BE226-5-SP-SO:
Intelligent Enterprise Systems
2024/25
Essex Business School
Southend Campus
Spring
Undergraduate: Level 5
Future
15
09 April 2024
Requisites for this module
(none)
(none)
(none)
(none)
(none)
BSC N130 Business and Analytics,
BSC N131 Business and Analytics (including Placement Year),
BSC N132 Business and Analytics (including Year Abroad),
BSC N133 Business and Analytics (including Foundation Year),
BSC N133CO Business and Analytics (including Foundation Year)
This module comprehensively reviews the principles and applications of information systems and business intelligence in different types of businesses and organisations.
The role of information systems, business intelligence, and intelligent systems in modern enterprises, supply chains and operations are reviewed and discussed. The most recent advances in technology, their applications and implications in managing businesses are discussed.
Furthermore, this module provides a detailed exploration of Enterprise Resource Planning (ERP) systems, encompassing their operations, applications, platforms, software packages, implementation strategies, and analytical aspects. Issues to be considered in the implementation and use of these packages are highlighted and discussed.
The aims of this module are:
- To introduce students to key concepts, current tools, and methodologies within the Intelligent Enterprise Systems domain.
- To provide students with an understanding to cultivate practical skills and knowledge essential for deploying intelligent technologies in organisational contexts.
- To enable students to develop the confidence to apply intelligent enterprise systems for data-driven decision-support in different organisations and industries.
By the end of this module, students will be expected to be able to:
- Demonstrate a critical understanding of relevant theories and techniques of intelligent business information systems to analyse contemporary issues and devise solutions.
- Demonstrate a comprehensive understanding of the roles and the impact of different types of information systems that support the decision-making process within businesses.
- Critically evaluate the pivotal role of intelligent technologies in effective decision-making and decision support within practical business scenarios.
- Identify, explain and evaluate the potential of Intelligent Enterprise Systems in supporting complex decision-making processes within real-world business environments.
Transferable Skills
- Critically analyse issues in relation to business information systems and the role of intelligence in these systems.
- Critically analyse the challenges associated with the implementation of intelligent enterprise systems.
- Critically evaluate and demonstrate the role of Enterprise Resource Planning (ERP) systems in businesses and the organisational decision making processes.
Syllabus information
The indicative list of subjects and topics in this module are:
- Information Systems and Information Technology
- Introduction to Information Systems
- System development
- Specialised Information Systems
- Business Information Systems and Business Intelligence
- Database Systems
- Intelligent Systems and Artificial Intelligence (AI)
- Business Intelligence and Analytics
- Enterprise Systems
- Transactional Process vs. Enterprise Systems
- Introduction to Enterprise Resource Planning (ERP) Systems
- Review of ERP Systems
This module will be delivered via:
- One 1-hour seminar per week
- One 1-hour lecture per week
The following learning and teaching methods will inform the pedagogic structure of the course: lectures, case studies, class exercises, group work, and signposting to other resources and support.
Students will be encouraged and required to refer to a wide range of resources covering textbooks and academic peer reviewed journal articles, to build an understanding of theoretical concepts and refer to online platforms to follow current trends and practices concerning business analytics and decision-making tools.
The lectures will be developed around key concepts as mentioned in the indicative module content and will use a range of examples and cases from practice to demonstrate the application of theoretical concepts.
This module does not appear to have a published bibliography for this year.
Assessment items, weightings and deadlines
| Coursework / exam |
Description |
Deadline |
Coursework weighting |
Exam format definitions
- Remote, open book: Your exam will take place remotely via an online learning platform. You may refer to any physical or electronic materials during the exam.
- In-person, open book: Your exam will take place on campus under invigilation. You may refer to any physical materials such as paper study notes or a textbook during the exam. Electronic devices may not be used in the exam.
- In-person, open book (restricted): The exam will take place on campus under invigilation. You may refer only to specific physical materials such as a named textbook during the exam. Permitted materials will be specified by your department. Electronic devices may not be used in the exam.
- In-person, closed book: The exam will take place on campus under invigilation. You may not refer to any physical materials or electronic devices during the exam. There may be times when a paper dictionary,
for example, may be permitted in an otherwise closed book exam. Any exceptions will be specified by your department.
Your department will provide further guidance before your exams.
Overall assessment
Reassessment
Module supervisor and teaching staff
No
No
No
No external examiner information available for this module.
Available via Moodle
No lecture recording information available for this module.
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