Add comprehensive prerequisite survey form for LLM4ChipDesign course

[Copilot]

This PR adds a comprehensive prerequisite survey form for students interested in taking the LLM4ChipDesign course. The survey helps instructors assess student backgrounds and tailor course content accordingly.

What's Added

Survey Form (LLM4ChipDesign_Prerequisite_Survey.docx)

A professionally formatted Microsoft Word document containing:

• Student Information Section - Basic demographic and academic details
• Prerequisite Course Assessment - Rating system (0-4 scale) for 15 key subject areas
• Specific Course Experience - Detailed background in relevant coursework
• Tools and Software Experience - Assessment of EDA tools, programming environments, and AI frameworks
• Project Experience - Practical application questions
• Learning Goals and Expectations - Student objectives and preferences
• Additional Information - Open-ended feedback section

Key Prerequisite Areas Covered

Based on the repository's comprehensive coverage of LLM-based chip design, the survey assesses:

1. Hardware Fundamentals: Digital Logic Design, Computer Architecture, HDLs (Verilog/SystemVerilog)
2. Programming Skills: Python, C/C++, Data Structures & Algorithms
3. AI/ML Background: Machine Learning, Natural Language Processing
4. Verification & Tools: Formal Verification, EDA Tools, FPGA/ASIC Design Flow
5. Advanced Topics: High-Level Synthesis, Hardware-Software Co-design
6. Supporting Skills: Mathematics, Software Engineering, Version Control

Implementation Details

The survey form is generated using a Python script (generate_survey_form.py) with the python-docx library, ensuring:

• Professional formatting with proper tables, headers, and styling
• Checkbox-style rating systems for easy completion
• Comprehensive documentation in SURVEY_README.md

Course Alignment

The survey directly addresses the repository's focus areas:

• Automated Verilog generation (AutoChip, VeriThoughts, Veritas, PrefixLLM)
• Testbench generation for hardware verification
• SystemVerilog assertion generation from natural language
• C-to-hardware synthesis (C2HLSC)
• Hardware security and IP protection
• Analog circuit design (Masala-CHAI)

This survey will help instructors identify students who may need additional preparation, form balanced study groups, and adjust course pacing based on the class's collective background.

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