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: firstname.lastname@example.org)
- 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).
- 4100 General Microbiology
- 4110 Microbial Pathogenesis and Immunobiology
- 4120 General Microbial Physiology and Diversity
- 4130 Microbial Genetics
- 4140 Molecular Microbiology Lab
- 5129 Cellular and Molecular Biology of Pathogenic Eukaryotes
- 5147 Eukaryotic Pathogens
- 5149 Introductory Virology
- 5150 Microbial Ecology
- 5155 Environmental Microbiology
- 6020 Microbial Physiology and Biochemistry
- 6080 Advanced Microbial Genetics
- 7010 Cellular and Molecular Immunology
- 7020 Microbial Physiology Meets Pathogenesis
- 7060 Advanced Topics in Molecular Microbiology
- 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.
- 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
- 2203 Environmental Geoscience
- 2155 Energy and the Environment
- 5719 Environmental Organic Chemistry
Environment and Natural Resources:
- 2155 Energy and Environment
- 3000/3001 Soil Science/Laboratory
- 5268 Soils and Climate Change
- 6610 Soil and Environmental Biochemistry, Warren Dick.
- This course can serve as biochemistry credit.
- "Especially in light of the classes that others took to fill biochemistry requirements, I am quite satisfied with this class. I wouldn't necessarily recommend it for the microbial ecology ... but it began to fill in my knowledge gap of the field regarding the geochemical cycles and tools/methods used to measure various responses or transformations of soils. One caveat - it is heavily focused on agricultural soils, but much of the material should be broadly applicable." - Anonymous eMicro graduate student
- 8780: Quantitative Methods for Natural Resources
Evolution, Ecology and Organismal Biology
- 7210 Methods in Evolution and Ecology: Essential tools for computational biology
- Instructors: Bryan Carstens, email@example.com and Ariadna Morales, firstname.lastname@example.org
- 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.
- 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.