Blockchain developers implement or program blockchain-based software systems based on specifications and designs by using programming languages, tools, and blockchain platforms.
No competences in this bucket.
A decentralised, public and distributed digital ledger that is employed to record transactions between many computers. It guarantees that the records cannot be modified retroactively without the consensus of the entire network namely all of the subsequent blocks in the chain.
The essential security principles, methods and controls for blockchain applications. Identity and access management, key management, data privacy, secure communication, smart contract security, and transaction endorsement are included as part of these principles.
The design structure of a peer-to-peer network of computers that functions as backend for systems and applications The network is constructed as a virtual machine without a central system that manages interactions among the nodes.
The study of essential blockchain components and concepts such as peer networks, smart contracts, memberships, events, ledgers, system integration, wallets, and system management.
The different mechanisms and their characteristics that ensure a transaction is propagated correctly in the distributed ledger.
Re-usable blockchain solution approaches including non-blocking user interface design, asynchronous API design, secure synchronization , time stamping, enterprise business integration, simple assets, and assets with rules.
Key historical facts and milestones in the blockchain technology as well as the implementations and applications that emerged on top of it.
Essential blockchain and cryptocurrency mining types and principles include ASIC mining, GPU mining, CPU mining, Cloud mining, and Mining pools.
The different levels of openness of a blockchain, their differences, and their advantages and disadvantages. Examples are permissionless, permissioned, and hybrid blockchains
The different integrated infrastructures, each with their own characteristics, that allow the development of blockchain applications. Examples are multichain, ehtereum, hyperledger, corda, ripple, openchain, etc.
The terms used in blockchain sector which include account, attestation, block, Byzantine fault, coin, consensus, crypto-, decentralized application (DApp), DeFi, digital identity, distributed ledger, encryption, ether, fork, hyperledger, Merkle tree, mining, node, NFT, Proof of Authority, Proof of Stake, Proof of Work, public/private blockchain, trustless, validity proof, 51% attack, etc.
The study of diverse blockchain business models such as Blockchain-Based Software Products, Blockchain Development Platforms, Token Economy-Utility Token Business Model, P2P Blockchain Business Model, as well as Blockchain as a Service Business Model (BaaS).
The knowledge of decentralised identifiers (DIDs). DIDs enable verifiable and decentralised digital identity related to different subjects determined by the controllers of these descentralised identifiers (e.g. an organisation, individual person, data model, abstract entity).
The different software frameworks, and their characteristics, advantages and disadvantages, that allow the development of decentralized applications on blockchain infrastructure. Examples are truffle, embark, epirus, openzeppelin, etc.
The process of providing, managing, auditing and securing digital identities to facilitate and enable approved, authentic requests or connections to view company data, services, systems, networks, and assets.
The knowledge of essential blockchain consensus protocols including Proof-of-Work (PoW), Proof-of-Stake (PoS), Delegated Proof-of-Stake (DPoS), Practical Byzantine Fault Tolerance (pBFT).
The knowledge of the essential distributed ledger vulnerabilities including exchange hack, 51% attack, exitscam, extortion, DeFi, phishing, and drawing conclusions.
The distributed ledger theories, applied principles, architectures and systems, such as decentralization, consensus mechanisms, smart contracts, trust, etc.
The ICT tools used to test and debug programs and software code, such as GNU Debugger (GDB), Intel Debugger (IDB), Microsoft Visual Studio Debugger, Valgrind and WinDbg.
A software program in which the terms of a contract or transaction are directly coded. Smart contracts are executed automatically upon fulfilment of the terms and therefore require no third party to oversee and register the contract or transaction.
Essential Smart Contract programming languages include Solidity, Rust, JavaScript, Vyper and Yul.
The software packages, modules, web services and resources that cover a set of related functions and the databases where these reusable components can be found.
The study of the areas in which blockchain is implemented. Banking and Finance, Businesses (Supply Chain Management, Healthcare, Real Estate, Media, Energy), and Government are some examples of this application areas.
The knowledge of applications where blockchains can provide significant added value. They include applications in Banking and Finance (International Payments, Capital Markets, Trade Finance, Regulatory Finance and Audit, Money Laundering Protection, Insurance, Peer-to-Peer Transactions) and Business (Supply Chain Management, Healthcare, Real Estate, Media, Energy), Government (Identity Management, Voting, Taxes, Non-Profit Agencies, Compliance/Regulatory Oversight).
Key legal regulations around the blockchain, both existing and emerging ones. In Europe, regulations around the Digital Euro and Crypt-Assets, as well as the Pan-European blockchain regulatory sandbox are considered most essential.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms (e.g. object oriented programming, functional programming) and of programming languages.
The study of mathematical models of strategic decisions among stakeholders. It has applications in all fields of social science, as well as in systems science, computer science and logic. Essential concepts are the Nash Equilibrium and the Prisoner's Dilemma.
No competences in this bucket.
Repair computer code by analysing testing results, locating the defects causing the software to output an incorrect or unexpected result and remove these faults.
Design processes for blockchain-based systems which involves the clear identification of problems to be solved through blockchain, specifying the business requirements, identifying a consensus mechanism, choosing the most suitable blockchain platform, designing the blockchain nodes, planning the blockchain configuration, building blockchain APIs, designing user interfaces, and integrating accelerators for optimization.
Explain the consequences, impact, and implications of using blockchain technology on the business processes they drive, as well as on a larger scale, also including social and ecological aspects.
Identify blockchain innovation opportunities through the introduction of blockchain-based solutions, within a particular sector, but also across sectors. Understand the consequences of essential blockchain properties such as transparency and security for driving forward innovations.
Analyse, understand and apply the information provided regarding technical conditions.
Recognise opportunities for the introduction of blockchain-based solutions in various application domains (e.g., supply chains, product-service systems, finances, etc.), as well as their transformative potential in the concerned application area in terms of people’s skills, roles they need to fulfill, and processes these roles contribute to. Identify the added value blockchain-based solutions would bring with respect to traditional solutions.
Recognise risks associated with blockchain and cryptocurrency. Apart from standard risks associated with the business processes they are driving, blockchains bear value-transfer risks linked to the peer-to-peer type of value transfer. Risk are also linked to smart contracts as digital representations of more or less complex business relationships.
Utilise reusable solutions, formalised best practices, to solve common ICT development tasks in software development and design.
Utilise collections of codes and software packages which capture frequently used routines to help programmers simplify their work.
Use software tools (CASE) to support the development lifecycle, design and implementation of software and applications of high-quality that can be easily maintained.
Analyse decentralized applications for their specific performance requirements in terms of key functions and properties such as identify management, access control, data security, transparency, performance, scalability, and maintainability.
Develop new blockchain architectures that address properties and priorities as they are needed by specific applications. Argue the advantages and shortcomings of such new architectures with respect to existing ones.
Evaluate blockchain architectures with respect to their suitability for specific applications, given the specific importance and priorities of architecture properties for these applications.
Explain the principles of the system architecture underlying distributed ledger technologies (DLT), in particular blockchain. Understand the DLT system architecture in terms of functional components in the core and service layers, the application service platform, DLT services, and external services. Understand the interaction of these components to provide DLT-based functions such as consensus mechanism functions, ledger management functions, smart contract mechanism functions, and distributed application management functions.
Implement smart contracts for various applications, and in the most important smart contract frameworks such as Bitcoin and Ethereum, and in the most suitable programming languages such as Solidity, Rust, JavaScript, Vyper and Yul.
Outline blockchain-based identity management and access control in terms of how they work, what their benefits are compared to current solutions, and how they can be applied for specific applications.
No competences in this bucket.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Angular.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in C++.
The technologies which enable access to hardware, software, data and services through remote servers and software networks irrespective of their location and architecture.
Digital and encrypted currency or medium of exchange with decentralized network grounded on blockchain technology, since the value of the cryptocurrency is not managed or maintained by central authorities, as is the case with the Euro.
The conversion of electronic data into a format which is readable only by authorized parties which use key encryption techniques, such as Public Key Infrastructure (PKI) and Secure Socket Layer (SSL).
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Java.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in JavaScript.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Scala.
The principles and fundamentals of service-oriented modelling for business and software systems that allow the design and specification of service-oriented business systems within a variety of architectural styles, such as enterprise architecture and application architecture.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Solidity.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in TypeScript.
The techniques and principles of software development, such as analysis, algorithms, coding, testing and compiling of programming paradigms in Vyper.
The science of analysing and making decisions based on raw data collected from various sources. Includes knowledge of techniques using algorithms that derive insights or trends from that data to support decision-making processes.
No competences in this bucket.
Modify the current design and development activities of technological projects to meet changes in requests or strategies. Ensure that the organisation's or client's needs are met and that any sudden requests which were not previously planned are implemented.
Create software or device components which enable interaction between humans and systems or machines, using appropriate techniques, languages and tools so as to streamline interaction while using the system or machine.
Develop website layout and enhance user experience based on provided design concepts.
Utilise computer languages that are syntactically distinguishable from the text, to add annotations to a document, specify layout and process types of documents such as HTML.
No competences in this bucket.