Matteo GAETA | DECISION SUPPORT SYSTEMS
Matteo GAETA DECISION SUPPORT SYSTEMS
cod. 0622700077
DECISION SUPPORT SYSTEMS
| 0622700077 | |
| DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE ED ELETTRICA E MATEMATICA APPLICATA | |
| EQF7 | |
| COMPUTER ENGINEERING | |
| 2022/2023 |
| YEAR OF COURSE 2 | |
| YEAR OF DIDACTIC SYSTEM 2017 | |
| AUTUMN SEMESTER |
| SSD | CFU | HOURS | ACTIVITY | |
|---|---|---|---|---|
| ING-INF/05 | 3 | 24 | LESSONS | |
| ING-INF/05 | 3 | 24 | EXERCISES |
| Objectives | |
|---|---|
| THE COURSE PRESENTS THE METHODOLOGIES AND THE TECHNOLOGIES THAT ARE NEEDED FOR GATHERING, STORING, ANALYZING LARGE AMOUNTS OF DATA, WITH PARTICULAR REFERENCE TO DATA WAREHOUSES AND DECISION SUPPORT SYSTEMS. THE FUNDAMENTAL PRINCIPLES OF DECISION MAKING ARE ALSO COVERED. KNOWLEDGE AND UNDERSTANDING: METHODOLOGIES AND TECHNOLOGIES FOR GATHERING AND STORING LARGE AMOUNTS OF DATA TO PERFORM ANALYSIS AND PREDICTION OPERATIONS, AIMED AT SUPPORTING THE DECISION-MAKING BOTH AT SHORT AND AT MEDIUM AND LONG TERM. APPLYING KNOWLEDGE AND UNDERSTANDING: USING SOFTWARE TOOLS FOR THE REALIZATION OF APPLICATIONS THAT PROCESS LARGE AMOUNTS OF DATA AND THAT ALLOWS ADOPTING TECHNIQUES FOR THE ANALYSIS, MODELING, AND PREDICTION TO SUPPORT DECISIONS. |
| Prerequisites | |
|---|---|
| FOR THE SUCCESSFUL ACHIEVEMENT OF THE OBJECTIVES, PRIOR KNOWLEDGE OF DATABASES IS RECOMMENDED. |
| Contents | |
|---|---|
| TEACHING-LEARNING UNIT 1: INTRODUCTION TO THE FUZZY LOGIC. (LECTURE/PRACTICE/LABORATORY HOURS 5/7/0). - 1 (2 HOURS LECTURE): ARISTOTLE’S LOGIC AND SCIENTIFIC METHOD; INTRODUCTION TO FUZZY LOGIC. - 2 (3 HOURS LECTURE): BASIC CONCEPTS, FUZZY SETS AND LINGUISTIC VARIABLES. - 3 (2 HOURS PRACTICE): RELATIONS, RULES, FUZZY IMPLICATIONS AND PROCESS OF INFERENCE. - 4 (3 HOURS E PRACTICE): CASE STUDY - FUZZY CONTROL SYSTEM - SPEED CONTROL OF A CAR. - 5 (2 HOURS PRACTICE): CASE STUDY - FUZZY SIGNATURE. KNOWLEDGE AND UNDERSTANDING: UNDERSTANDING OF THE FUNDAMENTAL THEME OF UNCERTAINTY AND OF THE BASIC CONCEPTS OF FUZZY LOGIC. APPLYING KNOWLEDGE AND UNDERSTANDING: ABILITY TO SOLVE PROBLEMS, CONSIDERING NUANCED ASPECTS OF REALITY IN LARGE AMOUNTS OF DATA, APPLYING FUZZY LOGIC-BASED METHODS AND TECHNIQUES. TEACHING-LEARNING UNIT 2: DECISION MAKING AND GROUP DECISION MAKING. (LECTURE/PRACTICE/LABORATORY HOURS 7/8/0). - 8 (2 HOURS LECTURE): DECISION MAKING AND GROUP DECISION MAKING (GDM). - 9 (3 HOURS PRACTICE): CASE STUDY - CONSENSUS MODEL - CHOICE OF A PURCHASE OFFER. - 10 (2 HOURS LECTURE): MENTAL PROCESSES; MENTAL MODELS, SCHEMES AND SCRIPTS; COGNITIVE BIAS. - 11 (3 HOURS PRACTICE): CASE STUDY – DATE AND CONTEXT ATRIBUTE IN DECISION MAKING - CONTEXT SPACE THEORY. - 12 (3 HOURS LECTURE): BASIC CONCEPTS OF DECISION THEORY. - 13 (2 HOURS PRACTICE): CASE STUDY - ANALYSIS OF COMPETING HYPHOTESES (ACH) - EVALUATE HYPOTHESES IN THE CONTEXT OF DECISION-MAKING PROCESSES. KNOWLEDGE AND UNDERSTANDING: ACQUIRE KNOWLEDGE ABOUT THE FUNDAMENTAL ELEMENTS OF DECISION-MAKING PROCESSES AND BASIC TECHNIQUES USEFUL FOR UNDERSTANDING DECISION-MAKING CONTEXTS. APPLYING KNOWLEDGE AND UNDERSTANDING: KNOWING HOW TO ANALYZE DECISION-MAKING PROBLEMS, EVALUATE AND SELECT HYPOTHESES AND INDICATORS AND KNOW HOW TO APPLY BASIC TECHNIQUES TO UNDERSTAND SITUATIONS AND SUPPORT INFORMED DECISIONS. TEACHING-LEARNING UNIT 3: MANAGEMENT INFORMATION SYSTEMS AND LARGE DATA BASES. (LECTURE/PRACTICE/LABORATORY HOURS 14/7/0). - 14 (2 HOURS LECTURE): THE ENTERPRISE AND THE PORTER VALUE CHAIN. - 15 (3 HOURS LECTURE): BUSINESS PROCESSES E KPI. - 16 (3 HOURS LECTURE): DATA BASES AND DATA WAREHOUSE - DATA WAREHOUSING AND ETL. - 17 (3 HOURS LECTURE): ENTERPRISE DATA WAREHOUSE - ELEMENTS OF A DW / BI SYSTEM; ARCHITECTURAL APPROACH: INMON VS KIMBALL. - 18 (3 HOURS LECTURE): DIMENSIONAL MODELING: ORGANIZATION, BUSINESS PROCESSES, DIMENSIONAL MODELS AND SCHEMES. - 19 (2 HOURS PRACTICE): CASE STUDY: THE DIMENSIONAL MODEL - IDENTIFYING, FACTS, MEASURES AND DIMENSIONS. - 21 (2 HOURS PRACTICE): CASE STUDY: ETL. - 22 (3 HOURS PRACTICE): CASE STUDY: DESIGN AND DEVELOPMENT OF A DIMENSIONAL SCHEME - THE CASE OF THE SUPERMARKET. KNOWLEDGE AND UNDERSTANDING: ACQUIRE KNOWLEDGE RELATED TO: DATA WAREHOUSE; SIZE MODEL; SOFTWARE TOOLS TO DESIGN DATA-DRIVEN DECISION SUPPORT SYSTEMS. APPLYING KNOWLEDGE AND UNDERSTANDING: KNOWING HOW TO DEFINE A DIMENSIONAL MODEL (MEASURES, FACTS, CONTEXTS AND DIMENSIONS) IN REAL SITUATIONS AND CARRY OUT DECISION-MAKING ANALYZES STARTING FROM LARGE AMOUNTS OF DATA. TOTAL (LECTURE/PRACTICE/LABORATORY HOURS 26/22/0). |
| Teaching Methods | |
|---|---|
| THE COURSE IS CHARACTERIZED BY A SOLID AND RIGOROUS SETTING REGARDING THE FUNDAMENTALS OF THE DECISION MAKING AND THE DESIGN ON DECISION SUPPORT SYSTEMS AND BY A DYNAMIC APPROACH, WITH MANY CASE STUDIES, FOR WHAT CONCERNS THE DSS AND THE DATABASES. REGARDING THE DESIGN OF DSS, THERE WILL BE MOMENTS FOR THE DISCUSSION AND DEPTH STUDY OF ISSUES RELATED TO THE IMPACT OF THE ICT IN THE ENTERPRICES. IN PARTICULAR, THE COURSE INCLUDES 48 HOURS OF LESSON OF WHICH 26 HOURS OF LECTURE, 22 CLASSROOM EXERCISES. THE LECTURES WILL BE HELD WITH THE AID OF VIDEO PROJECTIONS (SLIDES). THE EXERCISES WILL BE AIMED AT THE EXPLANATION OF THE DESIGN METHODS OF SOFTWARE SOLUTIONS WITH THE USE OF DATA BASES. IN ORDER TO PARTICIPATE TO THE FINAL ASSESSMENT AND TO GAIN THE CREDITS CORRESPONDING TO THE COURSE, THE STUDENT MUST HAVE ATTENDED AT LEAST 70% OF THE HOURS OF ASSISTED TEACHING ACTIVITIES. |
| Verification of learning | |
|---|---|
| THE LEVEL OF ACHIEVEMENT OF THE TEACHING OBJECTIVES IS CERTIFIED BY PASSING AN EXAM WITH ASSESSMENT IN THIRTIES. THE FINAL EXAMINATION WILL BE CARRIED OUT THROUGH AN INDIVIDUAL ORAL INTERVIEW AND THE CARRYING OUT EXCERCISES. THE ORAL EXAMINATION AIMS AT VERIFYING THE KNOWLEDGE RELATED TO THE ARGUMENTS OF THE COURSE AND FORESEES THE EXECUTION OF EXERCISES ON THE DESIGN OF DIMENSIONAL SCHEMAS OF DATA WAREHOUSE AND THE USE OF DECISION-SUPPORT TECHNIQUES AND THE DISCUSSION ON THESE EXERCISES WITH REFERENCES TO THE ARGUMENTS OF THE COURSE AND IN PARTICULAR: DECISION SUPPORT TECHNIQUES AND BUSINESS PROCESSES, MODELS AND ARCHITECTURES OF DATA WAREHOUSES AND DSS PRESENTED DURING THE COURSE. IT WILL BE EVALUATED, BESIDE THE ACCURACY OF THE ANSWERS AND THE RESOLUTION OF THE EXERCISES, ALSO THE SKILL OF THE LEARNER REGARDING THE PRESENTATION AND COMMUNICATION OF THE ANSWERS, THE SKILLS OF THE STUDENT TO MASTER THE LANGUAGE, THE METHODOLOGIES, AND THE TECHNIQUES USED IN THE REALIZATION OF THE EXERCISES. HONORS MAY BE ATTRIBUTED TO STUDENTS WHO PROVE THAT THEY HAVE EXCELLENT MASTERY OF THE COURSE CONTENT TOGETHER WITH THE ABILITY TO APPLY THE KNOWLEDGE ACQUIRED FOR THE RESOLUTION OF PROBLEMS NOT ADDRESSED DURING THE EXERCISES. |
| Texts | |
|---|---|
| REFERENCES TEXTS REZZANI A.; “BUSINESS INTELLIGENCE. PROCESSI, METODI, UTILIZZO IN AZIENDA”; APOGEO; 2012. M. GOLFARELLI, S. RIZZI; “DATA WAREHOUSE. TEORIA E PRATICA DELLA PROGETTAZIONE”; MCGRAW-HILL. G. BRACCHI, C. FRANCALANCI E G. MOTTA; “SISTEMI INFORMATIVI D’IMPRESA”; MCGRAW-HILL (CHAPTER 2; CHAPTER 6 AND CHAPTER 9). CONSULTATION TEXTS M. GOLFARELLI, S. RIZZI; “DATA WAREHOUSE DESIGN: MODERN PRINCIPLES AND METHODOLOGIES”; MCGRAW-HILL EDUCATION R. KIMBALL, M. ROSS; “THE DATA WAREHOUSE TOOLKIT: THE DEFINITIVE GUIDE TO DIMENSIONAL MODELING”; WILEY. P. ATZENI, S. CERI, P. FRATERNALI, S. PARABOSCHI, R. TORLONE; “BASI DI DATI – QUINTA EDIZIONE”; MCGRAW-HILL ITALIA ISBN: 9788838668005 (CHAPTER 17) DANIEL J. POWER; “DECISION SUPPORT SYSTEM: CONCEPTS AND RESOURCES FOR MANAGERS”; QUORUM. |
| More Information | |
|---|---|
| THE COURSE IS HELD IN ITALIAN. THE TEACHING MATERIAL IS AVAILABLE ON THE UNIVERSITY E-LEARNING PLATFORM ACCESSIBLE TO STUDENTS USING THEIR OWN UNIVERSITY CREDENTIALS. |
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