ULMS Electronic Module Catalogue |
The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module. |
Title | Database Management | ||
Code | ACFI232 | ||
Coordinator |
Dr D Li Operations and Supply Chain Management Dongli@liverpool.ac.uk |
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Year | CATS Level | Semester | CATS Value |
Session 2024-25 | Level 5 FHEQ | First Semester | 15 |
Pre-requisites before taking this module (other modules and/or general educational/academic requirements): |
ACFI130 Data Analytics; ACFI132 Computational Methods |
Modules for which this module is a pre-requisite: |
Programme(s) (including Year of Study) to which this module is available on a required basis: |
Programme(s) (including Year of Study) to which this module is available on an optional basis: |
Teaching Schedule |
Lectures | Seminars | Tutorials | Lab Practicals | Fieldwork Placement | Other | TOTAL | |
Study Hours |
24 |
12 |
36 | ||||
Timetable (if known) | |||||||
Private Study | 114 | ||||||
TOTAL HOURS | 150 |
Assessment |
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EXAM | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
CONTINUOUS | Duration | Timing (Semester) |
% of final mark |
Resit/resubmission opportunity |
Penalty for late submission |
Notes |
Assessment 1: Group Project Assessment Type: Coursework Weighting: 50 % Size: 1,500 Words Reassessment Opportunity: Yes Penalty for Late Submission: Standard UoL Penalty Applies Anonymous Assess | 0 | 50 | ||||
Assessment 2: Individual Project Assessment Type: Coursework Weighting: 50 % Size: 1,500 words Reassessment Opportunity: Yes Penalty for Late Submission: Standard UoL Penalty Applies Anonymous A | 0 | 50 |
Aims |
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The aim of this module is to equip students with the knowledge and skills necessary to use database management systems and ensure data security in financial services. Upon successful completion of this module, the students will be able to use SQL to read, manage, join, and create datasets/databases and learn approaches related to data security for several financial applications. |
Learning Outcomes |
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(LO1) Students will be able to discuss the importance of database management systems |
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(LO2) Students will be able to apply their knowledge of database management system to address a business problem |
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(LO3) Students will be able to produce a set of recommendations based on the results of the analysis |
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(S1) Communication |
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(S2) IT Literacy |
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(S3) Lifelong Learning |
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(S4) Numeracy |
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(S5) Problem Solving |
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(S6) Organisation |
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(S7) Leadership |
Teaching and Learning Strategies |
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Teaching Method - Lectures Teaching Method – Seminar (6 seminars of 2 hours each) Self-Directed Learning Hours: 114 hours This module is a pre-requisite for the following modules: Skills/Other Attributes Mapping Skills / attributes: Communication Skills / attributes: IT Literacy Skills / attributes: Lifelong Learning Skills / attributes: Numeracy Skills / attributes: Problem solving Skills / attributes: Organization Skills / attributes: Leadership |
Syllabus |
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The module outline: |
Recommended Texts |
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Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module. |