IKT461 AI for Media, Language and Communication

The course is connected to the following study programs

• Artificial Intelligence and The Internet of Things, Master's Programme
• Artificial Intelligence, 5-year master programme

Teaching language

English.

Course contents

Multimedia such as text, image, audio, video, and graphics stands out as one of the most demanding and exciting aspects of the information era. Rich multimedia applications and services such as content analysis, dialogue systems. search and recommendation, streaming, and delivery are emerging. Intelligent multimedia aims to build seamless yet efficient multimedia applications and services through breakthroughs in fundamental algorithm theory and innovation. The availability of vast data, advanced machine learning algorithms, and powerful computational infrastructures are making AI a key-enabling technology for the development of intelligent multimedia systems. The convergence of AI and multimedia drives AI to experience a paradigm shift towards explainable AI, while AI in turn injects new ways of thinking into multimedia. Potential applications include journalism, urban computing, healthcare, digital forensics, social media, and digital heritage. This course addresses problems of intelligent multimedia content sensing, processing, analysis, services, and scalability of multimedia computing systems

Learning outcomes

After completion of the course, the students should

• have a broad overview of current applications of intelligent multimedia
• be able to perform multimedia analysis and synthesis with current techniques and algorithms
• have a systems perspective of implementation, systems, and services for multimedia analytics
• become familiar with current trends and future directions

Teaching methods

The tasks are done individually or in small groups with group supervision. Guest lectures may be invited to cover specific aspect of intelligent multimedia systems. The workload for the average student is approximately 200 hours.

Evaluation

The person responsible for the course decides, in cooperation with student representative, the form of student evaluation and whether the course is to have a midway or end of course evaluation in accordance with the quality system for education, chapter 4.1.

Offered as Single Standing Module

Yes, if there are places available

Admission Requirement if given as Single Standing Module

Admission requirements for the course are the same as for the master’s programme in ICT.

Assessment methods and criteria

A group project (50%), written group report (50%). Graded assessment.