PART ONE. Major Introduction
Automation is the science and technology of automatic, intelligent, autonomous, efficient and safe operation of machines, equipment, systems, or production and management processes, which is also one of the most important symbols of modern civilization. Automation Science and technology is one of the most important, fastest growing, most widely used and most effective technologies in the world, which plays an irreplaceable important role in national economic and social development and national defense construction. Automation Science and technology has been widely applied in many fields of industry, agriculture, transportation, commerce, defense and society. Automation system has become the core and soul of advanced manufacturing, energy system, process industry, manned spacecraft, high-speed railway, intelligent robots, intelligent transportation, military equipment and other complex engineering systems. The automation specialty belongs to the engineering subject, which is based on information theory, cybernetics and system theory, and mainly studies the principle and technology of automatic control and its application to various control objects. It plays a vital role in promoting industrialization and promoting the integration of the two industries.
The major of automation at School of Control Science and Engineering was built in 1959. After more than half a century of development, it has been accredited as a national specialty, and the first brand majors in Shandong Province. It has a national key discipline of “control theory and control engineering”, and the Shandong Province key discipline of “power electronics and power transmission”. It has the “Engineering Research Center of Power Electronic Energy-saving Technology & Equipment, Ministry of Education”, and two key laboratories of Shandong Province, “Engineering System Control” and “Renewable Energy and Power Electronic Energy Saving Technology”. It has the post-doctoral mobile workstation of control science and engineering. It has the doctor and master's degree authorizations on control theory and control engineering, systems engineering, pattern recognition and intelligent systems, power electronics and electrical drives. It also has the authority to confer master of engineering in control engineering, and the right to confer master's degree in control theory and control engineering education. A complete personnel training system has been established.
PART TWO. Cultivation Objective
The objective is to cultivate the students with a high sense of social responsibility, scientific and cultural excellence, with strong theoretical foundation, broad professional knowledge and strong practical ability, full of modern scientific innovation consciousness and broad international vision, so that they can become composite automation engineering scientific talent in areas such as scientific research, technology development, education and management, and process in industrial enterprises, universities and scientific research departments of defense, control, motion control, energy system, modern integrated manufacturing systems, navigation guidance and control, intelligent control, pattern recognition and artificial intelligence and robotics, systems engineering, modern testing technology, signal processing and control, network and computer application.
PART THREE. GRADUATIONAL GOALS
The training model of Science and Engineering Combined Test Class for Automation is different from the Mathematics Specialty and the traditional Automation Specialty. The requirement is to cultivate science and engineering compound talents with engineering background and deep theoretical basis, who adhere to the concept "go theory from engineering, go engineering from theory", and to achieve the successful combination of theory and practice. Specific requirements are as follows:
Knowledge: to cultivate knowledge of cutting edge topics in contemporary society and technology from the perspective of automation professionals, and the knowledge structure has both breadth and depth of leadership in composited science and engineering.
Quality: the fusion of sinology accomplishment, entrepreneurship management, art aesthetic, humanities, social sciences, natural sciences, humanistic quality of engineering technology, scientific and engineering qualities, and understanding of the automation of the occupation responsibility and occupation moral.
Ability: to develop students' five major capabilities including independent learning, innovative thinking, international communication, teamwork, and organization and execution. Specific include: the use of mathematics, science and engineering knowledge; the design and implementation of the experiment and the data analysis and interpretation; design of automatic system, equipment or process considering the economic, environmental and social, political, moral, health, safety, easy processing, sustainability under practical constraints; the ability from the perspective of different disciplines in the team; put forward and solve the problem of automation engineering; effective communication ability; recognizing the need for lifelong learning and be qualified for lifelong learning; comprehensive using of technology, skills and modern engineering tools for automation engineering practice.
Vision: with sufficient knowledge, social responsibility and international competence, able to understand automation engineering solutions in the global, economic, environmental and social background, and become a leading talent.
PART FOUR. CORE COURSES
The core compulsory courses of this major are: Mathematical Analysis、Advanced Algebra、Probability and Statistics、Functions of Complex Variables and Equations of Mathematical Physics、College Physics、Automatic Control Theory I、Automatic Control Theory II、Analog Electronic Technology、Digital Electronic Technology、Principle and Interface Technology of Microcomputer、Computer Control Technology、Signal Analysis and Processing、Automatic Measuring Technology、Electric Machinery and Electric Drives、Power Electronic Technology、Motion Control Systems、Process Control System、Electric Power System Basics, etc.
PART FIVE. MAIN PRACTICE SESSIONS (including professional laboratory training)
The main practice sessions and professional laboratory training of this majors are:
(1) Main Professional Laboratory Training
The main professional courses of laboratory trainings include: Automatic Control Theory I, Automatic Control Theory II, Analog Electronic Technology, Digital Electronic Technology, Principle and Interface Technology of Microcomputer, Computer Control Technology, Signal Analysis and Processing, Automatic Measuring Technology, Electric Machinery and Electric Drives, Power Electronic Technology, Motion Control Systems, Process Control System, Electric Power System Basics, etc.
(2) Practical Teaching
The practical teaching subjects include: Martial Training, Engineering Training（Metalworking Experience）, Martial Training（Electrical & Electronics Experience）, Science and Technology Practice for Automation, Course Exercise in Electronic Technology, Design Practice of Single Chip Microcomputer Application System, Comprehensive Course Exercise of Process Control System, Comprehensive Course Exercise of Motion Control System, Graduation Practice, Senior Thesis, etc.
In order to improve the science and technology innovation capacity of the students, all students are encouraged to take part in the comprehensive science and technology competitions by the organization and guidance of the professional teachers or corporate senior technical staff. Such as the national collegiate mathematic modeling contest, the national collegiate robotic contest, the national collegiate intelligence car race, the B&R automation contest, etc. Besides, students are guided and encouraged to carry out scientific and technological research and training, and publish the academic papers and patents.
PART SIX. TOTAL CREDITS FOR GRADUATION 183 Credits
PART SEVEN. STAND STUDY DUATION 4 Years
Longest duration 6 Years
PART EIGHT. DEGREE CONFERRED Bachelor of Engineering
PART NINE. GROUP COURSES & CREDIT PROPORTIONS
课程 性质 |
课程类别 Types of courses |
学分 Credit |
学时 Credit Hours |
占总学分 百分比 Percentage |
必 修 课 Compulsory Courses |
通识教育必修课程 Compulsory General Education Courses |
159 |
32 |
2517学时+33周 |
784 |
87.8453% |
17.6796% |
学科平台基础课程 Compulsory Disciplinary Platform Basic Courses |
32 |
544 |
17.6796% |
专业必修课程Compulsory Professional Courses |
理论教学 Theoretical Teaching and Learning |
63.6875 |
1019 |
35.1865% |
实验教学 Lab Teaching and Learning |
课内实验课程 Integrated Experiment |
4.3125 |
138 |
2.3826% |
独立设置实验课程 Separate Experiment |
1 |
32 |
0.5525% |
实践教学Practice Teaching and Learning |
课内实践课程 Integrated Practice |
0 |
0 |
0% |
独立设置实践课程 Separate Practice |
26 |
33周 |
14.3646% |
选 修 课 SelectiveCourses |
通识教育核心课程 Core General EducationCourses |
22 |
12 |
899 |
192 |
12.1547% |
6.6298% |
通识教育选修课程 Selective General Education Courses |
2 |
32 |
1.1050% |
专业选修课程 Selective Professional Courses |
8（38） |
675 |
4.4199% |
毕业要求总合计 Totality for Graduation |
181 |
3416学时+33周 |
100% |
PART TEN. PROFESSIONAL CURRICULA AND CRDIT DISTRITION
课程类别 |
课程号/课程组 Course(group) No. |
课程名称 Course Name |
学 分 数 Credit |
总 学 时 Hours |
总学时 分配 Parts |
考核方式 Assessment |
开设学期 Terms |
备注 Remarks |
课内教学 Lecture |
实验教学 Lab |
实践教学 Practice |
通 识 教 育 必 修 课 程 |
sd02810360 |
毛泽东思想和中国特色社会主义理论体系概论 Introduction to Maoism and Particular China Socialism Theories |
6 |
96 |
64 |
32 |
|
|
1-6 |
|
sd02810380 |
思想道德修养与法律基础 Ideological and Moral Cultivation and the Legal Basis |
3 |
48 |
48 |
|
|
|
1-6 |
|
sd02810350 |
马克思主义基本原理概论 Introduction toBasic Principle of Marxism |
3 |
48 |
48 |
|
|
|
1-6 |
|
sd02810370 |
中国近现代史纲要 Brief of Modern China History |
2 |
32 |
32 |
|
|
|
1-6 |
|
00070 |
大学英语课程组 College English series |
8 |
240 |
128 |
|
|
|
1-2 |
课外112学时 Extra 112 hours |
sd02910630 |
体育（1） PhysicalEducational（1） |
1 |
32 |
32 |
|
|
|
1 |
|
sd02910640 |
体育（2） PhysicalEducational（2） |
1 |
32 |
32 |
|
|
|
2 |
|
sd02910650 |
体育（3） PhysicalEducational（3） |
1 |
32 |
32 |
|
|
|
3 |
|
sd02910660 |
体育（4） PhysicalEducational（4） |
1 |
32 |
32 |
|
|
|
4 |
|
sd01310010 |
计算思维 Computational Thinking |
2 |
32 |
32 |
|
|
|
1 |
|
sd06910010 |
军事理论 Military Theories |
2 |
32 |
32 |
|
|
|
1-2 |
|
sd09010010 |
形势与政策（1） Trend and Policy（1） |
0 |
16 |
16 |
|
|
|
1 |
|
sd09010020 |
形势与政策（2） Trend and Policy（2） |
0.5 |
16 |
16 |
|
|
|
2 |
|
sd09010030 |
形势与政策（3） Trend and Policy（3） |
0 |
16 |
16 |
|
|
|
3 |
|
sd09010040 |
形势与政策（4） Trend and Policy（4） |
0.5 |
16 |
16 |
|
|
|
4 |
|
sd09010050 |
形势与政策（5） Trend and Policy（5） |
0 |
16 |
16 |
|
|
|
5 |
|
sd09010060 |
形势与政策（6） Trend and Policy（6） |
0.5 |
16 |
16 |
|
|
|
6 |
|
sd09010070 |
形势与政策（7） Trend and Policy（7） |
0 |
16 |
16 |
|
|
|
7 |
|
sd09010080 |
形势与政策（8） Trend and Policy（8） |
0.5 |
16 |
16 |
|
|
|
8 |
|
小计 Subtotal |
32 |
784 |
640 |
32 |
|
|
|
课外112学时 Extra 112 hours |
通 识 教 育 核 心 课 程 |
00051 |
国学修养课程模块 Traditional Chinese Culture modules |
2 |
32 |
32 |
|
|
|
1-6 |
任选2学分 Any 2 Credits |
00053 |
艺术审美课程模块 Arts and Aesthetics modules |
2 |
32 |
32 |
|
|
|
1-6 |
任选2学分 Any 2 Credits |
00054(00056) |
人文学科（或自然科学）课程模块 Humanities (or Science) modules |
2 |
32 |
32 |
|
|
|
1-6 |
在伦理类课程中选2学分 |
00055(00057) |
社会科学（或工程技术）课程模块 Social Sciences (or Engineering and Technology) modules |
2 |
32 |
32 |
|
|
|
1-6 |
在经济、管理类课程中选2学分 |
00058 |
稷下创新讲堂 Ji-xia Innovation Lectures |
2 |
32 |
32 |
|
|
|
1-6 |
荣誉学分 Honors Credits |
00059 |
齐鲁创业讲堂 Qi-lu Entrepreneurship Lectures |
2 |
32 |
32 |
|
|
|
1-6 |
荣誉学分 Honors Credits |
小计 Subtotal |
12 |
192 |
192 |
|
|
|
|
|
通识 教育 选修 课程 |
00090 |
通识教育选修课程组 Selective General Education modules |
2 |
32 |
32 |
|
|
|
1-8 |
任选2学分 Any 2 Credits |
小计 Subtotal |
2 |
32 |
32 |
|
|
|
|
|
学 科 平 台 基 础 课 程 |
sd01732930, sd01732960, sd01722260 |
数学分析（I,II,III） Mathematical Analysis |
16 |
256 |
256 |
|
|
考试 |
1,2,3 |
控院开课、数学院授课 |
sd01732880 |
高等代数 Advanced Algebra |
4 |
64 |
64 |
|
|
考试 |
1 |
|
sd01732950 |
概率论与数理统计 Probability and Statistics |
4 |
64 |
64 |
|
|
考试 |
4 |
|
sd01732140 |
数字电子技术基础 Digital Electronic Technology |
3 |
48 |
48 |
|
|
考试 |
3 |
|
sd01732150 |
数字电子技术基础实验 Experiments in Digital Electronic Technology |
1 |
32 |
|
32 |
|
考查 |
3 |
|
Sd01732260 |
模拟电子技术基础 Analog Electronic Technology |
3 |
48 |
48 |
|
|
考试 |
4 |
|
Sd01732270 |
模拟电子技术基础实验 Experiments in Analog Electronic Technology |
1 |
32 |
|
32 |
|
考查 |
4 |
|
小计 Subtotal |
32 |
544 |
480 |
64 |
|
|
|
|
专 业 教育课 程 |
专 业 必修 课 程 |
|
自动化专业新生系列讲座 Lecture Series for Freshmen in Automation |
2 |
32 |
32 |
|
|
考查 |
1 |
|
sd01732910 |
常微分方程 Ordinary Differential Equation |
2 |
32 |
32 |
|
|
考试 |
3 |
|
sd01732920 |
复变函数与数理方程 Functions of Complex Variables and Equations of Mathematical Physics |
3 |
48 |
48 |
|
|
考试 |
3 |
|
sd01732990 |
随机过程 Stochastic Processes |
3 |
48 |
48 |
|
|
考试 |
5 |
|
sd01731830 |
运筹学 Operational Research |
2 |
32 |
32 |
|
|
考试 |
4 |
|
sd01732870 |
数学建模 Mathematical Modeling |
2 |
32 |
32 |
|
|
考试 |
4 |
控院开课、数学院授课 |
|
理论力学 Theoretical Mechanics |
3 |
48 |
48 |
|
|
考试 |
5/6 |
控院开课，土建授课，涉及工程热力学 |
sd01732810 、sd01732820 |
大学物理（I,II） College Physics（I,II） |
8 |
128 |
128 |
|
|
考试 |
2,3 |
|
Sd01020030 |
大学物理实验 Experiments in College Physics |
1 |
32 |
|
32 |
|
考查 |
2 |
|
sd01920570 |
电路 Circuitry |
5 |
96 |
64 |
32 |
|
考试 |
2 |
|
sd01920140 |
电磁场 Electromagnetic field |
2 |
32 |
32 |
|
|
考试 |
3 |
|
sd01620420 |
工程制图 Engineering Drawing |
3 |
48 |
48 |
|
|
考试 |
1 |
|
Sd01730710 |
机械工程基础 Mechanical Engineering Fundamentals |
2 |
35 |
29 |
6 |
|
考试 |
4 |
|
Sd01732290 |
自动控制原理I Automatic Control Theory I |
5 |
87 |
73 |
14 |
|
考试 |
5 |
|
Sd01732300 |
自动控制原理II Automatic Control Theory II |
3 |
52 |
44 |
8 |
|
考试 |
7 |
|
sd01721720 |
信号分析与处理 Signal Analysis and Processing |
3 |
52 |
44 |
8 |
|
考试 |
6 |
|
sd01731990 |
自动检测技术 Automatic Measuring Technology |
3 |
53 |
43 |
10 |
|
考试 |
5 |
|
sd01730330 |
电力电子技术 Power Electronic Technology |
3 |
53 |
43 |
10 |
|
考试 |
5 |
|
|
工厂供电 Factory Electricity Supply |
2 |
35 |
29 |
6 |
|
考试 |
6/7 |
|
sd01721430 sd01732280 |
微机原理与接口技术 Principle and Interface Technology of Microcomputer |
3 |
56 |
40 |
16 |
|
考试 |
4 |
|
sd01730310 |
电机与拖动 Electric Machinery and Electric Drives |
3 |
53 |
43 |
10 |
|
考试 |
5 |
|
sd01730800 |
计算机控制技术 Computer Control Technology |
2 |
37 |
27 |
10 |
|
考试 |
6 |
|
Sd01732310 |
运动控制系统 Motion Control Systems |
2 |
36 |
28 |
8 |
|
考试 |
6 |
增加交流调速 |
|
人工智能 Artificial Intelligence |
2 |
32 |
32 |
|
|
考试 |
6 |
|
小计 Subtotal |
69 |
1189 |
1019 |
170 |
|
|
|
|
专 业 选修 课 程 |
|
软件开发选修课组 Software Development optional course group |
8 |
167 |
89 |
6 |
72 |
|
|
见表三 （三个选修课组打通，要求学生从三个选修课组中最低选修8学分，最高选修16学分） |
|
智能系统选修课组 Intelligent System optional course group |
8 |
128 |
128 |
|
|
|
|
|
控制工程选修课组 Control Engineering optional course group |
22 |
380 |
324 |
56 |
|
|
|
小计 Subtotal |
(8)38 |
675 |
541 |
62 |
72 |
|
|
|
综合性实践教学 Comprehensive Practice |
sd06910020 |
军训 Martial Training |
0 |
3周 |
|
|
|
|
|
必设。新生提前入学集中进行，不记学分 |
sd07030260 |
工程训练 Engineering Training |
1 |
1周 |
|
|
|
|
2 |
|
sd01732830 |
自动化科技实践I Science and Technology Practice for Automation I |
1 |
1周 |
|
|
|
|
2 |
暑期学校期间进行 |
sd07030300 |
工程训练(电子) Engineering Training (electrical & electronics) |
1 |
1周 |
|
|
|
|
4 |
|
sd01732940 |
自动化科技实践II Science and Technology Practice for Automation II |
1 |
3周 |
|
|
|
|
4 |
暑期学校期间进行，完成后另加2个荣誉学分 |
sd01731140 |
生产实习 ProductionInternship |
3 |
3周 |
|
|
|
|
6 |
|
sd01733020 |
自动化科技实践III Science and Technology Practice for Automation III |
1 |
3周 |
|
|
|
|
6 |
暑期学校期间进行，完成后另加2个荣誉学分 |
sd01732370 |
单片机应用系统设计实践 Design Practice of Single Chip Microcomputer Application System |
1 |
1周 |
|
|
|
|
4 |
|
sd01730410 |
电子技术课程设计 Course Exercise in Electronic Technology |
1 |
1周 |
|
|
|
|
4 |
|
sd01732390 |
运动控制系统综合课程设计 Comprehensive Course Exercise of Motion Control System |
2 |
2周 |
|
|
|
|
7 |
|
sd01730190 |
毕业实习 Graduation Practice |
1 |
1周 |
|
|
|
|
8 |
|
sd01730170 |
毕业设计 Senior Thesis |
13 |
13周 |
|
|
|
|
8 |
|
小计 Subtotal |
26 |
33周 |
|
|
|
|
|
|
合计 Total |
181 |
3416 +33周 |
2904 |
328 |
72 |
|
|
大学英语课程组112个课外学时 |
|
|
|
|
|
|
|
|
|
|
|
|
|
自动化专业的专业选修课程设置及学时分配表[表三]
类 别 |
专业课组名称 |
课程号 |
课程名称 |
学 分 数 |
总 学 时 |
总学时分配 |
考核方式 |
开设学期 |
备注 |
授 课 |
实 验 |
上 机 |
专 业 选 修 课 组 |
软 件 开 发 选 修 课 题 组 |
|
WEB应用开发 WEB Application Development |
2 |
44 |
20 |
|
24 |
考查 |
7 |
|
|
嵌入式系统设计 Embedded System Design |
2 |
44 |
20 |
|
24 |
考查 |
5 |
|
|
Python语言与机器学习基础 Python Language and Machine Learning Fundamentals |
2 |
44 |
20 |
|
24 |
考查 |
7 |
|
sd01731320 |
数据库应用技术 SQL Server |
2 |
35 |
29 |
6 |
|
考查 |
7 |
|
小计 Subtotal |
8 |
167 |
89 |
6 |
72 |
|
|
|
智 能 系 统 选 修 课 题 组 |
|
机器人学 Robotics |
2 |
32 |
32 |
|
|
考查 |
7 |
|
|
模式识别与智能系统基础 Pattern Recognition and Intelligent System Fundamentals |
2 |
32 |
32 |
|
|
考查 |
7 |
|
|
智能控制技术及应用 Intelligent Control Technology and Application |
2 |
32 |
32 |
|
|
考查 |
7 |
|
|
图像处理与机器视觉 Image Processing and Machine Vision |
2 |
32 |
32 |
|
|
考查 |
7 |
|
小计 Subtotal |
8 |
128 |
128 |
|
|
|
|
|
控 制 工 程 选 修 课 组 |
sd01732160 |
单片机应用技术基础 Single Chip Microcomputer Application Technology Fundamentals |
2 |
38 |
26 |
12 |
|
考查 |
2-3 |
2、3学期滚动开设 |
|
科学研究方法导论 Introduction to Scientific Research Methodology |
2 |
32 |
32 |
|
|
考查 |
6 |
顶峰体验课程 |
sd01730100 |
PLC应用技术 Applications of Programmable Logic Controllers |
2 |
37 |
27 |
10 |
|
考查 |
7 |
|
sd01731400 |
通信原理 Principles of Communications |
2 |
32 |
32 |
|
|
考查 |
7 |
|
sd01731410 |
网络控制技术 Network Control Systems |
2 |
34 |
30 |
4 |
|
考查 |
7 |
|
sd01730730 |
集散控制系统 Distributed Control Systems |
2 |
37 |
27 |
10 |
|
考查 |
7 |
|
sd01730910 |
可再生能源发电技术 Renewable energy generation technology |
2 |
32 |
32 |
|
|
考查 |
7 |
|
sd01730380 |
电气控制系统设计 Design of Electrical Control Systems |
2 |
34 |
30 |
4 |
|
考查 |
7 |
|
sd01731570 |
现代电力电子技术 Modern Power Electronic Technology |
2 |
35 |
29 |
6 |
|
考查 |
7 |
|
sd01732320 |
过程控制系统 Process Control System |
2 |
35 |
29 |
6 |
|
考查 |
6 |
|
sd01730530 |
分数阶微积分及应用 Fractional Calculus and its Applications |
2 |
32 |
32 |
|
|
考查 |
7 |
|
小计 Subtotal Subtotal |
22 |
378 |
326 |
52 |
|
|
|
|
PART ELEVEN. MAIN COURSES AND RELATED COMPETENCIES AND ATTRIBUT
课程名称 |
1 工程 知识 |
2 问题分析 |
3 设计/开发解决方案 |
4 研究 |
5 使用现代工具 |
6 工程与社会 |
7 环境和可持续发展 |
8 职业规范 |
9 个人和团体 |
10 沟通 |
11 项目管理 |
12 终身学习 |
数学分析（I,II,III） Mathematical Analysis |
√ |
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√ |
高等代数 Advanced Algebra |
√ |
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概率论与数理统计 Probability and Statistics |
√ |
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数字电子技术基础 Digital Electronic Technology |
√ |
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√ |
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数字电子技术基础实验 Experiments in Digital Electronic Technology |
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√ |
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模拟电子技术基础 Analog Electronic Technology |
√ |
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√ |
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模拟电子技术基础实验 Experiments in Analog Electronic Technology |
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√ |
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自动化专业新生系列讲座 Lecture Series for Freshmen in Automation |
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√ |
√ |
√ |
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常微分方程 Ordinary Differential Equation |
√ |
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复变函数与数理方程 Functions of Complex Variables and Equations of Mathematical Physics |
√ |
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随机过程 Stochastic Processes |
√ |
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运筹学 Operational Research |
√ |
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√ |
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数学建模 Mathematical Modeling |
√ |
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理论力学 Theoretical Mechanics |
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大学物理（I,II） College Physics（I,II） |
√ |
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√ |
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大学物理实验 Experiments in College Physics |
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√ |
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电路 Circuitry |
√ |
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√ |
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电磁场 Electromagnetic field |
√ |
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√ |
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工程制图 Engineering Drawing |
√ |
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√ |
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机械工程基础 Mechanical Engineering Fundamentals |
√ |
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自动控制原理I Automatic Control Theory I |
√ |
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√ |
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√ |
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自动控制原理II Automatic Control Theory II |
√ |
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√ |
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√ |
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信号分析与处理 Signal Analysis and Processing |
√ |
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√ |
自动检测技术 Automatic Measuring Technology |
√ |
√ |
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√ |
√ |
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电力电子技术 Power Electronic Technology |
√ |
√ |
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√ |
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工厂供电 Factory Electricity Supply |
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√ |
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√ |
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微机原理与接口技术 Principle and Interface Technology of Microcomputer |
√ |
√ |
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√ |
电机与拖动 Electric Machinery and Electric Drives |
√ |
√ |
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√ |
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计算机控制技术 Computer Control Technology |
√ |
√ |
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√ |
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运动控制系统 Motion Control Systems |
√ |
√ |
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人工智能 Artificial Intelligence |
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√ |
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工程训练 Engineering Training |
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√ |
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√ |
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自动化科技实践I Science and Technology Practice for Automation I |
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√ |
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工程训练(电子) Engineering Training (electrical & electronics) |
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√ |
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√ |
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自动化科技实践II Science and Technology Practice for Automation II |
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√ |
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生产实习 ProductionInternship |
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√ |
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√ |
√ |
√ |
√ |
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自动化科技实践III Science and Technology Practice for Automation III |
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√ |
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单片机应用系统设计实践 Design Practice of Single Chip Microcomputer Application System |
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√ |
√ |
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电子技术课程设计 Course Exercise in Electronic Technology |
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√ |
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√ |
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运动控制系统综合课程设计 Comprehensive Course Exercise of Motion Control System |
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√ |
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√ |
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√ |
毕业实习 Graduation Practice |
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√ |
√ |
√ |
√ |
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√ |
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√ |
毕业设计 Senior Thesis |
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√ |
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√ |
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√ |
√ |
√ |
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√ |
PART TWELVE. COLLEGE ENGLISH SERIES AND CREDIT DISTRIBUTION
类 别 Category |
课组号 Group No. |
课程号 Course No. |
课程名称 Course Name |
学 分 数 Credit |
总 学 时 Hours |
总学时分配 Parts |
开设学期 Terms |
备注 Remark |
课内教学 Lecture |
实践教学 Practice |
大 学 英 语 课 组 College English series |
00070 |
sd03110010 |
大学基础英语(1) College English Basics (1) |
4 |
120 |
64 |
|
1 |
新生根据入学英语分级考试结果，分别选修相应课程 Freshmen to be allocated according to their entrance examination scores |
sd03110020 |
大学基础英语(2) College English Basics (2) |
4 |
120 |
64 |
|
2 |
sd03110030 |
大学综合英语(1) Comprehensive College English(1) |
4 |
120 |
64 |
|
1 |
sd03110040 |
大学综合英语(2) Comprehensive College English(2) |
4 |
120 |
64 |
|
2 |
sd03110050 |
通用学术英语(1) Academic Common English (1) |
4 |
120 |
64 |
|
1 |
sd03110060 |
通用学术英语(2) Academic Common English (2) |
4 |
120 |
64 |
|
2 |
应修小计 Required Subtotal |
8 |
240 |
128 |
|
|
自主学习112学时 Self-study 112 hours |
