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CDM 7325 BIG DATA AND ARTIFICIAL INTELLIGENCE IN THE SOCIAL SCIENCES

GENERAL INFORMATION
COURSE DESCRIPTION

LEVEL OF STUDY: UNDERGRADUATE

COURSE UNIT CODE: CDM 7325

SEMESTER: 7th

COURSE TITLE: BIG DATA AND ARTIFICIAL INTELLIGENCE IN THE SOCIAL SCIENCES  

TEACHING WEEKLY HOURS: 3 H/W LECTURES

ECTS: 5

COURSE TYPE: CORE ELECTIVE

TEACHING AND EXAM LANGUAGE: GREEK

COURSE DELIVERY TO ERASMUS STUDENTS: YES (in English)

The course examines the growing field of Big Data and Artificial Intelligence and their applications in the Social Sciences with an emphasis on applications and tools that exploit Big Data sources arising from a variety of platforms and devices with which users interact, such as media social media, mobile devices, sensors, VR platforms, new web platforms and other sources. At the heart of the course is a practical approach to their use in areas such as online advertising, marketing, personalized communication, business intelligence, political communication, forecasting benefits or risks and other areas of the social sciences. Artificial Intelligence is rapidly evolving and is now becoming more familiar at the level of the common user and is integrated into many applications and tools for digital content production, graphics, speech, video production, social media content that bring significant developments in fields such as the field of Marketing, Advertising, Communication, Journalism and Social Sciences in general. It is therefore a rapidly evolving area of increasing research activity and the course aims to explore the fundamental role and practical impact of advanced information technologies and artificial intelligence (knowledge representation, knowledge discovery, data mining, intelligent agents, social network analysis, machine learning, production digital content through Artificial Intelligence) for the exploration and exploitation of big data and Artificial Intelligence in various fields of life, business and science.

The aim of the course is to prepare students in these advanced approaches and provide the foundations for further research and professional opportunities related to the growing field of big data and Artificial Intelligence with applications in the Social Sciences.