Dasar Komputasi Molekular

Exploring Molecular Modeling and Computational Chemistry
Udemy
platform
Bahasa Indonesia
language
Engineering
category
Dasar Komputasi Molekular
0
students
3 hours
content
Jan 2024
last update
$29.99
regular price

Why take this course?

🧪 Exploring Molecular Modeling and Computational Chemistry 🚀 Course Headline: Dasar Komputasi Molekular


Course Title: Dasar Komputasi Molekular


Introduction to Molecular Computation Dive into the fascinating world of molecular computations and unravel the intricacies of atomic interactions. "Dasar Komputasi Molekular" course is your gateway to understanding the fundamental principles and applications of computational chemistry. This online course is meticulously designed to equip students with the necessary skills and knowledge to analyze and model molecules using cutting-edge computational methods.

Course Content Overview:

  • Understanding Molecular Models: Learn how to construct accurate models of molecules, representing electron distributions and molecular geometries.

  • Computational Methods in Chemistry: Gain expertise in various computational techniques such as optimizing molecule geometry, single point energy calculations, and frequency analysis of molecules.

  • Spectroscopy Simulation: Master the art of predicting and interpreting FTIR and UV-VIS spectra from theoretical calculations, aligning your findings with experimental results.

  • Solute-Solvent Interactions: Explore the influence of solvents on chemical systems and reactions, deepening your understanding of how the environment can affect molecular interactions.

  • Protein and Ligand Docking: Be introduced to advanced computational approaches like protein-ligand docking, a crucial tool in drug discovery and understanding intermolecular forces.


Learning Objectives:

  • Develop Foundational Knowledge: Acquire a strong foundation in molecular modeling and computational chemistry.

  • Practical Skills: Learn to perform calculations on molecular structures, energy levels, and vibrational frequencies.

  • Interpretation of Data: Understand how to analyze and interpret spectroscopic data from both theoretical and experimental perspectives.

  • Real-World Applications: Apply computational methods to solve real-world problems in chemistry, biochemistry, and related fields.

  • Advanced Techniques: Gain insights into advanced areas such as docking simulations and their importance in drug design and bioinformatics.


Course Outcomes: By completing this course, you will:

  • Be equipped with a comprehensive understanding of the principles of molecular computations.

  • Develop the ability to model molecules accurately and predict properties and reactivities using computational tools.

  • Learn to analyze spectroscopic data from both theoretical and experimental viewpoints, enhancing your analytical skills.

  • Acquire practical experience in using computational methods for solving problems in chemistry and related fields.

  • Gain a competitive edge in research and development with an understanding of advanced computational techniques like docking.


Who Should Take This Course? This course is ideal for:

  • Undergraduate Students: Majoring in Chemistry, Biochemistry, or related fields seeking to expand their knowledge in molecular modeling.

  • Graduate Students: Engaged in research that requires computational chemistry methods.

  • Researchers and Professionals: Involved in drug discovery, materials science, or any field where understanding molecular interactions is crucial.

  • Educators: Looking to introduce their students to the intersection of chemistry and computation.


Join us on this intellectual journey and unlock the mysteries of molecules through the lens of computational chemistry. With "Dasar Komputasi Molekular," you're not just learning a new skill—you're opening doors to innovation, discovery, and the forefront of modern chemistry! 🔍✨


Enroll now and transform your approach to chemical problem-solving with the power of computational methods. Let's embark on this exciting exploration together! 🚀💫

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5711034
udemy ID
14/12/2023
course created date
03/02/2024
course indexed date
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