ECTS - Blockchain and Cryptocurrency Technologies
Blockchain and Cryptocurrency Technologies (SE427) Course Detail
Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
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Blockchain and Cryptocurrency Technologies | SE427 | Area Elective | 2 | 2 | 0 | 3 | 5 |
Pre-requisite Course(s) |
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N/A |
Course Language | English |
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Course Type | Elective Courses |
Course Level | Natural & Applied Sciences Master's Degree |
Mode of Delivery | |
Learning and Teaching Strategies | . |
Course Lecturer(s) |
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Course Objectives | |
Course Learning Outcomes |
The students who succeeded in this course; |
Course Content | Introduction.Blockchain Basics.Consensus Algorithms.Cryptography Fundamentals.Blockchain Networks. Blockchain Programming. Blockchain Transactions, Mining, and Wallets. Smart Contracts. Cryptocurrencies. Blockchain Applications. Decentralization. Blockchain Security. Legal Aspects, Finance, and Economy. Future of Blockchain Technologies. |
Weekly Subjects and Releated Preparation Studies
Week | Subjects | Preparation |
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Sources
Evaluation System
Requirements | Number | Percentage of Grade |
---|---|---|
Attendance/Participation | - | - |
Laboratory | - | - |
Application | - | - |
Field Work | - | - |
Special Course Internship | - | - |
Quizzes/Studio Critics | - | - |
Homework Assignments | - | - |
Presentation | - | - |
Project | - | - |
Report | - | - |
Seminar | - | - |
Midterms Exams/Midterms Jury | - | - |
Final Exam/Final Jury | - | - |
Toplam | 0 | 0 |
Percentage of Semester Work | |
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Percentage of Final Work | 100 |
Total | 100 |
Course Category
Core Courses | X |
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Major Area Courses | |
Supportive Courses | |
Media and Managment Skills Courses | |
Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
# | Program Qualifications / Competencies | Level of Contribution | ||||
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | ||
1 | Attains knowledge through wide and in-depth investigations his/her field and surveys, evaluates, interprets, and applies the knowledge thus acquired. | |||||
2 | Has a critical and comprehensive knowledge of contemporary engineering techniques and methods of application. | X | ||||
3 | By using unfamiliar, ambiguous, or incompletely defined data, completes and utilizes the required knowledge by scientific methods; is able to fuse and make use of knowledge from different disciplines. | |||||
4 | Has the awareness of new and emerging technologies in his/her branch of engineering profession, studies and learns these when needed. | X | ||||
5 | Defines and formulates problems in his/her branch of engineering, develops methods of solution, and applies innovative methods of solution. | |||||
6 | Devises new and/or original ideas and methods; designs complex systems and processes and proposes innovative/alternative solutions for their design. | |||||
7 | Has the ability to design and conduct theoretical, experimental, and model-based investigations; is able to use judgment to solve complex problems that may be faced in this process. | |||||
8 | Functions effectively as a member or as a leader in teams that may be interdisciplinary, devises approaches of solving complex situations, can work independently and can assume responsibility. | |||||
9 | Has the oral and written communication skills in one foreign language at the B2 general level of European Language Portfolio. | X | ||||
10 | Can present the progress and the results of his investigations clearly and systematically in national or international contexts both orally and in writing. | |||||
11 | Knows social, environmental, health, safety, and legal dimensions of engineering applications as well as project management and business practices; and is aware of the limitations and the responsibilities these impose on engineering practices. | |||||
12 | Commits to social, scientific, and professional ethics during data acquisition, interpretation, and publication as well as in all professional activities. |
ECTS/Workload Table
Activities | Number | Duration (Hours) | Total Workload |
---|---|---|---|
Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 4 | 64 |
Laboratory | |||
Application | |||
Special Course Internship | |||
Field Work | |||
Study Hours Out of Class | 16 | 2 | 32 |
Presentation/Seminar Prepration | |||
Project | 1 | 10 | 10 |
Report | |||
Homework Assignments | |||
Quizzes/Studio Critics | |||
Prepration of Midterm Exams/Midterm Jury | 1 | 5 | 5 |
Prepration of Final Exams/Final Jury | 1 | 10 | 10 |
Total Workload | 121 |