# NCR Course Module 2
## Class 4 Lesson Plan
## Advanced Data Evaluation Methods with AI

[(Recording)](https://t.me/ResearchWG/129/4629)

>Register for the class [here](https://near.social/research-collective.near/widget/NCR.v1)

**Lead Facilitator**: [Chloe](https://near.social/mob.near/widget/MyPage?accountId=chloe.near)
**Co-Facilitators**: [Nedlar](https://near.social/mob.near/widget/ProfilePage?accountId=15870c8972a9fe6cdb7dfc2df835740108e8674cc170a091cd0ece0b9e4f6cfa) & [BGem](https://near.social/mob.near/widget/ProfilePage?accountId=bheegem.near)
**Guest Lecturer**: [JeffGold](https://near.org#/near/widget/ProfilePage?accountId=jeffgold.near)
**Date**: March 20, 2024
**Time**: 10 AM AST (2 PM UTC)
**Duration**: 1 hour
**Platform**: [Telegram](https://t.me/ResearchWG/181)

**Target Audience**: The course is crafted to cater to non-technical researchers embarking on their journey in the domain of web3 technologies. It assumes no prior technical background and aims to build a foundational understanding of advanced data analysis techniques in a web3 context.

**Learning Objectives**: The primary objective is to introduce participants to advanced data analysis techniques, focusing on leveraging AI for in depth data analysis.

### Pre-Reading Material

- **Course Syllabus**: [NRC Course Syllabus](https://hackmd.io/@doulos819/NRC)
- [Writing a Research Paper Using AI Tools in a Weekend](https://medium.com/@iqra1804/writing-a-research-paper-using-ai-tools-in-a-weekend-e0a9347174d0)
- [Using AI-powered tools effectively for academic research](https://www.editage.com/insights/using-ai-powered-tools-effectively-for-academic-research?refer=scroll-to-1-article&refer-type=article)
- [Use of artificial intelligence in scientific paper writing](https://www.sciencedirect.com/science/article/pii/S2352914823000953)
- [Big Data Analytics Using Artificial Intelligence]([https://www.sciencedirect.com/science/article/pii/S2352914823000953](https://www.mdpi.com/2079-9292/12/4/957))

### Agenda

| Time | Topic | Activity | Resource |
|------------|------------------------------|-------------------------------------------------------|------------------------------------------------------|
| 0-5 mins | Introduction | Briefing on course outline and objectives. | [NRC Course Syllabus](https://hackmd.io/@doulos819/NRC) |
| 5-15 mins | Power of AI for Research | Overview of reading materials. | [Articles/Papers](https://hackmd.io/ArsJs-oMTpu3DiYq26PxGw#Pre-Reading-Material)
| 15-40 mins | Guest Lecture from [jeffgold](https://near.org#/near/widget/ProfilePage?accountId=JeffGold.near) | Hands-on session on using AI for complex data analysis. | AI tools |
| 40-50 mins | Q&A | Open floor for questions. Overview last weeks HW | [Homework and Assignment Thread on TG](https://t.me/ResearchWG/1436) |
| 50-55 mins | Summary and Next Steps | Summary of the session and introduction to next lesson.| [Next Class - 3: Research Topic Identification](https://hackmd.io/@doulos819/ncr-05)|

### Activities Details

1. **Power of Data Visualization for Analysis**
- This segment focuses on the transformative power of AI in analyzing complex datasets. Participants will be introduced to cutting-edge AI tools and methodologies that can significantly enhance the process of data evaluation and analysis. The session is designed to bridge the gap for non-technical researchers, providing them with the knowledge to harness AI for insightful data analysis within the web3 ecosystem.

2. **Guest Lecture: JeffGold**
- JeffGold will lead a hands-on tutorial on how to effectively use AI for in depth data analysis, within a blockchain/research context.

### Homework
- Test out [ShillGPT](https://near.social/shillgpt.near/widget/Index) on near. New accounts get a free request.