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Computer Applications in Drug Research and Development

Data

Official data in SubjectManager for the following academic year: 2024-2025

Course director

  • Das Sourav

    assistant lecturer,
    Department of Pharmaceutics and University Pharmacy

Number of hours/semester

lectures: 28 hours

practices: 0 hours

seminars: 0 hours

total of: 28 hours

Subject data

  • Code of subject: OPF-ADR-T
  • 2 kredit
  • Pharmacy
  • Optional modul
  • autumn
Prerequisites:

OPG-C3E-T parallel

Course headcount limitations

min. 5 – max. 30

Available as Campus course for . Campus-karok: ÁOK ETK GYTK TTK

Topic

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.

Lectures

  • 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

Practices

Seminars

Reading material

Obligatory literature

Literature developed by the Department

Notes

Class notes and materials issued during the semester.

Recommended literature

Conditions for acceptance of the semester

A maximum of 25 % absence allowed

Mid-term exams

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

Making up for missed classes

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.

Exam topics/questions

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

Examiners

  • Das Sourav

Instructor / tutor of practices and seminars

  • Das Sourav
Rólunk