CORPFIN 3006 - Blockchain Crypto and Big Data
North Terrace Campus - Semester 1 - 2021
General Course Information
Course Code CORPFIN 3006 Course Blockchain Crypto and Big Data Coordinating Unit International Centre for Financial Services Term Semester 1 Level Undergraduate Location/s North Terrace Campus Units 3 Contact Up to 3 hours per week Available for Study Abroad and Exchange Y Course Description This is an introductory course on Blockchain, Cryptocurrencies and Big Data in Financial Services. The topics will include: Blockchain fundamentals; the impact of Blockchain on financial services, introduction to cryptocurrencies, the future of money, Initial Coin Offerings (ICOs), big data, customer data and privacy, financial services business models and the impact of artificial intelligence and machine learning. Test and assignments will be given to enable the student to gain practical experience in using these techniques
Course Coordinator: Dr Charlie Hargroves
The full timetable of all activities for this course can be accessed from Course Planner.
Course Learning OutcomesOn successful completion of this course students will be able to:
1. Understand the core functionality and utility of Blockchain and Cryptocurrency technologies.
2. Identify specific applications of such technology that have value to the financial services industry.
3. Explain the positive and negative implications of such technologies for the financial services industry.
4. Understand how Big Data and Artificial Intelligence can complement Blockchains and Cryptocurrencies.
5. Communicate the need for financial services companies to explore the opportunities presented by Blockchain and Cryptocurrencies, complimented by Big Data and applications of Artificial Intelligence.
6. Advise on the specific application of such technologies to the financial services industry now and in the future.
University Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
University Graduate Attribute Course Learning Outcome(s) Deep discipline knowledge
- informed and infused by cutting edge research, scaffolded throughout their program of studies
- acquired from personal interaction with research active educators, from year 1
- accredited or validated against national or international standards (for relevant programs)
2, 4, 5 Critical thinking and problem solving
- steeped in research methods and rigor
- based on empirical evidence and the scientific approach to knowledge development
- demonstrated through appropriate and relevant assessment
All Teamwork and communication skills
- developed from, with, and via the SGDE
- honed through assessment and practice throughout the program of studies
- encouraged and valued in all aspects of learning
1, 2, 3 Career and leadership readiness
- technology savvy
- professional and, where relevant, fully accredited
- forward thinking and well informed
- tested and validated by work based experiences
All Intercultural and ethical competency
- adept at operating in other cultures
- comfortable with different nationalities and social contexts
- able to determine and contribute to desirable social outcomes
- demonstrated by study abroad or with an understanding of indigenous knowledges
3, 5, 6 Self-awareness and emotional intelligence
- a capacity for self-reflection and a willingness to engage in self-appraisal
- open to objective and constructive feedback from supervisors and peers
- able to negotiate difficult social situations, defuse conflict and engage positively in purposeful debate
3, 5, 6
Required ResourcesThe following textbook is required for this course: 'Blockchain Revolution' by Don and Alex Tapscott (Updated Edition)
Online LearningThe course will be delivered online.
Learning & Teaching Activities
Learning & Teaching ModesThe course will be primarily delivered through three activities:
- Interactive Seminars
- Assignments (Individual and Group)
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.The University expects full-time students (i.e. those taking 12 units per semester) to devote a total of 48 hours per week to their studies. This means that for a three-unit course you are expected to commit approximately 9 hours of private study outside of your regular classes. This time commitment will include reading relevant materials, preparing for seminars, and other assessment tasks.
Learning Activities Summary
Week 1 Introduction to Blockchain and Cryptocurrency (Functionality and Utility)
Week 2 The Use of Digital Smart Contracts in the Financial Services Industry
Week 3 Blockchain Use-Cases relevant to the Financial Services Industry - Part 1
Week 4 Blockchain Use-Cases relevant to the Financial Services Industry - Part 2
Week 5 Implications of Blockchain for Financial Services - Part 1 (Private Study)
Week 6 Implications of Blockchain for Financial Services - Part 2
Week 7 Introduction to the Use of Big Data and AI to compliment Blockchains
Week 8 Specific Application of Blockchain to the Financial Services Industry - Part 1
Week 9 Specific Application of Blockchain to the Financial Services Industry - Part 2
Week 10 Group Assignment Working Session
Week 11 Course Review and Preparation for Final Assessment Item
Week 12 Final Assessment Item
The University's policy on Assessment for Coursework Programs is based on the following four principles:
- Assessment must encourage and reinforce learning.
- Assessment must enable robust and fair judgements about student performance.
- Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
- Assessment must maintain academic standards.
- Participation 5%
- Individual Assignment 25%
- Group Assignment 30%
- 2 hour OPEN book Final Test 40%
Assessment DetailParticipation (5%): It is assumed that all students will participate fully in all sessions and 5% will be awarded for full attendance and active participation.
Individual Written Report (25%): A written submission of no longer than 1,500 words, with a 25% weighting, will be undertaken by students and submitted via MyUni by the end of Week 5. The assessment will enable students to receive early feedback on their progress in the course.
Group Assignment (30%): This is a group assignment in teams of 5 students with a 35% weighting. Students will be required to write a report on a specific application of Blockchain to the financial services industry as instructed in class. The assignment is designed to enable students to write a report from a “consultant’s” perspective.
Test (40%): All students must complete a 2 hour open book test via MyUni that includes multiple choice and short answer questions drawn from all material presented in the course.
Students must complete ALL assessment components for this course.
SubmissionPresentation of Assignments
• Submission of the individual and group assignment will be made via Turn-it-In in MyUni.
• Please attach an ‘Assignment Cover Sheet’, which is signed and dated by you before submission.
• The test will be undertaken via MyUni.
Lecturers can refuse to accept assignments, which do not have a signed acknowledgement of the University’s policy on plagiarism.
Late Assignment Submission
Students are expected to submit their work by the due date to maintain a fair and equitable system. Extensions will generally only be given for medical or other serious reasons. All requests for extensions must be emailed to the lecturer in charge of the course before the due date. Each request will be assessed on its merits. A late assignment (without prior arrangement) will be penalised by a 5% mark reduction for each day that it is late.
Grades for your performance in this course will be awarded in accordance with the following scheme:
M10 (Coursework Mark Scheme) Grade Mark Description FNS Fail No Submission F 1-49 Fail P 50-64 Pass C 65-74 Credit D 75-84 Distinction HD 85-100 High Distinction CN Continuing NFE No Formal Examination RP Result Pending
Further details of the grades/results can be obtained from Examinations.
Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.
Final results for this course will be made available through Access Adelaide.
The University places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.
SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.
- Academic Support with Maths
- Academic Support with writing and speaking skills
- Student Life Counselling Support - Personal counselling for issues affecting study
- International Student Support
- AUU Student Care - Advocacy, confidential counselling, welfare support and advice
- Students with a Disability - Alternative academic arrangements
- Reasonable Adjustments to Teaching & Assessment for Students with a Disability Policy
- LinkedIn Learning
Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
- Academic Credit Arrangement Policy
- Academic Honesty Policy
- Academic Progress by Coursework Students Policy
- Assessment for Coursework Programs
- Copyright Compliance Policy
- Coursework Academic Programs Policy
- Elder Conservatorium of Music Noise Management Plan
- Intellectual Property Policy
- IT Acceptable Use and Security Policy
- Modified Arrangements for Coursework Assessment
- Student Experience of Learning and Teaching Policy
- Student Grievance Resolution Process
Students are reminded that in order to maintain the academic integrity of all programs and courses, the university has a zero-tolerance approach to students offering money or significant value goods or services to any staff member who is involved in their teaching or assessment. Students offering lecturers or tutors or professional staff anything more than a small token of appreciation is totally unacceptable, in any circumstances. Staff members are obliged to report all such incidents to their supervisor/manager, who will refer them for action under the university's student’s disciplinary procedures.
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