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GN 820 Special Problems

³Ò±·Ìý820ÌýÌýSpecial ProblemsÌýÌý(1-6 credit hours)ÌýÌý

Special topics designed for additional experience and research training.

Prerequisite: Advanced Graduate standing

Typically offered in Fall and Spring

Genetics and Genomics (MR)

/graduate/interdisciplinary/genetics-genomics/genetics-genomics-mr/

1 Students can also take a more advanced statistics course, such as  ST 512 Statistical Methods For Researchers II 2 Other courses that do not appear on this list may be counted with the approval of the DGP.  This course may not be a statistics or data science class that is not focused heavily on Genetics and/or Genomics data.  Examples of potential courses are:  BIO 562 Fundamentals of Bioinformatics ,  BIT 815 Advanced Special Topics  (Deep Sequencing Analysis,  GGS 771 Data Science for Genetics & Genomics ,  GN 756 Computational Molecular Evolution ,  GN 757 Quantitative Genetics Theory and Methods ,  ST 590 Special Topics  (Bioinformatics II),  ST 721 / GN 721 Genetic Data Analysis 3 Other courses that do not appear on this list may be counted with the approval of the DGP. Examples of potential courses are:  GGS 840 Professional Development & Ethics in Genetics & Genomics , GES 5** Genetic Engineering and Society,  PHI 816 Introduction to Research Ethics ,  TOX 820 Special Problems In Toxicology 4 Students will work with their advisor to select Advised Electives appropriate for their academic and professional goals. At most 3 credits of research may be used in the Advised Elective category.

Genetics and Genomics (MS)

/graduate/interdisciplinary/genetics-genomics/genetics-genomics-ms/

1 Students can also take a more advanced statistics course, such as  ST 512 Statistical Methods For Researchers II 2 Other courses that do not appear on this list may be counted with the approval of the DGP.  This course may not be a statistics or data science class that is not focused heavily on Genetics and/or Genomics data.  Examples of potential courses are:  BIO 562 Fundamentals of Bioinformatics ,  BIT 815 Advanced Special Topics  (Deep Sequencing Analysis,  GGS 771 Data Science for Genetics & Genomics ,  GN 756 Computational Molecular Evolution ,  GN 757 Quantitative Genetics Theory and Methods ,  ST 590 Special Topics  (Bioinformatics II),  ST 721 / GN 721 Genetic Data Analysis 3 Other courses that do not appear on this list may be counted with the approval of the DGP. Examples of potential courses are:  GGS 840 Professional Development & Ethics in Genetics & Genomics , GES 5** Genetic Engineering and Society,  PHI 816 Introduction to Research Ethics ,  TOX 820 Special Problems In Toxicology 4 Students will work with their advisor to select Advised Electives appropriate for their academic and professional goals. At most 3 credits of research may be used in the Advised Elective category.

Genetics and Genomics (PhD)

/graduate/interdisciplinary/genetics-genomics/genetics-genomics-phd/

1 Students can also take a more advanced statistics course, such as  ST 512 Statistical Methods For Researchers II 2 Other courses that do not appear on this list may be counted with the approval of the DGP.  This course may not be a statistics or data science class that is not focused heavily on Genetics and/or Genomics data.  Examples of potential courses are:  BIO 562 Fundamentals of Bioinformatics ,  BIT 815 Advanced Special Topics  (Deep Sequencing Analysis,  GGS 771 Data Science for Genetics & Genomics ,  GN 756 Computational Molecular Evolution ,  GN 757 Quantitative Genetics Theory and Methods ,  ST 590 Special Topics  (Bioinformatics II),  ST 721 / GN 721 Genetic Data Analysis 3 Other courses that do not appear on this list may be counted with the approval of the DGP. Examples of potential courses are:  GGS 840 Professional Development & Ethics in Genetics & Genomics , GES 5** Genetic Engineering and Society,  PHI 816 Introduction to Research Ethics ,  TOX 820 Special Problems In Toxicology