Syllabus database for doctoral courses
-
Startpage
Syllabus database for doctoral courses
SYLLABI FOR DOCTORAL COURSES
Swedish title | Beräkningstoxikologi - metoder och tillämpningar |
---|---|
English title | Computational toxicology - methods and applications |
Course number | 3075 |
Credits | 1.5 |
Responsible KI department | Institutet för miljömedicin |
Specific entry requirements | Basic knowledge in statistics. |
Grading | Passed /Not passed |
Established by | The Board of Doctoral Education |
Established | 2018-03-01 |
Purpose of the course | The purpose of the course is to build knowledge and understanding on how computational methods and tools can be used for modelling and/or prediction in toxicology and risk assessment of chemical substances. |
Intended learning outcomes | After the course, the students should: -be able to describe what computational methods and tools are available and their proper areas of use, -have some basic practical skills in using selected software, -be able to describe how computational methods are applied within some relevant regulations, and -be able to reflect on the strengths and limitations of using computational toxicology in research and regulatory risk assessment. |
Contents of the course | Computational, or in silico, toxicology, is a discipline that is focused on developing and using computer-based models to better understand and predict adverse effects caused by substances such as e.g. pharmaceuticals, chemicals and environmental contaminants. During the course, students will learn about concepts such as read-across, quantitative structure-activity relationships, quantitative structure-property relationships, machine learning, molecular modeling. How to use computational methods for exposure and kinetics modelling will also be covered, as will regulatory guidelines relevant for this discipline. The utility of computational toxicology in various settings (such as in the REACH regulation, and in drug discovery and development) will be discussed. The students will get familiar with selected (mostly freely available) software that are used in computational toxicology. |
Teaching and learning activities | The course includes lectures, computer demonstrations and group assignments with computer exercises. |
Compulsory elements | Participation in demonstrations and group assignments are compulsory. Absence can be compensated by individual task(s). |
Examination | Examination is in the form of an oral presentation in groups and a written exam. |
Literature and other teaching material | Scientific articles, book chapters and regulatory guidelines. | Course responsible |
Annika Hanberg Institutet för miljömedicin 08-52487526 Annika.Hanberg@ki.se |
Contact person |
Charlotte Nilsson Institutet för miljömedicin charlotte.nilsson@ki.se |