MEDC8435: BioAssay & Data Analysis

1 Credit

Emphasis is an intro to bioassay & rodent experimental design approaches, data analysis & basic statistical analysis of corresponding data. Concepts of what instrumentation resources are available within the Department of Medicinal Chemistry & the Institute for Therapeutics Discovery & Development (ITDD), what the corresponding bioassays that can be measured on those resources, considerations & criteria for the development of a new bioassay, how to design basic rodent (mouse & rat) animal experiments including power-analysis (how to predict the number of animals needed for the experiment), as well as data analysis [mean, standard error of the mean (SEM), standard deviation of the mean (SD)] & statistical analysis [student t-test, one-way Anova, two-way Anova, & appropriate post-hoc tests).prereq: MEDC 8001 or instructor permission.

View on University Catalog

All Instructors

A- Average (3.640)Most Common: A (63%)

This total also includes data from semesters with unknown instructors.

62 students
FDCBA
  • 3.85

    /5

    Recommend
  • 4.28

    /5

    Effort
  • 4.00

    /5

    Understanding
  • 3.85

    /5

    Interesting
  • 4.09

    /5

    Activities


      Contribute on our Github

      Gopher Grades is maintained by Social Coding with data from Summer 2017 to Spring 2024 provided by the Office of Institutional Data and Research

      Privacy Policy