自动化与机器人硕士课程

CHINESE
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自动化与机器人硕士课程 -智能航天与自主系统(计算机学院),时间:3个学期,90 ECTS 学分 – 双学位课程!

波兰波兹南理工大学(PUT)计算机学院控制和系统工程系以及法国埃夫里大学[Universite d-Evry-Val d’Essonne (UEVE)] UFR科学和技术学院提供双理学硕士学位课程。课程名字:自动化和机器人,专业:智能航天和自动系统(SAAS)。

在过去十年中,有关智能航天和自主系统的研究取得显著的进步。 现在,这个领域已经足够成熟,足以启动教育程序。 从教育角度看,SAAS计划专门针对无人驾驶飞行器系统,无人地面车辆,自主和机器人系统的自主操作开发,建模,模拟,指导测试,导航,控制和决策系统。确定自主程度和控制一体化,在线决策系统,任务规划,轨迹生成和跟踪以及有限通信等是我们颇有兴趣的问题。

SAAS硕士课程的目标是提供跨学科课程,通过个别项目,任务和硕士论文等实践经验为学生在智能和自主系统的航天和地面机器人打下坚实的基础。研究方案的主要目的之一为将所有机构的努力和成果合并在一起,如自主系统控制。 课程的共同核心包括电气,航空,机械,控制,计算机科学和工程。 在课程结束时,学生将能够开发以及实施可靠,安全,经济上可行,对环境负责的智能航空和自主系统,然后推进技术发展使这种自主系统成为可能。

第一学期将在波兹南理工大学教课。 第二学期将在UEVE举行。 第三学期主要用于硕士论文的写作,学生在波兹南理工大学和UEVE之间选择。 这样,他们将分别在波兰和法国的两个机构之间活动至少6个月。 每个国家将提供当地语言课,但所有课程将用英语。

学习成果。 拿到硕士学位后,学生将具备以下技能:

开发和设计创新自主系统的能力;

在国际范围内以独立和多学科小组的形式开展工作,通过书面和口头陈述进行交流的能力;

将高技术方法从大学领域转换到工业实践的能力;

管理工程团队的能力;

能够理解不同欧洲文化和语言。

潜在工作:政府(执法,边境安全,海岸警卫队),消防和救援(森林火灾,应急救援),能源部门(石油和天然气工业的配电基础设施,电力,电网/配电网监测)广播,监视,农业 - 林业,渔业(环境监测,作物喷粉,渔业保护)等。

ENGLISH
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M.Sc. in Automation and Robotics, specialization - Smart Aerospace and Autonomous Systems (Faculty of Computing), duration: 3 semesters, 90 ECTS points - Double degree program!!!

The Chair of Control and Systems Engineering of the Faculty of Computing at Poznan University of Technology (PUT), Poland, and the UFR Sciences et Technologies of Universite d-Evry-Val d’Essonne (UEVE), France offer Master of Science, double degree diploma, in Automation and Robotics with specialization Smart Aerospace and Autonomous Systems (SAAS) – Autonomiczne Systemy Latające na kierunku Automatyka i Robotyka.
The last decade has seen a significant increase in research in Smart Aerospace and Autonomous Systems. Now, the field is sufficiently mature to engage in a procedure of education. From an educational point of view in the SAAS program we are interested in developing, modeling, simulating and testing guidance, navigation, control and decision systems for autonomous operation of unmanned aerial vehicle systems, unmanned ground vehicle and autonomous and robot systems. Issues of special interest include the determination of levels of autonomy and integration of control, online decision systems, mission planning, trajectory generation and tracking and limited communication.

The objective of the Master SAAS is to give interdisciplinary degree program providing students with strong foundation in smart and autonomous systems aerospace and terrestrial robotics thorough hands-on experience through projects, assignments and a Master’s thesis. One of the main aims of the proposed program study is to merge all institution efforts under one umbrella such as autonomous systems control. The curriculum’s common core represents electrical, aeronautics, mechanical, control, computer science and engineering. At the end of their curriculum, students will be able to develop and implement reliable, safe economically feasible and environmentally responsible smart aerospace and autonomous systems, and then to advance the technology to make such autonomous systems possible.

The first semester will be taught at PUT. The second semester will be held in UEVE. The third semester is principally devoted to the Master’s thesis and students will choose it between PUT and UEVE. In this way, they will all have mobility of at least 6 months between two institutions in Poland and France, respectively. In each country the local language will be offered but all courses will be delivered in English.

Learning outcome. Student, after passing their master, will have the following skills:

Capacity to develop and design innovative autonomous systems;

Capacity to work both independently and in multidisciplinary teams, to communicate by written and oral presentations, in an international context;

Capacity to transfer high techniques methodology from university to industry;
Capacity to manage an engineering team;
Ability to understand different European cultures and languages.
Potential jobs: Government (Law enforcement, border security, coast guard), fire and rescue (forest fire, emergency rescue), energy sector (oil and gas industry distribution infrastructure, electricity, grids/ distribution network monitoring), communication
broadcasting, surveillance, agriculture – forestry
fisheries (environmental monitoring, crop dusting, fisheries protection) and others.