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 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

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