Rich Lab:Relevant OSU Courses

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In-development list of OSU courses relevant to our work

Foundation of Statistics (a CPDA course)

  • One of four non-credit courses in the Certification in Practice of Data Analytics program, delivered in a 100% distance learning format. Introduction to statistics includes; a short discussion of where data comes from; data exploration; probability and random variables; the basics of statistical inference (e.g., sampling and inferring upon population parameters using statistics); testing statistical hypotheses and building confidence intervals; and an introduction to regression. Students will use the R software package in this course. 4 CEUs are granted upon successful completion of the course.
  • Start Date: May 10, 2017 / End Date: June 28, 2017
  • Start Date: August 22, 2017 / End Date: October 10, 2017

MVIMG 8040: Mass Spectrometry and Proteomics.

  • Instructor: Dr. Michael A. Freitas, Ph.D. (email:
  • Topics include: Introduction to Mass Spectrometry, Mass Spectrometry Instrumentation, Tandem Mass Spectrometry, Peptide Fragmentation, Interpretation of Mass Spectra, Peptide Mass Fingerprinting, Protein & Peptide Separations, Liquid Chromatography Tandem Mass Spectrometry, Multiple Reaction Monitoring, Bioinformatics and Computations Proteomics, Quantitative Proteomics, and Student Suggested Applications (as time permits).



  • 4511 Introduction to Biological Chemistry: An introductory course in biochemistry dealing with the molecular basis of structure,metabolism, genetic replication, transcription, and translation in plants, animals, andmicroorganisms.

Biomedical Informatics:

  • 5710 Introduction to Biomedical Informatics
    • A survey of biomedical informatics theories and methods employed in the design, implementation and management of information systems supporting basic science, clinical and translational research, clinical care, and public health. Recommended course work in computer science, statistics, anatomy, physiology, and medical terminology.
  • 5730 Introduction to Bioinformatics
    • Introduces students to basic topics of bioinformatics including sequence analyses, proteomics, microarrays, regulatory networks, sequence and protein databases. Recommended background in molecular biology and computer science.
  • 5750 Methods in Biomedical Informatics and Data Science
    • Students will gain a familiarity with methods used during the course of the design, implementation, and evaluation of Biomedical Informatics platforms, and be able to appropriately select and combine such approaches on a project-specific basis. This course will establish an application-oriented understanding of how to appropriately use such methods in order to satisfy project-specific needs and deliverables. The following items will be discussed during the summer-long course: Intro to UML Modeling, Modeling Activities & User Needs, Modeling Driven Architecture, Procedural Programming, Defining Data Types, Managing Collections of Data, Advanced Procedural Programming, Designing and Executing Database Queries, Advanced Query Operations, Web Application Design, and Accessing Databases Using Procedural Languages.
  • Biomedical informatics, BMI7830

Earth Science:

  • 2203 Environmental Geoscience
  • 2155 Energy and the Environment
  • 5719 Environmental Organic Chemistry

Environment and Natural Resources:

Evolution, Ecology and Organismal Biology

  • 7210 Methods in Evolution and Ecology: Essential tools for computational biology
    • Instructors: Bryan Carstens, and Ariadna Morales,
    • Students will be introduced to the command line, remote computing, basic shell scripting, the R statistical language, programming in Python, statistical tests and modeling in R, and Graphics in R. Students are required to bring laptop running either Ubuntu 16.04 LTS or macOS 10.10.5 or higher. The term assignment will be to design and conduct a novel analysis of data from your dissertation research.

Molecular Genetics:

  • 4500 General Genetics
    • The principles of genetics, including molecular genetics, transmission genetics of prokaryotes and eukaryotes, developmental and non-chromosomal genetics, recombinant DNA and genomics, and the genetics and evolution of populations.
  • 4606 Molecular Genetics
    • A comprehensive genetics course for majors covering transmission and molecular genetics; DNA replication, repair and mutation; transcription and translation; analysis and manipulation of genes at the molecular level.
  • 5701 DNA Transactions and Gene Regulation
    • Understanding mechanisms of DNA replication, DNA repair and recombination, transcription, translation, regulation of gene expression, and the experimental approaches to these topics.

Plant Pathology: