Tantargy

Adatok

A Tantárgybejelentőben megadott hivatalos adatok az alábbi tanévre: 2024-2025

Tantárgyfelelős

Das Sourav
assistant lecturer,
Department of Pharmaceutics and University Pharmacy
sourav.das@pte.hu

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

Előfeltétel:

OPG-C3E-T parallel

Kurzus létszámkorlát

min. 5 fő – max. 30 fő

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