Scienze della Comunicazione | DIGITAL HUMANITIES

cod. 0312200102

DIGITAL HUMANITIES

	0312200102
	DEPARTMENT OF POLITICAL AND COMMUNICATION SCIENCES
	EQF6
	COMMUNICATION SCIENCES
	2022/2023

CURRICULUM COMMUNICATION OF INSTITUTIONS Cohort 2020/2021

	YEAR OF COURSE 3
	YEAR OF DIDACTIC SYSTEM 2019
	AUTUMN SEMESTER

TEACHING UNITS

	SSD	CFU	HOURS	ACTIVITY	TYPE OF ACTIVITY
	L-LIN/01	6	40	LESSONS	BASIC COMPULSORY SUBJECTS

EXAMS

	Exam	Date	Session
	DIGITAL HUMANITIES	23/02/2023 - 09:30	SESSIONE ORDINARIA
	DIGITAL HUMANITIES	23/02/2023 - 09:30	SESSIONE DI RECUPERO

	Objectives
	GENERAL OBJECTIVE: THE COURSE WILL TRAIN STUDENTS IN THE STUDY OF COMPUTER-ASSISTED MANAGEMENT OF HUMANISTIC DISCIPLINES, WITH REFERENCE TO THE HISTORY, THEORY AND PRACTICE OF THE RESEARCH FIELDS SHARED BY COMPUTER SCIENCE AND HUMANITIES, STARTING FROM THE AUTOMATISMS AND FORMAL METHODS USED IN THE DESCRIPTION OF HUMAN LANGUAGE. KNOWLEDGE AND UNDERSTANDING: IN TERMS OF APPLIED RESEARCH, THE COURSE WILL HELP STUDENTS TO KNOW AND UNDERSTAND THE TOPICS, CURRENT AND PAST, WHICH BIND AND BLEND COMPUTER AND HUMAN SCIENCES, IN THE BROADEST SENSE OF THE EXPRESSION. PARTICULAR ATTENTION WILL ALSO BE GIVEN TO THE ETHICAL AND MORAL ASPECTS THAT INVOLVE THE USE OF AUTOMATISMS IN HUMAN SCIENCES, AS RELATED TO THE PROTECTION AND CARE OF INDIVIDUALS. ABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING: THE COURSE WILL LEAD STUDENTS TO KNOW AND UNDERSTAND SEVERAL ROUTINES USEFUL TO AUTOMATE ACTIVITIES SUCH AS TRANSLATION FROM ONE LANGUAGE TO ANOTHER, AS WELL AS AUTOMATIC TEXT READING, WRITING, RECOGNITION, AND UNDERSTANDING. MOREOVER, SPECIFIC TOPICS WILL BE TREATED WITH REFERENCE TO NATURAL LANGUAGE PROCESSING, STARTING FROM THE HISTORICAL AND EPISTEMIOLOGICAL PATHS RELATING TO THE BIRTH OF AUTOMATIC TRANSLATION UP TO THOSE OF INFORMATION RETRIEVAL, AUTOMATIC TEXT ANALYSIS, BIG AND LINKED DATA PARSING AND MANAGEMENT, KNOWLEDGE MANAGMENT SYSTEMS AND ARTIFICIAL INTELLIGENCE. AUTONOMY OF JUDGMENT: AS FOR DIGITAL HUMANITIES AND ARTIFICIAL INTELLIGENCE, THE COURSE WANTS TO TRAIN STUDENTS IN THE DETERMINATION OF INDEPENDENT JUDGMENTS ON THE USE OF RULE-BASED METHODS, IN OPPOSITION TO THOSE OF COMPUTATIONAL STATISTICS, ALSO RECKONING THE ADVANTAGES AND LIMITATIONS OF BOTH, THROUGH CRITICAL ANALYSIS, ASSESSMENTS AND SYNTHESIS OF NEW AND COMPLEX IDEAS. COMMUNICATION SKILLS: STUDENTS WILL BE TRAINED IN COMMUNICATING AND COMPARING THEIR ACHIEVEMENTS WITH THOSE OF THEIR COLLEAGUES’, AS WELL AS, IN WIDER TERMS, WITH ALL THE NEW INPUTS COMING FROM THOSE FIELDS OF STUDY, RESEARCH AND COMMUNICATION THAT IN DIFFERENT WAYS DEAL WITH DIGITAL HUMANITIES. LEARNING SKILLS: STUDENTS WILL BE LED TO PRDOUCE NEW CONSIDERATIONS AND IDEAS RELATING TO DIGITAL HUMANITES, TO BE ESPECIALLY PROMOTED, USED AND TESTED IN THE FIELDS OF THEIR FUTURE WORK ACTIVITIES.

GENERAL OBJECTIVE: THE COURSE WILL TRAIN STUDENTS IN THE STUDY OF COMPUTER-ASSISTED MANAGEMENT OF HUMANISTIC DISCIPLINES, WITH REFERENCE TO THE HISTORY, THEORY AND PRACTICE OF THE RESEARCH FIELDS SHARED BY COMPUTER SCIENCE AND HUMANITIES, STARTING FROM THE AUTOMATISMS AND FORMAL METHODS USED IN THE DESCRIPTION OF HUMAN LANGUAGE.
KNOWLEDGE AND UNDERSTANDING: IN TERMS OF APPLIED RESEARCH, THE COURSE WILL HELP STUDENTS TO KNOW AND UNDERSTAND THE TOPICS, CURRENT AND PAST, WHICH BIND AND BLEND COMPUTER AND HUMAN SCIENCES, IN THE BROADEST SENSE OF THE EXPRESSION. PARTICULAR ATTENTION WILL ALSO BE GIVEN TO THE ETHICAL AND MORAL ASPECTS THAT INVOLVE THE USE OF AUTOMATISMS IN HUMAN SCIENCES, AS RELATED TO THE PROTECTION AND CARE OF INDIVIDUALS.
ABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING: THE COURSE WILL LEAD STUDENTS TO KNOW AND UNDERSTAND SEVERAL ROUTINES USEFUL TO AUTOMATE ACTIVITIES SUCH AS TRANSLATION FROM ONE LANGUAGE TO ANOTHER, AS WELL AS AUTOMATIC TEXT READING, WRITING, RECOGNITION, AND UNDERSTANDING. MOREOVER, SPECIFIC TOPICS WILL BE TREATED WITH REFERENCE TO NATURAL LANGUAGE PROCESSING, STARTING FROM THE HISTORICAL AND EPISTEMIOLOGICAL PATHS RELATING TO THE BIRTH OF AUTOMATIC TRANSLATION UP TO THOSE OF INFORMATION RETRIEVAL, AUTOMATIC TEXT ANALYSIS, BIG AND LINKED DATA PARSING AND MANAGEMENT, KNOWLEDGE MANAGMENT SYSTEMS AND ARTIFICIAL INTELLIGENCE.
AUTONOMY OF JUDGMENT: AS FOR DIGITAL HUMANITIES AND ARTIFICIAL INTELLIGENCE, THE COURSE WANTS TO TRAIN STUDENTS IN THE DETERMINATION OF INDEPENDENT JUDGMENTS ON THE USE OF RULE-BASED METHODS, IN OPPOSITION TO THOSE OF COMPUTATIONAL STATISTICS, ALSO RECKONING THE ADVANTAGES AND LIMITATIONS OF BOTH, THROUGH CRITICAL ANALYSIS, ASSESSMENTS AND SYNTHESIS OF NEW AND COMPLEX IDEAS.
COMMUNICATION SKILLS: STUDENTS WILL BE TRAINED IN COMMUNICATING AND COMPARING THEIR ACHIEVEMENTS WITH THOSE OF THEIR COLLEAGUES’, AS WELL AS, IN WIDER TERMS, WITH ALL THE NEW INPUTS COMING FROM THOSE FIELDS OF STUDY, RESEARCH AND COMMUNICATION THAT IN DIFFERENT WAYS DEAL WITH DIGITAL HUMANITIES.
LEARNING SKILLS: STUDENTS WILL BE LED TO PRDOUCE NEW CONSIDERATIONS AND IDEAS RELATING TO DIGITAL HUMANITES, TO BE ESPECIALLY PROMOTED, USED AND TESTED IN THE FIELDS OF THEIR FUTURE WORK ACTIVITIES.

	Prerequisites
	FULL REVISION OF THE CONTENT OF THE THREE-YEAR DEGREE COURSES IN GENERAL LINGUISTICS.

	Contents
	THE COURSE WILL START FROM THE FIRST EXAMPLES OF DIGITAL HUMANITIES RELATED TO CRYPTOGRAPHY AND CRYPTOANALYSIS, TO CONCLUDE WITH EXTENSIVE ANALYZES ON ARTIFICIAL INTELLIGENCE AND ITS RELATIONSHIP WITH NATURAL LANGUAGE. PARTICULAR IMPORTANCE WILL ALSO BE GIVEN TO DISCIPLINES AND ISSUES RELATING TO AUTOMATIC TRANSLATION, COMPUTATIONAL STATISTICS, THE RELATIONSHIP BETWEEN THE WEB AND NATURAL LANGUAGE, NATURAL LANGUAGE PROCESSING, HUMAN-MACHINE INTERFACES, MACHINE LEARNING, SEMANTIC WEB, KNOWLEDGE MANAGEMENT, KNOWLEDGE MANAGEMENT SYSTEM, KNOWLEDGE REPRESENTATION, KNOWLEDGE EXTRACTION, FUZZY LOGIC, QUANTUM COMPUTERS AND ROBOTICS.

Contents

THE COURSE WILL START FROM THE FIRST EXAMPLES OF DIGITAL HUMANITIES RELATED TO CRYPTOGRAPHY AND CRYPTOANALYSIS, TO CONCLUDE WITH EXTENSIVE ANALYZES ON ARTIFICIAL INTELLIGENCE AND ITS RELATIONSHIP WITH NATURAL LANGUAGE. PARTICULAR IMPORTANCE WILL ALSO BE GIVEN TO DISCIPLINES AND ISSUES RELATING TO AUTOMATIC TRANSLATION, COMPUTATIONAL STATISTICS, THE RELATIONSHIP BETWEEN THE WEB AND NATURAL LANGUAGE, NATURAL LANGUAGE PROCESSING, HUMAN-MACHINE INTERFACES, MACHINE LEARNING, SEMANTIC WEB, KNOWLEDGE MANAGEMENT, KNOWLEDGE MANAGEMENT SYSTEM, KNOWLEDGE REPRESENTATION, KNOWLEDGE EXTRACTION, FUZZY LOGIC, QUANTUM COMPUTERS AND ROBOTICS.

	Teaching Methods
	LEXTURES AND CLASSROOM EXERCISES

	Verification of learning
	THE PROFIT EXAMINATION IS ORAL, CONSISTING OF AN INTERVIEW, WITH QUESTIONS AND ANALYSES ON THE THEORETICAL AND METHODOLOGICAL CONTENT INDICATED IN THE PROGRAM, AS WELL AS ON AN APPLICATION RESEARCH PROJECT, DEVELOPED INDEPENDENTLY BY THE STUDENTS. THE PURPOSE IS TO ASSESS NOT ONLY THE LEVEL OF KNOWLEDGE AND UNDERSTANDING REACHED BY THE STUDENTS, BUT ALSO THE ABILITY TO EXPOSE THE TOPICS WITH THE APPROPRIATE TERMINOLOGY.

Verification of learning

THE PROFIT EXAMINATION IS ORAL, CONSISTING OF AN INTERVIEW, WITH QUESTIONS AND ANALYSES ON THE THEORETICAL AND METHODOLOGICAL CONTENT INDICATED IN THE PROGRAM, AS WELL AS ON AN APPLICATION RESEARCH PROJECT, DEVELOPED INDEPENDENTLY BY THE STUDENTS. THE PURPOSE IS TO ASSESS NOT ONLY THE LEVEL OF KNOWLEDGE AND UNDERSTANDING REACHED BY THE STUDENTS, BUT ALSO THE ABILITY TO EXPOSE THE TOPICS WITH THE APPROPRIATE TERMINOLOGY.