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Study plan curr. A91 DATA SCIENCE for students enrolled in a.y. 2018/19

Classes will be held in the following terms: First term (from 18/09 to 22/10/2018); Second term (from 05/11 to 07/12/2018); P (from 18/09 to 07/12/2018); Third term (from 18/02 to 23/03/2019); Fourth term (from 15/04 to 24/05/2019); S (from 15/02 to 24/05/2019). 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: 18/09/2018 - 26/10/2018 2: 05/11/2018 - 13/12/2018 3: 18/02/2019 - 29/03/2019 4: 15/04/2019 - 01/06/2019 C: 10/09/2018 - 14/09/2018 P: 18/09/2018 - 13/12/2018 S: 18/02/2019 - 01/06/2019 ssd ? Disciplinary-scientific area to which the learning activity belongs cfu ? Credits
87451 TIME-TO-EVENT DATA ANALYSIS 2 SECS-S/05 6
85164 Nonparametric Statistics 3 SECS-S/01 6
85159 Fundamental Concepts of Statistics P SECS-S/01 10
85166 Statistical Software P 4
85189 Systems and Algorithms for Data Science P ING-INF/05 10
85160 Statistical Models and Applications S SECS-S/01 10
85163 Stochastic Processes and Advanced Time Series S SECS-S/01 10

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

Period ? The period in which lectures are held 1: 18/09/2018 - 26/10/2018 2: 05/11/2018 - 13/12/2018 3: 18/02/2019 - 29/03/2019 4: 15/04/2019 - 01/06/2019 C: 10/09/2018 - 14/09/2018 P: 18/09/2018 - 13/12/2018 S: 18/02/2019 - 01/06/2019 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: 18/09/2018 - 26/10/2018 2: 05/11/2018 - 13/12/2018 3: 18/02/2019 - 29/03/2019 4: 15/04/2019 - 01/06/2019 C: 10/09/2018 - 14/09/2018 P: 18/09/2018 - 13/12/2018 S: 18/02/2019 - 01/06/2019 ssd ? Disciplinary-scientific area to which the learning activity belongs cfu ? Credits
87457 CRASH COURSE IN STATISTICS
Lessons: 14 hours
C SECS-S/01 0

Second Year

1. Learning activities

Period ? The period in which lectures are held 1: 18/09/2018 - 26/10/2018 2: 05/11/2018 - 13/12/2018 3: 18/02/2019 - 29/03/2019 4: 15/04/2019 - 01/06/2019 C: 10/09/2018 - 14/09/2018 P: 18/09/2018 - 13/12/2018 S: 18/02/2019 - 01/06/2019 ssd ? Disciplinary-scientific area to which the learning activity belongs cfu ? Credits
87482 MODERN STATISTICS AND BIG DATA ANALYTICS - Not available for the year  2018/2019 1 SECS-S/01 6
85173 ANALYSIS OF CATEGORICAL DATA 1 SECS-S/01 6
85177 LATENT VARIABLE MODELS 1 SECS-S/01 6
85175 BAYESIAN INFERENCE 2 SECS-S/01 6

2. 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: 18/09/2018 - 26/10/2018 2: 05/11/2018 - 13/12/2018 3: 18/02/2019 - 29/03/2019 4: 15/04/2019 - 01/06/2019 C: 10/09/2018 - 14/09/2018 P: 18/09/2018 - 13/12/2018 S: 18/02/2019 - 01/06/2019 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

3. 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: 18/09/2018 - 26/10/2018 2: 05/11/2018 - 13/12/2018 3: 18/02/2019 - 29/03/2019 4: 15/04/2019 - 01/06/2019 C: 10/09/2018 - 14/09/2018 P: 18/09/2018 - 13/12/2018 S: 18/02/2019 - 01/06/2019 ssd ? Disciplinary-scientific area to which the learning activity belongs cfu ? Credits
82522 Internship
250 hours
1 10
85167 SURVEY SAMPLING 2 SECS-S/01 6
85170 Computational Human Genomics 2 BIO/08 6
85169 Differential Equations 2 MAT/05 6
87481 ADVANCED SURVIVAL ANALYSIS 3 SECS-S/05 6
85168 DISCRETE MATHEMATICS 4 MAT/02 6
85171 Experimental Psychology 4 M-PSI/01 6