Course descriptions for ERASMUS students
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Module |
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Title: |
Logistics |
Teacher: |
József GÁL |
Contact: |
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Level |
BSc |
Termin |
FALL (2 lessons a week) |
Module Aims |
Aim of the course is to introduce the logistics, basic definitions and terminology. Some practical aspects are also part of the subject. |
Module Subject |
Introduction to logistics: Setting the scene; Job in logistics; Regular activities |
Number of Credits |
4 |
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Module |
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Title: |
Automobile Industry |
Teacher: |
József GÁL |
Contact: |
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Level |
BSc |
Termin |
FALL (2 lessons a week) |
Module Aims |
Aim of the course is to introduce the automobile industry, management, design, safety, basic definitions and terminology. Some practical aspects are also part of the subject. |
Module Subject |
Introduction to the car: Factors involved in buying a car; Types of car; Car sales |
Number of Credits |
4 |
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Module |
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Title: |
Aviation |
Teacher: |
József GÁL |
Contact: |
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Level |
BSc |
Termin |
FALL (2 lessons a week) |
Module Aims |
Aim of the course is to introduce the aviation. Students learn about airport technology, passenger safety, ground movements and flying. Some practical aspects are also part of the subject. |
Module Subject |
Introduction to air communications: Setting the scene; Basics of radio communications; Introduction to non-routine situations |
Number of Credits |
4 |
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Module |
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Title: |
In Flight and on Board Services |
Teacher: |
József GÁL |
Contact: |
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Level |
BSc |
Termin |
FALL (2 lessons a week) |
Module Aims |
Aim of the course is to introduce in flight and on board services. Students learn about airport technology, passenger safety, ground movements and services during flight. Some practical aspects are also part of the subject. |
Module Subject |
Introduction to cabin crew: Career path, Responsibilities, People and places |
Number of Credits |
4 |
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Module |
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Title: |
Organization and Logistics of Tourism |
Teacher: |
József GÁL |
Contact: |
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Level |
BSc |
Termin |
FALL (2 lessons a week) |
Module Aims |
Aim of the course is to introduce European tourism. We focus on Central and Eastern European part of the continent. To know some rules and financial aspects. Students plan a journey and make a tourist guide for travel agencies and a short film. |
Module Subject |
Europe and tourism, The history of tourism in Europe, The history of modern tourism in Europe, Tourist regions in Europe, The European Union, Tourism policy in the European Union, Regional policy and tourism in the European Union, Tourism and euro, Transportation in Europe and its impact on tourism, Environmental and social concerns in European tourism, Business tourism in Europe, Marketing Europe as a tourist destination, Tourism in Central and Eastern Europe, New trends in the European tourist industry |
Number of Credits |
4 |
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Module |
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Title: |
Sales & Purchasing |
Teacher: |
József GÁL |
Contact: |
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Level |
BSc |
Termin |
FALL (2 lessons a week) |
Module Aims |
Aim of the course is to introduce in sales and purchasing in engineering. Students learn about how to buy and sell, manage trade in engineering. Some practical aspects are also part of the subject. |
Module Subject |
Job and responsibilities: Job titles and tasks, A sales meeting, A sales meeting, A requisition |
Number of Credits |
4 |
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Module |
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Title: |
Elements of Marketing |
Teacher: |
Edina VINCZE-LENDVAI |
Contact: |
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Level |
BSc |
Termin |
FALL (2 lessons a week) |
Module Aims |
Aim of the course is to learn more about marketing and advertising. Students have exercises how to use marketing tools in practice. Marketing and engineering. |
Module Subject |
Introduction to marketing and advertising: Jobs and responsibilities, Corporate identity, logos, Branding Finding the customer: Market research, Customer profiles, Data collection, A telephone survey Planning a marketing strategy: The marketing plan, The four Ps, Pricing and positioning strategies Creating ads: The AIDA model for advertising, Working with an ad agency, Advertising channels, Rate sheets Marketing tools: Distribution channels, Types of discount, Types of retailer, Telemarketing, Direct marketing Presenting your public face: Public relations, Websites as a marketing tool, Sponsoring, Effective press releases Marketing through trade fairs: Giveaways, Organizing events, Attending a trade fair |
Number of Credits |
4 |
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Module |
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Title: |
Customer care |
Teacher: |
József GÁL |
Contact: |
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Level |
BSc |
Termin |
FALL (2 lessons a week) |
Module Aims |
Aim of the course is to introduce in flight and on board services. Students learn about airport technology, passenger safety, ground movements and services during flight. Some practical aspects are also part of the subject. |
Module Subject |
Introduction to customer care: Customer care success, Customer care business and jobs, Surprising facts about customer care Face to face with customers: Body language, A company visit, Meeting do’s and don’ts, At a trade fair, The invisible customer Dealing with customers on the phone: General telephoning, The ‘customer care’ phone call, What the customers really hear Call center success: Taking an order, Hotline (Troubleshooting), Customer-centered call centers Delivering customer care through writing: Effective letters and emails, Format and informal writing styles, The five Cs of customer care writing, A case study Dealing with problems and complaints: Complaint strategies and policies, The letter of apology, Explaining company policy, Some opinions about complaints and apologies |
Number of Credits |
4 |
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Module |
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Title: |
Wastewater Treatment |
Teacher: |
Szabolcs KERTÉSZ |
Contact: |
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Level |
BSc |
Termin |
autumn or spring semester (2 lessons a week) |
Module Aims |
The aim of the course is to give general knowledge of wastewater treatment and utilization of waters, as well as wastewaters. An other aim of the course is to make students ready to be conversant the applied methods in wastewater treatment and different parts of the wastewater techniques and water quality analysis. |
Module Subject |
Importance of clean water |
Number of Credits |
4 |
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Module |
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Title: |
Biotechnology |
Teacher: |
Miklós KÁLMÁN |
Contact: |
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Level |
BSc |
Termin |
FALL (2 lessons a week) |
Module Aims |
Aim of the course is to introduce most important parts of biotechnology. |
Module Subject |
Definition of biotechnology, fundamentals of genetic engineering and recombinant DNA technology, mutagenesis, enzyme technology, biosensors, techniques of product recovery, factors affecting the fermentation and their controls, fermenter design and its control, biotechnological applications in food industry. |
Number of Credits |
4 |
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Module |
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Title: |
Sensory Analysis |
Teacher: |
Katalin A. HORVÁTHNÉ |
Contact: |
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Level |
BSc |
Termin |
FALL (2 lessons a week) |
Module Aims |
Aim of the course is to introduce most important parts of sensory analysis. |
Module Subject |
Principles of sensorial analysis, structure and roles of sensorial organs, selection and training of panelist, selection and application of sensorial methods for various foods, determination of sensory thresholds, statistical evaluation of sensorial data, descriptive analysis and application on food product design, innovation of sensorial analysis. |
Number of Credits |
4 |
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Module |
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Title: |
Business & Management |
Teacher: |
József GÁL |
Contact: |
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Level |
BSc |
Termin |
FALL (2 lessons a week) |
Module Aims |
Aim of the course is to introduce terminology and most important parts of business & management. |
Module Subject |
Industrial plant, enterprise, enterpriser and manager, subject of business, administration and scientific administration, selection of profession, enterprising and management, market conditions and production factors, production costs, plant sizes, plant location, juridical organization of plants, internal organization of plants, order, supervising and functional authority, centralization and delegation of authority, principles of organization, financial policies and sources. |
Number of Credits |
4 |
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Module |
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Title: |
Food Preservation Techniques |
Teacher: |
Cecilia HODÚR, Zsuzsanna LÁSZLÓ |
Contact: |
, |
Level |
BSc |
Termin |
FALL (2 lessons a week) |
Module Aims |
Aim of the course is to introduce most important parts of food preservation techniques. |
Module Subject |
Principles of food protection, protection of food by heating, evaporation, chilling, freezing, chemical preservation techniques, bio-preservation, new techniques used in food protection such as pulsed electric field, high pressure processing, x-rays, pulsed light, ozone, microwave, radio waves, and applications. |
Number of Credits |
4 |
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Module |
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Title: |
Meat and Meat Products Technology |
Teacher: |
Ferenc ESZES |
Contact: |
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Level |
BSc |
Termin |
FALL (2 lessons a week) |
Module Aims |
Aim of the course is to introduce most important parts of meat products technology. |
Module Subject |
Physical, chemical, microbiological and histological characteristics of meat, conversion of muscle to meat, preservation methods; meat refrigeration and freezing technologies, meat processing technologies; curing, smoking, emulsification, fermentation, canning, restructured meat products, meat packaging technology, quality control analysis in meat and meat products. |
Number of Credits |
4 |
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Module |
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Title: |
Molecular Biology and Genetic |
Teacher: |
József SOÓS, Miklós KÁLMÁN |
Contact: |
, |
Level |
BSc |
Termin |
FALL (2 lessons a week) |
Module Aims |
Aim of the course is to introduce most important parts of molecular biology and genetic. |
Module Subject |
Introduction to molecular biology, structure and organization of DNA and RNA, evaluation and replication of plasmid, virus, chromosomal DNA's, Protein synthesis, Role of genes on protein synthesis, natural genetic recombination systems, applications of recombinant DNA techniques and protein engineering, introduction to genetic engineering, development of industrial properties of microorganisms by genetic manipulation, genetically modified organisms (GMO) and foods. |
Number of Credits |
4 |
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Module |
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Title: |
Cereal and Cereal Products Technology |
Teacher: |
Erzsébet MARKOVICS, Balázs P. SZABÓ |
Contact: |
, |
Level |
BSc |
Termin |
FALL (2 lessons a week) |
Module Aims |
Aim of the course is to introduce most important parts of cereal production. |
Module Subject |
Physical and chemical properties of cereal, cereal quality criteria, storage of cereal, milling of cereal, flour quality criteria, rheology and chemistry of dough, bread making technology, macaroni production technology, biscuit production technology, bulgur production technology, breakfast cereals and snack food technology, quality control analyses in cereals and cereal products. |
Number of Credits |
4 |
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Module |
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Title: |
Cheese Technology |
Teacher: |
József CSANÁDI |
Contact: |
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Level |
BSc |
Termin |
FALL (2 lessons a week) |
Module Aims |
Aim of the course is to introduce most important parts of cheese technology. |
Module Subject |
History, cheese production in world and Turkey, nutritional aspects of cheese, cheese varieties, introduction to cheese making, cheese operations, cheese ripening, cheese faults and grading, whey processing, mechanization of cheese making, selected cheese recipes. |
Number of Credits |
4 |
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Module |
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Title: |
Mechanisms |
Teacher: |
István BÍRÓ |
Contact: |
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Level |
BSc |
Termin |
FALL (2 lessons a week) |
Module Aims |
For students the main aims of the education of this module: |
Module Subject |
- Kinematical investigation of mass point (position, velocity, acceleration, coordinate systems); |
Number of Credits |
4 |
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Module |
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Title: |
Modeling and Programming |
Teacher: |
József SÁROSI |
Contact: |
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Level |
BSc |
Termin |
FALL (2 lessons a week) |
Module Aims |
Aim of the course is to introduce the modeling and programming in LabVIEW and Matlab environment with some practical aspects of measurement and control and to introduce the ladder logic programming of programmable logic controller (PLC). |
Module Subject |
Simple averaging and temperature conversion in LabVIEW. |
Number of Credits |
4 |
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Module |
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Title: |
Renewable energy |
Teacher: |
Róbertné KOVÁCS |
Contact: |
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Level |
BSc |
Termin |
FALL (2 lessons a week) |
Module Aims |
Aim of the course is to introduce renewable energy. |
Module Subject |
Introduction to energetics: What is energy? What kind of energy do we know? What kind of energy do we use? Energy sources |
Number of Credits |
4 |
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Module |
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Title: |
Cross-border cooperation |
Teacher: |
Andrea SZÉKELY |
Contact: |
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Level |
BSc |
Termin |
autumn or spring semester (2 lessons a week) |
Module Aims |
The course introduces the basic knowledge about border theory and applied regional policy. The focus will be mainly put on the regional policy of the European Union, its programs and their effects on the border zones in Europe. In addition, case studies will be demonstrated. |
Module Subject |
The European space, Macrostructures in Western and Eastern Europe, Definitions of border, Border theories, Border regions in Europe and in Hungary, Cross-border agglomerations, Touristic aspects of borders |
Number of Credits |
4 |
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Module |
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Title: |
Geography of Hungary |
Teacher: |
Andrea SZÉKELY |
Contact: |
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Level |
BSc |
Termin |
autumn or spring semester (2 lessons a week) |
Module Aims |
It will be an introduction to the geography of Hungary. Physical and human geography point of view will also be considered. The students will learn the regional geography of Hungary, they will be able to find important natural and cultural attractions in the country. |
Module Subject |
Overview of Hungary, Northern Hungary, Northern Great Plain, Southern Great Plain, Southern Transdanubia, Western Transdanubia, Central Transdanubia, Central Hungary. |
Number of Credits |
4 |
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Module |
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Title: |
Introductory Statistics |
Teacher: |
Balázs KOTOSZ |
Contact: |
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Level |
BSc |
Termin |
autumn or spring semester (2 lessons a week) |
Module Aims |
The course introduces the basic statistical concepts and covers the procedures most frequently used in the descriptive analysis of cross-sectional and time-series data. The focus will be mainly put on the computation and interpretation of the most widely used statistical measures and some basic economic indicators that have importance in the socio-economic decision making process. In addition, the use of Excel will also be demonstrated. |
Module Subject |
Data and Statistics, Summarizing qualitative and quantitative data, Descriptive statistics: Tabular and graphical presentations, Measures of location, Measures of variability and shape, Exploratory data analysis, Measures of association, The decomposition of variance, Correlation and Simple Linear Regression, Index numbers Forecasting |
Number of Credits |
4 |
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Module |
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Title: |
Mathematical Statistics |
Teacher: |
Balázs KOTOSZ |
Contact: |
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Level |
BSc |
Termin |
autumn or spring semester (2 lessons a week) |
Module Aims |
It will be an introduction to sampling, statistical inference and statistical modelling. The focus will be mainly put on the logic of the methods to be covered, on the conditions of their application and on the interpretation of the statistical measures most widely used in socio-economic analyses. In addition, the use of Excel will also be demonstrated |
Module Subject |
Introduction to Sampling and Sample Survey, Sampling Distributions, Interval Estimation, Hypothesis Tests, Simple Linear Regression, Simple Nonlinear Regression, Multiple Regression and Regression Model Building |
Number of Credits |
4 |
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Module |
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Title: |
Business Model Building |
Teacher: |
Balázs KOTOSZ |
Contact: |
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Level |
BSc |
Termin |
autumn or spring semester (3 lessons a week) |
Module Aims |
The main goal of the course is practicing the main econometric techniques. First we learn the usage of a free, open-source econometric software (probably Gretl). Then the usage of main statistical tests and model building techniques are in focus: testing restrictions in multiple regressions, heteroscedasticity, autocorrelation, model selection. The course also presents a Review of additional models and techniques (functional form, nonlinearity, limited dependent variable models) |
Module Subject |
Simple linear regression, Reverse regression. LR, W and LM tests, Multiple regression, Model building, Model specification, Heteroscedasticity, multicollinearity, Dummy variables, structural break, Nonlinear models, Logit regression, Bayesian statistics |
Number of Credits |
6 |
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Module |
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Title: |
Time Series Econometrics |
Teacher: |
Balázs KOTOSZ |
Contact: |
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Level |
BSc |
Termin |
autumn or spring semester (2 lessons a week) |
Module Aims |
The main goal of the course is learning and practicing the most important time series analysis techniques. We use a free, open-source econometric software (probably Gretl). Then the usage of main statistical tests and time-series model building techniques are in focus: trend projection, filters, Box-Jenkins modeling and some review of more advanced time series models |
Module Subject |
Time series models, Smoothing Deterministic analysis with Gretl, White noise, ARMA models, Box-Jenkins method, Forecast, Spurious regression, Co-integration, VAR-models |
Number of Credits |
4 |