ID: 9011
Course type: vocational and applied
Course coordinator: .
Lecturers:
Contact: .
Level of studies: M.Sc. (graduate) Academic Studies – Industry 4.0
ECTS: 12
Final exam type: oral
Department: Departments
Applying engineering knowledge, techniques and skills in order to identify, formulate and solve the given engineering problem within the Master thesis; understanding the principles of project and equipment design and the environment necessary for their production; designing systems, components or processes within practical limitations, such as economic, environmental, social, ethical, safety and security limitations; using computing and statistical methods, simulations and information technologies for analysis and synthesis of technological systems; implementing standard tests and measurements and providing an overview of the results.
Upon the successful completion of the Master thesis, engineers should be able to: • come up with and apply the solutions based on their knowledge in science, engineering, technology, computer science and mathematics, • determine, formulate, analyze and solve complex engineering problems, • design a system, component or process, provide answers to the stated needs, plan and conduct an experiment and analyze and interpret data, • work efficiently as individuals in a team and in a multidisciplinary environment, with the ability of lifelong learning, • communicate efficiently with the engineering community and the society as a whole, • apply the acquired knowledge and adapt to newly arising situations in practice, • consider different solutions critically and self-critically;
It is developed individually in accordance with the needs and the field of the Master thesis. Master thesis is in the field of mandatory or elective courses from the study program. The topic and content of the Master thesis are the result of practical research, and project activities that are realized for the needs and in cooperation with the employer where Internship, part 2 is carried out. The Master thesis is taken from the mandatory or elective subjects of the study program.The student studies the referent literature, bachelor and master theses with similar topics and conducts analyses in order to find solutions to the specific task defined by the topic of the Master thesis.
Within the given topic, the student may conduct standard testing and measurements; he/she may conduct, analyze and interpret experiments and implement experimental results in process improvement. He/she may use the methods and tools for the analysis, synthesis and design in the areas of distributed computing; data analysis; interactive computing; organization; systems and processes control; equipment, systems and processes design and/or implementation; system maintenance in context of Industry 4.0. The Master's thesis is closely related to the subject Internship, Part 2 and the practical part of the Master's thesis is carried out in the company where the Internship, Part 2 is carried out under the supervision of the Master's thesis mentor and the mentor at the employer.All results of practical research and project activities student documents in detail within technical reports.
None
Existing laboratory equipment at the Faculty, textbooks and library references.
Total assigned hours: 225
New material: 0
Elaboration and examples (recapitulation): 0
Auditory exercises: 0
Laboratory exercises: 0
Calculation tasks: 0
Seminar paper: 0
Project: 0
Consultations: 0
Discussion/workshop: 0
Research study work: 225
Review and grading of calculation tasks: 0
Review and grading of lab reports: 0
Review and grading of seminar papers: 0
Review and grading of the project: 0
Test: 0
Test: 0
Final exam: 0
Activity during lectures: 0
Test/test: 0
Laboratory practice: 0
Calculation tasks: 0
Seminar paper: 0
Project: 70
Final exam: 30
Requirement for taking the exam (required number of points): 0
Biggam, J., (2015), Succeeding with your master's dissertation: a step-by-step handbook, McGraw-Hill Education; Lazaros, E., & Flowers, J., (2014), Keys to succeeding in a master's program: advice from technology education graduate advisors/faculty, Technology and Engineering Teacher, 73 (5), 34; Srihari, K., Sammakia, B.G., (2002), Industry - University partnership in graduate research and education, Proceedings - Electronic Components and Technology Conference, pp. 768-771.