ELEC 2600: Probability and Random Processes in Engineering1Spring 2012Instructor: Prof. Jun ZHANGOffice: Rm 2448 (Lift 25-26)Tel: 2358 7050Email: firstname.lastname@example.orgWebpage: http://www.ece.ust.hk/~eejzhang/
Elec2600 Lecture 12Elec 2600: Lecture 1•Course Details•Models in EngineeringTheir roleTypes of models•Relative Frequency•Packet Voice Transmission Example•Axiomatic Approach to Probability•An Interesting Problem – Winning an iPad
Elec2600 Lecture 13Course 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 proceduresand late penaltieson website (see next slide)
Elec2600 Lecture 14Course Details•Website•http://course.ee.ust.hk/elec2600/•Textbook: •Probability, Statistics and Random Processes for Electrical Engineering, Alberto Leon-Garcia, Addison Wesley, 3rded., 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 understandprobability models used in engineering.•Basic techniques required to developprobability models.Elec2600 Lecture 1
Elec2600 Lecture 16Course Details•Instructional Assistant•ZHANG Xuning, email@example.com•Teaching Assistants:CHEN Shibo, firstname.lastname@example.orgSHI Yuanming, email@example.comLI Tian, firstname.lastname@example.orgPANG Jiahao, email@example.com•Office location and consultation hours will be posted on website•TAs are there to help you – PLEASE USE THEM!
Elec2600 Lecture 17Elec 2600: Lecture 1•Course details•Models in EngineeringTheir roleTypes of models•Relative Frequency•Packet Voice Transmission Example•Axiomatic Approach to Probability•An Interesting Problem – Winning an iPad
Elec2600 Lecture 18Modelling•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 modelis an approximate representation of a physical situation which attempts to explain observed behavior•Good models are simple and understandablepredict all relevantaspects of the situation•Models can help us avoid costly (in time and money) experimentation
Elec2600 Lecture 19Mathematical and Computer Simulation Models•Mathematical model•A set of assumptions about how a system or physical process works.
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