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  4. 2018-2019
  5. Pharmacology
  6. PA4302: MOLECULAR TOXICOLOGY

PA4302: MOLECULAR TOXICOLOGY (2018-2019)

Last modified: 22 May 2019 17:07


Course Overview

  • this course extends previous knowledge in the area of drug metabolism and toxicology;
  • the process of drug development will be examined from the importance of understanding the metabolic profile of drugs and their transport to covering molecular aspects of pre-clinical toxicology;
  • external Experts from academia and the pharmaceutical industry contribute to the teaching and assessment of this important area;
  • this course opens up new opportunities for employability in academia and the pharmaceutical industry

Course Details

Study Type Undergraduate Level 4
Term First Term Credit Points 15 credits (7.5 ECTS credits)
Campus None. Sustained Study No
Co-ordinators
  • Dr Steve Tucker

Qualification Prerequisites

  • Programme Level 4

What courses & programmes must have been taken before this course?

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

None.

Are there a limited number of places available?

No

Course Description

This course covers aspects of toxicology relevant to pharmacology, for example topics likely to be included are: the toxicological significance of drug/xenobiotic oxidation, drug transporters, immunotoxicity, immunopharmacology, developmental toxicology, molecular carcinogenesis and risk assessment.


Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers


Details, including assessments, may be subject to change until 30 August 2024 for 1st term courses and 20 December 2024 for 2nd term courses.

Summative Assessments

1st Attempt: 1 two-hour written examination paper (70%) and in-course assessment - essay (2,000 words), laboratory report and problem solving (30%).

Formative Assessment

Problem solving tutorials.

Feedback

All written work will be marked with significant comments and feedback. Data analysis exercise will be covered in detail in class and individual students will also receive detailed written feedback.

Course Learning Outcomes

None.
 

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