Luigi TROIANO | ARTIFICIAL INTELLIGENCE APPLICATIONS
Luigi TROIANO ARTIFICIAL INTELLIGENCE APPLICATIONS
cod. 0222100173
ARTIFICIAL INTELLIGENCE APPLICATIONS
| 0222100173 | |
| DEPARTMENT OF MANAGEMENT & INNOVATION SYSTEMS | |
| EQF7 | |
| BUSINESS MANAGEMENT AND CONSULTING | |
| 2024/2025 |
| OBBLIGATORIO | |
| YEAR OF COURSE 1 | |
| YEAR OF DIDACTIC SYSTEM 2023 | |
| SPRING SEMESTER |
| SSD | CFU | HOURS | ACTIVITY | |
|---|---|---|---|---|
| INF/01 | 6 | 30 | LESSONS |
| Exam | Date | Session | |
|---|---|---|---|
| TROIANO | 10/12/2024 - 11:00 | SESSIONE ORDINARIA | |
| TROIANO | 10/12/2024 - 11:00 | SESSIONE DI RECUPERO |
| Objectives | |
|---|---|
| GENERAL OBJECTIVE THE COURSE HAS THE OBJECTIVE OF INTRODUCING THE STUDENT TO AI APPLICATIONS IN THE ENTERPRISE FIELD, LOOKING AT THE DIFFERENT COMPANY AREAS AND PROCESSES IN ORDER TO UNDERSTAND THE TRANSFORMATIVE CAPACITY OF NEW TECHNOLOGIES RELATED TO ARTIFICIAL INTELLIGENCE. KNOWLEDGE AND ABILITY TO UNDERSTAND DURING THE COURSE, THE STUDENT: - YOU WILL LEARN THE BASIC TERMINOLOGY AND THE DIFFERENT METHODS AT THE BASIS OF MODERN AI - WILL UNDERSTAND THE RELATIONSHIP BETWEEN DATA AND MODELS - WILL DEVELOP KNOWLEDGE ABOUT THE SCOPE OF APPLICABILITY OF THE DIFFERENT TECHNIQUES ABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING THE STUDENT WILL BE ABLE TO: - TRANSLATING BUSINESS NEEDS IN TERMS OF DEMAND FOR INNOVATION WITH AI - EXAMINE A PROBLEM AND DETERMINE A POSSIBLE SOLUTION CENTERED ON AI - DEVELOP A POSSIBLE INTERVENTION STRATEGY FOR THE APPLICATION OF AI IN THE CORPORATE ENVIRONMENT - SOLVE CHANGE MANAGEMENT PROBLEMS RELATED TO THE INTRODUCTION OF AI INDEPENDENCE OF JUDGMENT THE STUDENT WILL BE ABLE TO: - SOLVE PROBLEMS AND MAKE DECISIONS; - ASSESS THE DYNAMICS OF TRAINING, OPERATION AND SUSTAINABLE CHANGE OF THE COMPANY; - FORMULATE REPORTS AND ASSESSMENTS ON THE BASIS OF LIMITED OR INCOMPLETE INFORMATION COMMUNICATION SKILLS THE STUDENT WILL BE ABLE TO: - COMMUNICATE USING COMPUTER TOOLS; - TRANSMIT IDEAS, PROBLEMS AND SOLUTIONS; - COMMUNICATE WITH STAKEHOLDERS. LEARNING ABILITY THE STUDENT WILL BE ABLE TO: - PROCEED INDEPENDENTLY IN UPDATING KNOWLEDGE; - EVALUATE THE CONTINUATION OF YOUR EDUCATION IN THE UNIVERSITY AND OTHERS. |
| Prerequisites | |
|---|---|
| FOR THE PROFITABLE ATTAINMENT OF THE PREFIXED OBJECTIVES AND' RECOMMENDED A PREVIOUS KNOWLEDGE OF BASIC CONCEPTS OF THE COMPUTER SCIENCE |
| Contents | |
|---|---|
| OBJECTIVE: TO INTRODUCE STUDENTS TO AI APPLICATIONS WITHIN THE ENTERPRISE FIELD, EXPLORING VARIOUS COMPANY AREAS AND PROCESSES TO UNDERSTAND THE TRANSFORMATIVE CAPABILITIES OF NEW AI-RELATED TECHNOLOGIES. COURSE OUTLINE: LECTURE 1 (3H): INTRODUCTION TO AI AND BUSINESS APPLICATIONS AN OVERVIEW OF AI, ITS EVOLUTION, CURRENT TRENDS, AND SUCCESSFUL IMPLEMENTATIONS IN VARIOUS ENTERPRISES. LECTURE 2 (3H): AI IN CUSTOMER SERVICE EXPLORATION OF AI-POWERED CHATBOTS, VIRTUAL ASSISTANTS, NLP, SENTIMENT ANALYSIS, AND THEIR IMPACT ON CUSTOMER SUPPORT. LECTURE 3 (3H): AI IN MARKETING AND SALES EXAMINATION OF PREDICTIVE ANALYTICS, PERSONALIZATION, RECOMMENDATION SYSTEMS, AND AI-DRIVEN MARKETING CAMPAIGNS. LECTURE 4 (3H): AI IN SUPPLY CHAIN AND LOGISTICS INSIGHTS INTO AI APPLICATIONS FOR DEMAND FORECASTING, INVENTORY MANAGEMENT, ROUTE OPTIMIZATION, AND PREDICTIVE MAINTENANCE. LECTURE 5 83H): AI IN FINANCE AND ACCOUNTING DISCUSSION ON FRAUD DETECTION, AUTOMATED FINANCIAL REPORTING, INVESTMENT ANALYSIS, AND AI'S ROLE IN FINANCIAL SERVICES. LECTURE 6 (3H): AI IN HUMAN RESOURCES ANALYSIS OF AI TOOLS FOR TALENT ACQUISITION, PERFORMANCE MONITORING, EMPLOYEE DEVELOPMENT, AND HR MANAGEMENT. LECTURE 7 (3H): AI IN PRODUCT DEVELOPMENT OVERVIEW OF AI IN R&D, MACHINE LEARNING FOR PRODUCT DESIGN, TESTING, AND AI-DRIVEN INNOVATION PROCESSES. LECTURE 8 (3H): AI IN OPERATIONS AND AUTOMATION STUDY OF ROBOTIC PROCESS AUTOMATION, WORKFLOW OPTIMIZATION, INTELLIGENT PROCESS AUTOMATION, AND OPERATIONAL EFFICIENCY. LECTURE 9 (3H): AI ETHICS AND GOVERNANCE EXAMINATION OF ETHICAL CONSIDERATIONS, GOVERNANCE FRAMEWORKS, REGULATORY COMPLIANCE, AND MANAGING AI RISKS. LECTURE 10 (3H): FUTURE TRENDS AND CAREERS IN AI EXPLORATION OF EMERGING AI TECHNOLOGIES, THEIR IMPACT ON JOB MARKETS, NECESSARY SKILLS FOR AI CAREERS, AND OPPORTUNITIES IN EMERGING INDUSTRIES. |
| Teaching Methods | |
|---|---|
| THE COURSE USES A VARIETY OF TEACHING METHODS TO ENSURE COMPREHENSIVE AND ENGAGING LEARNING, PROVIDING AN IN-DEPTH UNDERSTANDING OF AI APPLICATIONS IN THE BUSINESS FIELD. INTERACTIVE FRONTAL LECTURES, SUPPORTED BY MULTIMEDIA PRESENTATIONS WITH SLIDES AND VIDEOS, EXPLAIN KEY CONCEPTS OF ARTIFICIAL INTELLIGENCE AND ITS APPLICATIONS IN ENTERPRISES, HELPING TO BETTER UNDERSTAND THE THEORY THROUGH CONCRETE EXAMPLES. OPEN DISCUSSIONS STIMULATE CRITICAL THINKING AND ALLOW STUDENTS TO EXPRESS OPINIONS AND SHARE EXPERIENCES. THE ANALYSIS OF CASE STUDIES OFFERS A PRACTICAL VIEW OF REAL AI IMPLEMENTATIONS IN VARIOUS COMPANIES, CONNECTING THEORY AND PRACTICE AND DEVELOPING PROBLEM-SOLVING SKILLS. THESE DISCUSSIONS ALSO PROMOTE COLLABORATION AND TEAMWORK, ESSENTIAL FOR FACING THE CHALLENGES OF THE MODERN BUSINESS WORLD. |
| Verification of learning | |
|---|---|
| THE EXAM CONSISTS OF A WRITTEN TEST DESIGNED TO ASSESS THE STUDENT'S ABILITY TO APPLY METHODOLOGIES AND ADDRESS CHALLENGES IN DEFINING AN AI-BASED BUSINESS APPLICATION. THE WRITTEN TEST IS IN MULTIPLE CHOICE FORMAT AND COVERS IN A HOMOGENEOUS WAY ALL THE TOPICS COVERED DURING THE LESSONS. THE SCORE OF THE TEST WILL CONTRIBUTE TO DETERMINING THE FINAL MARK, WITH EACH CORRECT ANSWER GIVING +1 POINT, WHILE EACH INCORRECT ANSWER WILL RESULT IN A MAXIMUM PENALTY OF -0.5 POINTS. ANSWERS NOT GIVEN WILL COUNT 0. STUDENTS MUST ANSWER AT LEAST HALF MORE OF THE QUESTIONS TO PASS THE EXAM; OTHERWISE, THE TEST WILL BE CANCELLED. THE ALGEBRAIC SUM OF THE ANSWERS WILL DETERMINE THE FINAL MARK. THE MULTIPLE CHOICE FORMAT WAS PREFERRED BECAUSE IT EFFECTIVELY ALIGNS WITH THE OBJECTIVES OF THE COURSE, ENSURING COMPLETE COVERAGE OF ALL TOPICS COVERED AND ASSESSING STUDENTS' UNDERSTANDING OF ESSENTIAL CONCEPTS IN BUSINESS APPLICATIONS OF AI, BOTH THEORETICAL AND PRACTICAL. THIS METHOD ENCOURAGES LEARNING BY COVERING A WIDE RANGE OF TOPICS AND OFFERS AN OBJECTIVE AND IMPARTIAL ASSESSMENT THROUGH UNIFORM COVERAGE OF TOPICS AND WITH A CLEAR SCORING SYSTEM, THUS REDUCE THE EVALUAR'S SUBJECTIVITY TO A MINIMIZE. THIS APPROACH ENSURES A BALANCED ASSESSMENT OF STUDENT PERFORMANCE. |
| Texts | |
|---|---|
| HANDOUTS PROVIDED BY THE TEACHER |
| More Information | |
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| REGULAR FREQUENCY IS REQUIRED FOR THE COURSE ACCORDING TO THE CRITERIA DEFINED BY THE DIDACTIC AREA. |
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