Overview
The demand for Internet of Things (IoT) applications is growing with the rapid evolution of technology. This demand requires software engineers, systems developers, programmers, and analysts with the required expertise in IoT technology in order to build, integrate, and deploy relevant applications.
This course adopts modern approaches to software systems development, allowing you to explore both the theoretical and practical skills needed to understand programming and problem solving, software design methods, wireless sensor networks, development and integration of secure IoT systems, data structures and algorithms, intelligent systems, big data and data analytics, and product design and innovation management.
The course prepares you for a wide range of career opportunities, from programming and developer roles to software engineering, with Internet of Things applications found in a range of industries such as health and social care, security and surveillance, transportation, smart homes and home automation, entertainment, education, agriculture, and urban development.
Key features:
- Explore an equal balance of theory and practice by studying modules such as Machine Learning, Mobile Big Data and IoT Security and Trust, with modules such as Product Development and Innovation Management designed to enhance your employability.
- Access our specialist Internet of Things laboratory equipped with a range of sensors, actuators, and controllers for practical work.
- Prepare for a career in the innovative Internet of Things field, in roles such as IoT systems engineers, software developers, embedded systems engineers, product portfolio managers, big data architects and security specialists.
- Learn from internationally recognised academics. Computer Science and Informatics at DMU is ranked third among modern universities for the quality of its research in the latest Research Excellence Framework evaluation.
- Join our vibrant computing societies to meet like-minded people and build your skills outside the classroom. These thriving societies include DMU Hackers, an ethical hacking society that meets weekly to share skills, and gaming societies which compete in tournaments and Games Jams.
- Gain valuable international experience with our DMU Global programme. On previous trips, students from related courses met tech start-ups and entrepreneurs in San Francisco and visited the Spyscape Museum in New York.
Structure and assessment
Course modules
First year
- Computer Programming I
- Computer Programming II
- Computer Ethics
- Computer Law and Cyber Security
- Computer Systems
- Computer Networks
- Mathematics for Computing
- Database Design and Implementation
Second year
- Software and Security Management
- Object Oriented Design
- Object Oriented Development
- Data Structures and Algorithms
- Web Application Development
- Introduction to Research
- Internet of Things
- Circuits and Electronics
Third year core modules
- Computing Project
- Systems Building: Methods
- Mobile Application Development
- Embedded Systems Programming
Third year optional modules
- Mobile Big Data
- Machine Learning
- Product Development & Innovation Management
- Scalable Software Architectures
- Interaction Design
Teaching and assessments
In the first year, you will normally attend around 12-14 hours of timetabled taught sessions each week, split across a variety of lectures, small group activities and practical laboratory work.
There are a variety of assessment methods, typically including short tests, practical software development tasks, written work, and presentations. Your written and academic reading skills will be developed in the ethics and law topics and you will develop a portfolio that will give you experience of practical development.
In the second year, the emphasis moves towards more substantive practical assignments and you will practise modern software development techniques. Research and presentation skills are also important in the second year.
In the final year, the individual Internet of Things software development project forms a major part of the practical assessment.
Facilities and features
Facilities
The Computer Science laboratories provide over 100 computer workstations for students to use. The space is divided into four interconnected laboratories each with 20 machines, and a fifth laboratory with 23 machines.
There are printing facilities available, internal network access and digital projectors to aid in teaching. All the machines are connected to a dedicated, high-performance file server for storage and backup of students’ work. Many of the software packages are open source which means students can download and run software at home.
Our dedicated Internet of Things laboratory provides a range of sensors, actuators, and controllers to support various practical activities such as configuration, development, and testing.
Library and learning zones
On campus, the main Kimberlin Library offers a space where you can work, study and access a vast range of print materials, with computer stations, laptops, plasma screens and assistive technology also available.
As well as providing a physical space in which to work, we offer online tools to support your studies, and our extensive online collection of resources accessible from our Library website, e-books, specialised databases and electronic journals and films which can be remotely accessed from anywhere you choose.
We will support you to confidently use a huge range of learning technologies, including Blackboard, Collaborate Ultra, DMU Replay, MS Teams, Turnitin and more. Alongside this, you can access LinkedIn Learning and learn how to use Microsoft 365, and study support software such as mind mapping and note-taking through our new Digital Student Skills Hub.
The library staff offer additional support to students, including help with academic writing, research strategies, literature searching, reference management and assistive technology. There is also a ‘Just Ask’ service for help and advice, live LibChat, online workshops, tutorials and drop-ins available from our Learning Services, and weekly library live chat sessions that give you the chance to ask the library teams for help.
More flexible ways to learn
Our Universal Design for Learning (UDL) has been recognised as leading the university sector. It builds upon our pledge to offer an equitable and inclusive approach to learning and teaching for all our students.
UDL means we offer a wide variety of support, facilities and technology to all students, including those with disabilities and specific learning differences.
Just one of the ways we do this is by using ‘DMU Replay’ – a technology providing all students with anytime access to audio and/or visual material of lectures.
This means students can revise taught material in the way which suits them best, whether it’s replaying a recording of a class or adapting written material shared in class using specialist software.
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