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Prepare your lesson on complexity

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評估

難度
2/5
預估耗時
半天
新手友好度
68/100
Issue 類型
文件
描述清晰度
描述清楚
活躍度
冷清

研究方向

從 https://sdc.codeyourfuture.io/complexity/prep/ 的課程作業頁面開始,選擇一個列出的主題,並使用連結的資源探索該主題。準備一堂不使用電腦的課程或簡報,並在課堂上進行 demo;週五的 demo 和 ITP trainees 提供了取得回饋的機會。

由索引模型根據 Issue 內容生成。

描述

🏕 Priority Mandatory 🐂 Size Medium 📅 Sprint 1 Core Module-Complexity Submit:None
Link to the coursework

https://sdc.codeyourfuture.io/complexity/prep/

Learning Objectives
  • Put together a presentation on a topic you explored in prep
Why are we doing this?

By teaching we learn. The best way to really understand a subject well is to know it well enough to teach another.

In class this week you will be teaching something. You will be explaining one of the following computer science concepts. You will not use a computer to explain this, but something else. This could be a whiteboard presentation, a drawing, a game, a conversation, or anything you like that will help you communicate the concept, except a computer!

Topics (for both sprints)
  1. Caching
  2. Precomputing
  3. Memoisation
  4. Time complexity of either logarithmic, linear, quadratic, or exponential algorithms
  5. Any sorting algorithm that takes your fancy
  6. Any search strategy
Maximum time in hours

4

How to get help

Come to Friday demos to practice your lesson. Ask trainees in the ITP course to give you feedback.

How to submit

Give your demo in class.

How to review

No response

Anything else?
主要語言
Python
星號
0
分支
60
PR 合併指標
30 天內沒有已合併 PR

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  3. Fork 儲存庫,在一個分支上完成修改。
  4. 送出 Pull Request,並在描述裡引用這個 Issue 編號。

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