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Curriculum Life statistics: for students enrolled a.y. 2018-19

Classes will be held in the following terms: First term (from 16/09 to 18/10/2019); Second term (from 11/11 to 13/12/2019); P (from 16/09 to 13/12/2019); Third term (from 17/02 to 20/03/2020); Fourth term (from 20/04 to 22/05/2020); S (from 17/02 to 22/05/2020). Lesson Hours: 4 ECTS (CFU) = 24; 6 ECTS (CFU) = 30; 10 ECTS (CFU) = 60.

First Year

1. Learning activities

Period ? The period in which lectures are held 1: 16/09/2019 - 31/10/2019 2: 11/11/2019 - 20/12/2019 3: 17/02/2020 - 27/03/2020 4: 20/04/2020 - 29/05/2020 P: 16/09/2019 - 20/12/2019 S: 17/02/2020 - 29/05/2020 CT1: 11/11/2019 - 18/12/2019 CT2: 20/02/2020 - 05/06/2020 CTE: 08/11/2019 - 05/06/2020 ssd ? Disciplinary-scientific area to which the learning activity belongs cfu ? Credits
87451 TIME-TO-EVENT DATA ANALYSIS 3 SECS-S/05 6
65644 Human Genetics 4 BIO/18 6
85159 Fundamental Concepts of Statistics P SECS-S/01 10
85166 Statistical Software P 4
87479 SOCIAL DEMOGRAPHY S SECS-S/04 10
85160 Statistical Models and Applications S SECS-S/01 10

2. One activity to be chosen between: (6 CFU)

Period ? The period in which lectures are held 1: 16/09/2019 - 31/10/2019 2: 11/11/2019 - 20/12/2019 3: 17/02/2020 - 27/03/2020 4: 20/04/2020 - 29/05/2020 P: 16/09/2019 - 20/12/2019 S: 17/02/2020 - 29/05/2020 CT1: 11/11/2019 - 18/12/2019 CT2: 20/02/2020 - 05/06/2020 CTE: 08/11/2019 - 05/06/2020 ssd ? Disciplinary-scientific area to which the learning activity belongs cfu ? Credits
85162 Differential Calculus 2 SECS-S/06 6
85161 Measure Theory 3 SECS-S/06 6

3. Crash course

Period ? The period in which lectures are held 1: 16/09/2019 - 31/10/2019 2: 11/11/2019 - 20/12/2019 3: 17/02/2020 - 27/03/2020 4: 20/04/2020 - 29/05/2020 P: 16/09/2019 - 20/12/2019 S: 17/02/2020 - 29/05/2020 CT1: 11/11/2019 - 18/12/2019 CT2: 20/02/2020 - 05/06/2020 CTE: 08/11/2019 - 05/06/2020 ssd ? Disciplinary-scientific area to which the learning activity belongs cfu ? Credits
87457 CRASH COURSE IN STATISTICS - Not available for the year  2019/2020
Lessons: 14 hours
C SECS-S/01 0

Second Year

1. Learning activities

Period ? The period in which lectures are held 1: 16/09/2019 - 31/10/2019 2: 11/11/2019 - 20/12/2019 3: 17/02/2020 - 27/03/2020 4: 20/04/2020 - 29/05/2020 P: 16/09/2019 - 20/12/2019 S: 17/02/2020 - 29/05/2020 CT1: 11/11/2019 - 18/12/2019 CT2: 20/02/2020 - 05/06/2020 CTE: 08/11/2019 - 05/06/2020 ssd ? Disciplinary-scientific area to which the learning activity belongs cfu ? Credits
85173 ANALYSIS OF CATEGORICAL DATA 1 SECS-S/01 6
87484 ADVANCED SURVIVAL ANALYSIS 2 SECS-S/01 6
85182 BAYESIAN INFERENCE 2 SECS-S/01 6
85278 METHODS AND TOOLS FOR HEALTH STATISTICS 3 SECS-S/05 6
87480 DEMOGRAPHIC ANALYSIS P SECS-S/04 10

2. Electives (10 CFU)

The degree programme suggests the following courses, together with those activated in the framework of the UNIBO (students can only choose courses taught in English). These subjects can be chosen at the 1 and the 2 year.
Period ? The period in which lectures are held 1: 16/09/2019 - 31/10/2019 2: 11/11/2019 - 20/12/2019 3: 17/02/2020 - 27/03/2020 4: 20/04/2020 - 29/05/2020 P: 16/09/2019 - 20/12/2019 S: 17/02/2020 - 29/05/2020 CT1: 11/11/2019 - 18/12/2019 CT2: 20/02/2020 - 05/06/2020 CTE: 08/11/2019 - 05/06/2020 ssd ? Disciplinary-scientific area to which the learning activity belongs cfu ? Credits
82522 Internship
250 hours
1 10
92517 SEM. STATISTICS FOR (FUZZY) SET-VALUED DATA 1 SECS-S/01 3
85167 SURVEY SAMPLING 2 SECS-S/01 6
73387 Creativity and Innovation M
available places: 50
CT2 3
85169 Differential Equations 2 MAT/05 6
92346 Information Literacy in English - Bologna CT2 3
81799 Project Management and Soft Skills M
available places: 50
CT2 3
92663 SEM. ECONOMETRICS OF LIMITED DEPENDENT AND QUALITATIVE VARIABLES 2 SECS-S/01 3
85168 DISCRETE MATHEMATICS 4 MAT/02 6
85171 Experimental Psychology 4 M-PSI/01 6
94451 SEM. MACHINE LEARNING AND BIG DATA IN R: THEORY AND APPLICATIONS 4 SECS-S/01 3
94452 SEM. PYTHON FOR ANALYTICS 4 SECS-S/01 3
85172 Systems and Algorithms for Data Science P ING-INF/05 10
85170 Computational Human Genomics S BIO/08 6

3. Final examination (24 CFU)

For those students who carry out an internship for the preparation for the final examination or the preparation for the final examination in Italy or abroad, the final examination will be divided in 2 parts: final examination and internship/preparation for the final examination in Italy or abroad.
Period ? The period in which lectures are held 1: 16/09/2019 - 31/10/2019 2: 11/11/2019 - 20/12/2019 3: 17/02/2020 - 27/03/2020 4: 20/04/2020 - 29/05/2020 P: 16/09/2019 - 20/12/2019 S: 17/02/2020 - 29/05/2020 CT1: 11/11/2019 - 18/12/2019 CT2: 20/02/2020 - 05/06/2020 CTE: 08/11/2019 - 05/06/2020 cfu ? Credits
86301 Final Examination 1 12
84551 Internship Abroad for Preparation for the Final Examination
300 hours
1 12
84549 Internship for Preparation for the Final Examination
300 hours
1 12
33024 MASTER THESIS 1 24
84548 Preparation for the Final Examination Abroad 1 12