Cohort 2020/21: teaching activities and plan

The details of the educational activities are shown below, extracted from the Student Guide. Details on individual courses are available on the Teachings page.

I Year (63 CFU)
Semester	Courses	CFU	SSD
I
	Data Mining and Organization	12	INF/01
	Parallel Computing	6	ING-INF/05
II	Algorithms and Programming for Massive Data	6	INF/01
	Advanced Statistical Models – Mod. A	6	SECS-S/01
	Data Security and Privacy	9	INF/01
Student's selection		24

II Year (57 CFU)
Semester	Courses	CFU	SSD
I	Machine Learning	9	ING-INF/05
	A course between: Bayesian Statistics (II sem.) Multivariate Analysis and Statistical Learning (I sem.)	6	SECS-S/01
II	Training	3
	Final exam: Thesis development	24
	Final exam: Thesis defence	3
Student's selection		12

Activities for the preparation and presentation of the final exam i.e., the graduation Thesis, sum to a total of 27 CFU. These are distributed as follows: 24 are devoted to research work, and 3 CFU for the writing and discussion of the Thesis. Additionally, 3 CFU are devoted to training.

For both Year I and Year II, students have the possibility to select courses of their choice, provided that such courses are complementary to the knowledge already possessed by the student. These courses shall be selected as follows:

12 credits must be chosen from those listed in A.
6 credits must be chosen from those listed in B.
6 credits must be chosen from those listed in C.
12 credits may be chosen from those in List A, B or C or any other course from the University of Florence, as long as these are compatible to the curriculum. These CFU may also include teachings from Bachelor degrees.

The following tables show the courses that will be activated for the 2020/21 academic year:

LIST A
Semester	Courses	CFU	SSD
I
	Analysis of Algorithms and Data Structures	6	INF/01
	Distributed Programming for IoT	6	INF/01
II	Advanced Programming Techniques	6	INF/01
	Computer Forensics	6	INF/01
	Computer Science Education	6	INF/01
	Data Warehousing	6	INF/01
	Information Retrieval and Semantic Web Technologies	6	INF/01
	Web Mining	6	INF/01

LIST B
Semester	Courses	CFU	SSD
I	Introduction to Statistical Modelling	6	SECS-S/01
	Fundamentals of Operational Research	6	MAT/09
	Optimization Methods	6	MAT/09
	Statistics for Spatial Data	6	SECS-S/01
II	Advanced Statistical Models – Mod. B	6	SECS-S/01
	Optimization of Complex Systems	6	MAT/09
	Stochastic Processes	6	MAT/06

Notes to List B: the Introduction to Statistical Modeling course is designed for students who have insufficient training in the SECS-S / 01 sector to deal with the compulsory course Advanced Statistical Models - Mod. A.

LIST C
Semester	Courses	CFU	SSD
I	Elements of Numerical Calculus	6	MAT/08
I	Numerical Methods for Graphics	6	MAT/08

Notes to List C: the Elements of Numerical Calculus course is designed for students who have insufficient basic preparation in the MAT / 08 field and in particular should NOT be chosen by students from the Bachelor's Degree in Computer Science of the University of Florence.

last update: 06-May-2022

Share on Facebook Twitter LinkedIn