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**Unformatted text preview: **ELEC 2600: Probability and Random Processes in Engineering 1 Spring 2012 Instructor: Prof. Jun ZHANG Office: Rm 2448 (Lift 25-26) Tel: 2358 7050 Email: eejzhang@ust.hk Webpage: http://www.ece.ust.hk/~eejzhang/ Elec2600 Lecture 1 2 Elec 2600: Lecture 1 Course Details Models in Engineering Their role Types of models Relative Frequency Packet Voice Transmission Example Axiomatic Approach to Probability An Interesting Problem - Winning an iPad Elec2600 Lecture 1 3 Course Details Weekly schedule 2 lectures per week (Wed and Fri 4:30pm - 5:50pm, Rm 3008, Lift 3-4) 2 tutorials per week (Each student only needs to attend one) Wed 12:00pm - 12:50pm, Rm 4504, Lift 25-26 Tue 6:00pm - 6:50pm, Rm 4504, Lift 25-26 Grading: Homework (20%) Mid-Term (30%) + Final (50%) There will be 4 homework assignments Each worth 5% Details of homework submission procedures and late penalties on website (see next slide) Elec2600 Lecture 1 4 Course Details Website http://course.ee.ust.hk/elec2600/ Textbook: Probability, Statistics and Random Processes for Electrical Engineering , Alberto Leon-Garcia, Addison Wesley, 3 rd ed., 2009. Course Details Course Structure Part I: Basic probability theory. (~2-3 weeks) Part II: Single random variables. (~3-4 weeks) Part III: Multiple random variables. (~5 weeks) Part IV: Stochastic processes. (~3 weeks) Objective of the course Basic concepts of probability theory required to understand probability models used in engineering. Basic techniques required to develop probability models. Elec2600 Lecture 1 Elec2600 Lecture 1 6 Course Details Instructional Assistant ZHANG Xuning, eexuning@ust.hk Teaching Assistants: CHEN Shibo, schenab@ust.hk SHI Yuanming, yshiac@ust.hk LI Tian, tli@ust.hk PANG Jiahao, jpang@ust.hk Office location and consultation hours will be posted on website TAs are there to help you - PLEASE USE THEM! Elec2600 Lecture 1 7 Elec 2600: Lecture 1 Course details Models in Engineering Their role Types of models Relative Frequency Packet Voice Transmission Example Axiomatic Approach to Probability An Interesting Problem - Winning an iPad Elec2600 Lecture 1 8 Modelling In engineering as well as in daily life, we are faced with choices Our decisions are based on our belief - our model - of how things will behave A model is an approximate representation of a physical situation which attempts to explain observed behavior Good models are simple and understandable predict all relevant aspects of the situation Models can help us avoid costly (in time and money) experimentation Elec2600 Lecture 1 9 Mathematical and Computer Simulation Models Mathematical model A set of assumptions about how a system or physical process works....

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