Computer Applications in Drug Research and Development

Daten

Offizielle Daten in der Fachveröffentlichung für das folgende akademische Jahr: 2024-2025

Lehrbeauftragte/r

  • Das Sourav

    assistant lecturer,
    Department of Pharmaceutics and University Pharmacy

Semesterwochenstunden

Vorlesungen: 28

Praktika: 0

Seminare: 0

Insgesamt: 28

Fachangaben

  • Kode des Kurses: OPF-ADR-T
  • 2 kredit
  • Pharmacy
  • Optional modul
  • autumn
Voraussetzungen:

OPG-C3E-T parallel

Zahl der Kursteilnehmer für den Kurs:

min. 5 – max. 30

Erreichbar als Campus-Kurs für . Campus-karok: ÁOK ETK GYTK TTK

Thematik

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.

Vorlesungen

  • 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

Praktika

Seminare

Materialien zum Aneignen des Lehrstoffes

Obligatorische Literatur

Vom Institut veröffentlichter Lehrstoff

Skript

Class notes and materials issued during the semester.

Empfohlene Literatur

Voraussetzung zum Absolvieren des Semesters

A maximum of 25 % absence allowed

Semesteranforderungen

Students have to write an end-of-semester assessment from the lecture at an acceptable level of 60%.

Möglichkeiten zur Nachholung der Fehlzeiten

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.

Prüfungsfragen

Students have to write an end-of-semester assessment from the lecture at an acceptable level of 60%.

Prüfer

  • Das Sourav

Praktika, Seminarleiter/innen

  • Das Sourav