ABE - Graduate Student Course Requirements
List of Math, Statistics & Electronics Courses
Math Requirement
Last Modified: February 10, 2014
Our Agricultural and Biological Engineering Graduate Handbook states: “at least one course in mathematics beyond (undergraduate) differential equations is required for the MS degree. One additional math course is required for the Ph.D. degree (effective for Fall 2005 entering students), unless previously taken." A list of acceptable math courses includes the following with other courses which may be considered subject to Graduate Committee approval. A statistics course does not meet the math course requirement even if the statistics course is offered by the Math Department. The math course requirement cannot be taken credit no/credit. If a course is not in this requirement list, it must be requested by the advisor and approved by the Graduate Committee or the DGS prior to taking the course. No course shall be double counted for more than one requirement.
Table 1. List of Math Courses for Ph.D. or M.S. credit.
|
Course (old) |
Credits |
Prerequisite |
Title |
|
Math 442 |
3 or 4 hr |
Math 385 or 441 |
Intro to partial differential equations |
|
Math 489 |
3 or 4 hr |
Math 385 or 441 |
Differential equations II |
|
Math 488 |
4 hr |
Math 380 |
Math methods in engineering |
|
Math 553 |
4 hr |
Consent of instructor |
Partial differential equations |
|
Math 450 or CS 450 or ECE 491 |
3 or 4 hrs |
Math 415, Math 385, 386, or 441 or consent |
Intro to numerical analysis |
|
Math 444 |
3 or 4 hr |
Math 242 or 243; 347 or 348 |
Elementary real analysis |
|
Math 447 |
3 or 4 hr |
Math 242 or 243; 347 or 348 |
Real variables |
|
Math 412 |
3 or 4 hr |
Math 347 or 348 or CS 273 |
Graph theory |
|
Math 413 |
3 or 4 hr |
Math 347 or 348 |
Intro to combinatorics |
|
Math 432 |
3 or 4 hr |
Math 347 or 348 |
Set theory and topology |
|
TAM 541 |
4 |
Math 241, 285 or 380 |
Math Method I |
|
TAM 542 |
4 |
TAM 541 |
Math Method II |
|
|
|
|
|
|
Other courses may be considered |
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Table 2. List of ‘Math’ Courses above Differential equations for M.S. credit in addition to those in Table 1.
|
Course |
Credits |
Prerequisite |
Title |
|
Math 490 |
3 hrs |
Consent of instructor |
Advanced topic in Math |
|
ME 471 or AE 420 or CSE 451 |
3 or 4 hr |
AE 470 or CS101 and ME370 or consent |
Intro to finite element analysis |
|
ChBE 521 |
3 or 4 hr |
Consent of instructor |
Applied math in ChBE |
|
ECE 515 |
4 hr |
ECE 486 or consent |
Control system theory & design |
|
ECE 517 |
4 hr |
ECE 515 |
Nonlinear & adaptive control |
|
|
|
|
|
|
Other courses may be considered |
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NRES 515, Math 415, and Math 463 is not allowed for math credit effective Fall 2005.
500 Level Courses
Our handbook states that a student must take "a 500-level course or courses with a minimum of 3 hours (0.75 units) in the area of specialization (normally not a special problem; no independent Study is allowed)."
Statistical design and analyses
Our handbook states that at least one course in statistical design and analyses must be taken by M.S. students and by Ph.D. students if not previously taken. If the statistics course is taken at the M.S. level, conceivably the Ph.D. student would not be required to take another statistics course, unless the advisor recommends more statistical analysis or design. The statistics course requirement cannot be taken credit no/credit. A possible list of courses is listed in Table 3.
Table 3. Possible Courses in Experimental Design and Statistical Analysis
|
Course |
Credits |
Prerequisite |
Title |
|
ABE 445 |
4 h |
CPSC 440 or Math 363 |
Statistical methods |
|
CPSC 540 |
4 h |
CPSC 440 |
Design and analysis of biol. Experiments |
|
Stat 410 Math 464 |
3 or 4 h |
Stat 400 |
Statistics and probability II |
|
Stat 420 Math 469 |
3 or 4 h |
Stat 400 or 408 |
Methods of applied statistics |
|
Stat 424 Math 365 |
3 or 4 h |
Stat 410 and Math 415 |
Analysis of variance |
|
Stat 425 |
3 or 4 h |
Stat 410 |
Applied regression and design |
|
Stat 458/ANSC448 |
3 h |
|
Math Modeling in Life Sciences |
|
Stat 571 |
4 h |
Stat 410 and Math 415 |
Multivariate analysis |
|
NRES 515 |
5 h |
Math 242 |
Fundamentals of Geostatistics |
|
Stat 530 |
4 h |
Math 225, 241, 242, 461 |
Bioinfomatics |
|
CEE 491 |
3 h |
|
Decision and Risk Analysis |
|
PATH 528 |
4 h |
Regression or equivalent |
Multivariate Biostatistics |
|
|
|
|
|
|
Other courses may be considered |
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Undergrad ABE 440, Stat 400 and Math 463 are not allowed for statistics credit effective with Fall 2005 class. The 400 level courses would still carry graduate credit.
Instrumentation and Measurement
Our handbook states that at least one course in instrumentation and measurement must be taken by M.S. students and by Ph.D. students if not previously taken. If the instrumentation and measurements course is taken at the M.S. level, conceivably the Ph.D. student would not be required to take another instrumentation and measurements course, unless the advisor recommends it for the student’s particular research area.
Table 4. Possible Courses in Instrumentation and Measurement
|
Course |
Credits |
Prerequisite |
Title |
|
ABE 425 |
4 h |
ECE 205 |
Eng Measurement Systems |
|
ME 461 |
3 or 4 h |
ME 360 or ABE 425 |
Design and analysis of biol. Experiments |
|
Chem 420 and 440 |
4 or 5 h |
Must take both |
Instrumental Characterization |
|
ECE 414* |
3 h |
ECE 205 or 210 or consent |
Biomedical Instrumentation |
|
ECE 415* |
2 h |
ECE 414 or concurrent |
Biomedical Instrumentation Lab |
|
Other courses may be considered |
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