Add comprehensive 14-week course syllabus with structured timeline for teaching all modules

README.md

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 # Generative AI for Chip Design 
 
+This repository contains materials for a comprehensive course on applying Large Language Models (LLMs) to chip design automation. The course covers 12 cutting-edge research projects spanning Verilog generation, verification, synthesis, and hardware-software co-design. For the complete 14-week course timeline and structure, see the [📚 Course Syllabus](SYLLABUS.md).
+
 ## Table of Contents
+- [📚 Course Syllabus](SYLLABUS.md) - **14-Week Course Timeline and Structure**
 - [AutoChip to Generate Functional Verilog](#autochip-to-generate-functional-verilog)
 - [VeriThoughts: Enabling Automated Verilog Code Generation using Reasoning and Formal Verification](#verithoughts-enabling-automated-verilog-code-generation-using-reasoning-and-formal-verification)
 - [Rome was Not Built in a Single Step: Hierarchical Prompting for LLM-based Chip Design](#rome-was-not-built-in-a-single-step-hierarchical-prompting-for-llm-based-chip-design)

SYLLABUS.md

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+# Course Syllabus: Generative AI for Chip Design
+
+## Course Overview
+This 14-week course provides comprehensive coverage of Large Language Model (LLM) applications in chip design, from basic Verilog generation to advanced hardware verification and synthesis. Each module follows a 2-week structure focusing on both theoretical understanding and practical implementation.
+
+## Course Structure
+- **Total Duration:** 14 weeks
+- **Module Format:** 2 weeks per module (7 modules total)
+- **Week 1 of each module:** Introduction to concepts, theory, and homework assignment
+- **Week 2 of each module:** Hands-on homework solution sessions and practical exercises
+
+---
+
+## Module Schedule
+
+### **Module 1: AutoChip - Functional Verilog Generation (Weeks 1-2)**
+
+**Week 1: Introduction and Theory**
+- **Learning Objectives:**
+  - Understand LLM-based Verilog generation fundamentals
+  - Learn about error feedback and iterative design repair
+  - Explore testbench-driven development
+
+- **Topics Covered:**
+  - Introduction to AutoChip framework
+  - LLM prompt engineering for hardware design
+  - Compilation and simulation feedback loops
+  - Error analysis and automated repair strategies
+
+- **Homework Assignment:**
+  - Set up AutoChip environment
+  - Generate a simple multiplexer using AutoChip
+  - Document compilation errors and LLM responses
+  - Compare generated code with hand-written implementation
+
+**Week 2: Hands-on Workshop**
+- Review homework solutions
+- Troubleshoot common AutoChip issues
+- Live demonstration of complex module generation
+- Group exercise: Generate and debug a finite state machine
+
+**Resources:**
+- 📄 Paper: https://arxiv.org/abs/2311.04887
+- 💻 Code: https://github.com/shailja-thakur/AutoChip.git
+- 📊 Tutorial: `colab-scripts/AutoChip_Tutorial.ipynb`
+
+---
+
+### **Module 2: Hierarchical Prompting with ROME (Weeks 3-4)**
+
+**Week 1: Introduction and Theory**
+- **Learning Objectives:**
+  - Master hierarchical design decomposition
+  - Understand the limitations of flat prompting
+  - Learn ROME methodology for complex designs
+
+- **Topics Covered:**
+  - Hierarchical vs. flat prompting strategies
+  - Design decomposition techniques
+  - ROME framework architecture
+  - Cost-benefit analysis of hierarchical approaches
+
+- **Homework Assignment:**
+  - Implement a 16-to-1 multiplexer using hierarchical prompting
+  - Compare results with flat prompting approach
+  - Analyze generation time and code quality metrics
+  - Document the hierarchical design process
+
+**Week 2: Hands-on Workshop**
+- Homework solution walkthrough
+- Advanced ROME techniques
+- Case study: Processor core generation
+- Team project: Design a simple ALU hierarchically
+
+**Resources:**
+- 📄 Paper: https://arxiv.org/abs/2407.18276
+- 💻 Code: https://github.com/ajn313/ROME-LLM/tree/main
+- 📊 Tutorial: `colab-scripts/ROME_demo.ipynb`
+
+---
+
+### **Module 3: VeriThoughts - Reasoning-Based Generation (Weeks 5-6)**
+
+**Week 1: Introduction and Theory**
+- **Learning Objectives:**
+  - Understand reasoning-based code generation
+  - Learn formal verification integration
+  - Master quality assessment metrics
+
+- **Topics Covered:**
+  - Reasoning methodologies in hardware design
+  - Formal verification principles
+  - VeriThoughts dataset and benchmarks
+  - Quality metrics and correctness guarantees
+
+- **Homework Assignment:**
+  - Use VeriThoughts to generate a counter with enable
+  - Apply formal verification to validate the design
+  - Compare reasoning-based vs. direct generation approaches
+  - Analyze the verification results and fix any issues
+
+**Week 2: Hands-on Workshop**
+- Homework review and discussion
+- Advanced reasoning techniques
+- Formal verification tools hands-on
+- Project: Design and verify a shift register
+
+**Resources:**
+- 📄 Paper: https://arxiv.org/abs/2505.20302
+- 💻 Code: https://github.com/wilyub/VeriThoughts
+- 📊 Tutorial: `colab-scripts/VeriThoughts_Tutorial.ipynb`
+
+---
+
+### **Module 4: Veritas - CNF-Guided Synthesis (Weeks 7-8)**
+
+**Week 1: Introduction and Theory**
+- **Learning Objectives:**
+  - Understand CNF (Conjunctive Normal Form) in hardware design
+  - Learn deterministic synthesis methodologies
+  - Master correctness-by-construction principles
+
+- **Topics Covered:**
+  - CNF fundamentals and applications
+  - LLM-generated CNF specifications
+  - Deterministic Verilog synthesis
+  - Correctness guarantees and validation
+
+- **Homework Assignment:**
+  - Generate CNF specifications for a 4-bit adder
+  - Convert CNF to Verilog using Veritas
+  - Validate the generated design
+  - Compare with traditional design approaches
+
+**Week 2: Hands-on Workshop**
+- CNF-to-Verilog conversion practice
+- Homework solution review
+- Advanced Veritas features
+- Lab: Design a priority encoder using CNF
+
+**Resources:**
+- 📄 Paper: https://arxiv.org/pdf/2506.00005v1
+- 💻 Code: https://github.com/PrithwishBasuRoy/Veritas.git
+- 📊 Tutorial: `colab-scripts/Veritas_tutorial.ipynb`
+
+---
+
+### **Module 5: LLM-Aided Testbench Generation (Weeks 9-10)**
+
+**Week 1: Introduction and Theory**
+- **Learning Objectives:**
+  - Master testbench generation principles
+  - Understand coverage-driven verification
+  - Learn EDA tool integration strategies
+
+- **Topics Covered:**
+  - Functional testing fundamentals
+  - Coverage metrics and analysis
+  - EDA tool feedback integration
+  - Iterative testbench refinement
+
+- **Homework Assignment:**
+  - Generate comprehensive testbenches for a finite state machine
+  - Analyze coverage reports and identify gaps
+  - Use LLM feedback to improve test coverage
+  - Document the iterative improvement process
+
+**Week 2: Hands-on Workshop**
+- Testbench evaluation and improvement
+- Coverage analysis techniques
+- EDA tool integration practice
+- Project: Complete verification of a FIFO design
+
+**Resources:**
+- 📄 Paper: https://arxiv.org/html/2406.17132v1
+- 💻 Code: https://github.com/jitendra-bhandari/LLM-Aided-Testbench-Generation-for-FSM/
+- 📊 Tutorial: `colab-scripts/LLM_Aided_Testbench_Generation_for_FSM.ipynb`
+
+---
+
+### **Module 6: SystemVerilog Assertion Generation (Weeks 11-12)**
+
+**Week 1: Introduction and Theory**
+- **Learning Objectives:**
+  - Understand assertion-based verification
+  - Master natural language to SVA conversion
+  - Learn security-centric assertion design
+
+- **Topics Covered:**
+  - SystemVerilog Assertion (SVA) fundamentals
+  - Natural language processing for hardware specs
+  - Security assertion patterns
+  - Formal verification with assertions
+
+- **Homework Assignment:**
+  - Convert natural language security specifications to SVA
+  - Implement assertions for a simple processor interface
+  - Test assertions using formal verification tools
+  - Analyze assertion coverage and effectiveness
+
+**Week 2: Hands-on Workshop**
+- Assertion writing best practices
+- Security assertion patterns
+- Formal verification with SVA
+- Final project: Secure communication protocol assertions
+
+**Resources:**
+- 📄 Paper: https://arxiv.org/pdf/2506.21569
+- 💻 Code: https://github.com/FCHXWH823/RAG-aided-Assertion-Generation
+- 📊 Tutorial: `colab-scripts/Hybrid_NL2SVA.ipynb`
+
+---
+
+### **Module 7: C2HLSC - Software to Hardware Bridge (Weeks 13-14)**
+
+**Week 1: Introduction and Theory**
+- **Learning Objectives:**
+  - Master C-to-HLS code transformation
+  - Understand software-hardware design gaps
+  - Learn automated refactoring techniques
+
+- **Topics Covered:**
+  - High-Level Synthesis (HLS) fundamentals
+  - C code refactoring for hardware synthesis
+  - Streaming interfaces and hardware optimizations
+  - Automated framework design
+
+- **Homework Assignment:**
+  - Refactor a C implementation of AES encryption for HLS
+  - Apply C2HLSC framework to convert software algorithms
+  - Analyze synthesis results and optimization opportunities
+  - Compare software vs. hardware implementations
+
+**Week 2: Hands-on Workshop**
+- HLS optimization techniques
+- Advanced C2HLSC features
+- Performance analysis and comparison
+- Capstone project: End-to-end software-to-hardware design flow
+
+**Resources:**
+- 📄 Paper: https://arxiv.org/abs/2412.00214
+- 💻 Code: https://github.com/Lucaz97/c2hlsc
+- 📊 Tutorial: `colab-scripts/C2HLSC_Tutorial.ipynb`
+
+---
+
+## Assessment Structure
+
+### Weekly Homework (50%)
+- Week 1 of each module: Theoretical understanding and setup (25%)
+- Week 2 of each module: Practical implementation and analysis (25%)
+
+### Module Projects (30%)
+- Mid-term project (Week 7): Integration of Modules 1-3
+- Final project (Week 14): Comprehensive design using multiple tools
+
+### Participation and Labs (20%)
+- In-class workshop participation
+- Peer code reviews
+- Discussion forum contributions
+
+## Prerequisites
+- Basic understanding of digital logic design
+- Familiarity with Verilog/SystemVerilog
+- Python programming experience
+- Access to EDA tools (simulation and synthesis)
+
+## Required Software
+- Python 3.8+
+- ModelSim/QuestaSim or equivalent simulator
+- Synthesis tools (Vivado, Quartus, or equivalent)
+- Git for version control
+- Jupyter Notebook environment
+- LLM API access (OpenAI, Anthropic, or equivalent)
+
+## Learning Outcomes
+By the end of this course, students will be able to:
+1. Apply LLMs effectively for hardware design automation
+2. Implement hierarchical design methodologies
+3. Generate and verify hardware designs using AI tools
+4. Create comprehensive testbenches and assertions
+5. Bridge software and hardware design domains
+6. Evaluate and compare different AI-driven design approaches
+7. Integrate multiple tools for complete design flows
+
+## Additional Resources
+- **Videos:** Course video materials in `/videos` directory
+- **Slides:** Lecture presentations in `/slides` directory
+- **Code Examples:** Hands-on tutorials in `/colab-scripts` directory
+- **Reference Papers:** Links provided in each module section
+
+## Support and Office Hours
+- Instructor office hours: TBD
+- TA sessions: TBD
+- Online discussion forum: TBD
+- Technical support: Course GitHub repository issues
+
+---
+
+*This syllabus provides a structured 14-week journey through the cutting-edge intersection of AI and chip design, preparing students for the future of hardware engineering.*