智能车辆工程专业培养方案
Curriculum for Undergraduate of Intelligent Vehicle Engineering Major
一、专业介绍
本专业是基于汽车电动化、智能化、网联化和共享化的快速发展对人才需求的变化,围绕湖北省“51020”现代产业集群学科专业设置布局要求而设立的新工科专业。该专业旨在培养在智能车辆及零部件设计、研发、制造及测试应用等领域的高素质人才,同时具备自主学习和终身学习能力、创新能力、沟通与组织协调能力。专业起源于J9旗舰厅1972年开办的矿用汽车专业,以2003年开办的国家级一流本科专业建设点--车辆工程本科专业为基础建设。2024年,经教育部批准增设智能车辆工程本科专业。
I.Professional Introduction
This major is a new engineering major based on the changes in the demand for talents caused by the rapid development of automobile electrification, intelligence, networking and sharing, and centering on the requirements of the "51020" modern industrial cluster discipline layout in Hubei Province. This major aims to cultivate high-quality talents in the fields of intelligent vehicle and parts design, research and development, manufacturing and testing applications, with self-learning and lifelong learning abilities, innovation abilities, communication and organization and coordination abilities. The major originated from the mining automobile major established by Wuhan University of Science and Technology in 1972, and is based on the national first-class undergraduate major construction point - Vehicle Engineering undergraduate major established in 2003. In 2024, the Ministry of Education approved the addition of intelligent vehicle engineering undergraduate program.
二、培养目标
本专业培养适应社会经济发展需要和行业发展需求,德、智、体、美、劳全面发展的社会主义事业合格建设者和可靠接班人;培养具备扎实的自然科学基础理论及融合机械、信息和计算机的车辆工程专门知识,掌握汽车产业电动化、智能化与网联化所必需的较系统的基础科学知识,具有较强工程实践能力、一定创新创业精神和能力及国际视野,能在智能车辆工程及相关领域从事设计制造、技术研发、系统集成及产品测试等工作的交叉复合型人才,期待员工毕业五年左右达到以下目标:
1.具有良好的人文社会科学素养、工程职业道德和社会责任感;
2.取得工程团队质,能综合运用信息、计算机和智能车辆工程多学科知识、原理和现代工具从事设计制造、技术研发、系统集成及产品测试等工作;
3.熟悉智能车辆工程领域行业规范和法律法规并主动遵守,能在工程实践中充分考虑社会、环境、法律、安全、健康及文化等因素;
4.能够进行跨文化和跨领域的团队协作和沟通交流,具备多学科团队的组织与协调能力;
5.具备可持续发展理念、国际视野及创新创业精神和能力;
6.具备良好的自主学习与终身学习能力,熟悉行业的国内外发展现状,不断适应行业发展新需求。
I. Training objectives
This major trains qualified builders and reliable successors of the socialist cause who meet the needs of social and economic development and automobile industry development, and develop comprehensively in moral, intellectual, physical, aesthetic, and labor; The students should be equipped with a solid basic theory of natural science and vehicle engineering expertise that integrates machinery, information and computers, and should master the systematic basic scientific knowledge necessary for the electrification, intelligence and connectivity of the automotive industry, and should have strong engineering practice ability, innovation & entrepreneurship, and an international perspective, and should have high-quality applied talents who can be engaged in design and manufacturing, technology research and development, system integration and product testing in intelligent vehicle engineering and related fields. The graduates should achieve the following goals in about five years:
1. Possess good humanities and social science literacy, engineering professional ethics and a sense of social responsibility;
2. Be able to obtain engineer qualification and comprehensively use multidisciplinary knowledge, principles and modern tools of information, computer and intelligent vehicle engineering to engaged in design and manufacture, technology research and development, system integration and product testing, etc.;
3. Familiar with industry norms and laws and regulations in the field of intelligent vehicle engineering and actively comply with them, and be able to fully consider social, environmental, legal, safety, health and cultural factors in engineering practice;
4. Be able to conduct cross-cultural and cross-field team collaboration and communication, and have the ability to organize and coordinate multidisciplinary teams;
5. Possess the concept of sustainable development, international vision, innovation and entrepreneurial spirit and ability;
6. Possess a good independent learning and lifelong learning ability, familiar with the development of the industry at home and abroad, and constantly adapt to the new needs of industry development.
三、专业特色
本专业培养的人才能够基本掌握车辆、人工智能、大数据、电子、控制等多学科交叉基础知识和实践技能,能够在智能车辆工程领域从事整车设计与开发、整车测试与评价、大数据分析与决策、运行管理等工作。专业办学过程中实施跨部门跨公司跨学科共享教学实践资源,跨专业跨课程组建教学指导团队,积极创新教学新模式。与智能车辆领域的领先企业合作,共建校企联合实验室与实践教学基地,提升员工解决复杂工程问题的能力,以期培养符合智能汽车行业需求的创新型人才。
III.Professional characteristics
The talents trained in this major can master the basic knowledge and practical skills of vehicle, artificial intelligence, big data, electronics, control and other multi-disciplines, and can engage in vehicle design and development, vehicle testing and evaluation, big data analysis and decision-making, operation management and other work in the field of intelligent vehicle engineering. In the course of running a major, cross-departmental, cross-college and cross-disciplinary sharing of teaching practice resources are implemented, cross-professional and cross-curriculum teaching guidance teams are formed, and new teaching models are actively innovated. Cooperate with leading enterprises in the field of intelligent vehicles to build a joint laboratory and practical teaching base to improve students' ability to solve complex engineering problems, in order to cultivate innovative and applied talents that meet the needs of the intelligent vehicle industry.
四、毕业要求
毕业要求 | 指标点 |
1.工程知识:能够将数学、自然科学、工程基础和专业知识用于解决智能车辆工程领域的复杂工程问题。 | 1.1 能够运用数学、物理、化学及机械学科的符号、图形和文字等语言工具表述智能车辆工程领域的工程问题。 |
1.2 能针对汽车的结构、理论和设计等工程问题建立数学模型并求解。 |
1.3 能够将数学、自然科学及机械学科等相关知识和数学模型方法用于推演、分析智能车辆工程领域的复杂工程问题。 |
1.4能够将数学、自然科学及机械学科等相关知识和数学模型方法用于智能车辆工程领域复杂工程问题解决方案的比较与综合。 |
2.问题分析:能够应用数学、自然科学和工程科学的基本原理,识别、表达、并通过文献研究分析复杂智能车辆工程问题,综合考虑可持续发展的要求,以获得有效结论。 | 2.1 能够运用数学、自然科学和机械科学的基本原理,识别和判断智能车辆工程领域复杂工程问题的重要环节以及关键要素。 |
2.2 能够运用数学、自然科学和机械科学的基本原理和数学模型方法正确表达汽车设计、制造、测试和集成等方面的复杂工程问题。 |
2.3 能够认识到解决智能车辆工程领域复杂工程问题有不同方案,会通过文献研究寻求可替代的解决方案。 |
2.4能够运用工程科学的基本原理,借助文献研究,综合考虑可持续发展的要求,分析汽车设计、制造、测试和集成过程的影响因素获得有效结论。 |
3.设计/开发解决方案:能够设计针对智能车辆工程领域复杂工程问题的解决方案,设计满足特定需求的汽车总成和零部件,并能够在设计环节中体现创新意识,从健康、安全、环境、法律、伦理、全生命周期成本、净零碳要求、社会与文化等角度考虑解决方案的可行性。 | 3.1 掌握汽车工程设计和产品开发全周期、全流程的基本设计-开发方法和技术,了解影响设计目标和技术方案的各种因素。 |
3.2 能够针对整车性能需求,进行汽车零部件的设计。 |
3.3 能够进行汽车总体及系统设计,在设计中体现创新意识。 |
3.4在汽车总体、系统及零部件设计中能够考虑健康、安全、环境、法律、伦理、全生命周期成本、净零碳要求、社会与文化等制约因素。 |
4.研究:能够基于科学原理并采用科学方法对智能车辆工程领域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。 | 4.1 能够基于科学原理,通过文献研究或相关方法,调研和分析智能车辆工程领域复杂工程问题的解决方案。 |
4.2针对复杂工程问题的解决方案,能够根据不同对象及其特征,选择研究路线,设计实验方案。 |
4.3能够根据实验方案构建实验系统,通过规范的操作,安全地开展实验,正确地采集实验数据。 |
4.4能够整理和分析实验数据、进行结果解释和总结,并综合各方面的信息归纳得到合理有效的结论。 |
5.使用现代工具:能够针对车工程领域复杂工程问题,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,包括对复杂工程问题的预测与模拟,并能够理解其局限性。(增加AI素养、人工智能) | 5.1 了解智能车辆工程专业常用的现代仪器与设备、信息技术工具、工程工具和模拟软件的使用原理、功能和方法,并理解其局限性。 |
5.2 能够选择与使用恰当的仪器、信息资源、工程工具和专业模拟软件,对智能车辆工程领域复杂工程问题进行分析、计算与设计。 |
5.3 能够针对智能车辆工程领域复杂工程问题,选用满足特定需求的现代工具进行模拟和预测,并能够分析其局限性。 |
6.工程与可持续发展:能够基于工程相关背景知识进行合理分析,评价智能车辆工程专业工程实践和复杂工程问题解决方案对社会可持续发展、健康、安全、环境、法律、文化以及经济的影响,并理解应承担的责任。 | 6.1 了解智能车辆工程专业相关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工程活动的影响。 |
6.2 能分析和评价智能车辆工程专业工程项目及实践对社会、健康、安全、法律、文化的影响,以及这些制约因素对项目实施的影响,并理解应承担的责任。 |
6.3 知晓和理解环境保护和可持续发展的理念和内涵,了解智能车辆工程专业实践与环境及社会可持续发展之间的联系。 |
6.4 能够站在环境保护和可持续发展的角度思考智能车辆工程专业工程实践的可持续性,评价汽车产品周期中可能对人类和环境造成的损害和隐患。 |
7.工程伦理和职业规范:具有人文社会科学素养、社会责任感,能够在工程实践中理解工程伦理,并遵守工程职业道德和规范,履行责任。 | 7.1 了解中国国情,树立和践行社会主义核心价值观,理解个人与社会的关系,明确个人作为社会主义建设者和接班人所肩负的责任和使命。 |
7.2理解工程伦理中诚实公正、诚信守则的工程职业道德和规范,具有创新创业精神,并能在智能车辆工程实践中自觉遵守。 |
7.3 理解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,能够在智能车辆工程实践中自觉履行责任。 |
8.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。 | 8.1 能在多学科背景下的团队中与其他成员有效沟通,合作共事。 |
8.2 能够在团队中独立或合作开展工作,具备组织、协调和指挥团队的能力。 |
9.沟通:能够就智能车辆工程领域复杂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。具备一定的国际视野,能够在跨文化背景下进行沟通和交流。 | 9.1 能够就智能车辆工程领域的专业问题以图表、文稿和口头陈述等形式,准确表达自己的观点,与业界同行和社会公众进行包容性的沟通、交流和讨论。 |
9.2 具有一定的国际视野,了解智能车辆工程专业领域的国际发展趋势、研究热点,理解和尊重世界不同文化的差异性和多样性。 |
9.3 具备跨文化交流的语言和书面表达能力,能就智能车辆工程专业问题,在跨文化背景下进行基本沟通和交流。 |
10.项目管理:理解并掌握工程管理原理与经济决策方法,并能在智能车辆工程领域多学科环境中应用。 | 10.1 掌握汽车产品工程项目中涉及的管理和经济决策方法。 |
10.2 了解汽车工程及产品全周期、全流程的成本构成,理解其中涉及的工程管理与经济决策问题,并能在多学科环境下设计开发解决方案的过程中,运用工程管理与经济决策方法。 |
11.终身学习:具有自主学习和终身学习的意识,有不断学习和适应发展的能力。 | 11.1能认识到经济、社会和科技的发展进步对个人知识更新和能力提升的要求,具备自主和终身学习的意识。 |
11.2 具有自主学习的能力,包括对技术问题的理解能力,归纳总结能力和提出问题能力等。 |
IV.Requirements
1. Engineering knowledge: Have ability of applying math, nature sciences, engineering foundations and professional knowledge to solve complicated engineering problems in the field of intelligent vehicle engineering;
2. Problem analysis: Have ability of applying basic theories of math, nature sciences and engineering sciences to identify, express complicated engineering problems in the field of intelligent vehicle engineering and analyze them through literature information to obtain effective conclusions within the consideration of requirements of sustainable development;
3. Design - development solutions: Have ability of designing solutions for complicated engineering problems in the field of intelligent vehicle engineering and designing systems, parts and components to meet special requirements with innovative consciousness, considering health, safety, environment, law, ethics, life-cycle cost, net-zero carbon requirements, society and culture;
4. Research: Have ability of using scientific principles and approaches to study complicated engineering problems in the field of intelligent vehicle engineering including designing experiment, analyzing and interpreting data, to obtain reasonable conclusions through information integration;
5. Application of modern tools: Aiming at complicated engineering problems in the field of intelligent vehicle engineering, have ability to develop and chose suitable technology, resources, modern engineering tools and information technology tools to predict and simulate them, understanding their limitation;
6. Engineering and Sustainable Development: Based on the relevant engineering background knowledge, have ability to perform reasonable analysis and evaluate the influences of solutions of engineering practices and complicated engineering problems in intelligent vehicle engineering on social sustainable development, health, safety, environment, legislation, economy, culture etc., understanding corresponding responsibilities;
7. Engineering ethics and professional norms: With humanistic quality, sense of social responsibility, have ability of understanding and obeying engineering ethics and professional norms and performing duties;
8. Individual and team: Have ability to act as individual, the team member or the leader in the team under a multidisciplinary background;
9. Communication: Have ability to communicate with the general public and peers on complicated engineering problems in the field of intelligent vehicle engineering, including writing reports and designing documents, making statement, expressing clearly, and responding instructions; Have ability to communicate in cross-cultural background and have certain international perspectives;
10. Project management: Have ability to understand and master the theory of engineering management and the method of economic decision-making, to apply them in the field of intelligent vehicle engineering under the multidisciplinary background;
11. Lifelong learning: Have consciousness of autonomous learning and lifelong learning and have ability of continuous studying and adapting to development.
附:培养目标实现矩阵
| 培养目标1 | 培养目标2 | 培养目标3 | 培养目标4 | 培养目标5 | 培养目标6 |
毕业要求1 |
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毕业要求11 |
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五、专业主干课程
现代汽车工程导论、汽车构造、汽车理论、智能汽车设计、汽车试验学、汽车嵌入式技术、智能汽车感知技术、智能汽车通信技术、智能汽车决策与控制技术、汽车智能底盘技术。
V.Core courses
An Outline of Modern Automotive Engineering, Automobile Structure, Automobile Theory, Intelligent Automobile Design, Automotive Experimental Theory, Automotive Embedded Technology, Intelligent Vehicle Sensing Technology, Intelligent Vehicle Communication Technology, Intelligent Vehicle Decision and Control Technology, Automotive Intelligent Chassis Technology.
六、基本学制:四年
VI.Recommended length of the program:4 years
七、授予学位:工学学士
VII. Degree: Bachelor of Engineering
员工修满所规定的最低毕业学分,符合J9旗舰厅授予学士学位规定,授予工学学士学位。
八、毕业学分要求:160学分
课程类型 | 学分要求 | 课程类型 | 学分要求 |
1、公共课程平台 | 44 | 3、专业课程模块 | 39 |
公共基础课程 | 28 | 专业必修课程 | 30 |
通识教育课程 | 必修 | 10 | 专业选修课程 | 9 |
选修 | 6 | 4、实践教学模块 | 31 |
2、学科基础平台 | 46 | 专业实践课程 | 必修 | 25 |
专业学科基础课程 | 必修 | 42.5 |
选修 | 3.5 | 5、素质拓展模块 | 6 |
*通识教育选修课6学分包括:理工类、医学类、人文社科类、经济管理类中选择2学分(员工在本专业所属类别外的3个类中选择2个学分);思想政治及新时代素质教育类选择2学分(“四史”至少选修1个学分);美育教育类选择2学分(美学和艺术史论类、艺术鉴赏和评论类课程至少选修1个学分)。
VIII. Credits required for graduation:160 credits
Type of courses | Academic credits | Type of courses | Academic credits |
1.Common Courses | 44 | 3. Specialized Courses | 39 |
Common Basic Courses | 28 | Required Courses | 30 |
General Education Courses | Required Courses | 10 | Elective Courses | 9 |
Elective Courses | 6 | 4.Practicum and Internship Courses | 31 |
2.General Disciplinary Courses | 46 | Disciplinary Practical Courses | Required Courses | 25 |
Disciplinary Basic Courses | Required Courses | 42.5 |
Elective Courses | 3.5 | 5.Quality Development Courses | 6 |
九、学分比例
IX. Ratio of Credits
1.必修选修学分比例
The proportion of compulsory elective credits
类别 | 学分 | 占总学分比例 |
必修 | 141.5 | 88.4% |
选修 | 18.5 | 11.6% |
2.实践教学环节学分比例
The Proportion of credits in practice teaching
类型 | 学分 | 占总学分比例 |
实践教学环节 | 实验教学学分 | 19.5 | 31.56% |
实践教学模块 | 25 |
素质拓展模块 | 6 |
十、辅修
X.Minor
修读本专业辅修课程达到26学分且主修专业达到毕业要求者,颁发辅修专业证书。修读本专业辅修课程达到40学分(含实践教学),并达到辅修学位授予条件的,颁发辅修学位证书。