| Subject name (in Hungarian, in English) | Color engineering | |||
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Color engineering
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| Neptun code | BMEGEMIBMST | |||
| 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 | 1 | |
| nature (connected / stand-alone): | - | - | coupled | |
| Type of assessments (quality evaluation) | mid-term grade | |||
| ECTS | 4 | |||
| Subject coordinator | name: | Nagy Balázs Vince (71428949344) | ||
| post: | associate professor | |||
| contact: | nagyb@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/oktatas/BMEGEMIBMST | |||
| Course language | hungarian | |||
| Primary curriculum type | mandatory | |||
| Direct prerequisites | Strong prerequisite | BMEGEMIBMFV | ||
| Weak prerequisite | ||||
| Parallel prerequisite | ||||
| Milestone prerequisite | at least obtained 0 ECTS | |||
| Excluding condition | BMEGEFOAMO4, BMEGEMIBTSZ | |||
Aim
The aim of the course is to transfer the basics of chromaticity, to present the methods of calculating color stimuli, the principles of color representation systems, and to transfer the following knowledge: The industrial application of color theory in the field of design and quality control. Spectral characterization of light sources in terms of color temperature, color rendering, color coordinates. Getting to know the color properties of reflection surfaces and transmission media. Color measurements and calibration. Relevant standards. Fundamentals of human color vision and perception. Application of color vision in engineering work.
Learning outcomes
Competences that can be acquired by completing the course
Knowledge
He is familiar with the concept of color stimulus, its standardized definitions, and the concept and definition of color stimulus difference. Knows technical color rendering, structure, calculation, and conversions of color rendering systems, especially CIE color rendering systems. Understands the principles and calculation methods of spectral and integrated determination of color stimuli. He is aware of the color characteristics of light emitting, transmissive, reflective and absorbing materials and surfaces. Understands the calculation methods of color temperature and color rendering, the concepts of metameria and whiteness and their calculation methods. He is familiar with the structure, principle of operation, application and calibration methods of color and spectral measuring devices as well as color displays. He informed about the concept and significance of color adaptation, color adaptation models (CAM) and their calculation. He is familiar with the principles of operation of color image recorders and the basics and methods of color image processing. Interprets color application examples in engineering and industrial practice (paint industry, optical industry, textile industry, vehicle manufacturing, other). He / she is familiar with the current trends in chromatic development and the topics of the CIE commissions dealing with color stimuli.
Ability
Able to represent color stimuli in CIE color rendering systems, to convert between systems. Able to calculate and apply color stimulus differences in engineering practice. Able to perform spectral and color measurements, evaluate results. Determines the color characteristics and parameters of the examined light sources. Performs complex chromatic calculations in multi-component systems. Performs color conversion calculations between devices. Examines imaging and display devices from a color point of view. Apply your knowledge of color, taking into account the possibilities of human color perception. Apply your knowledge of color, taking into account the possibilities of machine color vision. Interprets the operation and limitations of human color vision and color perception (color contrast, color constant, color discrimination, color identification).
Attitude
It seeks to expand its color knowledge, taking into account the latest advances in technology. It organizes the application possibilities of chromatic instruments and human color perception into a system. He is not content with the simplest solution idea, he strives to implement a better, more responsible solution. It strives to develop cost-effective systems. Open to new solutions as well as continuous improvement.
Independence and responsibility
He concentrates on his planning task, recognizes the possibilities of mistakes that can be made during his work - he checks his own work. It distinguishes the individual causes of errors with a point of view, and carries out negligence responsibly and in a controlled manner. He performs his grammatical calculations with great precision, applying their neglect and rounding only at the end of the calculations. He is proud of his own construction, but he also accepts the criticism of others. He takes responsibility for his work and the results he has achieved.
Teaching methodology
During the teaching of the subject, the lecture and laboratory practice are separated, both in terms of content and methodology. The lectures basically introduce the students to the knowledge defined by the knowledge competence elements using the technique of frontal education. In the laboratory exercises, measurements are performed with the help of an instructor, but primarily with independent work. The lectures and the main (on-line) available written study materials complement each other and are not sufficient to achieve adequate preparation.
Support materials
Textbook
Schanda, J. (2007) Colorimetry, understanding the CIE system. John Wiley and Sons, ISBN 978-0-470-04904-4
Valberg, A. (2005) Light, vision, color. John Wiley and SonsGegenfürtner ISBN 978-0-470-01212-3
Wyszecki, Günther; Stiles, W.S. (2000) Color Science: Concepts and Methods, Quantitative Data and Formulae (2nd ed.). Wiley-Interscience ISBN 978-0-471-39918-6
Lecture notes
Ábrahám György, Wenzelné Gerőfy Klára, Antal Ákos, Kovács Gábor: Műszaki optika. tankönyvtár.hu, 2014.
Online material
http://www.mogi.bme.hu/tantargyak/BMEGEMIBMST
http://mogi.bme.hu/TAMOP/muszaki_optika/index.html
Validity of the course description
| Start of validity: | 2021. September 1. |
| End of validity: | 2023. August 31. |
General rules
Mid-year evaluation of learning outcomes is based on two mid-year written performance measurements (summary performance evaluations - 1ZH and 2ZH) and laboratory exercises and preparation of protocols (partial performance evaluation - JKV). The condition for obtaining the mid-term grade is both summary performance evaluations and successful completion of all protocols individually.
Assessment methods
Detailed description of mid-term assessments
| Mid-term assessment No. 1 | ||
| Type: | summative assessment | |
| Number: | 2 | |
| Purpose, description: | The aim of the summary performance evaluations (indoor papers - 1ZH, 2ZH) is the complex, written evaluation of the knowledge and ability type competence elements of the subject in the form of 2 indoor papers. The dissertations basically focus on the application of the acquired knowledge, so they focus on problem recognition and solution, and consist of multiple-choice, textual or problem-solving tasks. The part of the curriculum on which the assessment is based is determined by the lecturer of the subject in agreement with the supervisors, the available working time is 45-45 minutes. They will be completed on the date specified in the academic performance evaluation plan, and is expected to be on the dates of the 7th and 13th week lectures. A minimum of 40% each must be achieved for effective performance. | |
| Mid-term assessment No. 2 | ||
| Type: | formative assessment, simple | |
| Number: | 1 | |
| Purpose, description: | Partial performance evaluation (protocol - JKV) is a complex way of evaluating the knowledge, ability, attitude, and independence and responsibility type competence elements of the subject, the form of which is active participation in laboratory sessions and preparation of a protocol based on the results of laboratory measurements. Measurements and protocols should be prepared in groups of 2-4 people. A minimum of 40% per protocol must be achieved for effective performance. | |
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 | 80 % |
| Mid-term assessment No. 2 | 20 % |
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] | 70 % - 85 % |
| satisfactory (3) | Satisfactory [D] | 55 % - 70 % |
| sufficient (2) | Pass [E] | 40 % - 55 % |
| insufficient (1) | Fail [F] | below 40 % |
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.
At least 100% of laboratory practices (rounded down) must be actively attended.
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).
| Need mid-term assessment to invidually complete? | ||
| yes | ||
| Can the submitted and accepted partial performance assessments be resubmitted until the end of the replacement period in order to achieve better results? | ||
| yes | ||
| The way of retaking or improving a summary assessment for the first time: | ||
| each summative assessment can be retaken or improved | ||
| Is the retaking-improving of a summary assessment allowed, and if so, than which form: | ||
| retake or grade-improving exam not possible | ||
| 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 | ||
| Completion of unfinished laboratory exercises: | ||
| missed laboratory practices must be performed in the repeat period | ||
| Repetition of laboratory exercises that performed incorrectly (eg.: mistake in documentation) | ||
| incorrectly performed laboratory practice (e.g. Incomplete/incorrect report) can be corrected upon improved re-submission | ||
Study work required to complete the course
| Activity | hours / semester |
|---|---|
| participation in contact classes | 42 |
| preparation for laboratory practices | 14 |
| preparation for summary assessments | 32 |
| elaboration of a partial assessment task | 4 |
| additional time required to complete the subject | 28 |
| altogether | 120 |
Validity of subject requirements
| Start of validity: | 2021. September 1. |
| End of validity: | 2023. August 31. |
Primary course
The primary (main) course of the subject in which it is advertised and to which the competencies are related:
mechatronics_engineering
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
- Student has acquired a theoretically sound, systems-oriented and practice-oriented engineering mindset.
- Student has the knowledge of information and communication technologies relevant to the field.
- Student has the knowledge of national and international standards and regulations, application of these in his work and the demand of this from his colleagues.
Ability
- Student has the ability to perform laboratory tests on materials used in the field of mechatronics, to statistically evaluate and document test results and to compare experimental and theoretical results.
- Student has the ability to contribute original ideas to the knowledge base of the field.
- Student has the ability to be creative in problem solving and flexible in complex tasks, as well as a lifelong learner, committed to diversity and value-based approaches.
Attitude
- Student strives to carry out their work in a complex approach based on a systems and process-oriented mindset.
- Student strives to plan and carry out tasks to a high professional standard, either independently or in a team.
- Student strives to develop professional competences.
Independence and responsibility
- Student shares gained knowledge and experience with those working in the field through formal, non-formal and informal information transfer.
- Student takes an independent and proactive approach to solving professional problems.
- Student seeks to take decisions in new, complex and strategic decision-making situations and in unexpected life situations, taking full account of legal and ethical standards.
Prerequisites for completing the course
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Knowledge type competencies
(a set of prior knowledge, the existence of which is not obligatory, but greatly facilitates the successful completion of the subject) |
none |
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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) |
none |