4 minute read
MH306 BSc Robotics and Intelligent Devices
CAO Code: MH306 CAO Points 2021: 362 CAO Points Range 2020: 361-565 Places 2021: 30 Duration: 4 years Erasmus/Study Abroad Option: Subject to availability Mature Applicants: See p. 208 UK, EU & International Applicants: See p. 214 QQI Link: See p. 210 Placement Option: Yes – subject to availability Leaving Certificate: 2H5 & 4O6/H7, Irish, English & O3/H7 Mathematics
>Robotics and Intelligent Devices focuses on the design, implementation, and use of intelligent physical things in the environment. These include robots, autonomous vehicles, smart sensors, and internet-of-things devices. In the modern world, many of these things are the basis for brand new services or service improvements in areas such as health and wellbeing, assistive living, safety, smart manufacturing, retail and hospitality, among others. >In addition to strong software skills, students completing the degree in Robotics and Intelligent Devices will develop strong competencies in systems and knowledge of how systems fit together, through areas such as electronic hardware design, signal processing and system control. >Blending Electronic Engineering and Computer Science, we focus on adding intelligence to every day systems and developing robots that can interact with humans and our environment. Through project work, students will explore robotics and intelligent devices and may focus their project work throughout the programme in a specific area of their interest or blend thematic areas. >There is a transfer pathway from 1st year MH306 Robotics &
Intelligent Devices to 2nd year MH304 Engineering. Students must attain 50% in Mathematics and pass the year. There is no limit on places.
Why choose this degree?
>You will have the opportunity to work with multiple robotic and intelligent device platforms and you will develop a portfolio of projects over the course of your degree programme. >You will be taught by world-class experts in the area of robotics, mobile communications, biomedical diagnostics and technologies. >You have an interest in some or all of the following: smart homes and smart cities, enabling assisted living in the home, mobile phone and communications technology, collaborative robotics, the use of devices in the medical world including prosthetics and the latest developments in car design. >Students will combine their work in hardware and software, equipping them with a blend of skills which will lead them to work on items such as music devices, physical computer interfaces, mobile phones, healthcare systems and more.
Options after graduation?
>The development of Robotics, AI, and intelligent device technologies is progressing at a rapid pace and creating demand for new skills. Employment opportunities may be found in sectors such as manufacturing, food science, pharmaceuticals, healthcare, energy, communications, research and less obvious areas such as finance.
>Possible graduate roles may include robotics engineer, software engineer/developer, embedded systems engineer/developer, intelligent systems architect and intelligence analyst. >Students of this programme will benefit from a work placement opportunity in their 3rd year and a portfolio of projects to show to potential employers. >Once a student has completed the degree in Robotics and
Intelligent Devices they may continue their education in Maynooth, or elsewhere, through postgraduate studies and PhD programmes.
Maynooth Education
Electives Option / See p. 13 for details
Contact us
Maynooth University Department of Electronic Engineering, Engineering & BioScience Building + 353 1 708 6057 / + 353 1 708 6976 electronic.engineering@mu.ie www.maynoothuniversity.ie/electronic-engineering @MaynoothEEng
You might also like
Electronic Engineering p. 162 Engineering Science in MH201 BSc degree p. 120 Product Design p. 173 “ The course has a really nice blend of electrical engineering and computer science courses, leading to greater opportunities in both career streams.
Robotics is a growing industry within Ireland and abroad with a demand for more computer scientists with a working understanding of artificial intelligence growing every day”
BRIaN, UNDerGraDUaTe
Sleep Pods - Brian’s winning idea as part of a recent MU Library Innovation Award and the #IfStudentsDidLibraries campaign.
Course structure
1st year
> Students complete a number of modules common with 1st year
Electronic Engineering (5 credits each & 1 x 7.5 credit) & 2 Computer
Science modules (7.5 credits each) > Over semester 2 students work on a project module titled Robotics
Systems (7.5 credits) > Over these 2 years you will develop a strong basis in robotics and intelligent devices > Optional 10 credit Electives (see p. 13 for details) > Complete a work placement (subject to availability) or a design challenge in third year. > Students are encouraged to compete in high profile robot competitions and other competitive challenges > Students choose between robotics and intelligent device thematic large projects
2nd & 3rd year Final year
Possible topics
1st year
> Electronic Fundamentals > Introduction to Computer Science 1 & 2 > Computer Architecture & Digital
Logic > Mathematics > Physics > Introduction to Systems > Robotics Systems Project > Computing for Engineers > Analogue Electronics > Intelligent and Connected Machines in Society > Sensors and Signals > Mathematics > Programming (C++) > Operating Systems > System Dynamics > Software Engineering > Systems and Signals > Embedded Real-time Systems > Control System Design > Mathematics > Robotics and Automation > 6 month work placement or Design
Challenge (subject to availability) > Digital Signal Processing > Computer Control Systems > Machine Learning > Computer Communications
Networks > ASIC, FPGA and High Performance
Systems > Autonomous Robotics > Actuation Systems for robots > Innovation Management > Large Project
2nd year 3rd year Final year