/17		Introduction to Probability. Chapter 1: Review of set theory.
	9/19		Axioms of probability.
Week2	9/24		Continuity of probability functions.
	9/26		(Supplement) theory of infinite sets.
Week3	10/1	HW#1 Due	Chapter 3: Conditional probability.
	10/3		Bayes rule. Independence.
Week4	10/8		Chapter 4: random variables, distribution functions.
	10/10		國慶日放假
Week5	10/15	HW#2 Due	Discrete r.v. Expected value. Variances.
	10/17		Chapter 5: Bernoulli and Binomial r.v.
Week6	10/22		期中教學意見反應週(至11月2日止)
	10/24		Poisson Random variables; Poisson processes
Week7	10/29	HW#3 Due	Binomial demo (.ppt) Poisson demo (.ppt)
	10/31		Geometric random variables
Week8	11/5		Midterm #1 (Covering Ch. 1, 3, 4, and part of 5)
	11/7		Chapter 6: Continuous r.v.
Week9	11/12		Expectations and variances.
	11/14		Methods of transformation.
Week10	11/19	HW#4 Due	Chapter 7. Normal random variables.
	11/21		全校運動大會, 停課一天
	11/22?		[補12/12的課] Demo (.ppt): Gaussian approximation of binomial distribution.
Week11	11/26		Exponential random variables. Other special distributions.
	11/28		Chapter 8: bivariate distributions
Week12	12/3	HW#5 Due	Independent random variables. Conditional distributions.
	12/5		Transformation of bivariate distributions.
Week13	12/10		老師出國, 另擇於11月底補課.
	12/12		Midterm #2 (Covering 5.3-8.3)
Week14	12/17		Chapter 10: correlation and covariance.
	12/19		Bivariate normal distributions
Week15	12/24	HW#6 Due	(Supplement) Random vectors and linear combinations
	12/26		Chapter 11: Laws of Large Number. moment-generating functions.
Week16	12/31		新年調整放假
	1/2		Central Limit Theorem.
Week17	1/9	HW#7 Due	(Supplement) Probability space, sigma field, and an introduction to measure theory
	1/11		Review and Preview.
Week18	1/14		Final exam (Covering the entire semester)