fix translations

docs/index.en.md

@@ -8,4 +8,4 @@ All the courses in this repository are developed in MIT, UC Berkeleys, Princeton
 
 Let's self-learning together and get better together !
 
-If you find this repo helpful for you, your star2 is the best gift for me ~
+If you find this repo helpful for you, your star is the best gift for me ~

docs/编程入门/MIT-Missing-Semester.en.md

@@ -4,11 +4,11 @@
 
 - Offered by: MIT
 - Prerequisites: None
-- Programming lanuages used: Shell
+- Programming lanuages: Shell
 - Difficulty: 🌟🌟
-- Credits: 10 hours
+- Class Hour: 10 hours
 
-Just as the course name indicated, this course will teach the missing things in the university courses. It will cover shell programming, git, vim editor, tmux, ssh, sed, awk and even how to beatify your terminal. Trust me, this will be your first step to become a hacker !
+Just as the course name indicated, this course will teach the missing things in the university courses. It will cover shell programming, git, vim editor, tmux, ssh, sed, awk and even how to beautify your terminal. Trust me, this will be your first step to become a hacker!
 
 ## Resources
 

mkdocs.yml

@@ -73,16 +73,17 @@ plugins:
         en:
           name: English
           build: true
+      site_name: CSDIY.wiki
       nav_translations:
         en:
-          前言: Introduction
+          前言: Foreword
           一个仅供参考的CS学习规划: Guideline
-          必学工具: Tools
+          必学工具: Productivity Toolkit
           好书推荐: Book Recommendation
-          数学基础: Mathematics Fundamental
+          数学基础: Fundamental Mathematics
           数学进阶: Advanced Mathematics
-          编程入门: Programming Fundamental
-          电子基础: Electronic Fundamental
+          编程入门: Fundamental Programming
+          电子基础: Fundamental Electronics
           数据结构与算法: Data Structures and Algorithms
           软件工程: Software Engineering
           体系结构: Computer Architecture
@@ -95,7 +96,7 @@ plugins:
           计算机图形学: Computer Graphics
           Web开发: Web Development
           数据科学: Data Science
-          人工智能: AI Fundamental
+          人工智能: Artificial Intelligence
           机器学习: Machine Learning
           机器学习系统: Machine Learning Systems
           深度学习: Deep Learning

template.en.md

@@ -4,9 +4,9 @@
 
 - Offered by:
 - Prerequisites:
-- Programming lanuages used:
+- Programming lanuages:
 - Difficulty:
-- Credits:
+- Class Hour:
 
 <!-- Course Information -->