The Graduate Certificate in Computational Plant Science provides interdisciplinary training that intersects plant biology and computational and data sciences. The certificate address pressing problems in their respective fields and synthesizes these disciplines to address vast challenges in plant biology.
Requirements for the Graduate Certificate in Computational Plant Science
Students must complete a minimum of 9 credits from the following:
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All of the following courses (7 credits): |
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CSS |
844 |
Frontiers in Computational and Plant Sciences |
3 |
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HRT |
841 |
Foundation in Computational and Plant Sciences |
3 |
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PLB |
843 |
Forum in Computational and Plant Sciences |
1 |
| 2. |
Complete a minimum of 2 credits from the following courses: |
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Biologists relevant courses: |
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CMSE |
491 |
Selected Topics in Computational Mathematics, Science, and Engineering |
1 to 4 |
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CMSE |
801 |
Introduction to Computational Modeling |
3 |
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CMSE |
820 |
Mathematical Foundations of Data Science |
3 |
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CMSE |
822 |
Parallel Computing |
3 |
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CMSE |
823 |
Numerical Linear Algebra |
3 |
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CMSE |
890 |
Selected Topics in Computational Mathematics, Science, and Engineering |
1 to 4 |
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Non-Biologists relevant courses: |
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BMB |
801 |
Molecular Biology |
3 |
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BMB |
978 |
Seminar in Biochemistry |
1 |
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HRT |
894 |
Horticulture Seminar |
1 |
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IBIO |
445 |
Evolution (W) |
3 |
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PLB |
400 |
Introduction to Bioinformatics |
3 |
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PLB |
801 |
Foundations of Plant Biology |
3 |
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PLB |
812 |
Principles and Applications of Plant Genomics |
3 |