PhD in Computer Science Engineering (PhD-CS)

Hatvany József  Doctoral School for Computer Science and Engineering

The doctoral school offers the opportunity to pursue a doctoral degree to those with a master’s degree who are interested in research and development in applied and theoretical computer science. For this purpose, the most relevant master programs in the faculty are Computer Science Engineering, Production Information Engineering, Electrical Engineering, and Logistics Engineering.

The doctoral school deals with three main topic areas:

The doctoral program can be undertaken a course-based structure or independently.

The Department of Information technology and the Department of  Applied Mathematics & Analysis supervise Applied Computer Science area.

The Department of Information Engineering and the Department of Automation & Electrical and Electronic Engineering are responsible for Information Science for Production Engineering area.

Furthermore, Material flow Systems area is the responsibility of the Department of Materials Handling and Logistics.

Ph.D. candidates who are interested in dealing with the programs mentioned above at the József Hatvany Doctoral School For Computer Science and Engineering are required to fulfill the theoretical basics, which are necessary and fundamental to pursue with the research work as their professional task. The potential candidates might accomplish the doctoral study in four years time which accounts for eight semesters.

During the training and research period in the first four semesters the PhD student participates in theoretical and practical training related to the selected research topic, collects information in order to establish the topic of the dissertation and performs literature review. Hereby, the doctoral student can create the basic conditions for his original research with new scientific results, and makes substantive research work with the research infrastructure. The PhD student presents his results in the reporting system of the Doctoral School and in the publicly available publication possibilities.

Therefore in this training and research part the obtainable credits can be connected to these activities. In the following subchapters the details of this system are described according to the main scope of the activities.

The doctoral program is a 4-year program consisting of two periods both having a length of two years. The first two years stage (study-research phase) is a course-based period; the students must take courses to acquire the professional knowledge in Information Science and Mathematics. At the end of the study-research phase, there is a Complex Exam. During the four study-research semesters, students should acquire 95 credits to be able to take the complex exam. The exam relates to two selected courses passed by the student, to the research activity of the first period and the proposed research plan of the second period. The second period of the program is devoted to the research activity. In the second phase, the research - dissertation period, the main goal is to publish high-quality papers on the selected research work.

Participation in education It is recommended in the first four semesters. The departments cannot require more than 4 contact lessons per week. If the PhD student would be involved in more teaching activity the supervisor should discuss it with the head of the topic group and topic field, and the permission of the Council of the Doctoral School is necessary. This educational activity should be based on contract.

Course list

The students have to take up an elective course-unit consisting of four major subjects, where after passing the exams they can acquire the professional knowledge in information science and Mathematics. Furthermore, students should complete the selective subject (minimum two) during the study period. Minimum 8 subjects have to be taken. (It depends on the previous trainings and the selected topic. The Council of the Doctoral School may require further subjects if the supervisor, the head of the topic group or the topic field propose.)

Based on the requirement of the chosen course, further theoretical foundation subjects can be taken up within or in addition to the block called Optional Subjects (minimum two).

The students are required to take optional fundamental subjects from the offered list for their interested topic, and to pass exams.  It gives a chance to the potential students to acquire the theoretical knowledge of the chosen (research) area in the application.

The other complementary sub-task, which is so important, is to publish and develop the research work which the candidate has achieved during the academic period.

The attendance of the PhD students is obligatory during the regular Research Seminars organized by the Doctoral School. After the elaboration of the professional materials determined by the supervisor the doctoral student presents the results in the Seminar, focusing on the main objectives and their critical analysis, including the future steps, too.  The PhD student has to make minimum 2, maximum 4 research seminar reports in the four semesters of the training and research period

Credit rules*

The doctoral students should attain 240 credit points, which are as follows.

*The students should refer to the Table of Credit points policy and rules attached to this documents concerning the fulfillment of 240 credit points.

Important remark: All the accepted publications must be registered/recorded in the Hungarian MTMT information system (URL: www.mtmt.hu). Otherwise, the doctoral school committee can not recognize them as an accomplishment for the required credit points.

The quality requirements of the publications for the doctoral degree are as follows

Credits from publications and professional lectures

Type of the publication PhD program
Book  
published in abroad 25 credits
published in Hungary in foreign language 20 credits
published in native language: 15 credits
Book chapter 3-6 credits
Article in edited book 4 credits
University educational book 4 credits
University study-aid 2 credits
Journal article  
Journal paper in foreign language referred by Scopus, Web of Science 12 credits
Peer-reviewed journal paper in foreign language published in abroad 9 credits
Peer-reviewed journal paper in foreign language published in Hungary 7 credits
Peer-reviewed journal paper in native language 4 credits
In case of journals with impact factor +2 credits
Conference proceedings in foreign language  
Peer-reviewed proceeding published in abroad 7 credits
Peer-reviewed proceeding published in Hungary 5 credits
Peer-reviewed proceeding in native language 3 credits
Research report if the candidate is the topic leader 2 credits
Professional scientific lectures, posters  
In foreign language 4 credits
In native language 3 credits
Patent  
Submitted  
Foreign patent 7 credits
National patent 5 credits
Accepted  
Foreign patent 12 credits
National patent 9 credits
In case of more countries further +2 credits

 

The credits for software, design, instrument, equipment etc. are determined by Council of the Doctoral School. In case of co-authors the credits are shared in the rate of authors. (The supervisor should not be considered within the co-authors).

Course LIST

Hatvany József Doctoral School for Computer Science and Engineering

Area codesTF: Theoretical Foundations, ACS: Applied Computer Science, TR: Information Science for Production Engineering, LR: Material Flow Systems

Area code NEPTUN Code Title Institute
TF GEMAN401 Discrete Mathematics I Mathematics
TF GEMAK416 Theory of Algorithms Mathematics
TF GEMAN421 Matchematical Logic with Applications Mathematics
TF GEIAL401 Paradigms of Programming Informatics
ACS GEMAN411 Differential and Integral Equations Mathematics
ACS GEIAL424 Ontology Management Systems Informatics
ACS GEMAK409 Paralel algorithms Mathematics
ACS GEMAK406 Complexity of Algorithms Mathematics
ACS GEMAN403 Discrete Mathematics II Mathematics
ACS GEMAN402 Modern Analysis Mathematics
ACS GEMAK411 Numerical Methods I Mathematics
ACS GEIAL421 Theory and technology of data mining Informatics
ACS GEIAL407 Distributed and Parallel Systems Informatics
ACS GEMAN422 Lattices, Concept Lattices and Fuzzy Systems Mathematics
ACS GEAGT401 Computer aided curve and surface modelling Mathematics
ACS GEIAL403 Operating Systems Informatics
ACS GEMAK404 Information and Coding Theory Mathematics
ACS GEMAK413 Optimization Theory Mathematics
ACS GEMAK412 Numerical methods  II. Mathematics
ACS GEAHT411 Numerical Methods in Fluid and Heat Engineering Fluid and Heat Engineering
ACS GEFIT411 Computer Simulation of Physical Processes Physics
ACS GEVGT425 Optimization of Structures Chemical Machinery
ACS GEMAN424 Methods for Differential Equations Mathematics
ACS GEMAN425 Methods for Nonlinear Differential Equations Mathematics
ACS GEMAN426 Numerical Methods for Differential Algebraic Equations Mathematics
ACS GEIAL402 Distribuited Algorithms Informatics
ACS GEIAL415 Grid Systems Informatics
ACS GEMAK414 Stochastic Methods Mathematics
ACS GEIAKX1 Programming of Graphical Processors Informatics
       
ACS GEIALX1 Graphical Algorithms in Game Development Informatics
ACS GEIAL432 Soft Computing Informatics
ACS GEIAL481 Nature Inspired Optimization Methods Informatics
ACS GEIAL?? Szoftver Defined Networks Informatics
ACS GEIAK433 Knowledge Representation and Reasoning Methods of Expert Systems Informatics
ACS GEVGT990N Methodology of Publicaton Process Chemical Machinery
ACS GEMAK420 Cryptography Mathematics
ACS GEIAL456 Fuzzy Systems Informatics
TR GEIAK401 Theory of Manufacturing  Processes and Systems Informatics
       
TR GEIAK405 Principles, Models and Methods in Computer Integrated Manufacturing Informatics
TR GEIAK406 Computerized Production Planning and Control Informatics
TR GEIAK407 Theory of Computer Aided Production Control Informatics
TR GEIAK403 Modelling of Manufacturing Processes Informatics
TR GEIAK408 Numerical Control of Machine Tools Informatics
TR GEIAK415 Computer optimisation of gears mating Informatics
TR GEVAU401 Information Systems in Control Engineering Aurtomation Technology
       
TR GEVAU415 Telecommunication in Control Systems Aurtomation Technology
       
TR GEVAU460 Embedded Systems and Architektures Aurtomation Technology
       
TR GEVAU413 System on chip design and modelling methods Aurtomation Technology
       
TR GEVAU404 Speech Information Systems Aurtomation Technology
       
TR GEVAU402 Intelligent Controlling Aurtomation Technology
       
TR GEVEE405 Elekt Electronic systems and metrology Electrical Engineering
TR GEVEE412 Computer aided measurement systems Electrical Engineering
TR GEVEE413 Computer aided electronic design Electrical Engineering
TR GEVEE414 Electromagnetic Compatibility (EMC) Electrical Engineering
TR GEVEE415 Power Electronics Electrical Engineering
TR GEVEE416 Electric Servo Drives Electrical Engineering
TR GEVEE417 Electrical modeling and simulation Electrical Engineering
LR GEALT408 Theory of Material Handling Systems Materials Handling and Logistics
LR GEALT410 Mathematical Models of Logistics Materials Handling and Logistics
LR GEALT411 Theory of Logistics Materials Handling and Logistics
LR GEALT412 Beszerzési és elosztási logisztika Materials Handling and Logistics
LR GEALT413 Logistic of Supply Systems Materials Handling and Logistics
LR GEALT414 Logistic of Production Systems Materials Handling and Logistics
LR GEALT415 Logistic of Service Systems Materials Handling and Logistics
LR GEALT416 Logistics of Quality Assurance, Product Logistic Materials Handling and Logistics
LR GEALT417 Recycling Logistics Materials Handling and Logistics
LR GEALT418 Global Logistics Materials Handling and Logistics
LR GEALT419 Storage Systems Materials Handling and Logistics
LR GEALT420 Mathematical Models of Logistics Materials Handling and Logistics
ACS GEMAK40 Combinatorical Algorithms Mathematics
TR GEIAK403 Modelling of Producrion Processes Informatics
TR GEVEE418 Automotive electrics and -electronics Electrical Engineering
LR GEALT422 Simulation in Material Flow and Logistics Materials Handling and Logistics
LR GEALT423 Transportation-Forwarding Materials Handling and Logistics