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AIDC (2026 - 2028)

Curriculum

The semester structure keeps the curriculum grouped by mandatory, elective, and optional subjects. Expand a row to inspect hours, subject type, linked learning outcomes, and any public syllabus.

Semester 1

Credits: 30 | Total hours/week: 15

Mandatory subjects

Distributed Systems
6 credits
Lecture 2 Seminar 0 Lab 1 Practical 0 Kind DF
Fundamentals Of Artificial Intelligence
6 credits
Lecture 2 Seminar 0 Lab 1 Practical 0 Kind DF
Research Ethics
2 credits
Lecture 1 Seminar 0 Lab 0 Practical 0 Kind DC
Methodology Of Research Activity
4 credits
Lecture 0 Seminar 0 Lab 2 Practical 0 Kind DF

Elective subjects

6 credits
Advanced Logic and Functional Programming
Lecture 2 Seminar 0 Lab 1 Practical 0 Kind DS
C48
Data Analysis and Programming In R
Lecture 2 Seminar 0 Lab 1 Practical 0 Kind DS
Introduction To Cybersecurity. Prevention, Detection and Mitigation Techniques
Lecture 2 Seminar 0 Lab 1 Practical 0 Kind DS
Operations Research and Optimization
Lecture 2 Seminar 0 Lab 1 Practical 0 Kind DS
6 credits
Architectures For Parallel Computing
Lecture 2 Seminar 0 Lab 1 Practical 0 Kind DS
Distributed Methods and Technologies Based On Xml
Lecture 2 Seminar 0 Lab 1 Practical 0 Kind DS
Dynamical Systems In Machine Learning
Lecture 2 Seminar 0 Lab 1 Practical 0 Kind DS
Cryptography and Information Security
Lecture 2 Seminar 0 Lab 1 Practical 0 Kind DS

Optional subjects

Programming I
6 credits
Lecture 2 Seminar 0 Lab 2 Practical 0 Kind DF
Operating Systems I
5 credits
Lecture 2 Seminar 0 Lab 2 Practical 0 Kind DF
Volunteering I (60h)
2 credits
Lecture 0 Seminar 0 Lab 0 Practical 4 Kind DC
(no linked learning outcomes)

Semester 2

Credits: 30 | Total hours/week: 14

Mandatory subjects

Academic and Technical Writing
6 credits
Lecture 1 Seminar 0 Lab 2 Practical 0 Kind DF
Research Stage
6 credits
Lecture 0 Seminar 0 Lab 2 Practical 0 Kind DS

Elective subjects

6 credits
Multi-agent Systems
Lecture 2 Seminar 0 Lab 1 Practical 0 Kind DS
Devsecops
Lecture 2 Seminar 0 Lab 1 Practical 0 Kind DS
Term Rewriting
Lecture 2 Seminar 0 Lab 1 Practical 0 Kind DS
6 credits
Cloud Security
Lecture 2 Seminar 0 Lab 1 Practical 0 Kind DS
Data Mining
Lecture 2 Seminar 0 Lab 1 Practical 0 Kind DS
Parallel Computing
Lecture 2 Seminar 0 Lab 1 Practical 0 Kind DS
Automated Theorem Proving
Lecture 2 Seminar 0 Lab 1 Practical 0 Kind DS
6 credits
Special Topics In Artificial Intelligence
Lecture 2 Seminar 0 Lab 1 Practical 0 Kind DS
Modeling and Verifying Algorithms In Coq
Lecture 2 Seminar 0 Lab 1 Practical 0 Kind DS
A3
Big Data Technologies
Lecture 2 Seminar 0 Lab 1 Practical 0 Kind DS

Optional subjects

Logical and Functional Programming
4 credits
Lecture 2 Seminar 0 Lab 2 Practical 0 Kind DS
(no linked learning outcomes)
Programming II
6 credits
Lecture 2 Seminar 0 Lab 3 Practical 0 Kind DS
Volunteering II (60h)
2 credits
Lecture 0 Seminar 0 Lab 0 Practical 4 Kind DC
(no linked learning outcomes)

Semester 3

Credits: 30 | Total hours/week: 14

Mandatory subjects

Techniques For Scientific Work
8 credits
Lecture 1 Seminar 0 Lab 3 Practical 0 Kind DS
Machine Learning
8 credits
Lecture 2 Seminar 0 Lab 2 Practical 0 Kind DS

Elective subjects

7 credits
Computer Vision
Lecture 2 Seminar 0 Lab 1 Practical 0 Kind DS
Resource Management In Distributed and Parallel Systems
Lecture 2 Seminar 0 Lab 1 Practical 0 Kind DS
Advanced Neuroscience
Lecture 2 Seminar 0 Lab 1 Practical 0 Kind DS
C4
Computer Virology
Lecture 2 Seminar 0 Lab 1 Practical 0 Kind DS
Metaheuristic Algorithms
Lecture 2 Seminar 0 Lab 1 Practical 0 Kind DS
7 credits
Text Mining
Lecture 2 Seminar 0 Lab 1 Practical 0 Kind DS
Introduction To Quantum Computing
Lecture 2 Seminar 0 Lab 1 Practical 0 Kind DS
Penetration Testing
Lecture 2 Seminar 0 Lab 1 Practical 0 Kind DS
Computational Game Theory
Lecture 2 Seminar 0 Lab 1 Practical 0 Kind DS
Algorithm Synthesis and Mathematical Theory Exploration
Lecture 2 Seminar 0 Lab 1 Practical 0 Kind DS
R15

Optional subjects

Volunteering III (60h)
2 credits
Lecture 0 Seminar 0 Lab 0 Practical 4 Kind DC
(no linked learning outcomes)

Semester 4

Credits: 30 | Total hours/week: 25

Mandatory subjects

Research Practice
8 credits
Lecture 0 Seminar 0 Lab 3 Practical 11 Kind DS
Msc Thesis Preparation
15 credits
Lecture 0 Seminar 0 Lab 8 Practical 0 Kind DS
Scientific Seminar
7 credits
Lecture 0 Seminar 0 Lab 3 Practical 0 Kind DS

Elective subjects

(no elective groups)

Optional subjects

Volunteering IV (60 H)
2 credits
Lecture 0 Seminar 0 Lab 0 Practical 4 Kind DC
(no linked learning outcomes)