一、培养目标
本专业旨在培养德、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、人工智能技术、大数据知识，掌握信息、自动控制、计算机软硬件及算法设计、大数据收集与处理技术，具备运用人工智能和大数据知识，进行机器人系统设计、开发和应用技能，运用人工智能技术，设计和实现智能系统等，富有实践能力和创新精神，能够在机器人核心部件、机器人系统、智能制造与服务、人工智能、大数据、机器学习等工程领域从事科学研究、技术开发、工程设计、系统集成、运维管理等工作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、掌握先进的人工智能技术，设计和实现智能系统，包括自然语言处理或计算机视觉等，使用深度学习和强化技术的能力；
4、具有使用机器学习技术解决实际问题的能力，通过选择正确的算法、训练和调整模型以及评估性能，具有应用机器学习技术来解决实际问题的能力；
5、具有管理数据项目的能力，系统掌握管理数据项目的能力，包括定义问题、收集和清理数据、选择和应用算法、评估结果、展示结果以及监控结果系统；
6、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；
7、具有终身学习的意识，具备不断学习和适应发展的能力；
8、具有一定的国际视野、国际竞争力和良好的外语应用能力。
I. Training objectives
This program aims to cultivate high-quality applied talents in robot industry, who have all-round development of morality, intelligence, physical fitness, aesthetics and labor, own solid knowledge on mathematics, physics and robotics, artificial intelligence technology, big data knowledge, grasp techniques in information, auto-control, computer software and hardware, data acquisition and processing and algorithm designation, master skills in designation, development and application of robot system using artificial intelligence and big data knowledge, and are with highly practical ability and creative spirit, can be engaged in scientific research, technology development, engineering design, system integration, operation, maintenance and management in robot engineering fields such as robot core components, robot system, intelligent manufacturing and service and so on.
Students should have the following professional abilities about five years after graduation:
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. Master advanced artificial intelligence technologies, the ability to design and implement intelligent systems, including natural language processing or computer vision, using deep learning and reinforcement techniques;
4. Have the ability to use machine learning technology to solve practical problems, by selecting the right algorithm, training and adjusting the model and evaluating the performance, have the ability to apply machine learning technology to solve practical problems;
5. Have the ability to manage data items, and systematically master the ability to manage data items, including defining problems, collecting and cleaning data, selecting and applying algorithms, evaluating results, presenting results, and monitoring results systems;
6. Have good skills in communication, teamwork, organization and management;
7. Have a sense of lifelong learning. Have the ability to continue to learn and adapt to development;
8. Have certain international vision, international competitiveness and good foreign language application ability.
二、毕业要求
1、工程知识：具有从事数据工程和人工智能以及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数据工程和人工智能应用于机器人工程及相关领域的复杂工程问题。
2、问题分析：能够应用数据工程和人工智能以及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，应用机器学习技术对人工智能和机器人工程领域的复杂工程问题进行建模和分析。包括选择正确的算法、训练和调整模型以及评估性能。
3、设计/开发解决方案：能够设计针对人工智能和机器人领域复杂工程问题的解决方案，确定所提出算法的适用性和复杂性，包括机器人工程中硬件部分、软件系统及编程和智能算法、机器人智能系统总成及控制，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，研究人工智能及机器人工程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：能够针对人工智能及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，包括处理用于处理海量数据的软件工具，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，利用先进的人工智能技术、机器人工程设计、实施及评估规范评价人工智能和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人工智能和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，能够在数据工程和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。了解数据处理和人工智能技术使用相关的道德、法律、监管和安全。此外，还将强调数据安全和隐私的重要性，如何确保安全访问信息和维护数据完整性。
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、国际竞争力，能够在跨文化背景下进行沟通和交流。
11、项目管理：面向数据工程项目和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。获得管理数据项目的技能，包括定义问题、收集和清理数据、选择和应用算法、评估结果、展示结果以及监控结果系统。
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 mathematics, nature science, engineering base and expertise. Can synthesize these knowledge to solve the complex engineering problem in data engineering and artificial intelligence, and robot engineering and the corresponding field.
2. Problem Analysis: Be able to model and analyze the complex problem in artificial intelligence and robot engineering by applying the base principles of mathematics, nature science and engineering science about artificial intelligence and robot engineering and through the literature research and analysis, using machine learning techniques. This includes selecting the right algorithm, training and tuning the model, and evaluating performance.
3. Design / Development Solution: Design solutions for complex engineering problems in artificial intelligence and robot field, and The determine applicability and complexity of the proposed algorithm, including the hardware, the software, the programming and intelligent algorithm, the integration and the control of the robot intelligent 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 use scientific principles and methods in modeling, simulation, optimizing and synthesis, researching of the complex engineering problems in artificial intelligence, 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 artificial intelligence and robot engineering, including software tools for processing large amounts of data, the prediction and simulation of complex engineering problems in artificial intelligence and robot engineering system, and have the ability to understand the limitations.
6. Social Responsibility Consciousness: Have the ability to conduct rational analysis based on advanced artificial intelligence technology and engineering-related background knowledge, use the standard of designation, implementation and evaluation of the artificial intelligence and 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 artificial intelligence and 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 data engineering and robot project practice, can fulfill the responsibilities. Understand the ethics, legal, regulatory, and safety associated with data processing and the use of AI technologies. In addition, the importance of data security and privacy, how to ensure secure access to information and maintain data integrity will be emphasized.
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 and international competitiveness, 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 data engineering and robot engineering project. Gain skills in managing data projects, including defining problems, collecting and cleaning data, selecting and applying algorithms, evaluating results, presenting results, and monitoring results systems.
12. Lifelong learning: Be equipped with independent learning and lifelong learning awareness, have the ability to continue learning and adapt to development.
三、专业主干课程
人工智能基础，机器人与自主系统-自主系统，机器人，机器学习，机械设计基础，并行性和分布式系统，自动控制系统-人工智能应用于控制系统，自然语言处理，智能感知，信号分析，数据项目。
III. Core courses
Fundamentals of Artificial Intelligence, Robots and Autonomous Systems-Autonomous Systems, Robotics, Machine Learning, Mechanical Design Basis, Parallelism and Distributed Systems, Automatic Control System-Artificial Intelligences Applied to Control Systems, Intellisense, Signal Analysis, Data Project.
四、基本学制：
学制为全日制4年。全部教学、科研活动均在中国武汉科技大学完成。
IV. Recommended length of the program:
The program duration is four year full time. All the teaching and research activities under the program will be conducted at WUST's campus in China.
