In today's digital age, learning open source software holds immense importance as it provides access to free, collaborative, and customizable tools that empower individuals and organizations across various domains. This course on “Open Source Software for Academia” is designed to equip learners from any discipline with essential skills in three prominent Open Source Software tools: Latex,Scilab,andPython. Utilizing a blended learning approach, the course incorporates video lectures, demonstrations with various examples to deepen understanding and facilitate the practical applications of these three open source software tools. This course empowers students, researchers, and educators to leverage these opensource tools for success in their academic pursuits. Over the duration of this MOOC, you will be guided through sixteen comprehensive modules, covering the fundamentals of Latex typesetting, Scilab for scientific computation, and basics of Python programming. This course is designed to meet the needs of learners as well as researchers who seek to enhance their academic writing and computational skills. To grasp the course, learners should ideally possess a basic concept of computer science and programming fundamentals. However, learners from diverse backgrounds with a strong interest in computer science, software development and skill enhancement are also encouraged to enroll and can benefit from the course.By the end of this course, the learners will emerge with a deep understanding of these three essential tools and the confidence to leverage them effectively in their academic endeavors. Course Credit - 4
Overview
Syllabus
Open Source Software for Academia
Week-1
MODULE 1: Introduction to LaTeX: Basics and Installation
Video Lecture 1: Getting Started with LaTeX
Video Lecture 2: LaTeX Installation and Compilation
Week-2
MODULE 2: Essential LaTeX Formatting and Structure
Video Lecture 3: Formatting and Document Structure in LaTeX
Video Lecture 4: Writing Mathematical Expressions in LaTeX
Video Lecture 5: Table and Matrix Formatting in LaTeX
Week-3
MODULE 3: Page Layout – I
Video Lecture 6: Page Layout in LaTeX
Video Lecture 7: Managing Table of Content and References
Week-4
MODULE 4: Page Layout – II
Video Lecture 8: Figures and List in LaTeX
Video Lecture 9: Advanced Document Customization in LaTeX
Week-5
MODULE 5: Mastering LaTeX Packages and Advanced Features
Video Lecture 10: Introduction to LaTeX Packages
Video Lecture 11: Essential LaTeX Packages for Enhanced Functionality
Video Lecture 12: Advanced LaTeX Packages and Graphics Integration
Week-6
MODULE 6: Mastering Document preparation with LaTeX
Video Lecture 13: Introduction to LaTeX Document Classes
Video Lecture 14: Structuring Documents with Document Classes
Video Lecture 15: Specialized Document Classes
MODULE 7: Applications of LaTeX
Video Lecture 16: Applications of LaTeX
Week-7
MODULE 8: Getting Started with Scilab
Video Lecture 17: Installation of Scilab
Video Lecture 18: Introduction to Scilab Environment
MODULE 9: Introduction to Scilab Programming
Video Lecture 19: Introduction to Conditional Statements
Video Lecture 20: Introduction to Loops in Scilab
Week-8
MODULE 10: Graphics in Scilab
Video Lecture 22: Graphics in Scilab-I
Video Lecture 23: Graphics in Scilab-II
Week-9
MODULE 11: Applications of Scilab
Video Lecture 24: Application of Scilab -I
Video Lecture 25: Application of Scilab -II
Video Lecture 26: Application of Scilab -III
Week-10
MODULE 12: Getting Started with Python
Video Lecture 27: Installation of Python
Video Lecture 28: Python Basics -I
Video Lecture 29: Python Basics -II
MODULE 13: Python Operators and Strings
Video Lecture 30: Operators
Video Lecture 31: Strings
Week-11
MODULE 14: Control Structures and Loops in Python
Video Lecture 32: I/O and Conditional Statements
Video Lecture 33: Loop Control Statements
MODULE 15: Data Structures in Python
Video Lecture 34: Lists
Video Lecture 35: Tuples
Video Lecture 36: Sets
Video Lecture 37: Dictionary
Week-12
MODULE 16: Python Programming Essentials and Applications
Video Lecture 38: Functions in Python
Video Lecture 39: Understanding Classes and Objects in Python
Video Lecture 40: Applications of Python
Taught by
Dr.Tapashi Kashyap Das and Dr.Sruti Sruba Bharali
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