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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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