Faculty of Mathematics and Computer Science

syllabi of the specialization: Artificial Intelligence for Connected Industries

academic year: 2026-2027

1st Semester

Subject Code ECTS credits Language Type Uploaded by Upload date
Compulsory courses
Academic ethics and integrity. methodology of scientific researchMME31504EnglishCompulsoryCoroiu Adriana01.05.2026
Artificial intelligence and machine learning for connected systemsMME82137EnglishCompulsoryMursa Bogdan28.05.2026
Operating systems and computer architecturesMME82146EnglishCompulsoryBufnea Darius28.06.2026
Operations researchABC12346EnglishCompulsorySuciu Mihai01.05.2026
Subjects for optional course 1
Contemporary economic issues – digital economy principlesMME82247EnglishOptionalRoja Alexandru01.05.2026
Advanced methods in data analysisMME80487EnglishOptionalPop Horia07.05.2026
Facultative courses
Fundamentals of humanities (argumentation theory)FEU000X3EnglishFacultativeLupsa Dana01.05.2026
Fundamentals of entrepreneushipFDAU00013RomanianFacultativePetrescu Manuela01.05.2026

2nd Semester

Subject Code ECTS credits Language Type Uploaded by Upload date
Compulsory courses
Distributed and federated learningMME82167EnglishCompulsoryMihoc Tudor26.05.2026
Complex networks: data analysis using network scienceMME82187EnglishCompulsoryChira Camelia22.05.2026
Parallel and distributed systems – models in parallel programmingMME82337EnglishCompulsoryNiculescu Virginia01.05.2026
Control system theory and engineering courseMME82176EnglishCompulsoryThu Hang Bui01.05.2026
Subjects for optional course 1
Data mining and knowledge discoveryMME81837EnglishOptionalCoroiu Adriana01.05.2026
Computer system modeling and verification – software qualityMME82327EnglishOptionalMotogna Simona01.05.2026
Subjects for optional course 2
Robot predictive maintenanceMME82293EnglishOptionalMihoc Tudor26.05.2026
Next-generation ieee 802.11 standardsMME82263EnglishOptionalMihoc Tudor26.05.2026
Peer-to-peer systems and blockchain - blockchain securityMME82347EnglishOptionalCraciun Florin01.05.2026
Subjects for optional course 3
Data mining and knowledge discoveryMME81837EnglishOptionalLimboi Sergiu01.05.2026

3rd Semester

Subject Code ECTS credits Language Type Uploaded by Upload date
Compulsory courses
Advanced machine learningMME82197EnglishCompulsoryDiosan Laura13.05.2026
Learning robotsMME82207EnglishCompulsoryMuresan Horea14.05.2026
Subjects for optional course 4
Applied artificial intelligenceMME82353EnglishOptional14.05.2026
Applications of ai to cyberthreat managementMME82403EnglishOptional14.05.2026
Ai4ci activities: from research to businessMME82423EnglishOptional14.05.2026
Ai4ci activities: from research to businessMME82423EnglishOptionalMihoc Tudor30.05.2026
Applications of ai to cyber-threat managementMME82403EnglishOptionalMihoc Tudor30.05.2026
Applied artificial intelligenceMME82353EnglishOptionalMihoc Tudor30.05.2026
Subjects for optional course 5
Embedded systems: applications and cybersecurity - computational models for embedded systemsMME82457EnglishOptionalVescan Andreea14.06.2026
Embedded systems: applications and cybersecurity - computational models for embedded systemsMME82457EnglishOptional14.05.2026
Business process modeling - strategic business process automationMME82467EnglishOptional14.05.2026
Network virtualization and automationMME82477EnglishOptional14.05.2026

4th Semester

Subject Code ECTS credits Language Type Uploaded by Upload date
Compulsory courses
Internship in specializationMME901220EnglishCompulsoryChira Camelia22.05.2026
Research project in artificial intelligence for connected industriesMME82226EnglishCompulsoryChira Camelia22.05.2026
Elaboration of the dissertation thesisMME30424EnglishCompulsoryChira Camelia22.05.2026