📊 R & Mathematical Software Laboratory (Spring 2026)

Welcome to the official repository for the Mathematical Software and R Programming courses at Kharazmi University. This repository serves as a centralized hub for managing student assignment submissions and tracking learning milestones through a structured open-source workflow.

---

👨‍🏫 About the Courses

Course Title	Target Audience	Primary Topics & Tools
Mathematical Software	Mathematics Students	Introduction to R, Probability, Regression Analysis, Hypothesis Testing, Statistical Analysis
Programming with R	Statistics Students	Data Structures, Functional Programming, Vectorization, Data I/O, Statistical Visualization, Probability Distributions, Parallel Computing, Data Merging & Querying

• Instructor: Dr. Elham Tabrizi
• Lead Teaching Assistant: Soheil Salmani Safarpour

---

💡 Industry-Standard Workflow (Why GitHub?)

To bridge the gap between academic theory and real-world industry practices, this repository implements a professional Git-based workflow. Designed as a core initiative by the Teaching Assistant, this structure is implemented to encourage students to:

• Get hands-on experience with Git and GitHub.
• Understand industry standards for version control and code collaboration.
• Build a verifiable portfolio of their coding skills to stand out in the modern job market.

---

🚀 Repository Architecture & Features

This repository is optimized to give students a hands-on experience while maintaining a clean environment for grading and automated reviews:

• 📂 /assignments: Contains comprehensive prompt instructions and structural templates for each assignment.
• 📂 /submissions: Dedicated isolated directories for each student (named by Student ID) to prevent merge conflicts and maintain code isolation.
• 📜 CONTRIBUTING.md: A complete, step-by-step guide mapping out the Fork, Branch, Commit, and Pull Request (PR) workflow.

---

👥 Course Contributors (Students)

Students contribute to this repository by solving computational challenges and submitting their analytical reports via Pull Requests.

---

🔑 Grading & Submission Quick Link

For detailed rules on how to format your directory, write clean commits, and open a valid Pull Request, please read the Contribution Guide (CONTRIBUTING.md) carefully before the deadline.

---