Course code VidE5153

Credit points 3

Master Thesis III

Total Hours in Course81

Independent study hours81

Date of course confirmation17.02.2015

Responsible UnitInstitute of Engineering and Energetics

Course developer

author prof.

Dainis Berjoza

Dr. sc. ing.

Prior knowledge

LauZ5139, Master Thesis II

LauZ5152, Master Thesis I

Course abstract

The aim of the study course is to be able to creatively and scientifically cooperate with the scientific adviser by compiling research materials for a master's thesis in the sphere that is related to the acquired study program and the research direction of the institute. The Master thesis should show the competences and skills of the Master student in solving engineering problems that are topical for economics and in performing research work.

Learning outcomes and their assessment

1. Knowledge - a master student obtains extended practical and theoretical knowledge and an understanding of the research performed in a related science, the newest research technologies and equipment and their exploitation, and processing of research data and their demonstration.
2. Skills - a master student is skilful in applying the knowledge in elaborating a master thesis: analysis of an analytical situation, assessment and development of a research methodology, creation of new knowledge based on the research performed, summarisation, assessment, and interpretation of the results. A master student is able to defend and scientifically justify his/her own decisions made to solve engineering problems.

3. Competence - a master student can independently perform and analyse engineering calculations of various complexities and extents, conduct experimental and analytical research related to the research topic chosen. Able to prepare a report and a presentation of the research – presentation. Is able to prepare a paper for a postgraduate scientific conference - prepared publication.

Course Content(Calendar)

1. Processing of Master's thesis research data.
2. Mathematical treatment of experimental results.
3. Evaluation of experimental errors.
4. Results of experiments.
5. Primary analysis of experimental results.

6. Preparation of publication for “TF student and master student scientific conference” or equivalent conference.

Requirements for awarding credit points

Test
Students give a presentation at the enlarged Institute meeting. A prepared scientific publication must be submitted.

Description of the organization and tasks of students’ independent work

Performing experiments and processing results.
Development of a publication.

Criteria for Evaluating Learning Outcomes

Successful presentation at the extended session of the institute, prepared scientific publication.

Compulsory reading

1. Vārtukapteinis K., Berjoza D., Dukulis I. Metodiskie noteikumi maģistra darbu izstrādāšanai un aizstāvēšanai akadēmiskajā maģistra studiju programmā lauksaimniecības inženierzinātne. [tiešsaiste] Jelgava, 2017. [skatīts 09.09.2019.] Pieejams TF mājas lapā: http://www.tf.llu.lv/sites/tf/files/files/lapas/Met_nor_magistra_d_2017_0.pdf
2. Kothari C.R. (2012) Research Methodology: Methods and Techniques. 3rd edition. New Age International Pvt Ltd Publishers, 418 p.

3. J. Quirk T. J. (2016) Excel 2016 for Business Statistics: A Guide to Solving Practical Problems (Excel for Statistics). Springer, 260 p.

Further reading

1. Frye C. (2015) Microsoft Excel 2016 Step By Step. Microsoft Press, 544 p.

2. Lambert J. (2015) Microsoft PowerPoint 2016 Step By Step. Microsoft Press, 512 p.

Notes

Compulsory course for students of Faculty of Engineering Master study program in Agricultural Engineering