Long Title:Domain Skills in FinTech
Language of Instruction:English
Module Code:H8DSKFINT
Credits: 5
NFQ Level:LEVEL 8
Field of Study: Computer use
Module Delivered in 1 programme(s)
Module Coordinator: Simon Caton
Module editor: Simon Caton
Teaching and Learning Strategy: Teaching & Learning may take place via lectures, lab work, case studies, class discussions and project work. Classes may take place on or off campus. Where group work is involved, the use of online collaboration tools such as github will be required. All assessment submissions will be online. The ePortfolio will be compiled and submitted using suitable ePortfolio software such as Epsilen or PebblePad.
Learning Environment: Learning may take place both on and off campus using a mix of classroom and computer laboratory environments with access to IT resources. Learners will have access to library resources, both physical electronic and to faculty outside of the classroom where required. Module materials will be placed on Moodle, the Colleges virtual learning environment.
Module Description: The aim of this module is to equip students with the skills necessary to perform effectively within a specific organisation and/or industry context. Typically this will involve a company delivering content aimed at preparing the student for a particular industry certi cation or in the use of a bespoke tool or technology particular to the company.
Learning Outcomes
On successful completion of this module the learner will be able to:
LO1 Explore problems in a speci c subdomain of web technologies and identify appropriate tools for solving the problem
LO2 Apply suitable techniques to solve problems particular to the web technologies domain
LO3 Effectively use domain appropriate tools and applications to a high standard
Pre-requisite learning
Module Recommendations

This is prior learning (or a practical skill) that is required before enrolment on this module. While the prior learning is expressed as named NCI module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
No recommendations listed
Requirements

This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed. You may not enrol on this module if you have not acquired the learning specified in this section.
No requirements listed
 

Module Content & Assessment

Indicative Content
History of Money and Ledger-based Economics
Centralized Ledgers  Functions of Currency  Distributed Consensus  History of Bitcoin  Price Derivation
Basic Cryptography
Terms and De nitions  Hash Functions  Symmetric and Asymmetric Encryption  Digital Signatures
Bitcoin Basics
Bitcoin Community  Bitcoin Addresses and Keys  Bitcoin Transactions  Bitcoin Blockchain Ledger  bitcoin the Unit  Bitcoin the Network  BIPs  Buying and Selling bitcoin  Blockchain Explorers  UTXOs
Mining
Purpose and Function  Algorithm  Mining Pools  Mining Hardware Purpose and Function  Algorithm  Mining Pools  Mining Hardware
Wallets, Clients and Key Management
Wallet Types  Bitcoin Clients  Deterministic Wallets (AKA BIP32)  Passphrase-Encrypted Wallets (AKA BIP38)  Backup  Importing and Exporting
Bitcoin Commerce
Bitcoin as a Merchant  Bitcoin Payment Processors  Secure Payment Protocol (AKA BIP70)
Assessment Breakdown%
Coursework100.00%

Full Time

Coursework
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Continuous Assessment n/a 1,2,3 100.00 n/a
No End of Module Assessment
No Workplace Assessment
Reassessment Requirement
Coursework Only
This module is reassessed solely on the basis of re-submitted coursework. There is no repeat written examination.
Reassessment Description
Learners who fail this module will be required to sit a repeat module assessment where all learning outcomes will be examined. In the instance where a student fails this module, and the company involved deems it unsuitable that they continue in the industry setting, a suitable repeat assessment will be set out by the faculty representative assessing all module learning outcomes to take place in the college.

NCIRL reserves the right to alter the nature and timings of assessment

 

Module Workload

This module has no Full Time workload.
Workload: Part Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture No Description 24 Every Week 24.00
Tutorial No Description 12 Every Week 12.00
Independent Learning No Description 89 Every Week 89.00
Total Hours 125.00
Total Weekly Learner Workload 125.00
Total Weekly Contact Hours 36.00
 

Module Resources

This module does not have any book resources
This module does not have any article/paper resources
This module does not have any other resources
 

Module Delivered in

Programme Code Programme Semester Delivery
HDFINTECH HDip FinTech 2 Optional