Explore the programs and courses offered by Master in Foundations and Engineering of Information and Imaging
Browse Programs Admission InformationSemester 01 :
BDA: Advanced Databases
PWA: Advanced Web Programming
AAC: Advanced Algorithms and Complexity
MS: Modeling and Simulation
SR: Distributed Systems
CP: Project Management
ANG 1: English 1
CDT: Corruption and Work Ethics
Semester 02 :
AA1: Machine Learning 1
IAA: Advanced Artificial Intelligence
ADD: Data Analysis
TIM1: Image Processing 1
BIO: Bioinformatics
AOB: Bio-inspired Optimization Algorithms
CSD: Data Compression and Security
CCA1: English Communication Skills 1
ELR: E-learning
Semester 03 :
AA2: Machine Learning 2
TIM2: Image Processing 2
RDF: Pattern Recognition
EBD: Data Warehouses and Big Data
SIG: Geographic Information Systems
TALN: Natural Language Processing
CCA2: English Communication Skills 2
AA2: Machine Learning 2
Semester 04 :
Internship in a company, assessed by a thesis and an oral defense.
BDA: Advanced Databases
PWA: Advanced Web Programming
AAC: Advanced Algorithms and Complexity
SR: Distributed Systems
AA1: Machine Learning 1
IAA: Advanced Artificial Intelligence
AA2: Machine Learning 2
TIM2: Image Processing 2
RDF: Pattern Recognition
AA2: Machine Learning 2
TIM2: Image Processing 2
RDF: Pattern Recognition
EBD: Data Warehouses and Big Data
SIG: Geographic Information Systems
TALN: Natural Language Processing
Current application of Articles 171 and 1023 of the decrees:
· The acquisition of skills and knowledge is evaluated every six months through continuous assessment and a final exam.
· Progression from the first to the second year is automatic if the student has passed the first two semesters of the training program.
· The student’s evaluation covers, according to the training program, lectures, practical work, tutorials, and internships.
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