Fall

 Integrated Transport Phenomena (CH E 554)
 Transport Phenomena I (CH E 356)
 Instrumentation for Ag & Biosystems Engineering (A B E 504)
*Biosensors (B M E 450)
 Electronics, Microelectronics, & Photonics (E E 530)
 Fundamentals of Remote Sensing (C R P 454/554)

Spring

 Advanced Machine Design (M E 517)
 Modeling and Simulation (M E 475)
*Data Analytics and Machine Learning for Cyber-Physical Systems Applications (M E 592X)
*Advanced Topics (e.g., Visual Sensing and Sensemaking) (A B E 690)
 Machine Vision (M E 556)
 Machine Learning (COM S 573)

Fall

 Plant Molecular, Cell and Developmental Biology (GDCB 545)
*Plant Metabolism (GDCB/PLBIO 513)
 Crop Genetics (AGRON 506)
 Molecular Biology of Plant-Pathogen Interactions (PL P 692)
*Population & Quantitative Genetics for Breeding (AGRON 561/An S 561)
*Principles of Cultivar Development (AGRON 521)
 Applied Plant Molecular Genetics & Biotechnology (AGRON 524)
 Introduction to Plant Breeding (AGRON 421)
*Transmission Genetics (GDCB 510)
 Molecular Virology (PL P 608)
 Principles of Plant Pathology (Pl P 508)

Spring

*Molecular Genetics (GDCB 511)
 Global Change (AGRON 504)
 Bacterial-Plant Interactions (PL P 477)
 Crop Physiology (AGRON 516)
 Quantitative Genetics for Plant Breeding (AGRON 528)
 Principles of Plant Pathology (Pl P 508)
 Plant Virology (Pl P 509)

Fall

 Software Tools for Large Scale Data Analysis (CPR E 419)
 Pattern Recognition (E E 547)
 Principles of Artificial Intelligence (COM S 572)
 Algorithms for Large Data Sets: Theory & Practice (COM S 535)
 High Performance Computing for Science & Engineering Applications (CPR E 425)
*Bioinformatics I: Bioinformatics Algorithms (BCB 567)
 Fundamentals of Remote Sensing (C R P 454)
 GIS Programming and Automation (C R P 456)
 Fundamentals of Bioinformatics (GDCB 544)
*Crop and Soil Modeling (AGRON 525)
Big Data Analytics & Optimization (IE 487/587)
Data Science & Analytics for Agricultural and Biosystem Engineers (ABE 516X)
*Computational Skills for Biological Data (EEOB/BCB 546X) (pdf)

Spring

 Bioinformatics IV: Systems Biology (BCB 570)
*Bioinformatics II: Statistical Bioinformatics (BCB 568)
*Bioinformatics I: Bioinformatics Algorithms (BCB 567)
 Evolutionary and Ecological Genomics (EEOB 561)
 Machine Learning (COM S 573)
 Applied Modern Multivariate Statistical Learning (STAT 502)
 Exploratory Methods and Data Mining (STAT 503)
 Statistical Methods for Spatial Data (STAT 406)
 Fundamentals of Systems Biology and Network Science (BCBIO 402)
*Data Analytics and Machine Learning for Cyber-Physical Systems Applications (M E 592X)