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Mindmap for Intro to Digital Pharma course, Resources:, Frequency of…
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Resources:
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Additional software (Schrodinger), working on the cluster (Pardus)
Usual lecture tools (computer, projector, etc.)
Internet, where students can read papers, search databases, etc.
Frequency of activities
Once a week: some assignment; students will need either to present summary of their literature research or analysis of experimental results on the seminar, or write a report
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Describe / remember
TLA_1: Lectures
- direct questioning
- discussions on case examples
- asking students to summarize the learned concepts
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Present
TLA_2: seminars, where students present the results of their HW or project
Evaluate, conclude
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TLA_4: Analyze the experimental results, applying statistical and machine learning knowledge, make conclusions
ILO_4: Student should be able to perform in silico high-throughput screening for a given target, analyse and report the results
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ILO_2: Student should be able to search in the databases and analyze information about the potential drug targets, evaluate the potential druggability of a target
- problem solving
- discussion
- peer reviews
- presenting
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ILO_1: Student should be able to describe general steps of the drug design and development process in the pharmaceutical industry
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