Adatok
A Tantárgybejelentőben megadott hivatalos adatok az alábbi tanévre: 2024-2025
Tantárgyfelelős
-
Das Sourav
assistant lecturer,
Department of Pharmaceutics and University Pharmacy
Óraszámok/félév
előadás: 28 óra
gyakorlat: 0 óra
szeminárium: 0 óra
összesen: 28 óra
Tárgyadatok
- Kód: OPF-ADR-T
- 2 kredit
- Pharmacy
- Optional modul
- autumn
OPG-C3E-T parallel
Kurzus létszámkorlát
min. 5 fő – max. 30 fő
Campus kurzusként elérhető . Campus-karok: ÁOK ETK GYTK TTK
Tematika
This course will offer undergraduate students foundational knowledge in utilizing computational tools and handling scientific information for pharmaceutical research. Throughout the course, students will learn about data mining techniques, statistical designing, and computational modeling in preclinical studies. They will explore the ethical considerations of computing in pharmaceutical research and gain practical experience through case studies and written exams. Additionally, the course will cover data visualization techniques and introduce students to literature-based drug research using computational tools.
Előadások
- 1.
Introduction
- Das Sourav - 2.
Introduction
- Das Sourav - 3.
Data mining for knowledge
- Das Sourav - 4.
Data mining for knowledge
- Das Sourav - 5.
Scientific information handling
- Das Sourav - 6.
Scientific information handling
- Das Sourav - 7.
Computer applications in use
- Das Sourav - 8.
Computer applications in use
- Das Sourav - 9.
Computational modeling in preclinical studies
- Das Sourav - 10.
Computational modeling in preclinical studies
- Das Sourav - 11.
Statistical designing and data handling
- Das Sourav - 12.
Statistical designing and data handling
- Das Sourav - 13.
Case studies I / written exam I
- Das Sourav - 14.
Case studies I / written exam I
- Das Sourav - 15.
Computer application in Pharmaceutical formulation
- Das Sourav - 16.
Computer application in Pharmaceutical formulation
- Das Sourav - 17.
Ethics of computing in pharmaceutical research
- Das Sourav - 18.
Ethics of computing in pharmaceutical research
- Das Sourav - 19.
Introduction to literature-based drug research I
- Das Sourav - 20.
Introduction to literature-based drug research I
- Das Sourav - 21.
Literature-based drug research II and computational tools
- Das Sourav - 22.
Literature-based drug research II and computational tools
- Das Sourav - 23.
Data visualization techniques
- Das Sourav - 24.
Data visualization techniques
- Das Sourav - 25.
Case studies II
- Das Sourav - 26.
Case studies II
- Das Sourav - 27.
Discussion / Written exam II
- Das Sourav - 28.
Discussion / Written exam II
- Das Sourav
Gyakorlatok
Szemináriumok
A tananyag elsajátításához szükséges segédanyagok
Kötelező irodalom
Saját oktatási anyag
Jegyzet
Class notes and materials issued during the semester.
Ajánlott irodalom
A félév elfogadásának feltételei
A maximum of 25 % absence allowed
Félévközi ellenőrzések
Students have to write an end-of-semester assessment from the lecture at an acceptable level of 60%.
Távolmaradás pótlásának lehetőségei
In case absences exceed 25% of total class time, the course will be regarded as uncompleted. There is no opportunity to make up missed classes.
Vizsgakérdések
Students have to write an end-of-semester assessment from the lecture at an acceptable level of 60%.
Vizsgáztatók
- Das Sourav
Gyakorlatok, szemináriumok oktatói
- Das Sourav