Faculty Development Programme · June 2026
Anil Neerukonda Institute of Technology & Sciences (A), Visakhapatnam, Andhra Pradesh
Programme
How each language takes source code to execution — video walkthrough, Telugu podcast, and language comparison. Plus WSL & Ubuntu environment setup.
Open Session →Cloud coding environment setup, Linux & C commands, C compilation pipeline, system internals, and algebraic equation visualizers.
Open Session →Curated resources for C programming and practice, plus an AI prompt template for structured, chunk-by-chunk learning of any technical topic.
Open Session →Buy a domain, create a GitHub repo, write your first HTML page in the browser editor, deploy on GitHub Pages, and connect a custom domain with DNS A records.
Open Session →SSH setup, git push workflow, real-world GitHub usage, branches & pull requests, how LLMs process prompts, and Claude Desktop skills & connectors for educators.
Open Session →The four commands every developer repeats daily — git status, git add, git commit, git push — plus web editor vs local machine Git Bash explained.
Open Session →Coding exercises for Python, Java & C++ on codecheck.io, pair programming workflow with Claude AI, and an interactive DNS + HTTP visualizer for www.anits.edu.in.
Open Session →Open Q&A session — faculty questions from across all four days answered, key concepts revisited, and open discussion on teaching programming with AI tools.
Open Session →Setup Guide
Git Bash gives you a Unix-like terminal on Windows — with Git, Bash, and common Linux commands built in. Follow these steps to install it.
Go to git-scm.com/download/win in your browser. The 64-bit installer will start downloading automatically.
In Git Bash, type git --version and press Enter. You should see output like git version 2.x.x.windows.x.
Faculty Group Q&A
Questions raised by faculty as groups during the session.
In C programming, students show interest in arrays, for loops, and while loops — but when it comes to structures, pointers, and files, why do they lose interest?
How can we use AI effectively for teaching?
With the increasing use of AI tools, students often rely on generated code instead of developing their own programming skills. How can faculty address this challenge effectively?
How can we assess students' actual programming abilities rather than their ability to memorise code?
What are the industry-based tools and technologies students should be aware of?
Can you suggest the best AI tools for teaching and learning programming concepts?
Students should learn debugging techniques simultaneously with coding so that problem solving becomes easier. How can we make that happen?
How can we incorporate industry-oriented coding practices into the curriculum?
Additional Resources