Subject name (in Hungarian, in English) | Research methodology | |||
Reseach methodology
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Neptun code | BMEGEMIDKMD | |||
Type | study unit with contact hours | |||
Course types and number of hours (weekly / semester) | course type: | lecture (theory) | exercise | laboratory excercise |
number of hours (weekly): | 2 | 0 | 0 | |
nature (connected / stand-alone): | - | - | - | |
Type of assessments (quality evaluation) | mid-term grade | |||
ECTS | 3 | |||
Subject coordinator | name: | Dr. Kiss Rita Mária (71957806243) | ||
post: | university professor | |||
contact: | rita.kiss@mogi.bme.hu | |||
Host organization | Department of Mechatronics, Optics and Mechanical Engineering Informatics | |||
http://www.mogi.bme.hu | ||||
Course homepage | http://www.mogi.bme.hu/tantargyak/BMEGEMIDKMD | |||
Course language | hungarian | |||
Primary curriculum type | választható PhD tárgy | |||
Direct prerequisites | Strong prerequisite | none | ||
Weak prerequisite | ||||
Parallel prerequisite | ||||
Milestone prerequisite | at least obtained 0 ECTS | |||
Excluding condition | none |
Aim
The aim of teaching the subject is to acquaint the students with the theoretical background of the research methodology and practical applications. After summarizing the basic concepts and history of the research methodology, we analyze in detail the choice of research topics and the steps and methods, including the methods of thinking. Within the framework of the course, special emphasis is placed on the literature research belonging to the research, the critical analysis of the literature, the use of various databases and bibliographic programs. We cover the two basic methods of research, simulation and experimental, cognition, the identity and difference of the planning, construction and documentation, evaluation steps, and the relationship between the two methods. We summarize the doctoral requirements, the priorities of filling in the necessary data sheets, the recommended forms of compiling the theses, we cover the use of MTMT, the publication requirements. Within the framework of the subject, we deal with research ethics.
Learning outcomes
Competences that can be acquired by completing the course
Knowledge
He knows the basic concepts and history of research methodology. Knows the different types of literature reviews. He is familiar with the use of various databases and bibliographic programs. He is aware of different types of research and their conditions. He was informed about the research methods in two basic (simulation and experimental) cognition methods. It combines the design, construction, and documentation steps associated with simulation and experimental cognition methods. He is aware of methods for evaluating results, especially basic descriptive statistical methods. He was informed about the most important principles and issues of research ethics. He is aware of the use of MTMT, the compilation of publication lists, the publication requirements. Knows the recommended forms for compiling theses.
Ability
Uses various databases, bibliographic programs. Able to classify and evaluate different researches. He plans the ways of getting to know his research. Apply planning, cognition methods, documentation steps. Use basic statistical programs to evaluate results. He / she is able to compare his / her research results with the findings in the literature, to place them in the research process. Prepares a publication summarizing his research results. Able to define ethical and unethical research, suitable for conducting ethical research. Use the MTMT program to register and evaluate your publications and to compile a list of publications. Uses faculty recommendation to compile theses.
Attitude
He constantly monitors his work, results and conclusions. It also expands its knowledge in the field of research methodology through continuous acquisition of knowledge. Open to the use of information technology tools. It seeks to know and routinely use the necessary tools of the research methodology. It develops your ability to provide accurate and error-free problem solving, engineering precision and accuracy. It applies the principles of energy efficiency, sustainability and environmental awareness in its research. It monitors changes in science, economic and social systems. He publishes his results in accordance with his professional rules. It publishes its opinions and views without offending others.
Independence and responsibility
Collaborates with the instructor and fellow students to expand knowledge. Accepts well-founded professional and other critical remarks. In some situations, as part of a team, you work with your fellow students to solve tasks. With his knowledge, he makes a responsible, informed decision based on his analyzes. He feels a responsibility for the sustainable use of the environment and for present and future generations. He is committed to the principles and methods of systematic thinking and problem solving.
Teaching methodology
During the teaching of the subject, the students gain knowledge about the conceptual system of the research methodology, its characteristic features and methods. In the examples modeling reality, we show their applications and deepen the knowledge. The application of the knowledge is also facilitated by the two homework assignments, during which students present a dissertation presenting the initial conditions (keywords, literature separation methods, evaluation table) and a summary of the doctoral research flowchart, main steps and time schedule according to their own research topic. are made.
Support materials
Textbook
Csermely P., Gergely P., Koltay T., Tóth J .: Research and communication in the natural sciences.Osiris publishing Budapest, 1999. ISBN 9633795281
Leedy PD, Ormrod, JE: Practical Research: Planning and Design, New York: Prentice Hall, 2004. ISBN 978-0134775654
Lecture notes
No note currently available, expected in 2024 at the earliest.
Online material
http://www.mogi.bme.hu/tantargyak/BMEGEMIDKMD
Validity of the course description
Start of validity: | 2020. February 1. |
End of validity: | 2024. December 31. |
General rules
Assessment of learning outcomes is a two-year written partial achievement. Partial performance assessment (homework): a complex way of evaluating the knowledge, ability, attitude, and independence and responsibility type competence elements of the subject, the form of which is the two homework that can be done individually. The course ends with a mid-term grade. The condition for obtaining the credit is that the student completes the mid-year performance evaluations at a level of at least 50%, together with any repetitions, corrections and replacements.
Assessment methods
Detailed description of mid-term assessments
Mid-term assessment No. 1 | ||
Type: | formative assessment, project-based, complex | |
Number: | 1 | |
Purpose, description: | The basic goal of partial performance assessment is to examine the existence of knowledge, ability, attitude, and learning outcomes belonging to the autonomy and responsibility competence group. The way to do this is an analysis task that can only be created individually. The aim of the task is for the students to prepare a literature research plan in accordance with their own research topic, which includes the keywords of the research, the methods of separation and processing of the literature, and the preparation of a table to help critically analyze each literature. | |
Mid-term assessment No. 2 | ||
Type: | formative assessment, simple | |
Number: | 1 | |
Purpose, description: | The basic goal of partial performance assessment is to examine the existence of knowledge, ability, attitude, and learning outcomes belonging to the autonomy and responsibility competence group. The way to do this is a unique presentation. The aim of the task is for the students to make a flowchart of their research with branching and decision points according to their own doctoral research topic, to describe the most important steps of their research with a time schedule. |
Detailed description of assessments performed during the examination period
The subject does not include assessment during the examination period.
The weight of mid-term assessments in signing or in final grading
ID | Proportion |
---|---|
Mid-term assessment No. 1 | 30 % |
Mid-term assessment No. 2 | 70 % |
The weight of partial exams in grade
There is no exam belongs to the subject.
Determination of the grade
Grade | ECTS | The grade expressed in percents |
---|---|---|
very good (5) | Excellent [A] | above 90 % |
very good (5) | Very Good [B] | 85 % - 90 % |
good (4) | Good [C] | 72 % - 85 % |
satisfactory (3) | Satisfactory [D] | 65 % - 72 % |
sufficient (2) | Pass [E] | 50 % - 65 % |
insufficient (1) | Fail [F] | below 50 % |
The lower limit specified for each grade already belongs to that grade.
Attendance and participation requirements
The lack of the value means that there is no attendance requirement.
Special rules for improving, retaken and replacement
The special rules for improving, retaken and replacement shall be interpreted and applied in conjunction with the general rules of the CoS (TVSZ).
Can the submitted and accepted partial performance assessments be resubmitted until the end of the replacement period in order to achieve better results? | ||
yes | ||
Taking into account the previous result in case of improvement, retaken-improvement: | ||
out of multiple results, the best one is to be taken into account | ||
The way of retaking or improving a partial assessment for the first time: | ||
partial assesment(s) in this group can be improved or repeated once up to the end of the repeat period |
Study work required to complete the course
Activity | hours / semester |
---|---|
participation in contact classes | 28 |
elaboration of a partial assessment task | 34 |
additional time required to complete the subject | 25 |
altogether | 87 |
Validity of subject requirements
Start of validity: | 2020. February 1. |
End of validity: | 2024. December 31. |
Primary course
The primary (main) course of the subject in which it is advertised and to which the competencies are related:
Mechanical engineering sciences PhD programme
Link to the purpose and (special) compensations of the Regulation KKK
This course aims to improve the following competencies defined in the Regulation KKK:
Knowledge
Ability
Attitude
Independence and responsibility
Prerequisites for completing the course
Knowledge type competencies
(a set of prior knowledge, the existence of which is not obligatory, but greatly facilitates the successful completion of the subject) |
basic statistical concepts |
Ability type competencies
(a set of prior abilities and skills, the existence of which is not obligatory, but greatly contributes to the successful completion of the subject) |
preparation of engineering documentation |