university, school, college, department, institute的区别

这些个词没有太大区别,有时候有些词是可以通用的,而有些用法则是随着地域时间的不同而变迁。

一般说来,college译作“学院”,它是university (综合性大学)的一个组成部分,例如,一所综合大学里设有文学院、理学院、医学院等,故university往往是由多所较小的college合并而成。
值得注意的是,在英国,大学称为university,而在美国大学称为college;有些规模较小的大学也可称之为junior college(大专)。

“学院”对应的英文词很多,除了college之外,有institute,academy,school,conservatory,centre和faculty等字,例如以前的上海和北京的外语学院均用institute一词,麻省理工学院(MIT)也叫institute;美国的西点军校用academy;独立的音乐学院或大学多用conservatory或academy(欧洲多用);但一所大学内的音乐学院则叫School of Music或College of Music。西方有些医学院称之为medical centre;英国大学的学院则大都用school,如London School of Economics,较小的学院称为faculty,如Faculty of Science、Faculty of Arts,而神学院则用seminary一词。

Institute一般也译作“学院”,但它着重表示单科的或专科性的院校,例如,在中国,一般的铁道、航空、邮电、美术等学院均用institute一词。值得注意的是,世界著名的学府MIT(麻省理工学院)是一所多学科性的大学,但它依然用institute一词,即:Massachusetts Institute of Technology,既为世人所知,就没有必要把它改称为university了。

由此可见,用词不同多因地区不同而发生:

college 在美国指大学,在英国则指学院,甚至中学;所以香港的中学很少称为middle school而叫college。school一词则既指大学学院,也解作一般中小学校。

有趣的是,university一词可以和college连用。英国有个以研究英语语音学而闻名于世的学者,叫Daniel Jones,年轻时,他曾攻读于伦敦的一所称为University College School(英国一所中学)。这里的University College是专有名词,用作定语,修饰School。

另,你还提到department,注意在大学中,department多指“系”(位于学院college之下),譬如某大学(university)中的外语学院(College/Institute/School of Foreign Languages)就包括英语系,日语系,俄语系等等……这里的系就用department。

college, university, institute, school, academy 这些名词均含有“学院,大学”之意。 college〓多指大学内的学院,分科学院或科目较少的高等学校。 university〓主要指综合大学,一般由多个学院组成。当泛指大学时通常用college表示。 institute〓指设立有专门学科的学院,如外语学院地质学院、建筑学院等。 school〓指大学所属的学院或系。 academy〓指(高等)专科院校或研究专门学术的学校。 参考资料:http://blog.zol.com.cn/blog/zo/zolbbs/342280.html http://www.engsky.com/n6430c5.aspx

-------------------------------------------------

college, university, institute, school, academy 
这些名词均含有“学院,大学”之意。 
college〓多指大学内的学院,分科学院或科目较少的高等学校。 
university〓主要指综合大学,一般由多个学院组成。当泛指大学时通常用college表示。 
institute〓指设立有专门学科的学院,如外语学院、地质学院、建筑学院等。 
school〓指大学所属的学院或系。 
academy〓指(高等)专科院校或研究专门学术的学校。

用词不同多因地区不同而发生:college 在美国指大学,在英国则指学院,甚至中学;所以香港的中学很少称为middle school而叫college。school一词则既指大学学院,也解作一般中小学校。

时间: 2024-11-08 23:51:39

university, school, college, department, institute的区别的相关文章

KDD2015,Accepted Papers

Accepted Papers by Session Research Session RT01: Social and Graphs 1Tuesday 10:20 am–12:00 pm | Level 3 – Ballroom AChair: Tanya Berger-Wolf Efficient Algorithms for Public-Private Social NetworksFlavio Chierichetti,Sapienza University of Rome; Ales

Geoffrey E. Hinton

https://www.cs.toronto.edu/~hinton/ Geoffrey E. Hinton I am an Engineering Fellow at Google where I manage Brain Team Toronto, which is a new part of the Google Brain Team and is located at Google's Toronto office at 111 Richmond Street. Brain Team T

Saw a tweet from Andrew Liam Trask, sounds like Oxford DeepNLP 2017 class have all videos slides practicals all up. Thanks Andrew for the tip!

Saw a tweet from Andrew Liam Trask, sounds like Oxford DeepNLP 2017 class have all videos/slides/practicals all up. Thanks Andrew for the tip! Preamble This repository contains the lecture slides and course description for the Deep Natural Language P

56 Facial Recognition Research Groups to Watch

56 Facial Recognition Research Groups to Watch The research of facial recognition has been a fascinating journey. It began in the 1960s with Woody Bledsoe, Helen Chan Wolf, and Charles Bisson who created programs to assist with basic face recognition

{ICIP2014}{收录论文列表}

This article come from HEREARS-L1: Learning Tuesday 10:30–12:30; Oral Session; Room: Leonard de Vinci 10:30  ARS-L1.1—GROUP STRUCTURED DIRTY DICTIONARY LEARNING FOR CLASSIFICATION Yuanming Suo, Minh Dao, Trac Tran, Johns Hopkins University, USA; Hojj

2017年Nature文章“Millions of online book co-purchases reveal partisan differences in the consumption of science”阅读笔记

论文:      Millions of online book co-purchases reveal partisan differences in the consumption of science 发表期刊:Nature 2017 (Human Behavior) 作者:       Feng Shi, Yongren Shi, Fedor a. Dokshin, James a. evans and Michael W. Macy 单位:     Computation Instit

Top 100 Best Blogs for iOS Developers

(by JP Zhang | Last updated: Apr 5, 2016 )  转载自:http://www.softwarehow.com/best-blogs-for-ios-developers/ If you are looking for insightful and educational iOS development blogs, you've come to the right place. Here are my 100 favorite, active blogs

(转)Awesome Courses

Awesome Courses  Introduction There is a lot of hidden treasure lying within university pages scattered across the internet. This list is an attempt to bring to light those awesome courses which make their high-quality material i.e. assignments, lect

机器学习评判指标

0.背景 机器学习通常评判一个算法的好坏,是基于不同场景下采用不同的指标的.通常来说,有: [x] 准确度:PR (Precision Recall): [x] F测量: [ ] MCC: [ ] BM: [ ] MK: [ ] Gini系数: [x] ROC: [ ] Z score: [x] AUC : [ ] Cost Curve: [ ] BLEU: [ ] Matthews correlation coefficient: [ ] METEOR: [ ] Brier score: [