Course code LauZ3125

Credit points 1.50

Fundamentals of Engineering Work II

Total Hours in Course40

Number of hours for lectures8

Number of hours for seminars and practical classes8

Independent study hours24

Date of course confirmation16.03.2011

Responsible UnitInstitute of Engineering and Energetics

Course developers

author prof.

Ilmārs Dukulis

Dr. sc. ing.

author Inženiertehnikas un enerģētikas institūts

Ruslans Šmigins

Dr. sc. ing.

Replaced course

LauZB001 [GLAUB001] Fundamentals of Engineering Work

Course abstract

The study course deals with the specifics of engineering work, the engineering problem solving strategies and methods, an efficient organization of engineering work, and the requirements of engineering work formatting and to use acquired knowledge in elaboration of engineering work related with speciality.

Learning outcomes and their assessment

Knowledge - about the systemic approach to the engineering problem solving, research methods and techniques, theoretical and empirical studies, research result’s acquisition, processing and evaluating methods;
Skills - to choose the research topic, the research objectives and hypothesis of research, to search and process an information, to choose an appropriate research methodology and to realize it, to process the study report and to present it;

Competence - working in group or independently, to find the specialty-related problems and give their solutions, as well as to convince others and argue own viewpoint.

Course Content(Calendar)

Full time intramural studies:
1. Selection or development of research methodology. (1 h lect.)
2. Theoretical research. (1 h lect.)
3. Model, its definition and the need for creation. Types of models. (1 h lect.)
4. Modeling tools. Optimization. (1 h lect.)
5. Empirical research, its types and methods. (1 h lect.)
6. Structure and classification of test equipment. (1 h lect.)
7. Forms and examples of empirical research results. (1 h lect.)
8. Processing of research results. Methods to be used in mathematical statistics. (1 h pract.w.)
9. Analysis of research results. (1 h pract.w.)
10. Evaluation of research effectiveness and conclusion of the work. (1 h pract.w.)
11. Preparation of conclusions and recommendations. (1 h pract.w.)
12. Report, its structure, compilation and design. (1 h pract.w.)
13. Presentation and implementation of results. Copyright protection. (1 h lect.)
14. Analysis of different presentations. (1 h pract.w.)
15. Preparation of engineering work presentation. (1 h pract.w.)
16. Presentation of engineering work results. (1 h pract.w.)
Part time extramural studies:

All topics specified for full time studies are accomplished, but the number of contact hours is one half of the number specified in the calendar

Requirements for awarding credit points

Test with a mark.
All practical works have been developed; four tests have been successfully completed, an engineering paper has been developed and presented. Each test is evaluated in a 10-point system. Tests can only be performed at the specified times. The evaluation of the test depends on the average evaluation of the two-semester tests and the evaluation of the engineering work.

Description of the organization and tasks of students’ independent work

Preparation for tests and practical works, as also preparation of engineering work.

Criteria for Evaluating Learning Outcomes

A student can obtain a successful grade for a test if at least 50% of the questions are answered correctly. The test mark is calculated as the arithmetic mean of the average marks of the tests.

Compulsory reading

1. Dukulis I. Lekcijas TF studentiem inženierdarba pamatos (2011) [tiešsaiste]. [skatīts 25.11.2011.] Pieejamas: http://www.llu.lv/tf/Ilmars_Dukulis/idp.htm
2. Garrison, Ervan G. A history of engineering and technology: artfull methods. – 2nd ed. – CRC Press ltd., 2004. – 348 p. (Pieejama pie kursa atbildīgā mācībspēka)
3. Holman J.P. Experimental methods for engineers: 6th edition. – McGraw-Hill, Inc., 2005. – 616 p. (Pieejama pie kursa atbildīgā mācībspēka)

Further reading

1. Arhipova I., Bāliņa S. Statistika ekonomikā. Risinājumi ar SPSS un Microsoft Excel: mācību līdzeklis. – Rīga: Datorzinību centrs, 2003. – 352 lpp.
2. Prezentēšana: mācību līdzeklis [kompaktdisks]. – Rīga: Biznesa augstskola Turība, 2004.

Notes

The study course is included in the compulsory part of the professional bachelor's study program "Applied Energy Engineering" in the 4th semester (full-time studies) and the 4th semester (part-time studies).