Decision Support Systems and Expert Systems
6 Credits (ECTS)
Decision Support Systems and Expert Systems
Get 70% back via Tax Credit
€683 refund on this module
Module Description
This module has two parts. The first part will equip learners with the ability to understand and analysing information and information systems in organisations.
It will also provide students with exposure and understanding of technical and organisational aspects of decision support systems (DSS) and expert systems, their importance, their building blocks, their management, and their applications.
Learners will also learn to analyse an organization’s need for a DSS, to design, to implement and to validate a DSS.
The second part of the module will equip learners with the ability to understanding and designing expert systems (ES) in organizations.
It will provide a theoretical framework, design methodologies, and applications of ES. The learners will learn CLIPS language, which they can use for developing their own ES.
Through case studies, they will learn how they can integrate theory to develop fully functional ES (using CLIPS).
Entry Requirements
Candidates who apply for this course must possess one of the following:
- a Level 6 degree related to AI/Computer-Science/Mathematics/Electronics;
OR
- a Level 6 degree not related to AI/Computer Science/Mathematics/Electronics and a minimum of two years’ relevant experience;
OR
- a Level 5 diploma or higher diploma and five years’ of relevant work experience.
Target Audience
This course is targeted at:
- Industry professionals working in different domains, including Technology, Engineering, Science, IT, Finance, Accountancy, Management, Marketing, Insurance, Banking, Gaming, Healthcare, Medicine, Pharmaceutical, Human Resources, Psychology, Blockchain, Legal, Administration, Policy Making, Digital Art, Archaeology, Architecture, Education and other related areas.
- Recent graduates with degrees in Computer Science, Technology, Marketing, Finance, Economics, Accountancy, Management, HR, Law, Engineering, Science, Medicine, Psychology, Digital Art, Game Development, Archaeology, Architecture or Business.
- Mid-career-break professionals looking for opportunities to return to or change their career.
The target group may also be extended to positions such as that of wedding manager, transport manager, maintenance manager, operations manager, marketing manager, conference manager and even that of general manager.
Career Paths
The programme prepares for positions such as and not limited to:
- Compliance Supervisor/Manager/Officers
- Anti-Money Laundering Managers
- Money Laundering Reporting Officer and their deputies
- Law enforcement agencies and supervisory and regulatory authorities
- Managers with responsibilities for internal AML controls
- Risk Managers
- Director of Compliance
How you’ll be assessed
The course comprises:
- Evening classes for part-time courses.
- Classes held throughout the day for full-time courses.
- Guided learning, presentations, comprising synchronous online discussions, tutorials and/or videos.
- Self-study hours comprising research, reading and assignment work.
Assessment
Assessment is carried out via two mandatory components:
- Modular Assessment
- Summative Assessment
The programme includes different forms of assessment which allow for and promote students’ critical engagement. The formative and summative assessment tasks may include an in-class assignment and/or a home-based written assignment using diverse assessment tools which may take the form of online and in-class discussions, examinations, case studies, reports, proposals, essays, and presentations, etc., as applicable to the diverse modules.
Additional Info
Upon successful completion of this course, students will be eligible for a 70% refund of the cost through the ‘Get Qualified’ scheme.**
Due to the modular structure of the course, you may also opt to take individual modules as stand-alone. The entry requirements still apply.***
*Prices are applicable to students who reside in Malta at the time of applying.
**Terms and conditions apply.
Learning Outcomes
Competences:
At the end of the module/unit the learner will have acquired the responsibility and autonomy to:
- Exhaustively evaluate the need for and application of DSS and ES in an organisation;
- Judiciously examine various types of DSS and their suitability for their organisation in terms of efficiency and effectiveness in an organisation.
- Rigorously assess various ES designs and the efficiency and effectiveness of an ES in an organization.
- Identify and asesss the need for data warehouse and data mining techniques for a DSS or ES.
Knowledge:
At the end of the module/unit the learner will have been exposed to the following:
- Classify Complex Systems in context of complexity of real-world systems or domains.
- Discuss Evolution of Decision Support Systems (DSS) Knowledge Discovery in a DSS.
- Examine the theoretical foundation of Expert System.
- Explore/analyse the concepts of Knowledge Discovery and ES Architectures .
Key indicative topic areas cover:
- Introduction to Complex Systems and decision making
- Evolution of Decision Support Systems
- Knowledge Discovery in a DSS
- Expert Systems (ES)
- The theoretical foundation of ES
- Knowledge Discovery and ES Architectures
Skills:
At the end of the module/unit the learner will have acquired the following skills:
- Apply various DSS and ES;
- Judiciously examine organisations requirements of DSS and ES.
- Design their own ES using CLIPS.
- Rigorously assess the effectiveness and benefits of DSS and ES.
- Critically evaluate and apply various DSSes and Eses.
Judgment Skills and Critical Abilities:
The learner will be able to:
- Master problem- solving skills by applying DSS and ES
Module-Specific Communication Skills:
The learner will be able to:
- Communicates ideas, problems, and solutions to both specialist and non-specialist audiences using a range of DSS and ES techniques.
Module-Specific Learner Skills:
The learner will be able to:
- Undertake independent and self-directed study through primary and secondary research.
Module-Specific Digital Skills and Competences:
The learner will be able to:
- Navigate through the online learning platform to find assignments, discussion boards, literature, tutorials etc.