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Proteomics


UIx

IDR 255,300.00

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Course Description

Welcome to UI's MOOCs Proteomics [MOOC000297] with other students. In this module, you will learn the definition of proteomics, protein identification methods, bottom-up and top-down proteomics, and the presentation of proteomics data. After following this module, module participants are able to apply proteomics methods for protein analysis.

This is a non-credit module. However, the certificate of completion will be given to participants after completing the module. The estimated time to complete this module is 225 minutes. This module will be carried out in self-paced learning mode. The asynchronous method will be used in this module, which includes watching interactive videos, answering quizzes, chatting in the discussion forums, and reading materials.

After following this module, module participants are able to apply proteomics methods for protein analysis. The content of this module includes the definition of proteomics, protein identification methods, bottom-up and top-down proteomics, and presentation of proteomics data. The teaching method used is based on self-paced learning with the main methods of collaborative learning and asynchronous online-based learning. Module participants will study the material independently first (watching videos and reading material) ending with a formative quiz. Then, module participants will conduct asynchronous discussions in discussion forums discussing cases in collaborative learning. Finally, the module participants take a summative quiz. Answer keys and feedback are given asynchronously so that students can do self-reflection. The language used in teaching and learning activities is English.

Learning Outcome

After completing the proteomics module, if the module participant is given a specific sample, the module participant is able to apply the appropriate proteomics method (C3) for that sample.

Course Contents

  1. Welcoming and Introduction
  2. Tools for Proteomics
  3. Protein Separation and Digestion
  4. Chromatographic Data Processing
  5. Proteomics Data Processing
Requirement

There is no requirement for this course

Benefit

Participant can have a broad idea how to handle a specific sample and applying the appropriate proteomics method.

 

Course Staff

Arif Arrahman  

apt. Arif Arrahman, M.Farm. | Permanent lecturer from Faculty of Pharmacy Universitas Indonesia | Research interest: Medicinal Chemistry, Bioassay, Pharmaceutical Chemistry

E-mail: [email protected]

E Building 8th Floor PE-803, Health Sciences Cluster, Kampus Universitas Indonesia Depok, 16424

Catur Jatmika

Dr. apt. Catur Jatmika, M.Si. | Permanent lecturer from Faculty of Pharmacy Universitas Indonesia | Research interest: Medicinal Chemistry, Pharmaceutical Chemistry

E-mail: [email protected]

Taufiq Indra Rukmana.

Dr. Eng. apt. Taufiq Indra Rukmana, M.Farm. |  Permanent lecturer from Faculty of Pharmacy Universitas Indonesia | Research interest: Pharmaceutical Chemistry, Material Sciences

E-mail: [email protected]

  1. Course Number

    MOOC000297
  2. Enrollment Start

  3. Enrollment End

    Jul 31, 2026
  4. Class Start

  5. Class End

    Aug 31, 2026
  6. Estimated Effort

    12 hours for 6 weeks
  7. Language

    English
  8. Course Type

    Self Paced
  9. Quota

    None
  10. Price

    IDR 255,300.00
  11. Level

    Beginner
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