Programme description
The curriculum for Applications of the Internet of Things (AIoT) is an interdisciplinary second-cycle study addressed to graduates of 3.5-year engineer bachelor studies. The AIoT curriculum is situated in both the practical area (computer science, programming, running a company and its place in the economy as well as uses of modern information and communication technologies) and in the theoretical and modeling area (new methods of e-economy and e-business, business models and technologies as well as technical and economic analysis of projects). The AIoT study combines three areas of knowledge, i.e.:
- the area of techniques and technologies, especially in the field of modern information and communication technologies and their practical applications,
- economics, especially in the field of management, focusing on modern solutions for the running of a company within the electronic economy based on knowledge,
- sciences, especially physics, in the field of modern methods and solutions for collecting and processing data from the environment.
The study offers practical classes in domains of: programming languages, developing of web and mobile applications, designing of IT systems, building of user interfaces based on virtual and augmented reality (VR/AR) and developing of IoT devices. Students learn techniques to develop solutions based artificial intelligence (AI). They also gain an access to the whole infrastructure of the Faculty and University in order to extend their competences in domains which they are of their interest now or which they may be interested in during the study course.
Requirements under the Act on the Protection of Minors
The condition for participation in practical classes (laboratories) and completing mandatory student internship is that the student meets the requirements specified in the Act of 13 May 2016 on Counteracting Sexual Crime Threats and Protecting Minors, in particular, undergoing verification in the Register of Sexual Offenders and submitting information from the National Criminal Register regarding specific crimes, and in the case of students who are foreigners or have resided in countries other than the Republic of Poland for the last 20 years, also submitting additional declarations as well as information from criminal records of other countries together with sworn translations. Failure to meet the requirements specified in the aforementioned Act will prevent participation in practical classes and completing mandatory student internship, and consequently, graduation.
Specialties
- Internet of Things
- Domotics and computer networks
- Programming
- Data processing
- Multimedia
- Economy
Example of courses
- Automation and domotics networks
- Multimedia systems
- Internet marketing
- Intelligent Systems for Data Processing
- Systems for Internet of Things and Internet of Services
- Company and project management
- Banking systems
- CAD/CAM programming
Graduate competencies
- Know the basics of automation and domotics (networks, devices, standards).
- Can program imperatively (Java) and declaratively (SQL).
- Know the general assumptions of computer networks and automation networks.
- Can design complex applications of the Internet of Things and Internet of Services, from the level of controllers (measuring) to management as well as graphical interface.
- Can use and develop new solutions within Virtual Reality (VR) and Augmented Reality (AR).
- Can prepare and manage a website.
- Can run own business, as well as advertise (promote) it on Internet.
Career prospects
- designers and administrators of ICT (Information and Communication Technology) systems
- programmers (including Java, Python and C++), web services, mobile applications and systems using human-machine interfaces based on Virtual Reality (VR) and Augmented Reality (AR) technologies
- designers of decision-making, management and security systems
- specialists in online marketing and e-commerce (e-commerce, m-commerce)
- implementers and integrators of platforms and IT systems for enterprise management (CRM, ERP, BI, SCM, etc.) and bank services (e.g. “Ferryt” low-code platform)
- data scientists creating solutions for data analysis as well as solutions based on artificial intelligence