| Statuss(Aktīvs) | Izdruka | Arhīvs(0) | Studiju plāns Vecais plāns | Kursu katalogs | Vēsture |
| Course title | Research Methodology in Biosystems Machinery I |
| Course code | MašZ4072 |
| Credit points (ECTS) | 3 |
| Total Hours in Course | 81 |
| Number of hours for lectures | 8 |
| Number of hours for seminars and practical classes | 24 |
| Independent study hours | 49 |
| Date of course confirmation | 25/09/2019 |
| Responsible Unit | Institute of Engineering and Energetics |
| Course developers | |
| Dr. sc. ing., prof. Ilmārs Dukulis |
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| There is no prerequisite knowledge required for this course | |
| Course abstract | |
| The aim of the course is to get an understanding of the organization of research process in biosystems engineering, from problem identification, goal and task formulation to analysis and interpretation of the obtained results. Students gain knowledge of theoretical and experimental research strategies, planning, methods, tools and equipment, as well as the effective use of modern technologies in the documenting and presentation of research and course projects and bachelor work. | |
| Learning outcomes and their assessment | |
| Knowledge of basic research principles, strategies and planning of research in biosystems engineering and technologies. Knowledge is assessed in Test 1 and practical works.
Skills in the selection and implementation of theoretical and experimental research methods and techniques. Skills are assessed in Test 2 and homework. Competence, working in group or independently, to carry out research, evaluate the obtained results, as well as to convince others and argue own viewpoint. Competences are assessed in homework – report and presentation of the research work. |
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| Course Content(Calendar) | |
| 1. Classification of branches of science. Concept of biosystem. Biosystems engineering and technologies, their characterization in various fields of science, incl. faculties and study programs of Latvia University of Life Sciences and Technologies. Acquaintance with university and faculty laboratories, library, etc. resources for studies and research. – 6 h
2. The role of research in the development of civilization. Trends in modern science and research. Organization of scientific work and engineering research, problems. – 2 h 3. Study and research works included in the study program “Biosystems Engineering and Technologies”, regulations for their execution and presentation. – 2 h 4. Systems and their analysis in research work. Systemic approach in solving engineering problems. System features, structure and types. System and environment. Hierarchy of systems. Links in systems. Engineer and engineering work. The difference between scientific work and engineering work. – 2 h 5. Introduction into the strategy of solving engineering tasks and stages of research work. Theme, aim and tasks of research work. Analytical review. Theoretical and experimental research. Research results and evaluation of effectiveness. Research overview, presentation. – 3 h 6. Test 1. Systems. Stages of research work. – 1 h 7. Styles and their use in preparing of large documents. Automatic numbering of images, tables and formulas, forms, cross-references. Preparation of study paper templates in a word processing application. – 5 h 8. Calculations and charts in a spreadsheet app. Importing data from various devices into an app for further processing. Data analysis tools. – 5 h 9. Recommendations and effective methods of presentation preparation. Development of presentation templates. Preparation of study paper templates in a presentation application. – 4 h 10. Test 2. Efficient use of word processing, spreadsheet and presentation applications. – 2 h |
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| Requirements for awarding credit points | |
| The study course concludes with a cumulative exam, with or without a final assessment during the individual study and examination period. The exam grade is based on the evaluation of study results throughout the semester (practical assignments, tests, research report, and presentation with a speech). A final exam covering the entire course material must be taken if the semester grade is 5 or lower, or if the student wishes to improve his/her semester grade. | |
| Description of the organization and tasks of students’ independent work | |
| Preparation of a study paper template in a word processing application. Preparation of a presentation template. Developing and presenting a small research project (about 15 pages and 15 slides). | |
| Criteria for Evaluating Learning Outcomes | |
| All coursework during the semester (practical assignments, tests, research report, and presentation with a speech) is graded on a 10-point scale. A passing grade on the first test can be obtained if at least 50% of the test questions are answered correctly. In the second test, each task is assigned a specific number of points. A passing grade requires at least 50% of the total points. If the research report is prepared but not presented, the maximum possible grade is reduced by three points. The final grade for the study course consists of: 30% from the grades of practical assignments during the semester, 30% from the test grades, and 40% from the research project grade. | |
| Compulsory reading | |
| 1. Holman J.P. (2011) Experimental methods for engineers: 8th edition. McGraw-Hill Education, 768 p.
2. Kumar R. (2011) Research Methodology: a Step-by-Step Guide for Beginners: 3rd edition. SAGE Publications Ltd., 440 p. 3. Kothari C.R. (2012) Research Methodology: Methods and Techniques. 3rd edition. New Age International Pvt Ltd Publishers, 418 p. 4. J. Quirk T. J. (2016) Excel 2016 for Business Statistics: A Guide to Solving Practical Problems (Excel for Statistics). Springer, 260 p. 5.Ievads pētniecībā: stratēģijas, dizaini, metodes /[sastādītāja Kristīne Mārtinsone]. [Rīga]: RaKa, 2011. 284 lpp. 6.Arhipova, Irina: Varbūtību teorijas un matemātiskās statistikas pielietojumi inženierzinātnēs: mācību līdzeklis/ Irina Arhipova ; Latvijas Lauksaimniecības universitāte. Informācijas tehnoloģiju fakultāte. Jelgava: LLU, 2008. 125 lpp. 7.Arhipova I., Bāliņa S. Statistika ekonomikā. Risinājumi ar SPSS un Microsoft Excel. Rīga: Datorzinību centrs, 2003. 352 lpp. |
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| Further reading | |
| 1. Lambert J. (2015) Microsoft Word 2016 Step By Step. Microsoft Press, 624 p.
2. Frye C. (2015) Microsoft Excel 2016 Step By Step. Microsoft Press, 544 p. 3. Lambert J. (2015) Microsoft PowerPoint 2016 Step By Step. Microsoft Press, 512 p. |
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| Notes | |
| The study course is included in the compulsory part of the bachelor’s study programme “Biosystems Machinery and Technologies”. 1st year, 1st semester. | |