《专业英语》课程简介
Subject-Based English
课程编号: 学分:2 学时:32 讲课学时:32 实验学时(实践学时):
内容简介:《专业英语》是机械工程专业方向的一门专业选修课。本课程为机械工程专业大学四年级学生经过了基础英语以及本专业课程的学习之后,为进一步提高他们的阅读、翻译有关专业文献和科技英语的写作能力而开设的选修课程。网页游戏排名课程内容涉及金属切削原理、特种加工、机床及液压传动系统等专业相关知识网线的排列顺序。本课程教学,不仅可以使学生们熟悉和掌握本专业常用的专业词汇、词组及其用法,还能进一步巩固专业知识的学习,同时培养了学生科技英语的翻译、写作能力。本课程的学习将为学生学习新的科学知识与技术、查阅本专业英文文献、掌握国际上本专业发展动态打好语言基础。
适用专业:机械工程
先修课程:《大学英语》、《机械制造技术基础》、《互换性与测试技术》、《液压传动与气压传动》等
选用教材:《机械制造专业英语》,章跃主编,机械工业出版社,2009
打印机端口设置开课单位:机械工程学院机制教研室
Course Number: 0010908048 Credit: 2 Class Periods: 32 Lecture Periods: 冰箱冷藏几度最好32 Experiment Periods: 0
两个胖子打一城市名Description of the Course: Subject-Based English is a specialized elective course of mechanical engineering and automation major field. The course is for the senior students of mechanical engineering and automation major field after learning College English and some professional courses. The purpose of the course is to improve their abilities of reading and translating relevant professional literatures and writing science and technology English. The course contents include metal cutting theory, special processing, machine tool and hydraulic transmission system and other relevant professional knowledge. According to the learning of the course, the students not only can know and master commonly used professional vocabularies, phrases and their usage methods, but also can consolidate professional knowledge. The ability of translating and writing subject-
based English will also be increased. The learning of the course is of great benefit for students to learn new science and technology knowledge, refer professional literatures in English and master international development trend of the professional knowledge.
Major Field: mechanical engineering
Prerequisite Courses: College English, Theory of Mechanical Manufacturing Technology, Interchangeability and Measurement Technology, Hydraulic and Pneumatic Transmission.
Teaching Material: 克拉拉 情圣Technical English for Mechanical Engineering, Zhang Yue, China Machine Press, 2009
Teaching Unit: Mechanical Manufacturing and Automation Research Center of School of Mechanical Engineering
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