【UMADQK153】Financial Technology

Module learning outcomes assessed by this task:

MO1. Analyse the effect of disruptive technology developments and opportunities provided by technological innovation in the financial services sector;

MO3. Critically evaluate the use of fintech within business;

MO5. Communicate clearly and effectively, with confidence on topics of Blockchain, Big Data and AI.

Completing your assessment

What am I required to do on this assessment?

You need to submit two files below.

File 1: A Jupyter Notebook file which you can choose one task below to do:

1. A simple inventory management system. The system will take input from users, keep track of items (name, volume/number of unit & values) and produce the summary of total value when it is required.
2. A simple machine learning-based prediction model. The prediction model will be developed to forecast stock trends using one of the machine learning models.

Please note: only choose one out of two tasks to do, please do not do both tasks.

You need to include the following details in the first cell of the file:

• Your student number;
• The module name and number;
• Your chosen task title.

File 1 accounts for 10% of the Element B.

File 2: A Word file comprises of two parts:

1. Part A: A reflective log on your programming in the Jupyter Notebook task (max 400 words). You must write about the following three points, however, you can tackle and address each of the three points in any order you like. You should create and use section headings and signposting.

1. Reflect on your learning:

a. What did you learn?

b. Which three topics/things did you find the most interesting/valuable for your study/work? And why?

2. Reflect on your programming (in the Jupyter Notebook task):

a. What task did you choose?

b. Comment on how effectively you were able to apply your skills. How did you overcome any challenges, what did you find particularly enjoyable or satisfying?

3. General reflections (about the programming learning of this module):

a. Comment on your own experience of learning programming throughout the tutorials and how you managed to complete File 1 of Element B. What (if anything) would you add or change in the topics addressed in this part of the syllabus?

The reflective log accounts for 20% of the Element B.

1. Part B: an essay on a relevant topic in Financial Technology. You will be expected to select your own essay question and prepare a max 1,000 word essay. Help to define your essay question will come via the course content and the tutorials. You will select your essay topic from the whitelist that is available on the module Blackboard page under Assignments -> Essay topic selector (or in here). 

You can propose a new topic by using this form. The deadline to send your new topic for approval is 08/12/2023. Any new topic sent after 08/12/2023 will not be considered (and not approved) and you will need to select your topic from the whitelist.

You can only send your proposal for a different topic up to 3 times. Any topic not accepted by the Module Leader after 3 attempts will not be considered and you will need to select your topic from the whitelist.
Please note: your essay title must either be selected from the whitelist or specifically approved by the module leader.  Otherwise your essay will not be marked.

The essay accounts for 70% of Element B.

The first page of your Word file must include:

• Your student number;
• The module name and number;
• Your total word count;

Your chosen essay title (for part B).