Cohort 2017/18: 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	Advanced Algorithms and Graph Mining	6	INF/01
	Data Mining and Organization	12	INF/01
	Parallel Computing	6	ING-INF/05
II	Advanced Statistical Models – Mod. A	6	SECS-S/01
II	Data Security and Privacy	9	INF/01
Student's selection		24

II Year (57 CFU)
Semester	Courses	CFU	SSD
I	Bayesian Statistical Inference	9	SECS-S/01
	Machine Learning	9	ING-INF/05
II	Training	3
	Final exam: Thesis development	21
	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 24 CFU. These are distributed as follows: 21 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 2017/18 academic year:

List A
Semester	Courses	CFU	SSD
I	Advanced Programming Techniques	6	INF/01
	Analysis of Algorithms and Data Structures (*)	6	INF/01
	Distributed programming for IoT	6	INF/01
	Web Mining (*)	6	INF/01
II	Data Warehousing	6	INF/01
II	Information Retrieval and Semantic Web Technologies	6	INF/01

Notes to List A: courses with (*) will be activated in 2018/19.

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
	Multivariate Analysis and Statistical Learning	6	SECS-S/01
	Statistics for Spatial Data	6	SECS-S/01
II	Advanced Statistical Models – Mod. B	6	SECS-S/01
II	Optimization of Complex Systems	6	MAT/09

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
II	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

17.05.2023

Corso di Laurea Magistrale in
Informatica

Cohort 2017/18: teaching activities and plan

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