Class-Project

一个包含数据科学本科专业课作业的项目文件夹
目前包括的课程有

一、操作系统

（四个project ）
【一个简易的shell &三个修改minix实现
内存管理 &I/O subsystem(ram盘管理）&chrt调用的相关修改】

二、计算机网络

（Java多线程&Java RPI&以及final project ）

三、专业英语

（1.蘑菇二分类BP神经网络（训练30次准确率达到100%）
（2.基于PHP的小型网址文件夹（支持增删改查等基本操作））

四、概率论

卷积 图像平滑 模拟poker计算同花顺概率等

五、数据科学的数学基础

课程python程序（图像压缩 欧式距离 旋转图片 谱图聚类 LU分解 SVD分解等）

六、计算机系统与云计算

shlab in CMU

七、数据库

寻宝小游戏（postgresql版&mongodb版）

八、算法

1.图片PCA压缩
2.基于爬山算法的抽取式文档摘要

九、统计

1.蒙特卡洛求样本偏度峰度
2.区间估计
3.EM算法（同卵双胞胎问题）
4.随机投点法 平均值法

十、分布式系统

包括mapreduce、spark、flink 的java编程实现

十一、当代人工智能

包括文本分类（textCNN)、CNN手写体识别、德英机器翻译(tensorflow seq2seq)、基于预训练的节点分类(bert)

十二、计算机视觉

cs231n assignment1&2&3

十三、软件系统优化

mit系统assignments&基于opentuner的编译优化器

ENGLISH VERSION

A project folder containing data science undergraduate professional coursework
The courses currently included are

1. Operating system

(four projects) [A simple shell & three modified minix implementations
Memory management& I/O subsystem (ram disk management) and related modifications of chrt call]

2. Computer network

(Java multithreading & Java RPI & final project)

3. Professional English

(1. BP neural network in mushroom classification (training 30 times with an accuracy rate of 100%)
its dataset is in the kaggle mushroom
(2. Small URL folder based on PHP
(supports basic operations such as adding, deleting, modifying and checking))

4. Probability Theory

Convolution& image smoothing& simulation poker calculation of straight flush probability, etc.

5.Mathematical Foundation of Data Science & Engineering

python program (image compression &Euclidean distance &rotating picture &spectral clustering& LU decomposition& SVD decomposition, etc.)

6.Computer system and Cloud Computing

shlab in CMU

7、 Database

Treasure hunt game development (PostgreSQL version & mongodb version) < br >

8、 Algorithm

1. Image PCA compression < br >
2. Extracted document summary based on mountain climbing algorithm

9、 Statistics

1. Calculate sample skewness and kurtosis by Monte Carlo < br >
2. Interval estimation < br >
3. EM algorithm (identical twins problem) < br >
4. Random point method average method < br >

10、 Distributed system

Including the Java programming implementation of MapReduce, Spark and Flink

11. Contemporary Artificial Intelligence

Including text classification (textCNN), MNIST handwriting recognition(CNN), German-English machine translation (tensorflow seq2seq), node classification based on pre-training model (bert hugging face)

12. Computer Vision

cs231n assignment1&2&3

13. software system optimization

MIT system course assignments & opentuner-based compiler optimizer