Registration Fee: 250 INR / 15 USD

Last Date of Registration: 09 December. 2024

Event Date: 09-15 December, 2024 · 19:00-21:00 IST

Overview:

The “One-Week Workshop on Interdisciplinary Computing in Basic and Applied Sciences with Python and Open Source Software” is a comprehensive program designed to equip participants with essential skills in Python programming and open-source tools, focusing on their applications in scientific research and interdisciplinary studies. This workshop aims to bridge the gap between computing and diverse scientific fields, offering attendees an in-depth understanding of how computational techniques can drive innovation in areas such as physics, chemistry, biology, engineering, and data science.

Objectives:

• Introduction to Python for Scientific Computing: Participants will gain hands-on experience in Python, covering fundamental programming skills, data structures, and libraries that are essential for scientific computing, such as NumPy, SciPy, and Matplotlib.
• Open-Source Tools for Research: Explore various open-source software tools that complement Python, such as Jupyter Notebooks for interactive coding, visualization tools like Seaborn, and data analysis libraries like Pandas. Participants will learn how these tools enhance reproducibility and collaboration in scientific research.
• Interdisciplinary Applications: Demonstrations and practical exercises will be provided in areas like data analysis, simulation, machine learning, and visualization across fields such as physics, biology, chemistry, and social sciences. The focus will be on how Python and open-source tools can solve real-world problems and model complex scientific phenomena.
• Project-Based Learning: Participants will work on interdisciplinary projects that incorporate the principles learned throughout the week, allowing them to apply Python programming and computational methods to specific problems within their field of study.
• Promoting Open Science: Emphasize the importance of open-source software in scientific research, highlighting how free and accessible tools contribute to innovation, collaboration, and knowledge sharing across disciplines.

Target Audience:

• Students: Undergraduate and Postgraduate students in STEM fields.
• Faculty and Researchers: Academics and researchers interested in applying computational techniques to their fields.
• Industry Professionals: Professionals in STEM industries who wish to leverage computing for research and development.

Applicable Fields:

• Natural Sciences: Physics, Chemistry, Mathematics, Biology, Environmental Science
• Engineering Disciplines: Mechanical, Electrical, Civil, and more
• Computer Science and Data Science

Topics to be Covered:

Day-1 (9 December 2024) Introduction to Python for Scientific Computing: (Speaker: Dr. R.R. Panchal)

• Basics of Python programming, data types, control structures, and functions.
• Introduction to Jupyter Notebook as a tool for interactive computing.

Day-2 (10 December 2024) Data Analysis and Visualization with Python: (Speaker: Dr. R.R. Panchal)

• Using libraries like Pandas and Matplotlib for data handling and visualization.
• Exploratory data analysis techniques for scientific research.

Day-3 (11 December 2024) Numerical Methods in Science and Engineering: (Speaker: Dr. Prashant Kumar Patel)

• Applying numerical methods for solving scientific and engineering problems.
• Modules like SciPy for differential equations, optimization, and statistical analysis.

Day-4 (12 December 2024) Machine Learning for Scientific Applications: (Speaker: Dr. Upinder Kaur)

• Introduction to machine learning concepts and applications in science.
• Using Scikit-Learn for implementing machine learning models in Python.

Day-5 (13 December 2024) Python for Biological Data Analysis: (Dr. Dr. Rupsanatan Mandal)

• Analysis of biological datasets using BioPython and other relevant libraries.
• Case studies and applications in bioinformatics.

Day-6 (14 December 2024) Novel Application on Python-Based Machine Learning Algorithm Implementation for Wind Speed Prediction (Speaker: Dr. Amit Kumar Yadav)

Day-7 (15 December 2024) Interdisciplinary Project Work and Applications: (Speaker: Dr. Ranjan Kumar Jana)

• Applying acquired knowledge to interdisciplinary projects.
• Overview of applications in diverse fields such as environmental science, astronomy, and materials science.

Applicable Fields:

• Natural Sciences: Physics, Chemistry, Mathematics, Biology, Environmental Science
• Engineering Disciplines: Mechanical, Electrical, Civil, and more
• Computer Science and Data Science

Speaker(s)

• Dr. Mehar Chand: Department of Physical and Mathematical Sciences, Baba Farid College, Bathinda, INDIA
• Dr. Ranjan Kumar Jana: Department of Mathematics, Sardar Vallabhbhai National Institute of Technology, Gujarat, INDIA
• Dr. P G Patel: Department of Mathematics, Sardar Patel University, Vallabh Vidyanagar, INDIA
• Dr. R R Panchal: Department of Mathematics, Sardar Patel University, Vallabh Vidyanagar, INDIA
• Dr. Amit K Yadav: School of Computer Science and AI, SR University Ananthasagar, Telangana, India
• Dr. Upinder Kaur: Department of Computer Science and Engineering, Akal University, Bathinda, INDIA

Patron(s)

• Prof. Niranjan P. Patel: Vice Chancellor, Sardar Patel University, Vallabh Vidyanagar, INDIA
• Prof. Anupam Shukla: Director, Sardar Vallabhbhai National Institute of Technology, Gujarat, INDIA

Co-Patron

• Dr. Bhailalbhai P. Patel: Registrar, Sardar Patel University, Vallabh Vidyanagar, INDIA

Convener(s)

• Prof. A. H. Hasmani: Department of Mathematics, Sardar Patel University, Vallabh Vidyanagar, INDIA
• Prof. Ajay Kumar Shukla: Department of Mathematics, Sardar Vallabhbhai National Institute of Technology, Gujarat, INDIA

Organizing Secretary

• Prof. Jyotindra Prajapati: Department of Mathematics, Sardar Patel University, Vallabh Vidyanagar, INDIA
• Dr. Ranjan Kumar Jana: Department of Mathematics, Sardar Vallabhbhai National Institute of Technology, Gujarat, INDIA
• Dr. Mehar Chand: Department of Physical and Mathematical Sciences, Baba Farid College, Bathinda, INDIA
• Dr. Bharti V. Nathwani: Department of Mathematics, Amity School of Applied Sciences, Amity University, Mumbai INDIA

Coordinator(s)

• Dr. Nimisha Pathak: Department of Applied Mathematics, The Maharaja Sayajirao University of Baroda, Vadodara, Gujarat, INDIA
• Dr. Snehal Rao: Department of Applied Mathematics, The Maharaja Sayajirao University of Baroda, Vadodara, Gujarat, INDIA
• Dr. Sanjay Kumar Bansal: Department of Mathematics, JECRC Foundation, Jaipur, INDIA
• Dr. Suparna Sharma: School of Humanities, Baba Farid College, Bathinda, INDIA
• Mr. Jatin Bansal: Department of Mathematics and Statistics, Central University of Punjab, Bathinda, INDIA

Organized by

• MathTech Thinking Foundation, Fazilka, INDIA
• Sardar Vallabhbhai National Institute of Technology, Surat, INDIA
• Sardar Patel University, Vallabh Vidyanagar, INDIA

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