机器人工程
Robot Engineering
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）：机器人工程Robot Engineering 总学分（Total Credits）：181.5
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）：080803T
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）： 机械工程Mechanical Engineering , 仪器科学与技术Instruments Science and Technology , 计算机科学与技术Computer Science and Technology
大类名称（Specialty）：智能制造类 专业概况（Introduction ofMajor）：
机器人工程专业是面向区域经济建设、国防工业及国家机器人科技发展需求，在国家一流专业- 自动化专业基础上，培养精通机器人基础理论和专业知识，具有创新精神和实践能力的复合型研发 应用人才。机器人工程专业以控制科学与工程、机械工程、计算机科学与技术、材料科学与工程、 生物医学工程和认知科学等学科中涉及的机器人科学技术问题为研究对象，综合应用自然科学、工 程技术、社会科学、人文科学等相关学科的理论、方法和技术，研究机器人的智能感知、优化控制 与系统设计、人机交互模式等学术问题。作为机器人及人工智能领域最前沿的学科专业，机器人工 程专业的毕业生具有工程创新、团队组织协调与综合运用所学知识的能力，具有融合掌握多学科基 础理论的专业优势，就业和深造前景十分广阔。
Robotic Engineering is to meet the needs of regional economic construction, national defense industry and national robotics technology development. Based on the national first-class specialty-automation, it cultivates composite R&D and application talents who are proficient in robot basic theory and professional knowledge, and have innovative spirit and practical ability. The robotics engineering major focuses on
robotics science and technology issues involved in disciplines such as control science and engineering, mechanical engineering, computer science and technology, materials science and engineering, biomedical engineering, and cognitive science, and comprehensively applies natural science, engineering technology, Theories, methods and technologies of social sciences, humanities, and other related disciplines, research on academic issues such as intelligent perception of robots, optimal control and system design, and human-computer interaction modes. As the most cutting-edge discipline in the field of robotics and artificial intelligence, graduates of robotics engineering are capable of engineering innovation, team organization and coordination, and comprehensive application of the knowledge they have learned. They have the professional advantages of integrating and mastering multi-disciplinary basic theories. The prospects for employment and further study are very good. broad.
二、培养目标
II.Educational Objectives
本专业面向区域经济建设、国防工业发展需求，培养德智体美劳全面发展，掌握机器人工程领 域基础理论和专业知识，能够在机器人系统、智能制造等相关领域从事机器人智能系统的设计制造、 工程设计、工程应用、系统运行维护和运营管理等工作，具有团队精神、国际视野和创新实践能力、 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）具备人文素质、科学素养、健全的人格、良好的工程职业道德、法律意识、社会责任感以 及较强团队合作与领导能力，具有服务社会的能力。(人文素养)
（2）具备工程创新能力，能够跟踪本学科与相关领域的前沿技术及发展趋势，运用现代工具和 机器人工程专业知识发现、分析和解决机器人系统应用、工程设计、集成开发与运行维护等复杂工 程问题。（专业知识和应用能力）
（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渠道不断更新知识，适应社会发展和行业竞 争。（终身学习）
This major is aimed at the development of regional economy, national defense industry and national robotics technology. It would cultivate a healthy personality and a strong sense of social responsibility. It would have good humanities and scientific literacy, masters the basic knowledge of robotics, and have international communication and innovative practice capabilities. This major would grow advanced
composite engineering and technical personnel of robotic systems, intelligent robots, intelligent manufacturing and services, and other related fields in the work of robotics engineering design, technology development, system operation and maintenance and engineering application.
（1）Having the professional ethics and norms, humanistic and scientific literacy, the ability to serve the society.
（2）Having the ability to innovation engineering field, to track the frontier technology in automation, it can track the cutting-edge technologies and development trends of this subject and related fields, and use modern tools and robot engineering expertise to discover, analyze and solve engineering problems such as robot system application, engineering design, integrated development and operation and maintenance.
（3）Having the sustainable development of conscious and the ability to take into account social, we can comprehensively consider social, security, economic, environmental, legal and other factors in the process of organizing and implementing engineering projects.
（ 4 ） Having some international perspective, and the ability to communicate with professional customers, etc.
（5） Having the ability of lifelong learning, to acquire the new knowledge by continuing education and other ways so that you can adapt to social development and industry competition.
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：具有从事机器人工程所需的数学、 自然科学、工程基础和专业知识， 并能够综合应用这些知识解决机器人工程及相关领域的复杂工程问题。
指标点 1.1具备数学和自然科学的知识，能将其应用于机器人工程问题的分析和描述。
指标点 1.2具备相关工程基础知识，能针对机器人工程问题中的具体对象建立数学模型并分析 求解。
指标点 1.3 具备机器人工程中控制、传感检测、感知决策等相关专业基础知识，能将其用于 推演，分析专业工程问题。
指标点 1.4 能够将机器人工程专业相关知识和数学模型方法用于专业工程问题解决方案的比 较与综合；
毕业要求 2 . 问题分析：能够应用机器人工程相关的数学、 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机器人工程领域的复杂工程问题，掌握对象特性，获得有效结论。
指标点 2.1能够应用数学、 自然科学和工程科学知识，并通过查阅文献资料，认识并判断实际 机器人工程问题的关键环节；
指标点 2.2能够应用数学、自然科学和工程科学知识，能分析文献正确表达一个实际工程问题；
指标点 2.3能够根据机器人相关科学原理，借助文献，认识到解决复杂工程问题是有多种方案 可选择，并能进行方案的对比寻求可替代的解决方案；
指标点 2.4能够应用数学、 自然科学和工程科学知识，并通过查阅文献资料，运用基本原理分 析机器人应用所遇到的工程问题的影响因素，证实解决方案的合理性，以获得有效结论。
毕业要求 3. 设计/开发解决方案：能够设计针对复杂工程问题的解决方案，设计机器人工程中 硬件部件、软件系统及智能算法策略或机器人系统总成及控制、智能制造与服务工艺流程，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掌握机器人工程设计和产品开发全周期、全流程的基本设计，掌握产品设计中所涉 及到的开发方法与技术，了解影响设计目标和方案的各种因素。
指标点 3.2 能够综合运用所学专业知识，设计满足机器人工程需求的硬件部件、软件系统及 智能算法策略。
指标点 3.3 能够对设计过程的合理性和正确性加以评判，在设计环节体现创新意识。
指标点 3.4 能够设计针对机器人工程领域复杂工程问题的解决方案，考虑社会、健康、安全、 法律、文化以及环境等因素。
毕业要求 4. 研究：能够基于科学原理并采用科学方法对机器人及相关领域的复杂工程问题进 行研究，包括设计实验、建模、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能够基于科学原理对机器人工程领域复杂工程问题的解决方案进行调研和分析，具 有工程实习和工程训练的经历；
指标点 4.2能够基于专业理论和对象特征，选择研究路线和设计可行的实验方案；
指标点 4.3能根据设计需要，合理的选用试验设备，采用科学的实验方法，安全地开展实验； 指标点 4.4能正确采集和整理实验数据，对实验结果进行分析和解释，获取有效结论。
毕业要求 5. 使用现代工具：能够针对机器人工程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，包括对复杂工程问题的预测与模拟，并能够理解 其局限性。
指标点 5.1能够针对机器人工程领域的工程问题，分析与选择恰当的仪器、工程工具的相关知 识，对机器人工程领域复杂工程问题进行分析、计算与设计的能力；
指标点 5.2能够开发、选择与使用现代工程工具对机器人领域复杂工程问题进行预测与模拟， 并分析其局限性。
毕业要求 6. 工程与社会：能够基于机器人工程相关背景知识进行合理分析，评价机器人工程 专业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了解与机器人工程系统相关的技术标准体系、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；
指标点 6.2能够分析新产品、新装置和新技术的应用对社会、健康、安全、法律以及文化的潜 在影响；能评价机器人操作系统失效对社会、健康、安全、法律以及文化的潜在影响，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。
毕业要求 7. 环境和可持续发展：够理解和评价针对机器人工程领域复杂工程问题的专业工程 实践对环境、社会可持续发展的影响。
指标点 7.1熟悉环境保护的相关法律法规，能理解机器人与社会可持续发展之间的关系与内涵； 指标点 7.2能针对实际机器人工程项目，评价其投入使用后对经济和社会可持续发展的影响。
毕业要求 8. 职业规范：具有人文社会科学素养、社会责任感，能够在机器人工程实践中理解 并遵守工程职业道德和规范，履行责任。
指标点 8.1理解工程伦理的核心理念，了解机器人工程及其相关领域工程师的职业性质和责任， 在工程实践中能自觉遵守职业道德和规范，具有法律意识。
指标点 8.2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能够与其他学科成员进行有效沟通，理解每个角色在团队中的作用，并能在团队中 独立或合作开展工作。
指标点 9.2具有团队构建、执行、协调和负责的能力，能够承担多学科背景下团队中不同角色 的职责。
毕业要求 10. 沟通：能够就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、清晰表达或回答指令，并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。
指标点 10.1了解机器人工程专业领域的国际发展趋势、研究热点，能够就机器人工程领域复杂 工程问题的解决方案、过程与结果，与业界同行及社会公众进行交流，通过书面报告和口头陈述清 晰地表达个人观点。
指标点 10.2了解本专业的前沿技术，并能够就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，具有良好的语言表达能力、写作能力和人际交往能力。
毕业要求 11. 项目管理：理解并掌握工程管理原理与经济决策方法，并能在多学科环境中应用。
指标点 11.1了解机器人工程设计中相关的经济决策方法，工程项目管理方法，了解机器人工程 相关软硬件产品全周期、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；
指标点 11.2能够在设计开发机器人工程领域复杂工程问题解决方案的过程中，对工程管理原理
与经济决策方法进行合理应用。
毕业要求 12. 终身学习：具有自主学习和终身学习的意识，有不断学习和适应发展的能力。
指标点 12.1能够理解终身学习意义，具有自主学习和终身学习的意识和终身学习的知识基础和 自主学习的方法；
指标点 12.2能针对个人或职业发展的需求，采用合适的方法，自主学习，适应社会和技术的发 展。
0 Ideological and Moral: with a firm and correct political direction, love the motherland, love the people, support the leadership of the Communist Party of China. Has the correct world outlook, outlook on life, values, with good ideological and moral character, sound personality, healthy body, practice the socialist core values.
0. 1 Master the firm and correct political direction, love the motherland, love the people, and support the leadership of the Communist Party of China
0.2 Master a correct world outlook, outlook on life and values, and establish and practice the socialist core values.
1 Engineering knowledge: Ability to solve complex engineering problems in automation systems depend on mathematics, physics and other basic principles and professional knowledge of natural science and engineering science.
1. 1 Master the knowledge of mathematics and natural sciences that can be applied to the analysis and description of Robotic Engineering problems.
1.2 Master relevant basic engineering knowledge that can be able to establish mathematical models and analyze and solve specific objects in robot engineering problems.
1.3 Master the basic knowledge of control, sensing detection, sensing decision-making and other related disciplines in robot engineering, that can be able to use it for deduction and analysis of professional engineering problems.
1.4 Applying the relevant knowledge and mathematical model methods of robot engineering to the comparison and synthesis ofprofessional engineering problem solutions;
2 Problem Analysis: Ability to recognize, express, and analyze the complex engineering problems in the automation system with the basic principles, knowledge of control discipline and the existing literature research to obtain effective conclusions.
2. 1: Applying the knowledge of mathematics, natural sciences and engineering sciences, and by consulting literature, we can recognize and judge the key links ofpractical robot engineering problems.
2.2: Applying the knowledge of mathematics, natural science and Engineering Science, analyze literature and correctly express a practical engineering problem;
2.3: According to the relevant scientific principles of robots and with the help of literature, it is recognized that there are many alternatives to solve complex engineering problems. Alternative solutions can be found by comparing schemes.
2.4: Applying knowledge of mathematics, natural science and engineering science, and through consulting literature, use basic principles to analyze the influencing factors of engineering problems encountered in robot application, to verify the rationality of the solution, in order to obtain effective conclusions.
3 Design and Development of solutions: Ability to design the solutions for automation systems engineering problems, to Design hardware components, software systems and intelligent algorithm strategies or robotic system assemblies and control, intelligent manufacturing and service processes in robot engineering. Innovation awareness in the design process considering the factors such as social, health, safety, legal, cultural and environmental and so on.
3. 1: Master the basic design of the whole cycle and process of robot engineering design and product development, master the development methods and technologies involved in product design, and understand various factors affecting design objectives and schemes.
3.2 Design hardware components, software systems and intelligent algorithm strategies to meet the needs of Robotic Engineering by using the professional knowledge synthetically.
3.3 Judge the rationality and correctness of the design process and reflect the sense of innovation in the design link..
3.4 Design solutions to complex engineering problems in the field of robotics, considering social, health, safety, legal, cultural, environmental and other factors.
4 Research: Ability to study on the complex engineering problems in the robotic system, using scientific principles and methods, which contains designing experiments, analyzing and interpreting data, and getting reasonable and effective conclusions through information synthesis.
4. 1 Try to investigate and analyze the solutions of complex engineering problems in the field of Robotic Engineering Based on scientific principles, and get the experience of engineering practice and engineering training.
4.2 Select research route and design feasible experimental scheme based on professional theory and object characteristics.
4.3 Reasonably select test equipment, adopt scientific experimental methods and carry out experiments safely according to design needs.
4.4: Master the ability of accurately collect and organize the experimental data, analyze and explain the experimental results, and obtain effective conclusions.
5 Use of modern tools: Ability to develop, to select and to application the appropriate technology,
resource and engineering tools and information technology tools to solve the complex engineering problems in the robotics system, meanwhile, to know the limitations oftools.
5. 1 Analyze and select appropriate instruments and engineering tools for engineering problems in the field of robot engineering, and the ability to analyze, calculate and design complex engineering problems in the field of robot engineering;
5.2 Develop, select and use modern engineering tools to predict and simulate complex engineering problems in the robot field, and analyze their limitations.
6 Engineering and Society: Ability to analyses and evaluate the impact of robot engineering practices and complex engineering problem solutions on society, health, safety, law and culture based on the background knowledge of automation related engineering, meanwhile, to understand the corresponding responsibilities.
6. 1 Familiar with technical standards, intellectual property rights, industrial policies, laws and regulations related to Robotic Engineering systems;
6.2 Analyze the potential impact of the application of new products, new devices and new technologies on society, health, safety, law and culture; Be able to evaluate the potential impact of robot operating system failure on society, health, safety, law and culture, as well as the impact of these constraints on project implementation, and understand the responsibilities to be undertaken.
7 Environment and sustainable development: Ability to understand and evaluate the impact of engineering practices on environmental and social sustainability for complex engineering problems in robotic system.
7. 1 Familiar with relevant laws and regulations of environmental protection, and be able to understand the relationship and connotation between robots and social sustainable development.
7.2 Evaluate the impact on the economic and social sustainable development of the actual robot project after it is put into use.
8 Professional norms: Have humanities and social sciences accomplishment and sense of social responsibility, ability to understand and abide by engineering ethics and norms, ability to perform responsibilities.
8. 1 Understand the core concept of engineering ethics, understand the professional nature and responsibilities of engineers in robotics and related fields, consciously abide by professional ethics and norms in engineering practice, and have legal awareness.
8.2 Understand the social responsibility of the Engineer for the safety, health and welfare of the public and environmental protection, and be able to consciously perform the responsibility in engineering practice8.3 Understand the social responsibility of the Engineer for the safety, health and well-being of the public and environmental protection, and be able to consciously perform the responsibility in engineering
practice
9 Individuals and teams: Have the cooperative and team spirit, ability to be a leader or general member in a multidisciplinary team, accomplish the personal tasks in a team.
9. 1 Communicate effectively with other discipline members and understand the role of each role in the team.
9. 1 Having the ability of communicate effectively with other discipline members, understand the role of each role in the team, and work independently or cooperatively in the team.
9.2 Having the ability of team construction, execution, coordination and responsibility, and be able to assume the responsibilities of different roles in the team in a multidisciplinary context.
10 Communicate: Ability to effectively communicate with industry peers and the public on complex engineering issues in the field of robot, for instance, writing reports and designing manuscripts, presenting statements, expressing clearly or responding to instructions. Have the international perspective and the ability to communicate with others under different cultural backgrounds.
10. 1 Communicate with peers in the industry and the public on the solutions, processes and results of complex engineering problems in the field of robotics, and clearly express their personal views through written reports and oral statements.
10.2 Understand the international development trends and research hotspots in the field of robotics engineering, understand and respect the differences and diversity of different cultures in the world
11 Project management: Understand and grasp the engineering management principle and economic decision-making method needed in atomization, ability to use them in multidisciplinary.
11. 1 Understand relevant economic decision-making methods and project management methods in robot engineering design, Understand the cost composition of the whole cycle and whole process of software and hardware products related to robot engineering, and understand the engineering management and economic decision-making problems involved
11.2 Reasonably apply engineering management principles and economic decision-making methods in the process of designing and developing solutions to complex engineering problems in the field of robot engineering.
12 Lifelong learning: Have the autonomous learning ability and consciousness, understand the importance of lifelong learning in the field of automation and personal future development.
12. 1 Understand the meaning of lifelong learning, and has the consciousness of self-learning and lifelong learning, the knowledge base of lifelong learning and the method of self-learning.
12.2 Meet the needs ofpersonal or professional development, adopt appropriate methods, self-learning, and adapt to social and technological development.
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150+X学分、第二课堂学分不低于7学 分(需通过《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10-20 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 150+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 10-20 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 ofEngineering 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 |
|
|
|
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 |
|
230026 |
5 军事理论 Military Theory |
2 |
36 |
|
36 |
|
|
|
1 |
是 |
考查 |
否 |
|
230062 |
6 现代工程导论 Introduction to Modern Engineering |
0.25 |
8 |
|
8 |
|
|
|
1 |
是 |
考查 |
否 |
|
230065 |
7工程伦理与安全 Engineering Ethics and Safety |
0.25 |
8 |
|
8 |
|
|
|
1 |
是 |
考查 |
否 |
|
4416 |
8 大学英语 Ⅰ College English Ⅰ |
4 |
64 |
|
64 |
|
|
|
1 |
是 |
考试 |
否 |
|
180007 |
9 形势与政策-2 Current Affair and Policy II |
0 |
8 |
|
8 |
|
|
|
2 |
是 |
|
|
|
230023 |
10 Python语言程序设 计 Python language programming |
0 |
32 |
|
|
|
|
32 |
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 |
|
4417 |
12 大学英语Ⅱ College English Ⅱ |
4 |
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 |
|
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 |
|
|
020121 |
15 工程经济与项目管 理 Engineering Economics and Project Management |
0.5 |
16 |
|
16 |
|
|
|
3 |
是 |
考查 |
否 |
|
050177 |
16 创新创业学 Innovation and Entrepreneurship |
1 |
32 |
|
32 |
|
|
|
3 |
是 |
考查 |
否 |
|
180008 |
17形势与政策-3 Current Affair and Policy III |
0 |
8 |
|
8 |
|
|
|
3 |
是 |
|
|
|
4983 |
18 马克思主义基本原 理 The Basic Principles of Marxism |
3 |
48 |
|
40 |
8 |
|
|
3 |
是 |
考试 |
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 |
|
|
|
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 |
|
|
|
180011 |
24形势与政策-6 Current Affair and Policy VI |
0 |
8 |
|
8 |
|
|
|
6 |
是 |
|
|
|
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 |
|
|
|
180005 |
27 形势与政策 Current Affair and Policy |
2 |
0 |
|
|
|
|
|
8 |
是 |
|
|
|
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 |
|
|
|
学分小计 |
30 |
|
|
|
|
|
|
1( 11),2(9. 25),3(4.5), 4(3),5(3.7 5),6(0.5),7 (0),8(2) |
|
|
|
|
通识限选 |
230027 |
29 体育I Physical Education Ⅰ |
1 |
36 |
|
36 |
|
|
|
1 |
是 |
考查 |
否 |
|
230028 |
30 体育Ⅱ Physical EducationⅡ |
1 |
36 |
|
36 |
|
|
|
2 |
是 |
考查 |
否 |
|
230008 |
31 大学英语拓展课 Expanding Course of College English |
2 |
32 |
|
32 |
|
|
|
3 |
是 |
考试 |
否 |
|
230029 |
32 体育Ⅲ Physical EducationⅢ |
0.5 |
18 |
|
18 |
|
|
|
3 |
是 |
考查 |
否 |
|
230056 |
33 大学英语Ⅲ College English Ⅲ |
1 |
32 |
|
32 |
|
|
|
3 |
是 |
考试 |
否 |
|
230030 |
34 体育IV Physical EducationⅣ |
0.5 |
18 |
|
18 |
|
|
|
4 |
是 |
考查 |
否 |
|
230057 |
35 大学英语Ⅳ College English Ⅳ |
1 |
32 |
|
32 |
|
|
|
4 |
是 |
考试 |
否 |
|
230031 |
36 体育V Physical Education V |
0.5 |
18 |
|
18 |
|
|
|
5 |
是 |
考查 |
否 |
|
230032 |
37 体育VI Physical Education VI |
0.5 |
18 |
|
18 |
|
|
|
6 |
是 |
考查 |
否 |
|
学分小计 |
6 |
|
|
|
|
|
|
1( 1),2( 1),3 (3.5),4( 1.5 ),5(0.5),6( 0.5) |
|
|
|
|
通识选修 |
通识选修-劳动教育 |
1 |
|
|
|
|
|
|
|
|
|
|
|
通识选修-“四史”教育 |
0.5 |
|
|
|
|
|
|
|
|
|
|
|
通识选修-国防军工 |
0.5 |
|
|
|
|
|
|
|
|
|
|
|
通识选修-创新创业 |
0.5 |
|
|
|
|
|
|
|
|
|
|
|
通识选修-科技革新 |
0.5 |
|
|
|
|
|
|
|
|
|
|
|
通识选修-健康生活 |
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-社会责任 |
0.5 |
|
|
|
|
|
|
|
|
|
|
|
通识选修-国际视野 |
0.5 |
|
|
|
|
|
|
|
|
|
|
|
通识选修-文化传承 |
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 |
1. 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( 12),2( 10 .25),3(8),4 (4.5),5(4.2 5),6( 1),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 |
否 |
|
0052 |
39 高等数学AⅡ Advanced Mathematics AⅡ |
5.5 |
88 |
|
88 |
|
|
|
2 |
是 |
考试 |
否 |
|
0073 |
40 大学物理 Ⅰ College Physics Ⅰ |
3 |
48 |
|
48 |
|
|
|
2 |
是 |
考试 |
否 |
|
0101 |
41 线性代数 Linear Algebra |
2.5 |
40 |
|
40 |
|
|
|
2 |
是 |
考试 |
否 |
|
230021 |
42 C语言程序设计 C language programming |
1.5 |
48 |
|
32 |
|
16 |
|
2 |
是 |
考试 |
否 |
|
9886 |
43 工程图学基础 Engineering Graphics |
2.5 |
40 |
|
40 |
|
|
|
2 |
是 |
考试 |
否 |
|
0065 |
44 概率与数理统计 Probability Theory and Mathematical Statistics |
3 |
48 |
|
48 |
|
|
|
3 |
是 |
考试 |
否 |
|
0069 |
45 复变函数与积分变 换 Complex Variable Function and Integral Transformation |
3 |
48 |
|
48 |
|
|
|
3 |
是 |
考查 |
否 |
|
0074 |
46 大学物理Ⅱ College Physics Ⅱ |
3 |
48 |
|
48 |
|
|
|
3 |
是 |
考试 |
否 |
|
学分小计 |
29.5 |
|
|
|
|
|
|
1(5.5),2( 1 5),3(9) |
|
|
|
|
专业 教育 |
3071 |
47 电路分析 Circuits Analysis |
5 |
80 |
|
80 |
|
|
|
2 |
是 |
考试 |
否 |
|
9937 |
48 人工智能导论 Special field Introduction to Artificial Intelligent |
1.25 |
24 |
|
24 |
|
|
|
2 |
是 |
考查 |
否 |
|
2260 |
49 工程力学 Engineering Mechanics |
2.5 |
40 |
|
40 |
|
|
|
3 |
是 |
考试 |
否 |
|
2334 |
50 模拟电子技术基础 Analog Electronic Technology |
4 |
64 |
|
64 |
|
|
|
3 |
是 |
考试 |
否 |
|
040142 |
51 模式识别与机器学 习 Pattern recognition and machine learning |
2.5 |
40 |
|
40 |
|
|
|
4 |
是 |
考试 |
否 |
|
1208 |
52 机械设计基础 Fundamentals of |
2.5 |
40 |
|
40 |
|
|
|
4 |
是 |
考试 |
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 |
|
|
Machine Design |
|
|
|
|
|
|
|
|
|
|
|
|
2027 |
53 自动控制理论 Automatic Control Theory |
4.5 |
72 |
|
64 |
8 |
|
|
4 |
是 |
考试 |
|
|
2335 |
54 数字电子技术基础 Digital Electronic Technology |
3.5 |
56 |
|
56 |
|
|
|
4 |
是 |
考试 |
否 |
|
8511 |
55 传感器与检测技术 （双语） Sensors and Detection Technology（bilingual） |
3 |
48 |
|
40 |
8 |
|
|
4 |
是 |
考试 |
|
|
040032 |
56 微机原理与接口技 术 Microcomputer principle and interface technology |
3 |
48 |
|
40 |
8 |
|
|
5 |
是 |
考试 |
否 |
|
040060 |
57 机器人电机与驱动 技术 Robot motor and drive technology |
3.5 |
56 |
|
48 |
8 |
|
|
5 |
是 |
考试 |
|
|
8509 |
58 机器人学基础 Fundamentals of Robotics |
3 |
48 |
|
48 |
|
|
|
5 |
是 |
考试 |
|
|
8514 |
59 电气控制及PLC Electrical Control and PLC |
3 |
48 |
|
40 |
8 |
|
|
5 |
是 |
考试 |
否 |
|
8518 |
60 移动机器人定位与 导航 Positioning and Navigation of Mobile Robots |
2.5 |
40 |
|
40 |
|
|
|
5 |
是 |
考试 |
|
|
8519 |
61 机器人视觉技术 Robot Vision Technology |
3 |
48 |
|
40 |
8 |
|
|
5 |
是 |
考试 |
|
|
040011 |
62 嵌入式系统基础 Fundamentals of Embedded System |
2 |
32 |
|
32 |
|
|
|
6 |
是 |
考试 |
否 |
|
040071 |
63 计算机控制技术 Computer Control Technology |
3 |
48 |
|
48 |
|
|
|
6 |
是 |
考试 |
否 |
|
0990 |
64 机器人操作系统及 应用 Robot Operating System and Its Application |
2 |
32 |
|
24 |
8 |
|
|
6 |
是 |
考试 |
|
|
8523 |
65 机器人控制系统 MATLAB仿真 MATLAB Simulation ofRobot Control System |
2 |
32 |
|
32 |
|
|
|
6 |
是 |
考试 |
否 |
|
学分小计 |
55.75 |
|
|
|
|
|
|
2(6.25),3( 6.5),4( 16), |
|
|
|
|
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 |
|
|
|
|
|
|
|
|
|
5( 18),6(9) |
|
|
|
|
个性化发展 |
专业选修课 |
040063 |
66 面向对象C++程序 设计 Object-oriented C++ programming |
2 |
32 |
|
16 |
16 |
|
|
4 |
否 |
考试 |
否 |
|
7459 |
67 互联网+创新创业讲 座 Internet + Innovation and Entrepreneurship Seminar |
1 |
16 |
|
16 |
|
|
|
4 |
否 |
考查 |
否 |
|
8524 |
68 机器人工程专业学 科前沿讲座 Frontier Lecture on Robot Engineering |
1 |
16 |
|
16 |
|
|
|
4 |
否 |
考查 |
否 |
|
2007 |
69 信号分析与处理 Signal Analysis and Processing |
2.5 |
40 |
|
40 |
|
|
|
5 |
否 |
考试 |
否 |
|
040065 |
70 人机交互与接口技 术 Human-computer interaction and interface technology |
2 |
32 |
|
32 |
|
|
|
7 |
否 |
考查 |
否 |
|
0988 |
71 兵器导论 Introduction to Weapons |
1 |
16 |
|
16 |
|
|
|
7 |
否 |
考查 |
否 |
|
0994 |
72 工业数据采集与控 制网络 Industrial Data Acquisition and Control Network |
2 |
32 |
|
32 |
|
|
|
7 |
否 |
考查 |
否 |
|
8526 |
73 兵工测试技术 Ordnance Test Technology |
1 |
16 |
|
16 |
|
|
|
7 |
否 |
考查 |
否 |
|
8536 |
74 大数据技术原理及 应用 Principle and Application ofBig Data Technology |
2 |
32 |
|
24 |
8 |
|
|
7 |
否 |
考查 |
否 |
|
应修学分 |
1 |
|
|
|
|
|
|
|
|
|
|
|
自选课程 |
2 |
|
学分小计 |
3 |
|
|
|
|
|
|
|
|
|
|
|
实践教育 |
实践必修 |
210001 |
75 军训 Military Training |
2 |
|
2周 |
|
|
|
|
1 |
是 |
考查 |
否 |
|
9014 |
76 入学教育 Entrance Education |
0 |
8 |
|
|
|
|
8 |
1 |
是 |
考查 |
否 |
|
230024 |
77 大学物理实验I College Physics Experiment I |
0.75 |
24 |
|
|
24 |
|
|
3 |
是 |
考试 |
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 |
|
|
230025 |
78 大学物理实验II College Physics Experiment II |
0.75 |
24 |
|
|
24 |
|
|
4 |
是 |
考试 |
否 |
|
040176 |
79 机器人工程专业毕 业设计 Graduation project of robot engineering |
18 |
|
18 周 |
|
|
|
|
7,8 |
是 |
|
|
|
9015 |
80 毕业教育 Graduation Education |
0 |
8 |
|
|
|
|
8 |
8 |
是 |
考查 |
否 |
|
学分小计 |
21.5 |
|
|
|
|
|
|
1(2),3(0.7 5),4(0.75), 7( 18),8( 18 ) |
|
|
|
|
实践限选 |
040034 |
81 电路分析实验 Circuit analysis experiment |
0.5 |
16 |
|
|
16 |
|
|
2 |
是 |
|
|
|
0310 |
82 理科创新思维实训 Innovation and Entrepreneurship (Science) |
0.5 |
16 |
|
16 |
|
|
|
3 |
否 |
考查 |
否 |
劳动教育 依托课程 |
040035 |
83 模拟电子技术实验 Analog electronic technology experiment |
0.75 |
24 |
|
|
24 |
|
|
3 |
否 |
考查 |
否 |
|
600017 |
84 智能制造创新创业 实训-工业机器人基本 操作与虚拟仿真 Basic Operations and Virtual Simulation of Industrial Robots |
0.25 |
8 |
|
|
8 |
|
|
3 |
否 |
考查 |
否 |
劳动教育 依托课程 |
9025 |
85 电装实习A Electrical installation practice A |
1 |
|
1周 |
|
|
|
|
3 |
是 |
考查 |
否 |
劳动教育 依托课程 |
040036 |
86 数字电子技术实验 Digital electronic technology experiment |
0.75 |
24 |
|
|
24 |
|
|
4 |
否 |
考查 |
否 |
|
2058 |
87 电子技术综合课程 设计 Integrated Curriculum Design ofElectronic Technology |
1 |
|
1周 |
|
|
|
|
4 |
否 |
考查 |
否 |
|
600018 |
88 智能制造创新创业 实训-工业机器人物料 搬运与码垛基础实训 Basic Training on Industrial Robot Material Handling and Stacking |
0.25 |
8 |
|
|
8 |
|
|
4 |
是 |
考查 |
否 |
劳动教育 依托课程 |
600026 |
89 工程训练-协同创作 及制造技术 Collaborative Creation and Manufacturing Technology |
0.5 |
16 |
|
|
16 |
|
|
4 |
否 |
考查 |
否 |
劳动教育 依托课程 |
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 |
|
|
040108 |
90 移动机器人导航与 定位课程设计 Course design of mobile robot navigation and positioning |
1 |
|
1周 |
|
|
|
|
5 |
否 |
考查 |
否 |
|
040109 |
91 机器人电机驱动控 制实训 Robot motor drive control training |
1 |
|
1周 |
|
|
|
|
5 |
是 |
考查 |
否 |
|
040110 |
92 机器人专业工程实 践 Robot professional engineering practice |
1 |
16 |
|
2 |
14 |
|
|
5 |
是 |
考查 |
否 |
必修, 专 业社会实 践 |
040170 |
93 机器人工程CDIO综 合课程设计-A Robot Engineering CDIO Integrated Course Design A |
1 |
|
1周 |
|
|
|
|
5 |
否 |
考查 |
否 |
CDIO项 目制课 程，劳动 教育依托 课 |
8547 |
94 电气控制及PLC课 程设计 Integrated Course Design of Electrical Control and PLC |
1 |
|
1周 |
|
|
|
|
5 |
是 |
考查 |
否 |
|
040040 |
95 嵌入式系统原理及 应用实验 Embedded System Principles and Application Experiments |
0.5 |
16 |
|
|
16 |
|
|
6 |
是 |
考查 |
否 |
|
040061 |
96 工业机器人生产实 践 Industrial robot production practice |
2 |
|
2周 |
|
|
|
|
6 |
是 |
考查 |
否 |
劳动依 托课程 |
040171 |
97 机器人工程CDIO综 合课程设计-B Robot Engineering CDIO Integrated Course Design-B |
2 |
|
2周 |
|
|
|
|
6 |
否 |
考查 |
否 |
CDIO项 目制课 程，劳动 教育依托 课 |
8555 |
98 机器人视觉技术课 程设计 Integrated Course Design ofRobot Vision Technology |
1 |
|
1周 |
|
|
|
|
6 |
是 |
考查 |
否 |
|
040172 |
99 机器人工程CDIO综 合课程设计-C Robot Engineering CDIO Integrated Course Design-C |
2 |
|
2周 |
|
|
|
|
7 |
否 |
考查 |
否 |
CDIO项 目制课 程，劳动 教育依托 课 |
应修学分 |
21 |
|
|
|
|
|
|
|
|
|
|
|
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 |
42.5 |
|
|
|
|
|
|
1(2),3(0.7 5),4(0.75), 7( 18),8( 18 ) |
|
|
|
|
全程总计 |
173.7 5 |
|
|
|
|
|
|
1( 19.5), 2(31.5), 3(24.25), 4(21.25), 5(22.25), 6( 10), 7( 18), 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 |
29.5 |
55.75 |
42.5 |
3 |
173.75 |
占比（%） Percentage |
24.7% |
16.9% |
32. 1% |
24.4% |
1.7% |
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 |
136.75 |
130.75 |
30 |
36 |
130 |
9 |
34.75 |
占比（%） Percentage |
78.5% |
75.2% |
17.3% |
20.7% |
74.8% |
5.17% |
20% |
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 Stu y Hours |
21.8 |
30.5 |
26.6 |
25.5 |
25. 1 |
12.8 |
0.5 |
|
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 |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
- |
: |
< |
< |
< |
< |
< |
= |
= |
= |
= |
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 |
培养目标2 |
培养目标3 |
培养目标4 |
培养目标5 |
思想品德 |
√ |
|
|
|
|
工程知识 |
√ |
√ |
|
|
|
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 |
100 思想道 德与法治 |
H |
H |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
L |
|
|
|
M |
L |
|
|
|
|
|
|
|
|
101 形势与 政策-1 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
102 大学生 职业生涯 规划 |
L |
M |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
L |
|
|
|
|
|
|
L |
|
103 计算思 维与人工 智能基础 （工） |
L |
L |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
M |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
104 军事理 论 |
L |
L |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
105 现代工 程导论 |
L |
L |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
L |
|
|
|
|
|
|
L |
L |
|
106 工程伦 理与安全 |
L |
M |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
L |
|
L |
|
M |
|
|
|
|
|
|
|
|
107 大学英 语 Ⅰ |
L |
L |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
H |
|
|
|
|
108 形势与 政策-2 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
109 Python 语言程序 设计 |
L |
L |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
L |
L |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
110 数字化 思维与技 术基础（理 工） |
L |
L |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
L |
|
|
|
|
|
|
L |
L |
111 大学英 语Ⅱ |
L |
L |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
H |
|
|
|
|
112 大学生 心理健康 教育 |
L |
M |
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
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|
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|
|
|
|
113 中国近 现代史纲 要 |
H |
H |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
H |
|
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|
|
114 工程经 济与项目 管理 |
L |
L |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
H |
M |
|
|
115 创新创 业学 |
L |
L |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
M |
|
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116 形势与 政策-3 |
|
|
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117 马克思 主义基本 原理 |
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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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118 毛泽东 思想和中 国特色社 会主义理 论体系概 论 |
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119 形势与 政策-4 |
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120 企业 （军工）管 理 |
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121 习近平 新时代中 国特色社 会主义思 想概论 |
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122 形势与 政策-5 |
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123 形势与 政策-6 |
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124 大学生 就业指导 |
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125 形势与 政策-7 |
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126 形势与 政策 |
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127 形势与 政策-8 |
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通识限选 |
128 体育I |
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129 体育Ⅱ |
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130 大学英 语拓展课 |
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131 体育Ⅲ |
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132 大学英 语Ⅲ |
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133 体育IV |
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134 大学英 语Ⅳ |
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135 体育V |
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136 体育VI |
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通识选修 |
通识选修- 劳动教育 |
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通识选修 -“ 四史”教 育 |
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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- 国防军工 |
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通识选修- 创新创业 |
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通识选修- 科技革新 |
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通识选修- 健康生活 |
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通识选修- 美学修养 |
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通识选修- 社会责任 |
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通识选修- 国际视野 |
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通识选修- 文化传承 |
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学科基础课程 |
137 高等数 学A Ⅰ |
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138 高等数 学AⅡ |
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139 大学物 理 Ⅰ |
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140 线性代 数 |
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141 C语言 程序设计 |
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142 工程图 学基础 |
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143 概率与 数理统计 |
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144 复变函 数与积分 变换 |
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145 大学物 理Ⅱ |
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专业教育 |
146 电路分 析 |
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147 人工智 能导论 |
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148 工程力 学 |
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149 模拟电 子技术基 础 |
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150 模式识 别与机器 学习 |
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151 机械设 计基础 |
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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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152 自动控 制理论 |
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153 数字电 子技术基 础 |
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154 传感器 与检测技 术（双语） |
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155 微机原 理与接口 技术 |
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156 机器人 电机与驱 动技术 |
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157 机器人 学基础 |
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158 电气控 制及PLC |
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159 移动机 器人定位 与导航 |
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160 机器人 视觉技术 |
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161 嵌入式 系统基础 |
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162 计算机 控制技术 |
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163 机器人 操作系统 及应用 |
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164 机器人 控制系统 MATLAB 仿真 |
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个性化发展 |
专业选修课 |
165 面向对 象C++程序 设计 |
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166 互联网 +创新创业 讲座 |
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167 机器人 工程专业 学科前沿 讲座 |
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168 信号分 析与处理 |
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169 人机交 互与接口 技术 |
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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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170 兵器导 论 |
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171 工业数 据采集与 控制网络 |
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172 兵工测 试技术 |
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173 大数据 技术原理 及应用 |
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自选课程 |
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实践教育 |
实践必修 |
174 军训 |
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175 入学教 育 |
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176 大学物 理实验I |
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177 大学物 理实验II |
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178 机器人 工程专业 毕业设计 |
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179 毕业教 育 |
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实践限选 |
180 电路分 析实验 |
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181 理科创 新思维实 训 |
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182 模拟电 子技术实 验 |
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183 智能制 造创新创 业实训-工 业机器人 基本操作 与虚拟仿 真 |
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184 电装实 习A |
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185 数字电 子技术实 验 |
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186 电子技 术综合课 程设计 |
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187 智能制 造创新创 业实训-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 |
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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业机器人 物料搬运 与码垛基 础实训 |
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188 工程训 练-协同创 作及制造 技术 |
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189 移动机 器人导航 与定位课 程设计 |
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190 机器人 电机驱动 控制实训 |
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191 机器人 专业工程 实践 |
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192 机器人 工程CDIO 综合课程 设计-A |
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193 电气控 制及PLC课 程设计 |
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194 嵌入式 系统原理 及应用实 验 |
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195 工业机 器人生产 实践 |
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196 机器人 工程CDIO 综合课程 设计-B |
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197 机器人 视觉技术 课程设计 |
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198 机器人 工程CDIO 综合课程 设计-C |
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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 |
173.75 |
是 |
数学与自然科学类课程学分 (比例) |
无 |
16.9% |
/ |
人文社会科学类课程学分 (比例) |
无 |
24.7% |
/ |
学科基础和专业课程学分 (比例) |
无 |
46.7% |
/ |
实践教学环节学分比例 |
≥25% |
25.17% |
是 |
选修课程学分比例 |
无 |
16.7% |
/ |
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 |
移动机器人定位与导航,机器 人视觉技术, 自动控制理论, 机器人操作系统及应用,机器 人学基础,传感器与检测技术 （双语）,机器人电机与驱动 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 |
173.75 |
/ |
数学与自然科学类课程学分 (比例) |
≥15% |
16.9% |
是 |
人文社会科学类课程学分 (比例) |
≥15% |
24.7% |
是 |
学科基础和专业课程学分 (比例) |
≥30% |
46.7% |
是 |
实践教学环节学分比例 |
≥20% |
25.17% |
是 |
选修课程学分比例 |
无 |
16.7% |
/ |
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 |
移动机器人定位与导航,机器 人视觉技术, 自动控制理论,机 器人操作系统及应用,机器人 学基础,传感器与检测技术 （双语）,机器人电机与驱动 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 |
马天力 |
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 |
