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Assessment of Master Thesis – Academic Consultant

Study programme:Applied Informatics

Field of study:Information Systems Management Academic year:2020/2021

Master Thesis Topic:Internet of things in the automotive industry and concept of smart car Author’s name:Igoris Triskinas

Ac. Consultant’s Name:Ing. Martin Potančok, Ph.D.

Opponent:Ing. PhDr. Antonín Pavlíček, Ph.D.

Criterion Mark

(1–4)

1. Clarity and comprehensibility of the thesis topic and aims 2

2. The extent and relevance of the description of the current state of knowledge 2

3. The complexity of the thesis topic 1

4. Method adequeteness for solving the given issue, correctness of the choice and use 1

5. The extent, quality and precision of the result description 2

6. Relevance and correctness of the result discussion 2

7. Factual contribution of the thesis result 2

8. Information source relevance and citation correctness 2

9. Logical structure and cohesion among individual parts 2

10. Grammar, linguistic style, terminology and overall arrangement 2

11. Student’s initiative and cooperation with the supervisor 2

12. The use of analytical and data processing methods 1

13. Meeting the principles of ethics and sustainability 2

14. Critical and creative thinking 1

Comments and Questions:

The main aim of this thesis is to design a concept of data usage (smart connect, autonomous driving analysis, and telematics data) from smart cars for enterprise and end-users. The topic represents a complex area with many components and stakeholders, exciting and relevant to current research.

The author correctly described the current state-of-the-art (car telematics, vehicle-to-everything, usage-based insurance, and car-sharing) within the initial literature review. The areas of the concept (car-sharing and dealer-based insurance) are correct. The concept was validated with the main stakeholders of automotive, telematics, and car-sharing businesses. I would recommend summarizing their feedback also within the conclusion.

Validator: similarity score is 15% (iThenticate), including direct quotes and paraphrases. In a few cases, references are included at the end of the paragraph.

Questions and remarks to the defence: 1) What is the architecture of the proposed concept? 2) Could the author identify data flows in it?

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Conclusion: The Master Thesis is recommended for the defence.

Suggested Grade: 2

Date: 06/01/2021 Ing. Martin Potančok, Ph.D.

Academic Consultant

Odkazy

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