# 08-20 FRI

| 2022 S1                                                                                          |
| ------------------------------------------------------------------------------------------------ |
| [COMP3027: Algorithm Design](https://cusp.sydney.edu.au/students/view-unit-page/alpha/COMP3027)  |
| [COMP3308: Introduction to Artificial Intelligence](https://www.sydney.edu.au/units/COMP3308)    |
| [MATH2021: Vector Calculus and Differential Equations](https://www.sydney.edu.au/units/MATH2021) |
| [MATH2022: Linear and Abstract Algebra](https://www.sydney.edu.au/units/MATH2022)                |
|                                                                                                  |

| 2022 S2                                                                                         |
| ----------------------------------------------------------------------------------------------- |
| [MATH3078: PDEs and Waves](https://www.sydney.edu.au/units/MATH3078)                            |
| [MATH3968: Differential Geometry (Advanced)](https://www.sydney.edu.au/units/MATH3968)          |
| [MATH3977: Lagrangian and Hamiltonian Dynamics (Adv)](https://www.sydney.edu.au/units/MATH3977) |
| [COMP2022: Models of Computation](https://www.sydney.edu.au/units/COMP2022)                     |
| [COMP3520: Operating Systems Internals](https://www.sydney.edu.au/units/COMP3520)               |
| SCPU3001 / MATH3888                                                                             |

| 2022 Intensive                                                                                      |
| --------------------------------------------------------------------------------------------------- |
| [OLET2148: Thinking Critically](https://www.sydney.edu.au/units/OLET2148)  (April)                  |
| [OLET1603: Analysing and Plotting Data: Python ](https://www.sydney.edu.au/units/OLET1603) (August) |
| [OLET1618: Data Science in Astronomy: Algorithms](https://www.sydney.edu.au/units/OLET1618) (April) |
| [OLET1620: Data Science in Astronomy: Analysis](https://www.sydney.edu.au/units/OLET1620) (May)     |

| OLE Unit Reserve                                                                                              |
| ------------------------------------------------------------------------------------------------------------- |
| [OLET2610: Foundations of Quantum Computing](https://www.sydney.edu.au/units/OLET2610) (March, April)         |
| [OLET1625: Reading and Writing Mathematics](https://www.sydney.edu.au/units/OLET1625) (February, July)        |
| [OLET1666: Writing with LaTeX](https://www.sydney.edu.au/units/OLET1666) (February, July)                     |
| [OLET1303: Understanding Web Skeletons and Skins](https://www.sydney.edu.au/units/OLET1303) (S1)              |
| [OLET1309: Interactive Web Pages with JavaScript ](https://www.sydney.edu.au/units/OLET1309) ( S1 )           |
| [OLET1636: Astronomy: from Earth to Exoplanets](https://www.sydney.edu.au/units/OLET1636) (March, August)     |
| [OLET1638: Astronomy: from Stars to Black Holes](https://www.sydney.edu.au/units/OLET1638) (April, September) |
| [OLET1640: Astronomy: from Big Bang to Darkness](https://www.sydney.edu.au/units/OLET1640) (May, October)     |

2022 S1 的课没什么好说的，三门必修（SOFT 和 MATH），算法和人工智能导论是爱好，到时候可能只有二选一，毕竟还有10cp的OLE要学。

S2的课显然overloading了，这些都还没包括OLE，到时候可能也得6选4，如果把SCPU3001或放到寒暑假去学，剩下在主学期的5门说不定可以选4门。微分几何（MATH3968）和朗氏与和哈密顿力学（MATH3977）大概涵盖了四大力学中除统计力学以外的内容。而偏微分方程和波（MATH3078）也是物理相关的，想学。然后大四（2023年）想去学统计力学（PHYS3034），只是不知道教授会不会同意。

> 统计力学最难，因为：
>
> 如果你学了微分几何，那么：\
> 理论力学的各种张量很简单\
> 分析力学无非是流形上的对偶丛和辛结构、李群\
> 量子力学的各种对易关系无非是理论力学的翻版\
> 经典电动力学无非一个Stokes公式，狭义相对论无非是个度量空间，广义的不平直，电磁还可以用电磁势进一步简化可是微分几何这样牛叉，还是没能搞定统计力学。\
> \
> 作者：jRONI\
> 链接：<https://www.zhihu.com/question/26698975/answer/487909657\\>
> 来源：知乎\
> 著作权归作者所有。商业转载请联系作者获得授权，非商业转载请注明出处。

相关链接：

哈密顿力学和拉格朗日力学分别的优势是什么？ - 知乎 <https://www.zhihu.com/question/51301781>

你认为四大力学哪个最难学？ - 知乎 <https://www.zhihu.com/question/26698975>

Stein 大神的 4 本分析有顺序吗？ - 张戎的回答 - 知乎 <https://www.zhihu.com/question/313493368/answer/1256327788>

学习微分几何，需要哪些预备知识？ - Yuhang Liu的回答 - 知乎 <https://www.zhihu.com/question/27447854/answer/351559860>

微分几何教材 - 空林玄一Budamind的文章 - 知乎 <https://zhuanlan.zhihu.com/p/116711920>

自学量子物理 <https://www.zhihu.com/question/467251726/answer/1963580318>
