The current curriculum of the József Hatvany Doctoral School for full- and part-time students
A minimum of eight (8) subjects must be taken as part of the doctoral program, which must be completed with a successful examination. The enrollment of the 8 subjects must follow a set of rules.
In addition to the 8 subjects, further subjects may be taken if justified by the subject area, but credits can only be awarded for at most 12 subjects.
Training plan for students starting from or after September 2026
- Students must take two compulsory foundation courses, two of which are in mathematics and two in computer science.
- At least one (1) subject must be taken in each topic area as prescribed for that topic area (or from among the compulsory elective subjects). This subject summarises the most important theoretical foundations of the topic area.
- At least one (1) subject must be taken from each topic group as prescribed for that topic group (or from the compulsory elective subjects). This subject summarises the most important theoretical foundations of the topic group.
- Two (2) additional subjects may be freely chosen from among all subjects announced by the Doctoral Council of the Discipline.
Training plan for students who started before September 2026
- Students must take four compulsory foundation courses, two of which are in mathematics and two in computer science.
- At least one (1) subject must be taken in each topic area as prescribed for that topic area (or from among the compulsory elective subjects). This subject summarises the most important theoretical foundations of the topic area.
- At least one (1) subject must be taken from each topic group as prescribed for that topic group (or from the compulsory elective subjects). This subject summarises the most important theoretical foundations of the topic group.
- Two (2) additional subjects may be freely chosen from among all subjects announced by the Doctoral Council of the Discipline.
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Course code |
Course name |
Course coordinator |
Type |
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I. Fundamentals of Mathematics and Computer Science (for students starting from or after 2026 September) |
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Mathematics |
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Discrete Mathematics 1 |
Dr. Jenő Szigeti |
For students who started in or after 2026 September: Elective (only one subject is mandatory) |
For students who started before 2026 September: Compulsory (both subjects are mandatory) |
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Logic for Mathematics with Applications |
Dr. Sándor Radeleczki | |||
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Computer Science |
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Theory of Algorithms |
For students who started in or after 2026 September: Elective (only one subject is mandatory |
For students who started before 2026 September: Compulsory (both subjects are mandatory) |
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GEIAL401-a |
Paradigms of Programming |
Dr. Péter Mileff | ||
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Optional |
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GEMAN402-a | Modern Analysis | Dr. Judit Tóthné Makó | Optional | |
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GEMAN403-a | Discrete Mathematics 2 | Dr. Jenő Szigeti | ||
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Course code |
Course name |
Course coordinator |
Type |
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I. Fundamentals of Mathematics and Computer Science (for students who started before 2026 September) |
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Paradigms of Programming |
Compulsory |
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Theory of Algorithms |
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Discrete Mathematics 1 |
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Logic for Mathematics with Applications |
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Modern Analysis |
Optional |
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Discrete Mathematics 2 |
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Course code |
Course name |
Course coordinator |
Type |
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II. Applied Computational Science (topic area) |
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Differential and Integral Equations |
Elective |
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Ontology-Based Information Models |
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Parallel Algorithms |
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Modern Analysis |
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Computer Simulation of Deterministic Physical Processes |
Optional |
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Computer Simulation of Chaotic Physical Processes |
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Understanding the Physics of the Hardware |
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Knowledge Storing and Reasoning Methods in Expert Systems |
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Distributed Algorithms |
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Parallel and Distributed Systems |
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Graph Neural Networks with Applications |
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Fuzzy Systems |
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Software Defined Networking |
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Nature-Inspired Optimization Algoritms |
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Numerical Methods I. |
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Numerical Methods II. |
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Methods of Optimization |
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Stochastic Methods |
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Modelling of Internet with Random Graphs |
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Dominant Sets of Graphs and their Applications |
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GOA Sets of Graphs and their Technical Applications |
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NP-complete Problems in Graph Theory |
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Proofs in the Graph Theory with Computer |
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Lattices, Concept Lattices and Fuzzy Methods |
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Continuum Mechanics |
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Boundary Element Method |
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Finite Element Method |
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Data and knowledge bases, knowledge-intensive systems (topic group) |
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Theory and Practice of Data-Mining |
Compulsory |
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Computational intelligence (topic group) |
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Computational Intelligence |
Compulsory |
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Computer graphics and geometric modelling (topic group) |
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Modeling of Curves and Surfaces |
Compulsory |
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Course code |
Course name |
Course coordinator |
Type |
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III. Production Informatics, Measurement and Control Information Systems (topic area) |
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Theory of Production Systems and Processes |
Compulsory |
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Advanced and Intelligent Control Systems |
Optional |
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Speech Information Systems |
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System on Chip Design and Modelling Methods |
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Telecommunication in Control Engineering |
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Embedded Systems and Architecture |
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Electronic Systems and Metrology |
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Computerized Measuring Systems |
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Computer Aided Electronic Design |
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Informatics of computer integrated manufacturing (topic group) |
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Modeling of Manufacturing Processes |
Compulsory |
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Measurement and control information systems (topic group) |
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Control Engineering Information Systems |
Compulsory |
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Course code |
Course name |
Course coordinator |
Type |
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IV. Material Flow Systems, Information Technology of Logistics (topic area) |
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Theory of Material Flow Systems |
Compulsory |
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Theory of Logistics Systems |
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Information Technology of Logistics |
Optional |
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Logistics of Quality Assurance, Product Logistics |
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Recycling Logistics |
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Global Logistics |
Dr. Péter Veres |
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Storage Systems |
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Mathematical Models of Logistics |
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Simulation of Material Flow and Logistics |
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Transportation-Forwarding |
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Standardization in Industrial and Logistics Systems |
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Traceability Systems in Logistics |
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Information system for planning and designing material handling systems (topic group) |
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Procurement and Distribution Logistics |
Compulsory |
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Production Logistics |
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Information system for the operation, management and controlling of material flow systems (topic group) |
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Logistics of Manufacturing Systems |
Compulsory |
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Service Logistics |
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Course code |
Course name |
Course coordinator |
Type |
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V. Other Optional Courses |
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GEGEDMOB1-a |
Mobility 1. |
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GEGEDMOB2-a |
Mobility 2. |
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Modern Search of the Literature and Publication |
Optional |
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Research Methodology for Technicians |
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Art of Doing Science |
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Course code |
Course name |
Notes |
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VI. Subjects related to research and teaching activity, other requirements |
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GEALTRP[n]-a GEIAKRP[n]-a GEIALRP[n]-a GEMANRP[n]-a GEVAURP[n]-a GEVEERP[n]-a |
Research Project |
The course coordinator is the supervisor of the PhD student. The course code depends ont he department and the current semester. In this table, [n] denotes the current semester (ranging from 1 to 8), for example, pl. GEMANRP4-a, Research Project Semester 4 Compulsory |
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GEGEDHJDTszOT[n]-a |
Educational Activity at Department |
In this table, [n] denotes the current semester (ranging from 1 to 8). |
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GEGEDHJDKutSzem[n]-a |
Report at Seminar of Doctoral School |
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GEGEDHJDKutPublT[n]-a |
Research Publication Activity |
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GEGEDHJDKomplVizsga-a |
Complex Exam |
Compulsory |
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GEGEDHJDKorTanBesz-a |
Rating of Former Studies |
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GEGEDHJDMuhVita-a |
Scientific Workshop |
Compulsory |