Final Exam

A.Y. 2021/2022
21
Max ECTS
Language
Italian
Learning objectives
Methods and Applications in Computational Neuroscience introduces students to the computational and mathematical techniques that are used to address how the brain solves problems at levels of neural organization ranging from single membrane channels to operations of the entire brain.
Expected learning outcomes
At the end of the course the student will know:
1. Fundamentals of bioelectricity
2. Basics of synapses
3. How neurons communicate with each other
4. How interconnected neurons in neuronal circuits interact with each other
5. Formalize biological facts into mathematical models
6. Neural modeling and networks: learning, training, and dynamics
7. Artificial neural networks
8. Convolution neural networks
9. Deep learning and imaging
10. Numerical simulations and applications to different domains
Single course

This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.

Course syllabus and organization

Single session

More specific information on the delivery modes of training activities for academic year 2021/22 will be provided over the coming months, based on the evolution of the public health situation.
Course syllabus
All topics covered during the two years of study.
Prerequisites for admission
The student must have all the professional knowledge acquired by all the exams foreseen in the study plan. In particular, the student is admitted to the final exam after having successfully passed the examinations of all the training and stage or internship activities provided for in the study plan, for a total of 102 CFU.
Teaching methods
The types of thesis are:
a) compilation thesis (or bibliography), which aims to analyze the state of the art on a topic through a narrative review of the literature;
b) experimental (or research) thesis, which aims to perform a detailed experimental project in all its aspects (sample size, outcome measurements, statistical analysis);
c) argumentative thesis, which does not collect experimental data but nevertheless establishes the methodology (sample size, outcome measurements, statistical analysis) to respond to an experimental question.
In the preparation of the thesis the student will be supervised by a professor of the CdS, who will play the role of Promoter, and by an eventual Co-promoter, that can be part or not of the University of Milan.
The oral dissertation of the thesis is carried out in the presence of the jury, usually with a time limit not exceeding 15 minutes.
Evaluation of the final test:
According to the Teaching Regulations, the definition of the degree vote expressed in one hundred tenths (110) with possible Lode, is determined by:
- the weighted mean of the two-year curriculum
- 0 to 6 points for the compilation thesis or 0-8 points in case of experimental or argumentative thesis.
Teaching Resources
All the material already indicated to the student during the two years of course. For the written work, the student, under the guidance of the Speaker, will have to independently search for the bibliography related to the topic assigned for the written work.
Assessment methods and Criteria
The final exam consists in the drafting of an elaborate and its dissertation. The thesis will be discussed in front of a jury composed by a minimum of five members.
Usually, the degree sessions are held in June - July (first session) and in December (second session). It is also possible to organize a third degree session in September-October.
Students who choose the curriculum in Italian will be able to carry out their thesis in both Italian and English, while those who choose the curriculum in English will have to carry out the thesis in English.
- University credits: 21
Individual study and practice: 0 hours