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 
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 
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 500level 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 
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 