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Probability
Spring 2011

⇒ to time table and download of class material

News

• Class Evaluation: The class evaluation will be online between 1 and 17 June. I would very much appreciate your feedback, so please spend a couple of minutes to fill out the online form. Thanks!
• Final Exam: The final exam will take place on
  • Wednesday, 22 June, 10:10–13:00 (Note that this is one hour longer than usual!)
  Regulations:
  • open book: any book is allowed
  • not allowed are: any telecommunication devices like mobile phones, any laptop with wireless capabilities, any "friend", or any other help from outside...
  • covered material: everything covered in class except Gaussian stochastic processes
• Mid-Term Exam: The mid-term exam will take place on
  • Wednesday, 20 April, 10:10–13:00 (Note that this is one hour longer than usual!)
  Regulations:
  • open-book: any book, notes, and exercises are allowed
  • not allowed are: any telecommunication devices like mobile phones, any laptop with wireless capabilities, any "friend", or any other help from outside...
  • covered material: everything covered in class until 13 April (derived distributions), i.e., Chapters 1 to 3 (first edition) or Chapters 1 to 4.1 (second edition)
• Change of TAs: For administrative reasons we had to change the TAs of this class. Please see the TA-section below for more details.

Course Objectives

This course is an introduction to probability. Its goal is to give the students a profound knowledge about probability theory and some of its important applications. We will cover the following subjects:

• Sample Space and Probability
  • probabilistic models and conditional probability
  • total probability and Bayes' Rule
  • independence
• Discrete Random Variables (RV)
  • probability mass function (PMF)
  • transforming RVs
  • expectations
  • joint PMF
  • conditioning and independence
• General Random Variables
  • probability density function (PDF) and cumulative distribution function (CDF)
  • joint PDF
  • Gaussian RVs
  • conditioning
  • transforming RVs
  • sum of random number of independent RVs
  • least squares estimation
• Stochastic Processes
  • Bernoulli process
  • Poisson process
  • Markov chains
• Limit Theorems
  • Markov and Chebyshev inequalities
  • weak and strong law of large numbers
  • convergence
  • ergodicity
  • central limit theorem

For more detail see the time table below.

We believe that this course is essential for any engineer and we very much hope that a student who finishes the course will feel comfortable with the theory and can apply it.

Prerequisites

The following lectures/topics are recommended:

• basic math from high-school

Instructor

Prof. Stefan M. Moser
Engineering Building IV, Office 727
phone: 03-571 21 21 ext. 54548
e-mail:

Teaching Assistants

In case you would like to discuss some questions in Chinese, you may contact the TAs of this class:

	Kuo Yuan-Chu	Chang Hui-Ting
e-mail:
office:	Engineering Building IV, Office 716A (ED716A)	Engineering Building IV, Office 716A (ED716A)
phone:	03-571 21 21 ext. 54630	03-571 21 21 ext. 54630
office hours:	on appointment	on appointment

To make our and your life easier, let's agree on the following rule: You may contact or visit the TAs at any time also outside of office hours. However, if you haven't made an appointment in advance, they have the right to tell you that they haven't got time right at that moment.

Time and Place

The course is scheduled for 3 hours per week:

• Tuesday, 9:00–9:50 (B), Engineering Building IV, Room B26 (EDB26)
• Wednesday, 10:10–12:00 (CD), Engineering Building IV, Room B26 (EDB26)

The course starts on Tuesday, 22 February, and finishes on Wednesday, 22 June.

Office Hours

NCTU requests that every teacher offers two hours per week where students may come to ask questions:

• Tuesday, 15:30–17:30, Engineering Building IV, Office 727

However, we would like to encourage you to show up in the teacher's or teaching assistant's office at any time in case you have questions about the class or related subjects. Moreover, we are always available during and after classes.

Textbook

Dimitri P. Bertsekas, John N. Tsitsiklis: "Introduction to Probability," Athena Scientific, Massachusetts, 2002 (first edition) or 2008 (second edition).

For certain topics there will be additional handouts during class.

Exercises

Every week, an exercise will be distributed in class and also made available online for download. This exercise will consist of several problems that need to be solved at home and handed in during the class of the following week. A model solution will be distributed in class and made available online afterwards.

We believe the exercises to be extremely important and crucial to the understanding of the course. They also serve as a preparation for the mid-term and final exams and we therefore highly recommend to solve them. To pass the course you need to hand in at least 10 exercises.

Exams

There will be one mid-term and one final exam. Both exams are going to last three hours and be open-book. Details about the covered material will be published in due time.

Grading

The grade will be an average of

• the homework and class participation (15%),
• the mid-term exam (35%), and
• the final exam (50%).

The grade of the homework will not be based on the correctness of the answers, but rather on the effort the student shows in trying to solve them. Moreover, I will try to reward students who participate actively in the course.

This course is worth 3 credits.

Special Remarks

The lecture will be held in English.

Time Table

Note that some details of this program might change in the course of the semester.

Note that some linked documents in this table can only be downloaded from within NCTU and NTHU!

-||-   _|_ _|_     /    __|__   Stefan M. Moser
[-]     --__|__   /__\    /__   Senior Scientist, ETH Zurich, Switzerland
_|_     -- --|-    _     /  /   Adjunct Professor, National Yang Ming Chiao Tung University, Taiwan
/ \     []  \|    |_|   / \/    Web: https://moser-isi.ethz.ch/