(3 intermediate revisions by the same user not shown)
Line 1: Line 1:
 +
[[Category:ECE CNSIP area]]
 +
[[Category:advice]]
 +
 
=Some advice to help CNSIP graduate students fill out their plan of study=
 
=Some advice to help CNSIP graduate students fill out their plan of study=
  
Line 4: Line 7:
 
==If you are a master's degree student:==
 
==If you are a master's degree student:==
 
* I personally do not recommend taking the thesis option. --[[User:Mboutin|Mboutin]] 17:07, 16 January 2009 (UTC)
 
* I personally do not recommend taking the thesis option. --[[User:Mboutin|Mboutin]] 17:07, 16 January 2009 (UTC)
 +
* A typical plan of study for a first semester Signal Processing Grad Student (MS or PhD) is: ECE600, ECE538, MA511
 +
* Note that MA527 and MA528 are '''not''' acceptable for ECE graduate students in the CNSIP area
  
 
==If you are a direct PhD student interested in the signal processing area==
 
==If you are a direct PhD student interested in the signal processing area==
 
*Consider taking ECE600 in addition to two other courses during your first semester. ECE600 is a prerequisite to a lot of other courses and a basic tool in CNSIP, but it can be challenging. Many students also take ECE538 and a math course such as MA511 that semester.
 
*Consider taking ECE600 in addition to two other courses during your first semester. ECE600 is a prerequisite to a lot of other courses and a basic tool in CNSIP, but it can be challenging. Many students also take ECE538 and a math course such as MA511 that semester.
 
 
* A typical plan of study for a first semester Signal Processing Grad Student (MS or PhD) is: ECE600, ECE538, MA511
 
* A typical plan of study for a first semester Signal Processing Grad Student (MS or PhD) is: ECE600, ECE538, MA511
  
Line 22: Line 26:
 
*MA528: Advanced Mathematics For Engineers And Physicists II
 
*MA528: Advanced Mathematics For Engineers And Physicists II
 
**If you put these courses on your plan on study, then I won't sign it. --[[User:Mboutin|Mboutin]] 17:03, 16 January 2009 (UTC)
 
**If you put these courses on your plan on study, then I won't sign it. --[[User:Mboutin|Mboutin]] 17:03, 16 January 2009 (UTC)
 +
 +
[[ECE:CNSIP_area|Back to the CNSIP area page]]

Latest revision as of 12:06, 30 September 2009


Some advice to help CNSIP graduate students fill out their plan of study

If you are a master's degree student:

  • I personally do not recommend taking the thesis option. --Mboutin 17:07, 16 January 2009 (UTC)
  • A typical plan of study for a first semester Signal Processing Grad Student (MS or PhD) is: ECE600, ECE538, MA511
  • Note that MA527 and MA528 are not acceptable for ECE graduate students in the CNSIP area

If you are a direct PhD student interested in the signal processing area

  • Consider taking ECE600 in addition to two other courses during your first semester. ECE600 is a prerequisite to a lot of other courses and a basic tool in CNSIP, but it can be challenging. Many students also take ECE538 and a math course such as MA511 that semester.
  • A typical plan of study for a first semester Signal Processing Grad Student (MS or PhD) is: ECE600, ECE538, MA511


If you are a PhD student (direct or with an MS) you should select your plan of study to prepare for the QE!

Check the QE questions. Each QE question in CNSIP corresponds to a graduate course. You should:

  1. Select the QE questions you would like to take. (4 total with at least 1 out of area and at least 2 in area.)
  2. Make sure that your plan of study contains each corresponding course.

Normally, incoming PhD students take the QE in August, so you only have 2 semesters to prepare!

Note that the following math courses are not acceptable for ECE graduate students in the CNSIP area

  • MA527: Advanced Mathematics For Engineers And Physicists I
  • MA528: Advanced Mathematics For Engineers And Physicists II
    • If you put these courses on your plan on study, then I won't sign it. --Mboutin 17:03, 16 January 2009 (UTC)

Back to the CNSIP area page

Alumni Liaison

BSEE 2004, current Ph.D. student researching signal and image processing.

Landis Huffman