Part time Master's Degree in Automation / Autonomous Systems

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Automation / Autonomous Systems

A masters is earned after students complete an undergraduate degree program. To obtain a masters, you usually need to complete 12 to 18 college courses that often involve completing comprehensive tests and/or a thesis.

Automation program MSc in Automation / Autonomous Systemsknowledge and broad professional skills to design, develop, implement, manage and supervise automation methods for manufacturing plants, industrial processes, distribution systems, environmental systems.

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Master in Intelligent Interactive Systems

Universitat Pompeu Fabra Barcelona
Campus Part time 1 - 2 years September 2017 Spain Barcelona

Future emerging technologies will provide both interactivity and intelligence. The master's programme in Intelligent Interactive Systems (IIS) addresses both trends, focusing on the design, analysis and development of agents and robots able to interact intelligently with humans and other agents, that is, agents that can perceive, plan, act, learn and communicate. The programme's lecturers are world-renowned scientists in the fields of... [+]

Best Part time Masters in Automation / Autonomous Systems 2017. Master in Intelligent Interactive Systems Future emerging technologies will provide both interactivity and intelligence. The master's programme in Intelligent Interactive Systems (IIS) addresses both trends, focusing on the design, analysis and development of agents and robots able to interact intelligently with humans and other agents, that is, agents that can perceive, plan, act, learn and communicate. The programme's lecturers are world-renowned scientists in the fields of artificial intelligence, robotics, machine learning, natural language interaction and web intelligence. Students will learn about the languages, models and algorithms involved in intelligent interactive systems and will be exposed to top-level research in the field. This is a technical master's programme, and students are expected to be familiar with mathematical language and computer science. Objectives The master's programme aims to provide students with: A solid background in models and algorithms for the analysis, design and development of intelligent interactive systems. An entry point into high-level research in the field in which they make their contributions. Teaching staff The programme's lecturers include the ICREA research professors Hector Geffner, Gabor Lugosi and Leo Wanner; Ricardo Baeza-Yates, director of Yahoo! Labs Europe; and Vladimir Estivill-Castro, of the UPF and Griffith University (Australia). Who is it for? This is a highly technical programme, and students are expected to have prior knowledge of mathematical language and computer science. To apply to the programme, students must hold an undergraduate degree in computer science, mathematics, physics or engineering, or have a similar background. Structure The programme is research-oriented and divided into three terms, over the course of which students must complete 30 credits' worth of compulsory subjects, 10 credits' worth of optional subjects, and a 20-credit research project. Content Machine Learning (Gabor Lugosi; first term) Autonomous Systems (Hector Geffner; first term) Mobile Robotics (Vladimir Estivill; first term) Research Methodology (first term) Natural Language Interaction (Leo Wanner; second term) Web Intelligence (Ricardo Baeza; second term) Optional 1 (second term) Research project (third term) Optional 2 (third term) The two optional subjects are chosen from amongst the following: Advanced Topics in Intelligent Interactive Systems, Computational Neuroscience, Human-Computer Interaction, Image and Video Processing, Games and Entertainment, Interface Design, Psychology and Cognitive Science, Pattern Recognition, and Algorithm Design. The optional subjects are offered one term a year and are subject to a minimum enrolment. Research project and internship Students must carry out a research project within the context of one of the Pompeu Fabra University research groups. As part of their project, students may do an internship in one of these research groups or at a company in the industry. Knowledge, skills and competences acquired The ability to develop real and virtual agents, such as robots, to interact with a physical environment, humans and other agents. Knowledge of the models and algorithms needed to address learning, action and interaction in real or virtual environments that may include humans and other agents. The ability to incorporate intelligence and interactivity in a wide range of applications, such as video games, the Internet, manufacturing and robotics. Career prospects The Internet: intelligent web applications. Video games: intelligent applications in the video game industry. Intelligent data processing: data-mining professionals. Cognitive agents for the elderly. Future emerging technologies and applications. Academia: research in intelligent agents that interact with humans and other agents. [-]

Master in Intelligent Adaptive Systems

University of Hamburg, School of Mathematics, Informatics and Natural Sciences
Campus Part time 2 years October 2017 Germany Hamburg

Intelligent systems and robots are expected to become an integral part of our daily lifes. In order to be accepted by and interact efficiently and naturally with humans, they have to adapt to changing environments and the users they interact with. Intelligent systems [+]

Intelligent systems and robots are expected to become an integral part of our daily lifes. In order to be accepted by, and interact efficiently and naturally with, humans, they have to adapt to changing environments and the users they interact with. Intelligent systems are expected to automatically  acquire and manage knowledge through a variety of sensors and to learn and optimise their behaviour over time. This international Master's programme aims to provide students with the ability to create these intelligent adaptive systems and to prepare them for a future market, where intelligent and adaptive behaviour is considered the standard for computer systems.

As one of the few computer science programs in Germany that are taught completely in English, the Master course „Intelligent Adaptive Systems“ prepares students for international research and professional work. Following a balanced approach, it is placed in between programs with a purely technical focus and programs that offer a general computer science curriculum. Its curriculum is focused on the area of smart technology and intelligent adaptive systems and provides in-depth training in this area. The selected modules provide a comprehensive overview including technical aspects and state-of-the art algorithms and methods. Students are introduced to current research in the corresponding fields and have the opportunity to deepen the acquired knowledge by participating in international research projects. The Master in Intelligent Adaptive Systems is a 2-year research oriented programme that is taught in English. Students, both national and international, can profit from an international environment and improve their grasp of the English language and knowledge on cultural differences. The inter-student exchange is fostered in seminars and work groups and extended in extra-curricular discussions and activities. Through the proximity to current research projects, students have the possibility of a smooth transition into collaborative research environments and continuing education and study.... [-]