自动化
Automation
一、专业基本信息
I. Basic information
类型（Type）：完全学分制
院系（Department）： 电子信息工程学院Electrical &Information Engineering 专业（Major）： 自动化Automation
总学分（Total Credits）：168
学科门类（Field of Study）：工学Technology
专业类（Specialized Classification）： 自动化类Automatic 专业代码（Major Code）：080801
授予学位（Degree）：工学学士Bachelor of Engineering 学制（Years of Study）：四年Four years
主干学科（Primary Discipline）：控制科学与工程Control Science and Engineering
相关学科（Related Discipline）：电气工程Electrical Engineering , 信息与通信工程Information and Communication Engineering , 计算机科学与技术Computer Science and Technology
大类名称（Specialty）：光学与电子信息类 专业概况（Introduction ofMajor）：
西安工业大学自动化专业起源于1978年工业电气自动化，1998年更名为自动化，2006年获陕西 省名牌专业，2010年被评为国家级特色专业，2014年成为首批教育部卓越工程师教育培养专业，同 年获陕西省专业综合改革试点专业，2017年被评为国防特色专业及陕西省一流专业，2019年通过中 国工程教育专业认证。本专业依托“控制科学与工程 ”一级硕士学位授权学科，为陕西省优势学科、 国家国防特色学科，2011年建成“新型网络与检测控制国家地方联合工程实验室 ”，2016年成立了 “ 陕西省自主控制系统与智能控制国际联合研究中心 ”。本专业主要学习电子技术、 电工技术、计 算机技术、 自动控制、信息处理、系统工程等方面的基本知识和技术，进行自动化系统的分析、设 计、开发与研究，实现对工业生产过程、装置和系统的智能控制。围绕“厚基础、宽口径、重实践、 强能力 ”的教学理念，坚持“ 以学生为中心，以能力为导向 ”，以培养“ 自动化系统工程师 ”为目 标，加强学生在工业过程控制、运动控制、信息处理等领域的理论、方法与技术方面教学与训练， 构建了“控制系统建模与分析-控制理论及应用-信息检测与处理-系统设计与集成 ”知识链为主线的 课程体系和“基本工程意识、基础实践能力-知识交叉融合、综合实验设计-创新实践能力、智能优
化设计-科研素质培养、工程项目训练 ”递进式的实践教学体系，形成了“突出系统观念，强化工程 实践，激发创新意识 ”的专业培养特色。
The Automation major at Xi'an Technological University originated from Industrial Electrical Automation in 1978. It was renamed Automation in 1998 and was awarded the Shaanxi Province Famous Brand Major in 2006. In 2010, it was recognized as a national level characteristic major. In 2014, it became one of the first outstanding engineering education and training majors by the Ministry of Education. In the same year, it was awarded the Shaanxi Province Comprehensive Reform Pilot Major. In 2017, it was recognized as a national defense characteristic major and a first-class major in Shaanxi Province. In 2019, it passed the China Engineering Education Professional Certification. This major relies on the first level master's degree authorization discipline of "Control Science and Engineering", which is an advantageous discipline in Shaanxi Province and a national defense characteristic discipline. In 2011, the "New Network and Detection Control National Local Joint Engineering Laboratory" was established, and in 2016, the "Shaanxi Province Independent Control System and Intelligent Control International Joint Research Center" was established. This major mainly studies the basic knowledge and technology of electronic technology, electrical technology, computer technology, automatic control, information processing, system engineering, etc., and conducts analysis, design, development, and research of automation systems to achieve intelligent control of industrial production processes, devices, and systems. Based on the teaching philosophy of "thick foundation, wide caliber, emphasis on practice, and strong ability", we adhere to the principle of "student-centered, ability oriented", and aim to cultivate "automation system engineers". We strengthen the teaching and training of students in the fields of industrial process control, motion control, information processing, and other theoretical, methodological, and technical aspects. We have constructed a curriculum system with "control system modeling and analysis - control theory and application - information detection and processing - system design and integration" as the main line, and a progressive practical teaching system with "basic engineering awareness, basic practical ability - knowledge cross integration, comprehensive experimental design - innovative practical ability, intelligent optimization design - scientific research quality cultivation, and engineering project training" as the main line. We have formed a "prominent system concept, strengthened engineering practice, The professional training feature of" stimulating innovative consciousness ".
二、培养目标
II.Educational Objectives
本专业面向国防工业和区域社会经济发展需求，培养德智体美劳全面发展，掌握必备的数学与 自然科学基础知识和自动化领域相关基础理论、基本方法和基本技能，能够在工业过程控制、运动 控制、模式识别及智能信息处理、人工智能应用、 电子信息技术等相关领域从事科学研究、产品研 发、工程设计与应用开发、系统运维与管理等工作，具有良好的社会、环境意识和国际视野，较强
的学习、思维和管理协调能力，扎实的工程实践、创新和解决复杂工程问题能力的高素质人才。 学生毕业5年左右能够达到：
1 ．具备职业道德和人文、科学素养，坚守职业规范，具有服务社会的能力。（人文素养）
2．具备工程创新能力，能够跟踪自动化及相关领域的前沿技术，运用现代工具和专业知识分析、 解决复杂工程问题。（专业知识及应用能力）
3 ．具有可持续发展的意识，能够在组织和实施工程项目过程中综合考虑社会、安全、经济、环 境、法律等因素；（可持续发展）
4．具有团队合作能力，具备一定的国际视野，能够与国内外同行、专业客户等进行沟通和交流。 （团队沟通）
5 ．具有终身学习能力，能够通过继续教育或其他学习渠道不断更新知识，适应社会发展和行业 竞争。（终身学习）
I. Educational Objectives
This major is geared to the needs of national defense industry and regional social and economic development, to master the necessary basic knowledge of mathematics and natural sciences and basic theories, basic methods and basic skills related to the field of automation, can be engaged in scientific research, product R & D, Engineering Design and application development, system operation and management in industrial process control, motion control, pattern recognition and intelligent information processing, artificial intelligence application, electronic information technology, etc. , with good social and environmental awareness and international vision, strong learning, thinking and management coordination ability, solid engineering practice, innovation and solve complex engineering problems of high-quality personnel.
Five years after graduation, the graduates should have the following five abilities:
1. Having the professional ethicsand humanistic and scientific literacy, adhering to professional norms, and having the ability to serve the society.（Humanistic Quality）
2. Having the ability of engineering innovation, being able to track the frontier technology in automation and related fields, and use the modern tools and professional knowledge to analyze and solve complex engineering problems.（Professional Knowledge and Application Ability）
3. Having the sense of sustainable development, and be able to comprehensively consider social, safety, economic, environmental, legal and other factors in the process of organizing and implementing engineering projects.（Sustainable Development）
4. Having the ability of teamwork, certain international vision,and the ability to communicate withdomestic and foreign peers, professional customers, etc.（Team Communication）
5. Having the ability of lifelong learning, being able to constantly update knowledge through continuing education or other learning channels, and adapt to social development and industry competition.
（Life-long Learning）
三、毕业要求
III.Program Outcomes
毕业要求 0. 思想品德：具有坚定正确的政治方向，热爱祖国，热爱人民，拥护中国共产党的 领导；具有正确的世界观、人生观、价值观，具有良好的思想品德、健全的人格、健康的体魄，践 行社会主义核心价值观。
指标点 0.1 具有坚定正确的政治方向，热爱祖国，热爱人民，拥护中国共产党的领导。
指标点 0.2 具备正确的世界观、人生观、价值观，树立和践行社会主义核心价值观，具有良好 的思想品德、健全的人格、健康的体魄。
毕业要求 1. 工程知识：能够将数学、 自然科学、相关工程基础和专业知识用于解决自动化领 域的复杂工程问题。
指标点 1.1 掌握数学、物理、概率论等基础知识及理论，能够运用物理语言和数学方法准确而 有条理地表达自己思维过程、分析并求解问题。
指标点 1.2 掌握电工电子学、传感器检测、信号分析等专业基础知识，能够用于控制工程问题 的基本电路设计、信号获取与分析。
指标点 1.3 能够将数学方法与控制工程基础知识相结合，用于典型控制工程问题的分析和求解。
指标点 1.4 掌握过程控制、运动控制或信息处理中任一领域基础知识及理论，并能用于相应领 域复杂控制工程问题的分析和求解。
毕业要求 2 . 问题分析：能够应用数学、 自然科学和自动化科学的基本原理，识别、表达、并 通过文献研究分析自动化领域的复杂工程问题，以获得有效结论。
指标点 2.1 能基于电子、控制基本原理和控制系统数学模型，正确表达自动化领域的复杂工程 问题。
指标点 2.2 能运用数学、物理、控制理论，识别和判断自动化领域的复杂工程问题的主要环节。
指标点 2.3 能认识到解决复杂控制系统工程问题有多种可选方案，会通过文献的获取与分析寻 求可替代的解决方案。
指标点 2.4 针对自动化领域的特定复杂工程问题，能够运用控制工程系统化研究方法，分析影 响控制系统性能的因素，获得有效结论。
毕业要求 3. 设计/开发解决方案：能够设计针对自动化领域复杂工程问题的解决方案，设计满 足特定需求的系统和部件，并能够在设计环节中体现创新意识，考虑社会、健康、安全、法律、文 化以及环境等因素。
指标点 3.1 针对自动化领域复杂工程问题，能够分析和提炼影响解决方案的关键因素和约束条 件，并确定设计目标。
指标点 3.2 能够针对特定控制需求，能分析其关键环节和参数设置的影响作用，完成相关单元 设计。
指标点 3.3 能对特定需求的控制系统，设计相应的硬件和软件，并在设计中体现创新性。
指标点 3.4 能运用专业知识并结合社会、健康、安全、法律、文化以及环境等因素对解决方案 进行分析和评价。
毕业要求 4. 研究：能够基于科学原理并采用科学方法对自动化领域的复杂工程问题进行研究， 包括设计实验、分析与解释数据、并通过信息综合得到合理有效的结论。
指标点 4.1 掌握常用器件的性能测试分析方法，理解其应用。
指标点 4.2 能够基于专业理论知识，针对特定控制工程需求，设计可行性实验方案。 指标点 4.3 能够根据实验方案构建实验系统，安全地开展实验并正确采集实验数据。
指标点 4.4 能够选用或搭建实验装置，安全开展实验，并能够对实验结果进行分析和解释，通 过信息综合得到合理有效的结论。
毕业要求 5. 使用现代工具：能够针对自动化领域的复杂工程问题，开发、选择与使用恰当的 技术、资源、现代工程工具和信息技术工具，包括对自动化领域复杂工程问题的分析、建模与仿真， 并理解其局限性。
指标点 5.1 了解自动化专业常用的现代仪器、信息技术工具和工程工具的使用原理和方法，能 够开发、选择、使用恰当的仪器、工程工具对自动化领域的复杂工程问题进行分析、设计和验证， 并理解其局限性。
指标点 5.2 能够应用自动化专业常用的数据分析工具和信息技术工具，如 MATLAB等模拟软 件，对控制系统复杂工程问题进行建模、仿真、分析，并理解其局限性。
毕业要求 6. 工程与社会：能够基于自动化相关工程背景知识进行合理分析，评价自动化工程 实践和复杂工程问题解决方案对社会、健康、安全、法律以及文化的影响，并理解应承担的责任。
指标点 6.1 了解自动化领域的技术标准体系、知识产权、产业政策和法律法规，理解不同社会 文化对控制工程活动的影响。
指标点 6.2 能分析和评价自动化专业工程实践对社会、健康、安全、法律、文化的影响，以及 这些制约因素对复杂控制系统工程项目实施的影响，并理解应承担的责任。
毕业要求 7. 环境和可持续发展：能够理解和评价针对自动化领域复杂工程问题的工程实践对 环境、社会可持续发展的影响。
指标点 7.1 知晓和理解可持续发展和环境保护的理念和内涵，理解有利于环境、社会可持续发 展的自动控制系统工程发展方向，理解可持续发展和环境保护在自动化工程实践中的重要性。
指标点 7.2 能针对自动化领域复杂工程问题，评价其资源利用效率、污染物/废弃物处置方案和 安全防范措施，评价自动化产品周期中可能对人类和环境造成的影响。
毕业要求 8. 职业规范：具有人文社会科学素养、社会责任感，能够在自动化工程实践中理解 并遵守职业道德和规范，履行责任。
指标点 8.1 具有人文社会科学素养，理解诚实公正、诚信守则的工程职业道德和自动化领域的 工程规范，并在工程实践中自觉遵守。
指标点 8.2 理解自动化专业工程师对公众的安全、健康和福祉，以及环境保护的社会责任，并 在工程实践中自觉履行责任。
毕业要求 9. 个人与团队：能够在多学科背景下的团队中，承担个体、团队成员以及负责人的 角色。
指标点 9.1 能够理解和担任多学科背景下的团队中个体、团队成员以及负责人的角色，与其他 成员有效沟通，合作共事。
指标点 9.2 能够在团队中独立或合作开展工作，具有组织、协调和指挥团队开展工作的能力。
毕业要求 10. 沟通：能够就自动化领域中复杂的控制系统工程问题与业界同行及社会公众进行 有效沟通和交流，包括：撰写报告和设计文稿、陈述发言、清晰表达或回应指令。具有一定的国际 视野，能够在跨文化背景下进行有效地沟通和交流。
指标点 10.1 了解自动化相关领域的国内外发展现状、趋势及研究热点，能够通过口头或书面 方式就复杂的控制系统工程问题准确表达自己的观点，回应质疑。
指标点 10.2 至少掌握一门外语，能够通过阅读国内外技术文献、参加学术讲座等环节，理解 不同文化、技术行为之间的差异，能够在跨文化背景下进行沟通和交流。
毕业要求 11. 项目管理：理解并掌握工程管理原理和经济决策方法，能够在多学科环境中应用。
指标点 11.1 认识和理解工程管理原理并在工程实践环节中进行应用，掌握一定的经济与管理 知识。
指标点 11.2 在控制系统设计开发解决方案的过程中，能够考虑经济因素并合理运用工程管理 与经济决策方法。
毕业要求 12. 终身学习：具有自主学习和终身学习的意识，有不断学习和适应未来自动化领域 等相关技术发展的能力。
指标点 12.1 在社会发展的大背景下，对本专业的当前国际前沿与产业状况有基本了解，掌握 自主学习的方法，了解拓展知识和能力的途径。
指标点 12.2 面对复杂控制系统工程问题，具有提出问题、理解关键技术和归纳重现的自主学 习能力。
0. Ideological and moral character: Have a firm and correct political direction, love the motherland, love the people and support the leadership of the Communist Party of China; Have a correct world outlook, outlook on life, values, good moral character, sound personality, healthy physique, and practice the socialist core values.
0. 1 have a firm and correct political direction, love the motherland, love the people, and support the leadership ofthe Communist Party of China.
0.2 Have a correct world outlook, outlook on life and values, and establish and practice socialist core values ，have a goog idological and moral character, sound personality, healthy body.
1. Engineering knowledge: Ability to apply mathematics, science, related engineering fundamentals and expertise to solve complex engineering problems in the field of automation.
1. 1 Master mathematics, physics, probability theory and other basic knowledge and theories, and be able to use physical language and mathematical methods to accurately and systematically express their thinking process, analyze and solve problems;
1.2 Master the professional basic knowledge of electricians and electronics, sensor detection, signal analysis, etc., and be able to apply to the basic circuit design, signal acquisition and analysis of control engineering problems;
1.3 can combine mathematical methods with basic knowledge of control engineering to analyze and solve typical control engineering problems.
1.4 Master the basic knowledge and theories in any field of process control, motion control or information processing, and be able to apply to the analysis and solution of complex control engineering problems in the corresponding field.
2. Problem analysis: Able to apply basic principles of mathematics, natural science and automation science to identify, express, and analyze complex engineering problems in the field of automation through literature research to reach effective conclusions.
2. 1 Can correctly express complex engineering problems in the field of automation based on the basic principles of electronics and control and the mathematical model of control system;
2.2 Ability to use mathematics, physics, and control theory to identify and judge the major components of complex engineering problems in automation.
2.3 can recognize that there are many alternative solutions to solve complex control system engineering problems, and seek alternative solutions through the acquisition and analysis of literature;
2.4 For specific complex engineering problems in the field of automation, the control engineering systematic research method can be used to analyze the factors affecting the performance of the control system, and effective conclusions can be obtained.
3. Design/Development of solutions: Ability to design solutions to complex engineering problems in automation, systems and components that meet specific needs, and to reflect innovation in the design process, taking into account social, health, safety, legal, cultural, and environmental factors.
3. 1 For complex engineering problems in the field of automation, it can analyze and refine the key factors and constraints affecting the solution, and determine the design objectives;
3.2 can analyze the influence of key links and parameter Settings for specific control requirements, and complete the relevant unit design;
3.3 Can design the corresponding hardware and software for the control system with specific requirements, and reflect the innovation in the design;
3.4 analyzes and evaluates solutions using professional knowledge combined with social, health, safety, legal, cultural, and environmental factors.
4. Research: Based on scientific principles and scientific methods, we can study complex engineering problems in automation field, including designing experiments, analyzing and interpreting data, and obtaining reasonable and effective conclusions through information synthesis.
4. 1 Master the performance test and analysis methods of common devices and understand their applications;
4.2 Be able to design feasible experimental plans based on professional theoretical knowledge and specific control engineering requirements;
4.3 Can construct the experimental system according to the experimental scheme, carry out the experiment safely and collect the experimental data correctly;
4.4 Can select or build experimental devices, carry out experiments safely, analyze and interpret experimental results, and obtain reasonable and effective conclusions through information synthesis.
5. Use modern tools: To develop, select and use appropriate technologies, resources, modern engineering tools and information technology tools for complex engineering problems in automation field, including analysis, modeling and simulation of complex engineering problems in automation field, and understand their limitations.
5. 1 Understand the principles and methods of using modern instruments, information technology tools, engineering tools and simulation software commonly used by automation professionals, and understand their limitations;
5.2 Be able to select, use or develop appropriate instruments, information resources, engineering tools and MATLAB, Keil and other simulation software to analyze, calculate and design related problems of control system design, development and application ，and have the ability to develop or select modern tools to meet the needs of specific control objects, simulation and predictive control problems.
6. Engineering and society: Based on the background knowledge of automation related engineering, we can make reasonable analysis, evaluate the impact of automation engineering practice and complex engineering problem solutions on society, health, safety, law and culture, and understand the responsibilities.
6. 1 Understand the technical standard system, intellectual property rights, industrial policies, laws and regulations in the field of automation, and understand the influence of different social cultures on control engineering activities.
6.2 analyzes and evaluates the social, health, safety, legal, and cultural impacts of automation professional engineering practices, and the impact of these constraints on the implementation of complex control systems engineering projects, and understands the responsibilities to be assumed.
7. Environment and sustainable development: be able to understand and evaluate the impact of engineering practice aiming at complex engineering problems in automation field on the sustainable development of environment and society.
7. 1 Know and understand the concept and connotation of sustainable development and environmental protection, understand the development direction of automatic control system engineering that is conducive to the sustainable development of environment and society, and understand the importance of sustainable development and environmental protection in automation engineering practice;
7.2 can evaluate the resource utilization efficiency, pollutant/waste disposal scheme and safety precautions for complex engineering problems in the field of automation, as well as the possible human and environmental impacts during the automation product cycle.
8. Professional norms: having humanistic and social science literacy and social responsibility, being able to understand and abide by engineering professional ethics and norms in automation engineering practice, and fulfilling responsibilities.
8. 1 Have a correct outlook on life and values, humanistic knowledge, critical thinking ability and scientific spirit, understand the relationship between individuals and the country, individuals and society, understand and practice the core socialist values, understand the history and current national conditions of the Chinese nation, and have the sense of responsibility to promote national rejuvenation and social
progress;
8.2 Understand the social responsibility of automation professional engineers to the safety, health and well-being of the public, and environmental protection, and consciously fulfill that responsibility in engineering practice.
9. Individuals and teams: They have the spirit of cooperation and team consciousness, can serve as leaders or ordinary members in teams under multidisciplinary background, and can complete tasks undertaken by individuals in teams.
9. 1 Ability to actively communicate and collaborate with members of other disciplines in a multidisciplinary team;
9.2 Be able to independently complete the work assigned by the team, and be competent for the roles and responsibilities of team members. Have certain organization and management ability to organize, coordinate and manage team activities.
10. Communication: Be able to effectively communicate and communicate with industry peers and the public on complex engineering problems in automation field, including writing reports and design manuscripts, making statements, expressing clearly or responding to instructions. And has a certain international perspective, and can communicate and exchange under the cross-cultural background.
10. 1 Ability to accurately express their views on complex control systems engineering issues, both orally and in writing, and to respond to queries;
10.2 Master at least one foreign language, be able to understand the differences between different cultures and technical behaviors through reading domestic and foreign technical literature and attending academic lectures, and be able to communicate and communicate in a cross-cultural context.
11. Project management: Understand and master the engineering management principles and economic decision-making methods required in the automation field, and be able to apply them in
multidisciplinary environments.
11. 1 Know and understand engineering management principles and apply them in engineering practice. Grasp certain economic and management knowledge, be able to consider economic factors in automation scientific research and engineering development, and show certain management ability.
11.2 Project management and economic decision-making methods can be reasonably used in the process of control system design and development solution.
12. Lifelong learning: Have the ability of autonomous learning, understand the importance of lifelong learning in the field of automation and the future development process, and have the awareness of continuous learning based on the needs of career development.
12. 1 In the context of social development, have a basic understanding of the current international frontier and industrial situation of the major, master the methods of independent learning, and understand the ways to expand knowledge and ability;
12.2 In the face of complex control system engineering problems, he/she has the autonomous learning ability to propose problems, understand key technologies, and summarize and reproduce them.
四、毕业条件及学位授予要求
IV.Graduation Requirements and Degree Awarding Requirements
在修业年限内修完本专业规定课程，获得的总学分不低于152+X学分、第二课堂学分不低于7学 分（须通过《Python语言程序设计》课程考核获得1学分），且通过《国家学生体质健康标准》的合 格测试，方可准予毕业。
注：X 学分包含通识选修课程、专业选修课程、自选课程，根据个人职业发展意愿，修读 16-20 学分。其中，通识选修课程应至少修读各模块要求的最低学分（不少于 7 学分）。达到毕业要求， 且符合《西安工业大学学士学位授予工作细则》，授予工学学士学位。
Only after completing the required courses in the length of study, and obtaining the total credits of no less than 152+X and the second classroom credits of no less than 7, passing the qualification test of "National Student Physical Health Standard" and the examination of " Python language programming " course, can be allowed to graduate.
Note: X credits include general elective courses, professional elective courses, and elective courses. Depending on personal career development preferences, students can take 16-20 credits. Among them, elective courses in general education should take at least the minimum required credits for each module (not less than 7 credits). Upon meeting the graduation requirements and complying with the "Regulations on the Awarding of Bachelor's Degree at Xi'an Technological University", a Bachelor of Engineering degree will be awarded.
五、课程体系
V.Curriculum System
分类 Cour se Cate gory |
课程代 码 Course Code |
课程名称 Course Name |
学分 Credit |
总学 时 Total Sem ester Hour |
周 数 Tot al We eks |
理论 学时 Sem ester Hour of Theo ry Cour se |
实验 学时 Sem ester Hour of Expe rime nt |
上机 学时 Sem ester Hour of Prog ram |
其他 学时 Rest Sem ester Hour |
建议修读 学期 Recomme ndation of Study Semester |
是否必 修 Require d course |
考核方 式 Evaluat ion Method s |
是否核 心课 Require d or Electiv e Course |
备注 Remarks |
通识教育 |
通识必修 |
180001 |
1 思想道德与法治 Morality and the Rule of Law |
3 |
48 |
|
40 |
8 |
|
|
1 |
是 |
考查 |
否 |
|
180006 |
2 形势与政策-1 Current Affair and Policy I |
0 |
8 |
|
8 |
|
|
|
1 |
是 |
考查 |
否 |
|
230006 |
3 大学生职业生涯规划 Career Planning of College Students |
0.5 |
20 |
|
20 |
|
|
|
1 |
是 |
考查 |
否 |
|
230018 |
4 计算思维与人工智能 基础（工） Computational Thinking and Artificial Intelligence Fundamentals (Engineering) |
1 |
32 |
|
24 |
|
8 |
|
1 |
是 |
考试 |
否 |
|
230023 |
5 Python语言程序设计 Python language programming |
0 |
32 |
|
|
|
|
32 |
1 |
是 |
考查 |
否 |
|
230026 |
6 军事理论 Military Theory |
2 |
36 |
|
36 |
|
|
|
1 |
是 |
考查 |
否 |
|
230062 |
7 现代工程导论 Introduction to Modern Engineering |
0.25 |
8 |
|
8 |
|
|
|
1 |
是 |
考查 |
否 |
|
230065 |
8 工程伦理与安全 Engineering Ethics and Safety |
0.25 |
8 |
|
8 |
|
|
|
1 |
是 |
考查 |
否 |
|
230066 |
9 大学英语 Ⅰ College English Ⅰ |
2 |
64 |
|
64 |
|
|
|
1 |
是 |
考试 |
否 |
|
180007 |
10 形势与政策-2 Current Affair and Policy II |
0 |
8 |
|
8 |
|
|
|
2 |
是 |
考查 |
否 |
|
230063 |
11 数字化思维与技术 基础（理工） Fundamentals of Digital Literacy（STEM） |
0.25 |
8 |
|
8 |
|
|
|
2 |
是 |
考查 |
否 |
|
230067 |
12 大学英语Ⅱ College English Ⅱ |
2 |
64 |
|
64 |
|
|
|
2 |
是 |
考试 |
否 |
|
550002 |
13 大学生心理健康 教育 Mental Health Education for College Students |
2 |
32 |
|
32 |
|
|
|
2 |
是 |
考查 |
否 |
|
9811 |
14 中国近现代史纲要 Outline of China's Modern History |
3 |
48 |
|
40 |
8 |
|
|
2 |
是 |
考试 |
否 |
|
050177 |
15 创新创业学 Innovation and |
1 |
32 |
|
32 |
|
|
|
3 |
是 |
考查 |
否 |
|
分类 Cour se Cate gory |
课程代 码 Course Code |
课程名称 Course Name |
学分 Credit |
总学 时 Total Sem ester Hour |
周 数 Tot al We eks |
理论 学时 Sem ester Hour of Theo ry Cour se |
实验 学时 Sem ester Hour of Expe rime nt |
上机 学时 Sem ester Hour of Prog ram |
其他 学时 Rest Sem ester Hour |
建议修读 学期 Recomme ndation of Study Semester |
是否必 修 Require d course |
考核方 式 Evaluat ion Method s |
是否核 心课 Require d or Electiv e Course |
备注 Remarks |
|
|
|
Entrepreneurship |
|
|
|
|
|
|
|
|
|
|
|
|
180008 |
16 形势与政策-3 Current Affair and Policy III |
0 |
8 |
|
8 |
|
|
|
3 |
是 |
考查 |
否 |
|
4983 |
17 马克思主义基本 原理 The Basic Principles of Marxism |
3 |
48 |
|
40 |
8 |
|
|
3 |
是 |
考试 |
否 |
|
020121 |
18 工程经济与项目 管理 Engineering Economics and Project Management |
0.5 |
16 |
|
16 |
|
|
|
4 |
是 |
考查 |
否 |
|
180003 |
19 毛泽东思想和中国 特色社会主义理论体 系概论 Introduction ofMao Zedong Thought and Theory System of Socialism with Chinese Characteristics |
3 |
48 |
|
40 |
8 |
|
|
4 |
是 |
考试 |
否 |
|
180009 |
20 形势与政策-4 Current Affair and Policy IV |
0 |
8 |
|
8 |
|
|
|
4 |
是 |
考查 |
否 |
|
050178 |
21 企业（军工）管理 Enterprise (Military Industry) Management |
0.75 |
24 |
|
24 |
|
|
|
5 |
是 |
考查 |
否 |
|
180004 |
22 习近平新时代中国 特色社会主义思想 概论 Introduction ofXi Jinping Thought on Socialism with Chinese Characteristics for a New Era |
3 |
48 |
|
40 |
8 |
|
|
5 |
是 |
考试 |
否 |
|
180010 |
23 形势与政策-5 Current Affair and Policy V |
0 |
8 |
|
8 |
|
|
|
5 |
是 |
考查 |
否 |
|
180011 |
24 形势与政策-6 Current Affair and Policy VI |
0 |
8 |
|
8 |
|
|
|
6 |
是 |
考查 |
否 |
|
230007 |
25 大学生就业指导 Employment Guidance for College Students |
0.5 |
18 |
|
18 |
|
|
|
6 |
是 |
考查 |
否 |
|
180012 |
26 形势与政策-7 Current Affair and Policy VII |
0 |
8 |
|
8 |
|
|
|
7 |
是 |
考查 |
否 |
|
180005 |
27 形势与政策 Current Affair and Policy |
2 |
0 |
|
|
|
|
|
8 |
是 |
考查 |
否 |
|
分类 Cour se Cate gory |
课程代 码 Course Code |
课程名称 Course Name |
学分 Credit |
总学 时 Total Sem ester Hour |
周 数 Tot al We eks |
理论 学时 Sem ester Hour of Theo ry Cour se |
实验 学时 Sem ester Hour of Expe rime nt |
上机 学时 Sem ester Hour of Prog ram |
其他 学时 Rest Sem ester Hour |
建议修读 学期 Recomme ndation of Study Semester |
是否必 修 Require d course |
考核方 式 Evaluat ion Method s |
是否核 心课 Require d or Electiv e Course |
备注 Remarks |
|
|
180013 |
28 形势与政策-8 Current Affair and Policy VIII |
0 |
8 |
|
8 |
|
|
|
8 |
是 |
考查 |
否 |
|
学分小计 |
30 |
|
|
|
|
|
|
1(9),2(7.2 5),3(4),4(3 .5),5(3.75) ,6(0.5),7(0 ),8(2) |
|
|
|
|
通识限选 |
230027 |
29 体育I Physical Education Ⅰ |
1 |
36 |
|
36 |
|
|
|
1 |
否 |
考查 |
否 |
|
230028 |
30 体育Ⅱ Physical EducationⅡ |
1 |
36 |
|
36 |
|
|
|
2 |
否 |
考查 |
否 |
|
230029 |
31 体育Ⅲ Physical EducationⅢ |
0.5 |
18 |
|
18 |
|
|
|
3 |
否 |
考查 |
否 |
|
230030 |
32 体育IV Physical EducationⅣ |
0.5 |
18 |
|
18 |
|
|
|
4 |
否 |
考查 |
否 |
|
230031 |
33 体育V Physical Education V |
0.5 |
18 |
|
18 |
|
|
|
5 |
否 |
考查 |
否 |
|
230032 |
34 体育VI Physical Education VI |
0.5 |
18 |
|
18 |
|
|
|
6 |
否 |
考查 |
否 |
|
230056 |
35 大学英语Ⅲ College English Ⅲ |
1 |
32 |
|
32 |
|
|
|
3 |
否 |
考试 |
否 |
四级未通 过：选大 学英语III 和大学英 语IV； 四级通 过：选择 大学英语 拓展课 |
230008 |
36 大学英语拓展课 Expanding Course of College English |
2 |
32 |
|
32 |
|
|
|
3,4 |
否 |
考试 |
否 |
230057 |
37 大学英语Ⅳ College English Ⅳ |
1 |
32 |
|
32 |
|
|
|
4 |
否 |
考试 |
否 |
应修学分 |
6 |
|
|
|
|
|
|
|
|
|
|
|
通识选修 |
通识选修-“四史”教育 |
0.5 |
|
|
|
|
|
|
|
|
|
|
|
通识选修-劳动教育 |
1 |
|
|
|
|
|
|
|
|
|
|
|
通识选修-文化传承 |
0.5 |
|
|
|
|
|
|
|
|
|
|
|
通识选修-国际视野 |
0.5 |
|
|
|
|
|
|
|
|
|
|
|
通识选修-社会责任 |
0.5 |
|
|
|
|
|
|
|
|
|
|
|
通识选修-美学修养 |
2 |
学生须取得“美学修养”模块2个学分方可毕业，其中“美学和艺术史论类”、 “艺术鉴赏和评论类”课程至少取得1个学分。 |
通识选修-健康生活 |
0.5 |
|
|
|
|
|
|
|
|
|
|
|
通识选修-科技革新 |
0.5 |
|
|
|
|
|
|
|
|
|
|
|
通识选修-创新创业 |
0.5 |
|
|
|
|
|
|
|
|
|
|
|
通识选修-国防军工 |
0.5 |
|
|
|
|
|
|
|
|
|
|
|
分类 Cour se Cate gory |
课程代 码 Course Code |
课程名称 Course Name |
学分 Credit |
总学 时 Total Sem ester Hour |
周 数 Tot al We eks |
理论 学时 Sem ester Hour of Theo ry Cour se |
实验 学时 Sem ester Hour of Expe rime nt |
上机 学时 Sem ester Hour of Prog ram |
其他 学时 Rest Sem ester Hour |
建议修读 学期 Recomme ndation of Study Semester |
是否必 修 Require d course |
考核方 式 Evaluat ion Method s |
是否核 心课 Require d or Electiv e Course |
备注 Remarks |
|
|
学分小计 |
7 |
要求学生至少修得7学分，且满足每个模块的应修学分要求。 |
学分小计 |
43 |
|
|
|
|
|
|
1(9),2(7.2 5),3(4),4(3 .5),5(3.75) ,6(0.5),7(0 ),8(2) |
|
|
|
|
学科 基础 课程 |
0051 |
38 高等数学A Ⅰ Advanced Mathematics A Ⅰ |
5.5 |
88 |
|
88 |
|
|
|
1 |
是 |
考试 |
|
|
0052 |
39 高等数学AⅡ Advanced Mathematics AⅡ |
5.5 |
88 |
|
88 |
|
|
|
2 |
是 |
考试 |
|
|
0073 |
40 大学物理 Ⅰ College Physics Ⅰ |
3 |
48 |
|
48 |
|
|
|
2 |
是 |
考试 |
|
|
0101 |
41 线性代数 Linear Algebra |
2.5 |
40 |
|
40 |
|
|
|
2 |
是 |
考试 |
|
|
230021 |
42 C语言程序设计 C language programming |
1.5 |
48 |
|
32 |
|
16 |
|
2 |
否 |
考试 |
否 |
|
3071 |
43 电路分析 Circuits Analysis |
5 |
80 |
|
80 |
|
|
|
2 |
是 |
考试 |
|
|
9886 |
44 工程图学基础 Engineering Graphics |
2.5 |
40 |
|
40 |
|
|
|
2 |
是 |
考试 |
否 |
|
0065 |
45 概率与数理统计 Probability Theory and Mathematical Statistics |
3 |
48 |
|
48 |
|
|
|
3 |
是 |
考试 |
否 |
|
0069 |
46 复变函数与积分变 换 Complex Variable Function and Integral Transformation |
3 |
48 |
|
48 |
|
|
|
3 |
是 |
考试 |
|
|
0074 |
47 大学物理Ⅱ College Physics Ⅱ |
3 |
48 |
|
48 |
|
|
|
3 |
是 |
考试 |
|
|
2334 |
48 模拟电子技术基础 Analog Electronic Technology |
4 |
64 |
|
64 |
|
|
|
3 |
是 |
考试 |
|
|
2335 |
49 数字电子技术基础 Digital Electronic Technology |
3.5 |
56 |
|
56 |
|
|
|
4 |
是 |
考试 |
|
|
应修学分 |
42 |
|
|
|
|
|
|
|
|
|
|
|
专业 教育 |
9902 |
50 自动化专业导论 Introduction to the Automation |
1.25 |
24 |
|
24 |
|
|
|
1 |
是 |
考查 |
否 |
|
040016 |
51 传感器与检测技术 Sensor and detection Technology |
3 |
48 |
|
40 |
8 |
|
|
4 |
是 |
考试 |
|
|
2027 |
52 自动控制理论 Automatic Control Theory |
4.5 |
72 |
|
64 |
8 |
|
|
4 |
是 |
考试 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
分类 Cour se Cate gory |
课程代 码 Course Code |
课程名称 Course Name |
学分 Credit |
总学 时 Total Sem ester Hour |
周 数 Tot al We eks |
理论 学时 Sem ester Hour of Theo ry Cour se |
实验 学时 Sem ester Hour of Expe rime nt |
上机 学时 Sem ester Hour of Prog ram |
其他 学时 Rest Sem ester Hour |
建议修读 学期 Recomme ndation of Study Semester |
是否必 修 Require d course |
考核方 式 Evaluat ion Method s |
是否核 心课 Require d or Electiv e Course |
备注 Remarks |
|
040032 |
53 微机原理与接口技 术 Microcomputer principle and interface technology |
3 |
48 |
|
40 |
8 |
|
|
5 |
是 |
考试 |
|
|
040093 |
54 自动化专业前沿讲 座 Automation Major Frontier lecture |
0.75 |
12 |
|
12 |
|
|
|
5 |
是 |
考查 |
否 |
|
040173 |
55 控制系统建模与仿 真（双语） Control System Modeling and Simulation (Bilingual) |
2 |
32 |
|
16 |
16 |
|
|
5 |
是 |
考查 |
否 |
|
2007 |
56 信号分析与处理 Signal Analysis and Processing |
2.5 |
40 |
|
40 |
|
|
|
5 |
是 |
考试 |
否 |
|
2091 |
57 现代控制理论 Modern Control Theory |
2.5 |
40 |
|
32 |
8 |
|
|
5 |
是 |
考试 |
|
|
040071 |
58 计算机控制技术 Computer Control Technology |
3 |
48 |
|
48 |
|
|
|
6 |
是 |
考试 |
|
|
学分小计 |
22.5 |
|
|
|
|
|
|
1( 1.25),4( 7.5),5( 10. 75),6(3) |
|
|
|
|
实践教育 |
实践必修 |
210001 |
59 军训 Military Training |
2 |
|
2周 |
|
|
|
|
1 |
是 |
考查 |
否 |
|
9014 |
60 入学教育 Entrance Education |
0 |
8 |
|
|
|
|
8 |
1 |
是 |
考查 |
否 |
|
040034 |
61 电路分析实验 Circuit analysis experiment |
0.5 |
16 |
|
|
16 |
|
|
2 |
是 |
考查 |
否 |
|
040035 |
62 模拟电子技术实验 Analog electronic technology experiment |
0.75 |
24 |
|
|
24 |
|
|
3 |
是 |
考查 |
否 |
|
230024 |
63 大学物理实验I College Physics Experiment I |
0.75 |
24 |
|
|
24 |
|
|
3 |
是 |
考查 |
否 |
|
9025 |
64 电装实习A Electrical installation practice A |
1 |
|
1周 |
|
|
|
|
3 |
是 |
考查 |
否 |
劳动教育 依托课 |
040036 |
65 数字电子技术实验 Digital electronic technology experiment |
0.75 |
24 |
|
|
24 |
|
|
4 |
是 |
考查 |
否 |
|
2058 |
66 电子技术综合课程 设计 Integrated Curriculum Design ofElectronic Technology |
1 |
|
1周 |
|
|
|
|
4 |
是 |
考查 |
否 |
|
230025 |
67 大学物理实验II College Physics Experiment II |
0.75 |
24 |
|
|
24 |
|
|
4 |
是 |
考查 |
否 |
|
分类 Cour se Cate gory |
课程代 码 Course Code |
课程名称 Course Name |
学分 Credit |
总学 时 Total Sem ester Hour |
周 数 Tot al We eks |
理论 学时 Sem ester Hour of Theo ry Cour se |
实验 学时 Sem ester Hour of Expe rime nt |
上机 学时 Sem ester Hour of Prog ram |
其他 学时 Rest Sem ester Hour |
建议修读 学期 Recomme ndation of Study Semester |
是否必 修 Require d course |
考核方 式 Evaluat ion Method s |
是否核 心课 Require d or Electiv e Course |
备注 Remarks |
|
|
9026 |
68 电子创新设计与 实践 Electronic innovation design and practice |
1 |
|
1周 |
|
|
|
|
4 |
是 |
考查 |
否 |
|
040145 |
69 计算机控制技术 实验 Computer Control Technology experiment |
0.5 |
16 |
|
|
16 |
|
|
6 |
是 |
考查 |
否 |
|
2423 |
70 生产实习 Production Practice |
2 |
|
2周 |
|
|
|
|
7 |
是 |
考查 |
否 |
劳动教育 依托课程 |
040165 |
71 自动化专业毕业 设计 Graduation Project of Automation |
18 |
|
18 周 |
|
|
|
|
8 |
是 |
考查 |
否 |
|
9015 |
72 毕业教育 Graduation Education |
0 |
8 |
|
|
|
|
8 |
8 |
是 |
考查 |
否 |
|
学分小计 |
29 |
|
|
|
|
|
|
1(2),2(0.5) ,3(2.5),4(3 .5),6(0.5), 7(2),8( 18) |
|
|
|
|
实践限选 |
0310 |
73 理科创新思维实训 Innovation and Entrepreneurship (Science) |
0.5 |
16 |
|
16 |
|
|
|
3 |
是 |
考查 |
否 |
劳动教育 依托课 |
040139 |
74 计算方法实验 Experiment of calculation method |
0.5 |
16 |
|
|
16 |
|
|
3 |
是 |
考查 |
否 |
|
600020 |
75 智能制造创新创业 实训-工场MES认知与 数据采集控制 Workshop MES cognition and Data Acquisition Control |
0.25 |
8 |
|
|
8 |
|
|
3 |
是 |
考查 |
否 |
劳动教育 依托课 |
040167 |
76 FPGA数字系统设计 Design ofDigital System Based on FPGA |
1 |
32 |
|
|
32 |
|
|
4 |
是 |
考查 |
否 |
|
040175 |
77 Altium Designer电 子系统设计 Electronic System Design Based on Altium Designer |
1 |
32 |
|
|
32 |
|
|
4 |
是 |
考查 |
否 |
|
600016 |
78 智能制造创新创业 实训-智能制造产线基 础实训 Basic Practical Training of Intelligent Manufacturing Production Line |
0.25 |
8 |
|
|
8 |
|
|
4 |
是 |
考查 |
否 |
劳动教育 依托课 |
600026 |
79 工程训练-协同创作 及制造技术 Collaborative Creation |
0.5 |
16 |
|
|
16 |
|
|
4 |
是 |
考查 |
否 |
劳动教育 依托课 |
分类 Cour se Cate gory |
课程代 码 Course Code |
课程名称 Course Name |
学分 Credit |
总学 时 Total Sem ester Hour |
周 数 Tot al We eks |
理论 学时 Sem ester Hour of Theo ry Cour se |
实验 学时 Sem ester Hour of Expe rime nt |
上机 学时 Sem ester Hour of Prog ram |
其他 学时 Rest Sem ester Hour |
建议修读 学期 Recomme ndation of Study Semester |
是否必 修 Require d course |
考核方 式 Evaluat ion Method s |
是否核 心课 Require d or Electiv e Course |
备注 Remarks |
|
|
|
and Manufacturing Technology |
|
|
|
|
|
|
|
|
|
|
|
|
040129 |
80 自动化专业社会 实践 Automation professional social practice |
1 |
16 |
|
5 |
11 |
|
|
6 |
是 |
考查 |
否 |
社会实践 课，劳动 教育依托 课 |
040143 |
81 嵌入式系统课程 设计 Course Design of embedded system |
1 |
|
1周 |
|
|
|
|
6 |
是 |
考查 |
否 |
|
040130 |
82 综合控制系统工程 设计I Integrated control system engineering design |
2 |
|
2周 |
|
|
|
|
7 |
是 |
考查 |
否 |
CDIO项 目制课 程，劳动 教育依托 课 |
040131 |
83 综合控制系统工程 设计II Integrated control system engineering design |
2 |
|
2周 |
|
|
|
|
7 |
是 |
考查 |
否 |
CDIO项 目制课 程，劳动 教育依托 课 |
学分小计 |
10 |
|
|
|
|
|
|
3( 1.25),4( 2.75),6(2), 7(4) |
|
|
|
|
实践选修 |
040043 |
84 创新工程实践 Innovative engineering practice |
1 |
32 |
|
|
32 |
|
|
3 |
否 |
考查 |
否 |
|
2364 |
85 过程控制系统课程 设计 Process Control System Course Design |
1 |
|
1周 |
|
|
|
|
5 |
否 |
考查 |
否 |
三选一 |
040021 |
86 机器视觉基础课程 设计 Course Design of Machine Vision |
1 |
|
1周 |
|
|
|
|
6 |
否 |
考查 |
否 |
2272 |
87 运动控制系统课程 设计 Motion Control System Design |
1 |
|
1周 |
|
|
|
|
6 |
否 |
考查 |
否 |
040023 |
88 数据挖掘与处理课 程设计 Data Mining and Processing Course Design |
1 |
|
1周 |
|
|
|
|
5 |
否 |
考查 |
否 |
二选一 |
2019 |
89 PLC与电气设备课 程设计 The Curriculum Design ofPLC and Electrical Equipment |
1 |
|
1周 |
|
|
|
|
5 |
否 |
考查 |
否 |
应修学分 |
2 |
|
|
|
|
|
|
|
|
|
|
|
分类 Cour se Cate gory |
课程代 码 Course Code |
课程名称 Course Name |
学分 Credit |
总学 时 Total Sem ester Hour |
周 数 Tot al We eks |
理论 学时 Sem ester Hour of Theo ry Cour se |
实验 学时 Sem ester Hour of Expe rime nt |
上机 学时 Sem ester Hour of Prog ram |
其他 学时 Rest Sem ester Hour |
建议修读 学期 Recomme ndation of Study Semester |
是否必 修 Require d course |
考核方 式 Evaluat ion Method s |
是否核 心课 Require d or Electiv e Course |
备注 Remarks |
|
学分小计 |
41 |
|
|
|
|
|
|
1(2),2(0.5) ,3(3.75),4( 6.25),6(2. 5),7(6),8( 1 8) |
|
|
|
|
个性化发展 |
专业方向课 |
040074 |
90 电力电子技术 Electric Power and Electron Technology |
2.5 |
40 |
|
32 |
8 |
|
|
5 |
否 |
考查 |
否 |
运动控制 方向选修 |
040137 |
91 电机与运动控制II Motor and motion control II |
3.5 |
56 |
|
48 |
8 |
|
|
6 |
否 |
考查 |
否 |
040119 |
92 自动化仪表与过程 控制系统 Automatic instrument and process control system |
3.5 |
56 |
|
48 |
8 |
|
|
5 |
否 |
考查 |
否 |
过程控制 方向选修 |
040120 |
93 计算机网络与现场 总线 Computer network and fieldbus |
2.5 |
40 |
|
36 |
4 |
|
|
6 |
否 |
考查 |
否 |
040142 |
94 模式识别与机器 学习 Pattern recognition and machine learning |
2.5 |
40 |
|
40 |
|
|
|
5 |
否 |
考查 |
否 |
信息处理 方向选修 |
040121 |
95 机器视觉基础 Machine Vision Foundation |
3.5 |
56 |
|
40 |
16 |
|
|
6 |
否 |
考查 |
否 |
040017 |
96 计算方法 Calculation method |
2 |
32 |
|
32 |
|
|
|
3 |
否 |
考查 |
否 |
所有专业 方向必修 |
040136 |
97 电机与运动控制 I Motor and motion control I |
2 |
32 |
|
24 |
8 |
|
|
4 |
否 |
考查 |
否 |
040144 |
98 嵌入式系统 embedded system |
2.5 |
40 |
|
24 |
16 |
|
|
6 |
否 |
考查 |
否 |
应修学分 |
12.5 |
|
|
|
|
|
|
|
|
|
|
|
专业选修课 |
040018 |
99 运筹学 Operations Research |
2 |
32 |
|
32 |
|
|
|
5 |
否 |
考查 |
否 |
至少选择 6学分 |
040029 |
100 数据挖掘与处理 Data mining and processing |
3 |
48 |
|
32 |
16 |
|
|
5 |
否 |
考查 |
否 |
040151 |
101 PLC与电气设备 PLC and Electrical Equipment |
3 |
48 |
|
32 |
16 |
|
|
5 |
否 |
考查 |
否 |
040169 |
102 动态目标探测与识 别技术 Dynamic target detection and recognition technology |
2 |
32 |
|
32 |
|
|
|
6 |
否 |
考查 |
否 |
2481 |
103 先进控制技术 Advanced Control Technology |
2 |
32 |
|
32 |
|
|
|
6 |
否 |
考查 |
否 |
分类 Cour se Cate gory |
课程代 码 Course Code |
课程名称 Course Name |
学分 Credit |
总学 时 Total Sem ester Hour |
周 数 Tot al We eks |
理论 学时 Sem ester Hour of Theo ry Cour se |
实验 学时 Sem ester Hour of Expe rime nt |
上机 学时 Sem ester Hour of Prog ram |
其他 学时 Rest Sem ester Hour |
建议修读 学期 Recomme ndation of Study Semester |
是否必 修 Require d course |
考核方 式 Evaluat ion Method s |
是否核 心课 Require d or Electiv e Course |
备注 Remarks |
|
|
7426 |
104 最优控制 Optimization Control |
2 |
32 |
|
32 |
|
|
|
6 |
否 |
考查 |
否 |
|
040150 |
105 集散控制系统 Distributed Control System |
2 |
32 |
|
24 |
8 |
|
|
7 |
否 |
考查 |
否 |
040153 |
106 机器人建模与仿真 技术 Robot modeling and simulation technology |
2 |
32 |
|
24 |
8 |
|
|
7 |
否 |
考查 |
否 |
040155 |
107 机器人控制基础 Control Fundamentals ofRobotics |
2 |
32 |
|
24 |
8 |
|
|
7 |
否 |
考查 |
否 |
应修学分 |
6 |
|
|
|
|
|
|
|
|
|
|
|
自选课程 |
1 |
|
|
|
|
|
|
|
|
|
|
|
学分小计 |
19.5 |
|
|
|
|
|
|
|
|
|
|
|
全程总计 |
168 |
|
|
|
|
|
|
1( 12.25), 2(7.75), 3(7.75), 4( 17.25), 5( 14.5), 6(6), 7(6), 8(20) |
|
|
|
|
六、学分分配
VI.Credit Allocation
表1 课程模块学分分配表
课程模块 Course Module |
通识教育课程 General Education Courses |
学科基础课程 Subject Basic Courses |
专业教育课程 Discipline Courses |
实践教育课程 Practical Courses |
个性化发展课程 Personalized Development Courses |
合计 Total |
学分 Credits |
43 |
42 |
22.5 |
41 |
19.5 |
168 |
占比（%） Percentage |
25.6% |
25% |
13.4% |
24.4% |
11.6% |
100% |
表2 课程类别学分分配表
课程类别 Course Category |
必修课学分 Required Courses Credits |
选修课程学分 Elective Courses Credits |
理论教学学分 Theoretical Teaching Credits |
实践教学学分 Experimental Teaching Credits |
含限选课学分 |
不含限选课学 分 |
不含限选课学 分 |
含限选课学分 |
课内实验学分 |
不含课内实验 实践教学学分 |
学分 Credits |
91.5 |
75.6 |
76.5 |
92.5 |
112.25 |
14.75 |
41 |
占比（%） Percentage |
54.5% |
45% |
45.5% |
55% |
66.8% |
8.8% |
24.4% |
七、教学计划
VII.Teaching Schedule
1.学期周学时分配表 Weekly Study Hours
学期 Term |
一 |
二 |
三 |
四 |
五 |
六 |
七 |
八 |
周学时 Weekly Study Hours |
21.9 |
29.3 |
24.5 |
27.4 |
15.9 |
7.8 |
0.6 |
|
2.教学进程 Schedule
学年 Academic Year |
学期 Term |
各学期教学内容 Teaching Activities in Each Term |
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
11 |
12 |
13 |
14 |
15 |
16 |
17 |
18 |
19 |
20 |
21 |
22 |
23 |
24 |
25 |
26 |
一 |
1 |
+ |
+ |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
: |
= |
= |
= |
= |
= |
= |
2 |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
: |
= |
= |
= |
= |
= |
= |
二 |
3 |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
: |
= |
= |
= |
= |
= |
= |
4 |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
: |
< |
< |
= |
= |
= |
= |
= |
= |
三 |
5 |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
: |
< |
< |
= |
= |
= |
= |
= |
= |
6 |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
: |
< |
< |
Z |
= |
= |
= |
= |
= |
= |
四 |
7 |
@ |
@ |
< |
< |
< |
< |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
: |
= |
= |
= |
= |
= |
= |
8 |
> |
> |
> |
> |
> |
> |
> |
> |
> |
> |
> |
> |
> |
> |
> |
> |
> |
> |
B |
J |
= |
= |
= |
= |
= |
= |
图例：* 入学教育 - 理论教学 : 考试 <课程设计 θ 写生 = 假期 S 教学实习 O 金工 实习 $ 社会调查 X 学年论文 ! 测绘 @ 生产实习 J 机动 + 军训 >毕业设计 &毕业实 习 B 毕业教育 Z 专业实训
Legend: * Orientation - Theory Teaching : Examination <Course Project θ Sketch = Vacation S Teaching Practice O Metalworking Practice $ Social Survey X Term Paper ! Mapping @ Production Practice J Mobility + Military Training >Graduation
Project/Paper &Graduation Internship B Graduation Education Z Professional Training
八、毕业要求支撑培养目标矩阵图
VIII.Matrix of Graduation Requirements Supporting Training Objectives
|
培养目标1: 人文素养 |
培养目标2：专业知 识及应用能力 |
培养目标3：可持续 发展 |
培养目标4： 团队沟通 |
培养目标5: 终身学习 |
思想品德 |
√ |
|
|
|
|
工程知识 |
|
√ |
|
|
|
|
培养目标1: 人文素养 |
培养目标2：专业知 识及应用能力 |
培养目标3：可持续 发展 |
培养目标4： 团队沟通 |
培养目标5: 终身学习 |
问题分析 |
|
√ |
|
|
√ |
设计/开发解决方案 |
√ |
√ |
√ |
|
|
研究 |
|
√ |
|
|
|
使用现代工具 |
|
√ |
|
|
√ |
工程与社会 |
√ |
|
√ |
|
|
环境和可持续发展 |
|
|
√ |
|
|
职业规范 |
√ |
|
|
|
|
个人和团队 |
|
|
|
√ |
|
沟通 |
|
|
|
√ |
|
项目管理 |
|
|
√ |
√ |
|
终身学习 |
|
|
|
|
√ |
注：表格中毕业要求对培养目标的支撑用√表示。
九、课程体系支撑毕业要求矩阵图
IX.Matrix diagram of Graduation Requirements Supported by Curriculum System
分类 |
课程名称 |
0 思 想品 德 |
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 团队 |
10 沟通 |
11 项目 管理 |
12 终身 学习 |
0. 1 |
0. 2 |
1. 1 |
1. 2 |
1. 3 |
1. 4 |
2. 1 |
2. 2 |
2. 3 |
2. 4 |
3. 1 |
3. 2 |
3. 3 |
3. 4 |
4. 1 |
4. 2 |
4. 3 |
4. 4 |
5. 1 |
5. 2 |
6. 1 |
6. 2 |
7. 1 |
7. 2 |
8. 1 |
8. 2 |
9. 1 |
9. 2 |
10 .1 |
10 .2 |
11 .1 |
11 .2 |
12 .1 |
12 .2 |
通识教育 |
通识必修 |
108 思想道 德与法治 |
H |
H |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
L |
|
|
|
M |
L |
|
|
|
|
|
|
|
|
110 大学生 职业生涯 规划 |
L |
M |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
L |
|
|
|
|
|
|
L |
|
111 计算思 维与人工 智能基础 （工） |
L |
L |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
M |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
112 Python 语言程序 设计 |
L |
L |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
L |
L |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
113 军事理 论 |
L |
L |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
114 现代工 程导论 |
L |
L |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
L |
|
H |
|
|
|
|
|
L |
L |
115 工程伦 理与安全 |
L |
M |
|
|
|
|
|
|
|
|
|
|
|
H |
|
|
|
|
|
|
|
L |
|
L |
M |
H |
|
|
|
|
|
|
|
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116 大学英 语 Ⅰ |
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118 数字化 思维与技 术基础（理 工） |
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分类 |
课程名称 |
0 思 想品 德 |
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 团队 |
10 沟通 |
11 项目 管理 |
12 终身 学习 |
0. 1 |
0. 2 |
1. 1 |
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1. 3 |
1. 4 |
2. 1 |
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2. 4 |
3. 1 |
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3. 3 |
3. 4 |
4. 1 |
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4. 3 |
4. 4 |
5. 1 |
5. 2 |
6. 1 |
6. 2 |
7. 1 |
7. 2 |
8. 1 |
8. 2 |
9. 1 |
9. 2 |
10 .1 |
10 .2 |
11 .1 |
11 .2 |
12 .1 |
12 .2 |
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119 大学英 语Ⅱ |
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120 大学生 心理健康 教育 |
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121 中国近 现代史纲 要 |
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122 创新创 业学 |
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124 马克思 主义基本 原理 |
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125 工程经 济与项目 管理 |
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126 毛泽东 思想和中 国特色社 会主义理 论体系概 论 |
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128 企业 （军工）管 理 |
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129 习近平 新时代中 国特色社 会主义思 想概论 |
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132 大学生 就业指导 |
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134 形势与 政策 |
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通识限选 |
136 体育I |
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137 体育Ⅱ |
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138 体育Ⅲ |
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139 体育IV |
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140 体育V |
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141 体育VI |
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142 大学英 语Ⅲ |
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143 大学英 语拓展课 |
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144 大学英 语Ⅳ |
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分类 |
课程名称 |
0 思 想品 德 |
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 团队 |
10 沟通 |
11 项目 管理 |
12 终身 学习 |
0. 1 |
0. 2 |
1. 1 |
1. 2 |
1. 3 |
1. 4 |
2. 1 |
2. 2 |
2. 3 |
2. 4 |
3. 1 |
3. 2 |
3. 3 |
3. 4 |
4. 1 |
4. 2 |
4. 3 |
4. 4 |
5. 1 |
5. 2 |
6. 1 |
6. 2 |
7. 1 |
7. 2 |
8. 1 |
8. 2 |
9. 1 |
9. 2 |
10 .1 |
10 .2 |
11 .1 |
11 .2 |
12 .1 |
12 .2 |
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通识选修 |
通识选修 -“ 四史”教 育 |
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通识选修- 劳动教育 |
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通识选修- 文化传承 |
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通识选修- 国际视野 |
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通识选修- 社会责任 |
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通识选修- 美学修养 |
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通识选修- 健康生活 |
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通识选修- 科技革新 |
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通识选修- 创新创业 |
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通识选修- 国防军工 |
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学科基础课程 |
145 高等数 学A Ⅰ |
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146 高等数 学AⅡ |
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147 大学物 理 Ⅰ |
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148 线性代 数 |
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149 C语言 程序设计 |
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150 电路分 析 |
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151 工程图 学基础 |
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152 概率与 数理统计 |
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153 复变函 数与积分 变换 |
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154 大学物 理Ⅱ |
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155 模拟电 子技术基 础 |
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156 数字电 子技术基 础 |
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专业 |
157 自动化 专业导论 |
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分类 |
课程名称 |
0 思 想品 德 |
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 团队 |
10 沟通 |
11 项目 管理 |
12 终身 学习 |
0. 1 |
0. 2 |
1. 1 |
1. 2 |
1. 3 |
1. 4 |
2. 1 |
2. 2 |
2. 3 |
2. 4 |
3. 1 |
3. 2 |
3. 3 |
3. 4 |
4. 1 |
4. 2 |
4. 3 |
4. 4 |
5. 1 |
5. 2 |
6. 1 |
6. 2 |
7. 1 |
7. 2 |
8. 1 |
8. 2 |
9. 1 |
9. 2 |
10 .1 |
10 .2 |
11 .1 |
11 .2 |
12 .1 |
12 .2 |
教 育 |
158 传感器 与检测技 术 |
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159 自动控 制理论 |
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160 微机原 理与接口 技术 |
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161 自动化 专业前沿 讲座 |
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162 控制系 统建模与 仿真（双 语） |
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163 信号分 析与处理 |
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164 现代控 制理论 |
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165 计算机 控制技术 |
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实践教育 |
实践必修 |
166 军训 |
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167 入学教 育 |
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168 电路分 析实验 |
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169 模拟电 子技术实 验 |
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170 大学物 理实验I |
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171 电装实 习A |
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172 数字电 子技术实 验 |
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173 电子技 术综合课 程设计 |
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174 大学物 理实验II |
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175 电子创 新设计与 实践 |
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176 计算机 控制技术 实验 |
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177 生产实 习 |
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分类 |
课程名称 |
0 思 想品 德 |
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 团队 |
10 沟通 |
11 项目 管理 |
12 终身 学习 |
0. 1 |
0. 2 |
1. 1 |
1. 2 |
1. 3 |
1. 4 |
2. 1 |
2. 2 |
2. 3 |
2. 4 |
3. 1 |
3. 2 |
3. 3 |
3. 4 |
4. 1 |
4. 2 |
4. 3 |
4. 4 |
5. 1 |
5. 2 |
6. 1 |
6. 2 |
7. 1 |
7. 2 |
8. 1 |
8. 2 |
9. 1 |
9. 2 |
10 .1 |
10 .2 |
11 .1 |
11 .2 |
12 .1 |
12 .2 |
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178 自动化 专业毕业 设计 |
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179 毕业教 育 |
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实践限选 |
180 理科创 新思维实 训 |
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181 计算方 法实验 |
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182 智能制 造创新创 业实训-工 场MES认 知与数据 采集控制 |
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183 FPGA 数字系统 设计 |
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184 Altium Designer电 子系统设 计 |
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185 智能制 造创新创 业实训-智 能制造产 线基础实 训 |
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186 工程训 练-协同创 作及制造 技术 |
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187 自动化 专业社会 实践 |
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188 嵌入式 系统课程 设计 |
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189 综合控 制系统工 程设计I |
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190 综合控 制系统工 程设计II |
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实践选修 |
191 创新工 程实践 |
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192 过程控 制系统课 程设计 |
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分类 |
课程名称 |
0 思 想品 德 |
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 团队 |
10 沟通 |
11 项目 管理 |
12 终身 学习 |
0. 1 |
0. 2 |
1. 1 |
1. 2 |
1. 3 |
1. 4 |
2. 1 |
2. 2 |
2. 3 |
2. 4 |
3. 1 |
3. 2 |
3. 3 |
3. 4 |
4. 1 |
4. 2 |
4. 3 |
4. 4 |
5. 1 |
5. 2 |
6. 1 |
6. 2 |
7. 1 |
7. 2 |
8. 1 |
8. 2 |
9. 1 |
9. 2 |
10 .1 |
10 .2 |
11 .1 |
11 .2 |
12 .1 |
12 .2 |
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193 机器视 觉基础课 程设计 |
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194 运动控 制系统课 程设计 |
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195 数据挖 掘与处理 课程设计 |
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196 PLC与 电气设备 课程设计 |
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个性化发展 |
专业方向课 |
197 电力电 子技术 |
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198 电机与 运动控制II |
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199 自动化 仪表与过 程控制系 统 |
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200 计算机 网络与现 场总线 |
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201 模式识 别与机器 学习 |
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202 机器视 觉基础 |
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203 计算方 法 |
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204 电机与 运动控制 I |
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205 嵌入式 系统 |
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专业选修课 |
206 运筹学 |
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207 数据挖 掘与处理 |
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208 PLC与 电气设备 |
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209 动态目 标探测与 识别技术 |
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210 先进控 制技术 |
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211 最优控 制 |
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212 集散控 制系统 |
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213 机器人 |
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分类 |
课程名称 |
0 思 想品 德 |
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 团队 |
10 沟通 |
11 项目 管理 |
12 终身 学习 |
0. 1 |
0. 2 |
1. 1 |
1. 2 |
1. 3 |
1. 4 |
2. 1 |
2. 2 |
2. 3 |
2. 4 |
3. 1 |
3. 2 |
3. 3 |
3. 4 |
4. 1 |
4. 2 |
4. 3 |
4. 4 |
5. 1 |
5. 2 |
6. 1 |
6. 2 |
7. 1 |
7. 2 |
8. 1 |
8. 2 |
9. 1 |
9. 2 |
10 .1 |
10 .2 |
11 .1 |
11 .2 |
12 .1 |
12 .2 |
|
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建模与仿 真技术 |
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214 机器人 控制基础 |
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自选课程 |
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十、培养方案对标情况表
X. Benchmarking Form
培养方案与《国标》对应情况
|
国标要求 |
本方案 |
是否满足标准 （是/否） |
总学分 |
140-180 |
168 |
是 |
数学与自然科学类课程学分 (比例) |
无 |
15.2% |
/ |
人文社会科学类课程学分 (比例) |
无 |
25.6% |
/ |
学科基础和专业课程学分 (比例) |
无 |
26% |
/ |
实践教学环节学分比例 |
≥25% |
33.2% |
是 |
选修课程学分比例 |
无 |
45.5% |
/ |
核心课程 |
需涵盖电路理论、电子技术、 程序设计等学科相关知识包 括自动控制原理、现代控制理 论、优化方法、检测技术与仪 表、计算机硬件与软件技术、 微机原理、系统优化、系统设 计与仿真、传感器与执行 、 智能信息处理等专业知识，并 包括其发展历史和现状 |
高等数学AⅡ,高等数学A Ⅰ, 电路分析,模拟电子技术基础, 数字电子技术基础,复变函数 与积分变换,大学物理 Ⅰ,大学 物理Ⅱ,线性代数,现代控制理 论,传感器与检测技术, 自动控 制理论,微机原理与接口技术, 计算机控制技术 |
是 |
注：（1）国标中未规定的项目填写无即可。（2）“核心课程”一栏逐项罗列国标规定课程和方案中
与之对应的课程。
培养方案与工程教育认证通用标准对应情况
|
工程教育认证通用标准要求 |
本方案 |
是否满足标准 （是/否） |
总学分 |
无 |
168 |
/ |
数学与自然科学类课程学分 (比例) |
≥15% |
15.2% |
是 |
人文社会科学类课程学分 (比例) |
≥15% |
25.6% |
是 |
学科基础和专业课程学分 (比例) |
≥30% |
34.8% |
是 |
实践教学环节学分比例 |
≥20% |
24.4% |
是 |
|
工程教育认证通用标准要求 |
本方案 |
是否满足标准 （是/否） |
选修课程学分比例 |
无 |
45.5% |
/ |
核心课程 |
课程设置必须覆盖数学、自然 科学（物理学，根据需要可以 包括化学、生命科 学、地球 科学和空间科学等）等知识领 域及其应用，以及分析和设计 与专业名称相符的复杂对象 （包括硬件、软件和由硬件及 软 件组成的系统）所必需的 现代工程内容；自动化类专业 课程设置还必须包括建模、检 测、控制、系统集成与应用技 术等核心知识领域 |
高等数学AⅡ,高等数学A Ⅰ, 电路分析,模拟电子技术基础, 数字电子技术基础,复变函数 与积分变换,大学物理 Ⅰ,大学 物理Ⅱ,线性代数,现代控制理 论,传感器与检测技术, 自动控 制理论,微机原理与接口技术, 计算机控制技术 |
是 |
注：（1）专业认证标准中未规定的项目填写无即可。（2）“核心课程”一栏逐项罗列规定课程和方
案中与之对应的课程。
专业负责人 |
高 嵩 |
教学院长 |
赵 黎 |
院教学指导委员会主任 |
陈超波 |
校教学指导委员会主任 |
闫 莉 |
