Difference between revisions of "ESE297 - Intro to Undergraduate Research"

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* Team Members: Alex Gu, Alexander Benjamin, Anisha Rastogi, Charlie Kang, Edison Kociu, Lisa Goldman, Michael Scholl, Sam Fok, Sarah Fern, Sophia (Xinyuan) Cui, Will Donnelly
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[[File:IMG_1248.jpg|400px]]
* PhD Supervisor: Sandeep, Andrew, Phani
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* Faculty Supervisor: Arye Nehorai
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ESE297 - Introduction to Undergraduate Research was created for students who wish to do Undergraduate Research projects in [[media:Robotic_Sensing_V4.pdf|Robotic Sensing]] under [http://ese.wustl.edu/people/Pages/faculty-bio.aspx?faculty=11 Professor Nehorai], the ESE Department Chair. This course is offered as ESE297 for 2 credits and is typically offered in the spring and summer. Students will learn how to implement sensor array signal processing algorithms on the [[LabVIEW for Robotics|LabVIEW for Robotics Starter Kit robots]] shown above using both Matlab and LabVIEW and develop Brain Computer Interface (BCI) algorithms using EEG signals. Students can then apply this knowledge to individual research projects in Robotic Sensing in subsequent semesters. ESE297 does not qualify as an EE elective.
* Goal:
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== Logistics ==
** Part1: Case Study - Study acoustic source localization using Microphone array
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* '''Meeting Time''': Fri, 1:30-5:30 in Bryan 316
*** Background and Theory
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* '''Holidays''': Fall Break, Thanksgiving
*** Data Acquisition Basics
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* '''Instructor''': Ed Richter, Bryan 201E
*** Introduction to Digital Signal Processing Tools
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* '''T/A''': Stephen Gower (sgower@wustl.edu)
*** Graphical User Interface and Robot Control
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* '''Office Hours''': Mon,Tues 2:30-4 (Ed), Thurs 8-10pm (Steve)
** Part2: Implement algorithm using sbRIO robot and microphone array
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* '''[[media:Syllabus-FL15.pdf‎ |Syllabus]]'''
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* '''Expectations''': The work load is estimated to be 10 hours/week if you take it during the Fall or Spring semesters (20 hours/week for a summer semester). That is, students who earn an A will spend many unsupervised hours outside of the class meeting times. Grading is based on your Homework and your Projects. Late work will be accepted with a penalty of 3 points per day. Please see the syllabus for due dates.
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= Announcements =
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* Matlab available for Students now! Send email to support@seas.wustl.edu
 
== Lecture Notes ==
 
== Lecture Notes ==
* Week 1: Accoustic Source Location Background and Theory
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* [[Accostic Source Location]]
** Task 1
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* [[Data Acquisition Basics]]
* Week 2: Data Acquisition Basics
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* [[Signal Processing Basics]]
** LabVIEW Tutorial
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* [[Brain Computer Interface (BCI)]], [[media:BCI2000.zip|BCI2000.zip]]
** Task 2
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== Projects ==
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* [[Project1:_Implement_algorithm_using_microphone_array| Project1: Implement algorithm using microphone array]]
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* [[Project2:_Triangulation_with_sbRIO_robots|Project2: Triangulation with sbRIO robots]]
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* [[BCI Projects]]
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== 2013 Upgrade work-around ==
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* Copy [[media:RobotMicSourceLocator.vi|RobotMicSourceLocator.vi]] to RoboticSensing\MicSourceLocator
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* Copy [[media:MoveWheels (Host).vi|MoveWheels (Host).vi]] to RoboticSensing\Examples\MoveWheels (Host).vi (***NOTE*** Change '_' to ' ')
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* Copy [[media:MoveRobot.vi|MoveRobot.vi]] to RoboticSensing\MicSourceLocator

Latest revision as of 18:44, 2 October 2015

IMG 1248.jpg

ESE297 - Introduction to Undergraduate Research was created for students who wish to do Undergraduate Research projects in Robotic Sensing under Professor Nehorai, the ESE Department Chair. This course is offered as ESE297 for 2 credits and is typically offered in the spring and summer. Students will learn how to implement sensor array signal processing algorithms on the LabVIEW for Robotics Starter Kit robots shown above using both Matlab and LabVIEW and develop Brain Computer Interface (BCI) algorithms using EEG signals. Students can then apply this knowledge to individual research projects in Robotic Sensing in subsequent semesters. ESE297 does not qualify as an EE elective.

Logistics

  • Meeting Time: Fri, 1:30-5:30 in Bryan 316
  • Holidays: Fall Break, Thanksgiving
  • Instructor: Ed Richter, Bryan 201E
  • T/A: Stephen Gower (sgower@wustl.edu)
  • Office Hours: Mon,Tues 2:30-4 (Ed), Thurs 8-10pm (Steve)
  • Syllabus
  • Expectations: The work load is estimated to be 10 hours/week if you take it during the Fall or Spring semesters (20 hours/week for a summer semester). That is, students who earn an A will spend many unsupervised hours outside of the class meeting times. Grading is based on your Homework and your Projects. Late work will be accepted with a penalty of 3 points per day. Please see the syllabus for due dates.

Announcements

  • Matlab available for Students now! Send email to support@seas.wustl.edu

Lecture Notes

Projects

2013 Upgrade work-around