ece 302: lecture 00 introduction - college of engineering · ece 302: lecture 00 introduction fall...

c©Stanley Chan 2017. All Rights Reserved.

ECE 302: Lecture 00 Introduction

Fall 2017

Prof Stanley Chan

School of Electrical and Computer EngineeringPurdue University

https://engineering.purdue.edu/ChanGroup/ECE302

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The Era of Big Data!

http://i1.wp.com/olap.com/wp-content/uploads/2013/11/bigstock-Big-data-concept-in-word-tag-c-49922318.jpg

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What is Big Data?

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Example: Image Classification

I Data: Training data containing cat and grass.

I Model: Describe the raw data using statistical models.

I Algorithm: Perform learning, inference and prediction.

I Computing: Store and execute the tasks.

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Statistics

The science of making sense of data!

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Why study statistics?

... Using fancy tools like neural nets, boosting, and support vectormachines without understanding basic statistics is like doing brain

surgery before knowing how to use a band-aid...

Larry Wasserman, “All of Statistics”

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ECE 302

An introductory course in probability and statistics.

Chapters in Course Note:

I Mathematics review (ch.1)

I Basic probability (ch.2)

I Discrete random variables (ch.3)

I Continuous random variables (ch.4)

I Joint distributions (ch.5)

I Large sample limits (ch.6)

I Estimation (ch.7)

I Random processes (ch.8)

I Random processes through linear systems (ch.9)

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Teaching Staff

Instructor: Prof Stanley Chan; MSEE 338Office Hour: M 4:30-5:30

TA: I-Fan Lin (PhD, Communication Systems); EE 208Office Hour: Tue 10-12, Fri 10-11:30

Discussion Session: Let’s voteThu 10-11, Thu 11-12, Thu 12-1, Thu 1-2Room: TBD

Grader: Jianhang Chen (PhD, Robotics)

Project Assistants: (For projects only)Joon Hee Choi, MSEE 370, (PhD, Big Data)Xiran Wang, MSEE 370, (PhD, Computational Imaging)Omar Elgendy, MSEE 370, (PhD, Computational Imaging)Office Hour: Wed 4:30-5:30, Thu 4:30-5:30

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Homework 10%

I Every week. Check website for date.

I Due at 11:59am. MSEE 330 dropbox

I Staple your homework. Otherwise ZERO

I We will drop your worst 2 homework

I Coarse grading: Full / partial+ / partial- / zero.

I First homework is up. Due Friday.

I Watch homework videos on the course website.

I Do homework. If no/little effort in homework,your grade will be F.

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Project 15%

I Three MATLAB projects

I Real applications of ECE 302

I We will not teach them in class

I You have to learn by yourselves

I Require basic programming skills

I Project assistants are available for help

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Exam

I 2 mid terms (15% each); 1 final (45%)

I Closed book, closed note

I No electronics, of any kind

I Formula sheet will be given

I Exam dates are listed in the syllabus

I Evening exams

I We will cancel two lectures

I No make up exam

I DO NOT TRAVEL BEFORE FINAL EXAM

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Grades

Curved, but usually minor.Typical grades:

I A: > 85

I B: 75 − 84

I C: 60 − 74

I D: 50 − 59

I F: < 50

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Past Comments from Students

I “... the first day of class he said this is going to be thehardest class you’ve taken and he was not kidding ...”

I “... I really enjoyed having Professor Chan as my instructorfor 302. He presents material in a way that is easy tounderstand, and he really tries to help his students succeed...”

I “... He really puts a ton of effort into teaching the course. Hemakes the course interesting and has a great sense of humor.His notes are great...”

I “... he moves through topics very quickly and sometimes it isdifficult to keep up with his lecture pace ...”

I “... thoroughly depressing and miserable is a betterdescription for this class ...”

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Office Hour Policy

I Your First Contact: Teaching Assistant

I Project / Programming: Project Assistants

I Things the above cannot help: Prof Chan

I Do NOT bring homework to my office / TAsoffice and work there, even if it is office hourand no other students are here.

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Office Hour Policy

I Q: “I dont understand topic ABC, can you explain it oncemore?”A: Yes, certainly.

I Q:“I have absolutely no idea about how to solve Problem X.”A: Please watch video first.

I Q:“I have some thoughts but the answer is different from myfriends. Can you help me?”A: Definitely.

I Q:“I missed a class last week. Can you repeat the lecture forme?”A: NO!

I Q:“Will topic XYZ be covered in exam?”A: Check course website.

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Cell Phone Policy

No Cell Phone Camera at ANY time.

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Course Material Copyrights

I All course materials are for ECE 302 studentsonly.

I Prof Chan owns the copyright, not you.

I You are legally NOT allowed to upload any ECE302 material to commercial websites, e.g.,course hero.

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Plagiarism

I I respect you as adults

I Do NOT copy and paste (or any variation)

I Do NOT cheat in exams

I Do NOT steal someones idea

I I have ZERO tolerance against plagiarismI If you got caught for plagiarism, you will

I Get F in the courseI Be sent to Office of Student Rights and Responsibilities

(OSRR)I Worst case: Be kicked out from Purdue

I If you collaborate with a friend on projects, stateit clearly on your reports.

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Questions?

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Birthday ProblemThere are 72 students in this classroom. What is the probabilitythat there is at least one pair of students having the samebirthday?

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Birthday Problem

For how many students will the probability be larger than 99%?

50 100 150 200 250 300 350

Number of Students

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

Pro

ba

bili

ty

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Birthday Problem

I The spirit of probability: Average case VS Worst case

I We will analyze this behavior in the course

I Try homework 1

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ece 302: lecture 00 introduction - college of engineering · ece 302: lecture 00 introduction fall...

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