机器人工程专业培养方案
Curriculum for Undergraduate of Robot Engineering
一、培养目标
本专业面向机器人行业,旨在培养德、智、体、美、劳全面发展,具有厚实的数学、物理和机器人基础知识,掌握信息、自动控制、计算机软硬件及算法设计技术,具备机器人系统设计、开发和应用技能,富有实践能力和创新精神的高素质应用型人才。期待毕业生五年左右达到以下目标:
1. 具备扎实的数学、自然科学基础知识,良好的人文素养、社会责任感和职业道德;
2. 掌握机器人工程领域的基础理论和专业知识,具有创新意识、复杂机器人系统设计、开发、应用与维护、技术管理等方面的工程实践能力;
3. 具有文献检索和资料查询的能力,了解机器人技术前沿动态和发展趋势;
4. 具有良好的表达和沟通能力以及团队合作和组织管理能力;
5. 具有终身学习的意识, 具备不断学习和适应发展的能力;
6. 具有一定的国际视野和良好的外语应用能力。
I. Training objectives
This major aim to cultivate high-quality applied talent in robot industry, who all-round develops of moral, intellectual, physical, aesthetics and labor, owns solid knowledge on mathematics, physics and robot, grasps technique in information, auto-control, computer software and hardware, and algorithm designation, masters skill in designation, development and application of robot system, and is with highly practical ability and creative spirit. Graduates of this major are supposed to achieve the following aims in about five years:
1. Be equipped with the capability of solid basic knowledge of mathematical, natural science, good humanistic accomplishment, social responsibility and professional ethics;
2. Master the basic theory and professional knowledge in robot field. Have the innovative awareness and the practical ability in designation, development, application, maintaining, technical management of the complex robot system;
3. Have the capability of literature search and data query. Know the cutting edge and the development trend of robot technology;
4. Have good skills in communication, teamwork, organization and management;
5. Have a sense of lifelong learning. Have the ability to continue to learn and adapt to development;
6. Have certain international vision and good foreign language application ability.
二、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。
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,并通过文献研究分析,对机器人工程领域的复杂工程问题进行建模和分析。
3. 设计/开发解决方案:能够设计针对机器人领域复杂工程问题的解决方案,包括机器人工程中硬件部分、软件系统及智能算法、机器人系统总成及控制,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。
4. 实验设计与信息处理:能够基于科学原理并采用科学方法,进行建模、仿真、优化和综合,研究机器人工程及相关领域的复杂工程问题,并通过信息综合得到合理有效的结论。
5. 现代工具的应用:能够针对机器人工程专业领域的复杂工程问题,开发、选择与使用恰当的自动化技术、资源、现代工程工具和信息技术工具,包括对机器人工程系统复杂工程问题的预测与模拟,并能够理解其局限性。
6.社会责任意识:能够基于工程相关背景知识进行合理分析,利用机器人工程设计、实施及评估规范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。
7. 环境和可持续发展:能够理解和评价针对机器人工程技术中复杂工程问题的工程实践对环境、社会可持续发展的影响。
8. 职业道德与规范:具有人文社会科学素养、社会责任感,能够在机器人工程项目实践中理解并遵守工程职业道德和规范,履行责任。
9. 团队合作: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。
10. 沟通:具备优秀的交流能力,能够就机器人系统设计、研究、开发等的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,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。
11. 项目管理:面向机器人工程项目的多学科环境,理解、掌握并应用工程原理与经济决策方法。
12. 终身学习:具有自主学习和终身学习意识,有不断学习和适应发展的能力。
II. Requirements
1. Engineering knowledge: Be equipped with knowledge of mathematic, nature science, engineering base and expertise. Can synthesize these knowledges to solve the complex engineering problem in robot engineering and the corresponding field.
2. Problem Analysis: Be able to model and analyze the complex problem in robot engineering by applying the base principles of mathematics, nature science and engineering science about robot engineering and through the literature research and analysis.
3. Design / Development Solution: Design solutions for complex engineering problems in the field of robot, including the hardware, the software, the intelligent algorithm, the integration and the control of the robot engineering and be able to embody innovation in the design process, consider health, safety, legal, cultural and environmental factors.
4. Experimental design and information processing: Can using scientific principles and methods in modeling, simulation, optimizing and synthesis, researching of the complex engineering problem in robot engineering and the corresponding field, can combine the information to get reasonable and effective conclusions.
5. The application of modern tools: Be able to develop, select and use appropriate automation technologies, resources, modern engineering tools and information technology tools for complex engineering issues in the field of robot engineering, including the prediction and simulation of complex engineering problems in robot engineering system and have the ability to understand the limitations.
6. Social Responsibility Consciousness: Have the ability to conduct rational analysis based on engineering-related background knowledge, use the standard of designation, implementation and evaluation of the robot engineering to evaluate the influence of the professional engineering practice and the complex engineering problem solutions on social, health, safety, legal and cultural impact, and understand the responsibility should bear.
7. Environment and Sustainable Development: Have the ability to understand and evaluate the impact of engineering practices on complex engineering issues in robot engineering technology for environmental and social sustainable development.
8. Professional ethics and norms: Be equipped with a humanities and social science literacy, social responsibility, can understand and comply with engineering ethics and norms in the robot project practice, can fulfill the responsibilities.
9. Teamwork: Have the ability to take on individual, team members, and responsible roles in a multidisciplinary team.
10. Communication: Have excellent communication skills,be able to effectively communicate and exchange with industry peers and the public on complex engineering issues, including writing reports and design manuscripts, presenting statements, clearly expressing or responding to directives, have certain international perspective, can communication in a cross culture context.
11. Project management: Understand, master and apply the principles of engineering management and economic decision-making methods for the multidisciplinary environment about robot engineering project.
12. Lifelong learning: Be equipped with independent learning and lifelong learning awareness, have the ability to continue learning and adapt 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 |
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毕业要求12 |
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三、专业主干课程
机器人技术基础,机械设计基础,微机原理与单片机技术,智能机器人系统,自动控制原理,电机控制系统,传感器与检测技术,机器人软件工程,机器人动力学建模与控制,人工智能原理及其应用。
III. Core courses
Fundamentals of Robot Techniques, Fundamentals of Mechanical Design, Microcomputer Principle and Single-chip Microcomputer Technology, Intelligent Robot System, Principle of Automatic Control, Motor Control System, Sensors and Testing Technology, Software Engineering of Robot, Dynamic Modeling and Control of Robot, Principle and Application of Artificial Intelligence.
四、基本学制:四年
IV. Recommended length of the program: 4 Year
五、授予学位:工学学士
V. Degree: Bachelor of Engineering
学生修满所规定的最低毕业学分,符合武汉科技大学授予学士学位规定,授予工学学士学位。
六、毕业学分要求:176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 | 47 | 3、专业课程模块 | 45.5 |
公共基础课程 | 32 | 必修课程 | 37.5 |
通识教育课程 | 必修 | 11 | 选修课程 | 8 |
选修 | 4 | 4、实践教学模块 | 23.5 |
2、学科基础平台课程 | 54 | 专业实践课程 | 必修 | 23.5 |
专业学科基础课程 | 必修 | 48 | 选修 | 0 |
选修 | 6 | 5、素质拓展模块 | 6 |
*通识教育选修课3学分包括:人文社科类1学分、艺术体育类1学分、自然科学类1学分、经济管理类1学分
VI. Credits required for graduation:176 credits
Type of courses | Academic credits | Type of courses | Academic credits |
1.Common Courses | 47 | 3. Specialized Courses | 45.5 |
Common Basic Courses | 32 | Required Courses | 37.5 |
General Education Courses | Required Courses | 11 | Elective Courses | 8 |
Elective Courses | 4 | 4.Practicum and Internship Courses | 23.5 |
2. General Disciplinary Courses | 54 | Disciplinary Practical Courses | Required Courses | 23.5 |
Disciplinary Basic Courses | Required Courses | 48 | Elective Courses | 0 |
Elective Courses | 6 | 5. Quality Development Courses | 6 |
七、学时学分比例
VII. Time Credit Ratio
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 | 158 | 89.77% |
选修 | 18 | 10.23% |
2. 实践教学环节学分比例
The Proportion of credits in practice teaching
实践教学环节 | 实验教学学分 | 20 | 28.13% |
实践教学模块 | 23.5 |
素质拓展模块 | 6 |
八、毕业要求实现矩阵
VIII. Graduation Realization Matrix
课程名称 | 机器人工程专业毕业要求 |
(1) | (2) | (3) | (4) | (5) | (6) | (7) | (8) | (9) | (10) | (11) | (12) |
思想道德修养与法律基础 |
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中国近现代史纲要 |
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计算机科学导论 | √ |
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大学生心理健康教育 |
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马克思主义基本原理 |
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毛泽东思想和中国特色社会主义理论体系概论 |
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大学综合英语 |
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体育 |
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职业生涯规划与就业指导 |
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现代管理理论与方法 |
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军事理论与训练 |
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公益劳动 | √ |
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形势与政策 |
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创业学基础 |
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高等数学 |
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大学物理 |
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大学物理实验 |
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电路分析基础 |
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电路分析基础实验 |
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线性代数 |
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模拟电子技术 |
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模拟电子技术实验 |
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数字电子技术 |
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数字电子技术实验 |
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概率论及数理统计 |
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复变函数与积分变换 |
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C语言程序设计 | √ |
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C语言程序设计实验 |
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机器人技术导论 |
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机械设计基础 | √ | √ |
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机器人技术基础 | √ |
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传感器与检测技术 |
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电机拖动基础 | √ |
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微机原理与单片机技术 | √ |
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智能机器人系统 |
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人工智能原理及其应用 |
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自动控制原理 | √ |
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自动控制原理实验 |
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电机控制系统 |
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电机控制系统实验 |
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计算机视觉 |
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机器人软件工程 |
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机器人动力学建模与控制 |
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专业英语 |
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工程训练B |
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C语言程序设计课程设计 | √ |
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认知实习 |
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生产实习 |
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机器人软件工程课程设计 |
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工业机器人系统课程设计 |
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移动机器人系统综合设计 |
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工程实践 |
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毕业实习 |
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毕业设计 |
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