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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS ISL 2038 BLOCKCHAIN TECHNOLOGY AND APPLICATIONS IN BUSINESSES ELECTIVE 3 0 0 4

Offered By

Business Administration

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR MERT TOPOYAN

Offered to

Business Administration Business Administration (Evening)

Course Objective

Understanding the basic concepts of blockchain technology, which has started to be used in businesses, cryptocurrencies, application areas, concepts such as metaverse and NFT, the benefits of blockchain technology and the problems that may be encountered in blockchain technology.

Learning Outcomes of the Course Unit

1   To understand the operating logic of blockchain technology 2   Understanding consensus protocols and blockchain types 3   To be able to explain concepts such as cryptocurrencies, digital assets, NFT, Metaverse 4   To be able to explain the usage areas of blockchain technology in terms of businesses.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction and Course Description 2 Overview of blockchain technology 3 Overview of blockchain technology 4 Consensus protocols 5 Bitcoin blockchain 6 Ethereum and smart contracts 7 IOTA and the Internet of Things 8 Digital assets, digital rights and cryptocurrencies 9 Metaverse and NFT 10 Blockchain applications in finance 11 Blockchain applications in healthcare 12 Blockchain applications in the supply chain 13 Industry 4.0 and blockchain 14 Conclusion and Evaluation

Recomended or Required Reading

Narayanan, A., vd., (2016). Bitcoin and cryptocurrency technologies: a comprehensive introduction. Princeton University Press. Mougayar, W. (2016). The business blockchain: promise, practice, and application of the next Internet technology. John Wiley & Sons.

Planned Learning Activities and Teaching Methods

Power point supported lecture, case study technique

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 MTEG MIDTERM GRADE MTEG * 1 3 FIN FINAL EXAM 4 FCGR FINAL COURSE GRADE MTEG * 0.40 + FIN * 0.60 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60

Further Notes About Assessment Methods

None

Assessment Criteria

It will be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 3 42 Preparations before/after weekly lectures 14 3 42 Preparation for midterm exam 1 4 4 Preparation for final exam 1 5 5 Preparing assignments 1 10 10 Preparing presentations 1 4 4 Midterm 1 1 1 Final 1 1 1 TOTAL WORKLOAD (hours) 109

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 PO.13 PO.14 PO.15 LO.1 1 1 1 LO.2 1 1 1 LO.3 1 1 1 LO.4 1 1 1 1