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Session: 2022/23
Last modified: 30/09/2020 09:40:54
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Title of Module: Technologies for Business Intelligence |
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Code: COMP11013 |
SCQF Level: 11
(Scottish Credit and Qualifications Framework) |
Credit Points: 10 |
ECTS: 5
(European Credit Transfer Scheme) |
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| School: | School of Computing, Engineering and Physical Sciences |
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| Module Co-ordinator: | Junkang
Feng |
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| Summary of Module |
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Business intelligence (BI) is an umbrella term that refers to the processes for collecting and analysing data, the technologies used in the processes, and the information obtained from these processes with the purpose of facilitating corporate decision making. In this module we focus on the key technologies that can form part of a BI implementation: data warehousing, online analytical processing (OLAP), data mining and modern ‘analytics and business intelligence platforms’. The aim is to provide students with an understanding of key traditional and modern BI technologies and basic practical skills of using these technologies in tackling BI problems. Theoretical and methodological discussions will be provided in lectures, and lab based coursework will be used to develop students’ aforementioned practical skills and to enhance their theoretical and conceptual understanding covered with this module. This module is also available in distance learning format.
During the course of this module students will develop their UWS Graduate Attributes (https://www.uws.ac.uk/current-students/your-graduate-attributes/). Universal: Academic attributes - critical thinking and analytical & inquiring mind; Work-Ready: Academic attributes - knowledge of key traditional and modern BI technologies and implementation skills with BI software; Successful: autonomous, driven and resilient.
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| Module Delivery Method |
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| Face-To-Face | Blended | Fully Online | HybridC | HybridO | Work-based Learning |
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Face-To-Face
Term used to describe the traditional classroom environment where the students and the lecturer meet synchronously in the same room for the whole provision.
Blended
A mode of delivery of a module or a programme that involves online and face-to-face delivery of learning, teaching and assessment activities, student support and feedback. A programme may be considered “blended” if it includes a combination of face-to-face, online and blended modules. If an online programme has any compulsory face-to-face and campus elements it must be described as blended with clearly articulated delivery information to manage student expectations
Fully Online
Instruction that is solely delivered by web-based or internet-based technologies. This term is used to describe the previously used terms distance learning and e learning.
HybridC
Online with mandatory face-to-face learning on Campus
HybridO
Online with optional face-to-face learning on Campus
Work-based Learning
Learning activities where the main location for the learning experience is in the workplace.
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| Term(s) for Module Delivery |
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(Provided viable student numbers permit).
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| Term 1 | | Term 2 | | Term 3 | |
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| Learning Outcomes: (maximum of 5 statements) |
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On successful completion of this module the student will be able to:
L1.
Critically evaluate key traditional and modern BI technologies through the appraisal of relevant theoretical and practical aspects
L2.
Demonstrate practical skills in the use of key BI technologies
L3.
Critically appraise development methodologies/techniques used in the development of a BI implementation
L4.
Demonstrate competence in analysis and evaluation of core functionalities of key BI technologies |
| Employability Skills and Personal Development Planning (PDP) Skills |
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| SCQF Headings |
During completion of this module, there will be an opportunity to achieve
core skills in:
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| Knowledge and Understanding (K and U) |
SCQF Level 11.
Understanding of the principles of Data Warehousing, OLAP, Data Mining and Modern analytics and business intelligence platforms.
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| Practice: Applied Knowledge and Understanding |
SCQF Level 11.
Making effective use key BI technologies to achieve BI implementations for specific business objectives.
Practical evaluation of BI software.
Evaluation of development methodologies/techniques used in the development of a BI implementation.
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| Generic Cognitive skills |
SCQF Level 11.
Critical analysis and application of knowledge and judgment about key BI technologies. |
| Communication, ICT and Numeracy Skills |
SCQF Level 11.
Communication through the compilation of a written report suitable for peers, management and specialists. |
| Autonomy, Accountability and Working with others |
SCQF Level 11.
Either substantial autonomy in development activities or responsibility for own contribution to paired/group practical activities. |
| Pre-requisites: |
Before undertaking this module the student should have
undertaken the following:
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Module Code:
| Module Title:
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| Other: | |
| Co-requisites | Module Code:
| Module Title:
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* Indicates that module descriptor is not published.
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| Learning and Teaching |
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| The module aims to engage students through thought provoking, stimulating and collaborative activities that inspire and challenge students to succeed. All teaching materials are available on the UWS Moodle site for the module. They aim to be accessible and provide a dynamic learning community for students with a discussion forums with student contributions. The fast pace of change of BI technologies provides an ideal opportunity for students to research the latest developments. YouTube and other online tools are used. |
Learning Activities
During completion of this module, the learning activities undertaken to
achieve the module learning outcomes are stated below:
| Student Learning Hours
(Normally totalling 200 hours):
(Note: Learning hours include both contact hours and hours spent on other learning activities) |
| Lecture/Core Content Delivery | 10 |
| Tutorial/Synchronous Support Activity | 0 |
| Laboratory/Practical Demonstration/Workshop | 10 |
| Independent Study | 54 |
| Asynchronous Class Activity | 26 |
| 100
Hours Total
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**Indicative Resources: (eg. Core text, journals, internet
access)
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The following materials form essential underpinning for the module content
and ultimately for the learning outcomes:
Database Systems: A Practical Approach to the Design, Implementation and Management (6th Edition) by T. Connolly and C. Begg, Addison Wesley Publishing Company, 2015.
Fundamentals of Database Systems, Global Edition (7th Edition) by Ramez Elmasri and Shamkant B. Navathe, Person Education Limited, 2017.
Moodle Materials available online. All course materials available electronically are placed on Moodle. These include lecture slides, tutorials, lab sessions, assessments and additional reference material.
Software: Suitable tools for data management and BI such as Microsoft SQL Server 2012 or newer, Tableau Desktop 2019.2 or newer, or Microsoft Power BI Desktop December 2019 Update (2.76.5678.661).
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(**N.B. Although reading lists should include current publications,
students are advised (particularly for material marked with an asterisk*) to
wait until the start of session for confirmation of the most up-to-date
material)
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| Engagement Requirements |
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In line with the Academic Engagement Procedure, Students are defined as academically engaged if they are regularly engaged with timetabled teaching sessions, course-related learning resources including those in the Library and on the relevant learning platform, and complete assessments and submit these on time. Please refer to the Academic Engagement Procedure at the following link: Academic engagement procedure |
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Supplemental Information
| Programme Board | Computing |
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| Assessment Results (Pass/Fail) |
No
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| Subject Panel | Business & Applied Computing |
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| Moderator | Carolyn Begg |
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| External Examiner | C Luo |
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| Accreditation Details | Not Applicable |
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| Version Number | 2.15 |
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| Assessment: (also refer to Assessment Outcomes Grids below) |
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| Practical Assignment or Critical Report 100% |
(N.B. (i) Assessment Outcomes Grids for the module
(one for each component) can be found below which clearly demonstrate how the learning outcomes of the module
will be assessed.
(ii) An indicative schedule listing approximate times
within the academic calendar when assessment is likely to feature will be
provided within the Student Handbook.)
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Assessment Outcome Grids (Footnote A.)
Footnotes
A. Referred to within Assessment Section above
B. Identified in the Learning Outcome Section above
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Note(s):
- More than one assessment method can be used to assess individual learning outcomes.
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Schools are responsible for determining student contact hours. Please refer to University Policy on contact hours (extract contained within section 10 of the Module Descriptor guidance note).
This will normally be variable across Schools, dependent on Programmes &/or Professional requirements.
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| Equality and Diversity |
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Nothing in the module should present difficulties for students on the basis of their gender, ethnicity, or sexual orientation. In relation to students with disabilities, when a student discloses a disability the individual module tutor, in consultation with the School’s Enabling Support co-ordinator, will agree any appropriate adjustments to be made. Students should note that the language of instruction is English and that they will need to have a reasonable grasp of the language in order to keep abreast of the teaching materials and in submitting assessed work.
UWS Equality and Diversity Policy |
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(N.B. Every effort
will be made by the University to accommodate any equality and diversity issues
brought to the attention of the School)
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