Department of Agricultural and Biological Engineering
Our Programs

List of Math, Statistics & Electronics Courses

(For the Program of Agricultural and Biological Engineering, not applied to TSM)

Math Requirement

Last Modified: August 22, 2011

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.

Table 1. List of Math Courses for Ph.D. or M.S. credit.

Course (old) Credits Prerequisite Title
Math 442 (342) 3 or 4 hr Math 385 or 441 Intro to partial differential equations
Math 489 (385 ) 3 or 4 hr Math 385 or 441 Differential equations II
Math 488 4 hr Math 380 Math methods in engineering
Math 553 (444) 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 Math issues in national security II
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 500-level course or courses with a minimum of 3 hours (0.75 units) in the area of specialization (normally not a special problem)."

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 423 4 or 5 h   Electronic Circuits I
ECE 414* 3 h ECE 205 or 210 or consent Biomedical Instrumentation
ECE 415* 2 h ECE 414 or concurrent Biomedical Instrumentation Lab
ECE 442 ** 3 h ECE 210 and 440 Electronic circuits
ECE 443 ** 1 h Concurrent registration in ECE442 Electronic circuits Lab
       
Other courses may be considered

* both taken together, ** both taken together