270173 SE Medical Chemistry (2022S)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Tu 01.02.2022 08:00 to Th 24.02.2022 23:59
- Deregistration possible until Th 24.02.2022 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
12 lectures x 4 academic hours
4x in March:Lecture 1 9.00-12.00 We 23.3 Zoom
Lecture 2 9.00-12.00 Th 24.3 Zoom
Lecture 3 9.00-12.00 We 30.3 Zoom
Lecture 4 9.00-12.00 Th 31.3 Zoom8x in June
Lecture 5 14.15-17.15 Th 2.6. HS1
Lecture 6 9.00-12.00 We 8.6. HS3
Lecture 7 9.00-12.00 Th 9.6 Zoom
Lecture 8 14.15-17.15 Mo 13.6 HS1
Lecture 9 9.00-12.00 We 15.6. HS3
Lecture 10 9.00-12.00 Fr 17.6. Zoom
Lecture 11 9.00-12.00 Mo 20.6. Zoom
Lecture 12 9.00-12.00 We 22.6. ZoomAttendance of at least 9 lectures is required for a positive grade. Since this seminar is capped to 25 students and there exists a waiting list, everyone registered will be graded.
- Thursday 02.06. 14:15 - 17:15 Carl Auer v. Welsbach-Hörsaal Chemie Boltzmanngasse 1 HP
- Wednesday 08.06. 09:00 - 12:00 Kleiner Hörsaal 3 Chemie Boltzmanngasse 1 HP
- Monday 13.06. 14:15 - 17:15 Carl Auer v. Welsbach-Hörsaal Chemie Boltzmanngasse 1 HP
- Wednesday 15.06. 09:00 - 12:00 Kleiner Hörsaal 3 Chemie Boltzmanngasse 1 HP
- Wednesday 22.06. 09:00 - 12:00 Kleiner Hörsaal 3 Chemie Boltzmanngasse 1 HP
Information
Aims, contents and method of the course
Assessment and permitted materials
Online exams and assignments
Take home assignments
Presentations and practical assessments
Final exam
Take home assignments
Presentations and practical assessments
Final exam
Minimum requirements and assessment criteria
ASSESSMENT
- attendance of at least 9 lectures is required to obtain a grade.
- 10% of the course grade will be based on participation during the course.
- 50% of the course grade will be based on exercises given during the course period.
- 40% of the course grade will be based on a final assessment to be done in students’ own time and submitted after the course ends.
- grades will be given as: (1) 100–90%, (2) 89–76%, (3) 75–64%, (4) 63–50%, (5) 49–0%
- attendance of at least 9 lectures is required to obtain a grade.
- 10% of the course grade will be based on participation during the course.
- 50% of the course grade will be based on exercises given during the course period.
- 40% of the course grade will be based on a final assessment to be done in students’ own time and submitted after the course ends.
- grades will be given as: (1) 100–90%, (2) 89–76%, (3) 75–64%, (4) 63–50%, (5) 49–0%
Examination topics
Based on lecture topics and assignments during the seminar.
Reading list
Association in the course directory
Last modified: Th 14.04.2022 12:09
At the end of the course, students should:
- be familiar with the topics and techniques encompassed in Medicinal Chemistry
- understand structure-activity relationships studies and drug design strategies
- understand the drug development process for various drug modalities
- understand the underlying methods and concepts for drug discovery and development
- be aware of recent developments, challenges and controversies in the field
- be able to read, understand and critically evaluate articles in Medicinal Chemistry
- be able to apply the knowledge and skills learned to their master theses and in other situationsCONTENT
1. Introduction to Medicinal Chemistry
2. Methods and concepts underpinning Medicinal Chemistry
3. Overview of different drug targets
4. Overview of different drug classes and interactions
5. Small molecule drug discovery and development
6. Peptide drug discovery and development
7. Biologics and Nanoparticles
8. Vaccine development
9. Formulation and delivery technologies
10. Preclinical work, IP and commercialization strategies
11. Case studiesMETHODS
- formal lectures with PowerPoint slides
- exercises to re-cap previous lecture
- group discussion and exercises on journal articles
- data analysis and practical example exercises
- take home assignments, presentations