Artificial Intelligence and Distributed Computing (AIDC)
Program profile
Detalii
The aim of the program is to provide:
- a perspective on different areas of theoretical and applied artificial intelligence
- knowledge on machine learning models and the design of efficient and robust intelligent systems
- knowledge on automated reasoning and formal models used in software modelling and verification
- knowledge on cloud technologies and platforms
- skills in implementing and using distributed and parallel algorithms in a wide range of application areas
Who can apply?
The target group consists of graduates in Computer Science, Mathematics, Applied Mathematics, Computer Engineering, Information Technology, as well as other scientific or engineering programs.
What topics are studied?
- Operational Research and Optimization, Machine Learning, Metaheuristic Algorithms
- Automated Reasoning, Term Rewriting, Special Topics in Artificial Intelligence, Algorithms Modelling and Verification
- Data Analysis, Data Mining, Computer Vision
- Multi-agent Systems, Distributed Systems, Workflow Technologies, Parallel Computing, Big Data Technologies
Career opportunities
The graduates can apply for various positions in IT companies, in education or research:
- AI Data Analyst/ AI Engineer
- Cloud Software Developer/ Cloud Engineer
- Data Science Analyst
- Machine Learning Engineer
- Academic/Industry Researcher
Academic curriculum
Course descriptions
Year I
Semestrul 1
ADVANCED LOGICAL FUNCTIONAL PROGRAMMING
ARCHITECTURES FOR PARALLEL COMPUTING
DATA ANALYSIS IN R
DISTRIBUTED SYSTEMS
ETICĂ ȘI INTEGRITATE ACADEMICĂ
OPERATIONS RESEARCH AND OPTIMIZATION
Semestrul 2
AUTOMATED THEOREM PROVING
DATA MINING
MODELLING AND VERIFYING ALGORITHMS IN Coq
MULTI-AGENT SYSTEMS
NETWORK SECURITY MODELS AND ARCHITECTURES
PARALLEL COMPUTING
TERM REWRITING
Year II
Semestrul 3
ALGORITHM SYNTHESIS AND MATHEMATICAL THEORY EXPLORATION
COMPUTER VISION
DISTRIBUTED METHODS AND TECHNOLOGIES BASED ON XML
MACHINE LEARNING
METAHEURISTIC ALGORITHMS
RESEARCH PRACTICE
RESOURCE MANAGEMENT IN DISTRIBUTED AND PARALLEL SYSTEMS
SPECIAL TOPICS IN ARTIFICIAL INTELLIGENCE
TECHNIQUES FOR SCIENTIFIC WORK
Semestrul 4
RESEARCH PRACTICE
SCIENTIFIC SEMINAR
THESIS PREPARATION