Courses Taught by Rudy Richardson

EHS624 Mechanisms of Neurotoxicology

  • Graduate level
  • Winter term(s)
  • 2 Credit Hour(s)
  • Instructor(s): Richardson, Rudy
  • Not offered 2017-2018
  • Prerequisites: Grad Status, Biochemistry, Physiology
  • Description: Analysis and integration of scientific information to enhance understanding of molecular and cellular mechanisms of neurotoxicity. Emphasis is on student discussion of theoretical and practical aspects of mechanistic studies based on assigned reading from the scientific literature.

EHS628 Toxicology Research Analysis and Presentation

  • Graduate level
  • Winter term(s)
  • 1 Credit Hour(s)
  • Instructor(s): Richardson, Rudy
  • Prerequisites: EHS627
  • Description: Presentations of research topics from current literature by first year students. Advisors will assist in selection and preparation of materials for presentation. Course is designed to develop oral communication skills for presenting scientific material to peer groups. Presentations followed by discussion and questions.

EHS687 Computational Toxicology

  • Graduate level
  • Fall term(s)
  • 2 Credit Hour(s)
  • Instructor(s): Richardson, Rudy
  • Not offered 2017-2018
  • Prerequisites: Organic Chemistry, Biochemistry, Biology, Introductory Toxicology
  • Description: Inquiry-based, hands-on problem solving in toxicology using computational approaches. After each lecture, students work in groups to solve toxicity-related problems in novel ways. Students will identify a problem, create a group project around the problem, and present a computationally based solution to the problem by the end of the semester.
  • Course Goals: 1. Present principles of computational toxicology 2. Present principles of predictive toxicology using computational tools 3. Provide opportunities for learning computationally based approaches for solving complex toxicological problems
  • Competencies: Students will be able to do the following: 1. Understand the basic principles of computational toxicology 2. Understand predictive toxicology using chemical structures and databases 3. Solve complex problems in new ways