Available courses

EPL401 - Undergraduate Thesis II


MAI622 - AI Entrepreneurship (Spring 2024)

This course is part of the new M.Sc. in Artificial Intelligence, developed as part of the Master programmes in Artificial Intelligence 4 Careers in Europe, and is offered within the network of partner universities promoting new careers in AI for students from any EU country. 
The course aspires to help students explore and master key concepts and challenges of relevance to AI and Data-driven entrepreneurship. It introduces students to the world of high-technology entrepreneurship through case studies that demonstrate successes, failures, and challenges. The course provides also an overview of, and an introduction to key steps to develop a start-up, design a business model, explore product-market fit, manage intellectual property, and attract investment. 
Students will explore acknowledged innovation-driven entrepreneurship methodologies and experiment with them and associated tools to pursue the translation of their ideas into entrepreneurial endeavors. The course examines issues faced by Start-up Founders and Chief Technology Officers who need to innovate at the boundaries of AI, Ιnformation Τechnology, and Βusiness by understanding all perspectives.

MAI643 - Artificial Intelligence in Medicine (Spring 2024)

The medical domain has presented key challenges to the AI community from the early days of AI research. It is not an exaggeration to say that this pioneering work, particularly in medical expert systems, and its undisputable successes, some in real-life settings, has helped both in restoring confidence in the promise of AI, that at some point was disturbed after its failure to deliver fully on the very ambitious initial goals that it had set, and in paving the way towards more viable paths harnessing the mechanization of knowledge and human expertise. AI in Medicine (AIM) is as old as AI itself, initially focusing on modelling human expertise, researching at the same time the cognitive processes involved in developing from a novice to an expert problem solver, as well as on intelligent tutoring systems for medical students and automated support for various clinical tasks. Over the years the initial focus on knowledge engineering has expanded to include ontologies and terminologies, natural language processing and text mining, guidelines and protocols, temporal information management, distributed and cooperative systems, uncertainty management, machine learning, image and signal processing and others. Recent interest focuses on medical analytics for healthcare intelligence. New challenges continuously arise, triggered from and/or triggering, important technological advances. The aim of this elective course is to familiarize students with the past, present and future of Artificial Intelligence in Medicine, illustrating the discussion with a number of case studies, and pinning down the human-centric and ethical aspects underlying the given applications.

MAI645 - Machine Learning for Graphics and Computer Vision (Spring 2024)

This course will offer an introduction to machine learning algorithms, the use of deep learning and its applications in computer vision and graphics. The course will also operate as a graduate-level seminar with weekly readings (1 hour per week), summarizations, and discussions of recent papers.

DMSL - Data Management Systems Laboratory

https://dmsl.cs.ucy.ac.cy/

UniServer UCY

UniServer UCY

e - Commerce


In this course we will view and explore the business and technology issues pertaining the area of e-Commerce.

Enterprise Resource Planning

Enterprise Resource Planning online course aims to ...

Supply Chain Management


Welcome to the online course SCM - Supply Chain Management.

This course aims to explain the term of Supply Chain Management, its objectives and the reason it is widely spread. Some examples and statistics are given.

Enterprise Resource Planning


Welcome to the online course ERP - Enterprise Resource Planning.

Here, you can find the content of the course, assignments and helpful extra material.

Click on the links below to view the course structure or to enter the news discussion forum.

Plagiarism check

Empty course to submit a paper/assignment and do a plagiarism check.

Designing, Delivering and Evaluating Online Study-Units (Train-the-Trainer eLearning Champion Course)

Designing, Delivering and Evaluating Online Study-Units

This course is designed to provide academic staff, who have little or no experience with online teaching, with the support to transfer study-units from a face-to-face to a blended or online format. The course has been selected for an Honorable Mention award in the E-Learning category of the 2020 International E-Learning Awards, given by the International E-Learning Association.

TestCourse

This is a decription about the course ...

NCPeH CY cross boarder services

NCPeH CY cross boarder services








EESSI Training

EU

https://ec.europa.eu/inea/en/connecting-europe-facility


EESSI Training