Algorithms
6 Credits (ECTS)
Algorithms
Get 70% back via Tax Credit
€683 refund on this module
Module Description
This module will equip learners with the basic understanding of algorithms, their importance, their building blocks, their complexity evaluation, and designing effective and efficient algorithms, and their applications.
Learners will also learn various data structures such as Arrays, Graphs, and memory representations.
Learners will learn various Algorithm Design Techniques such as Divide and Conquer Algorithms, Greedy Algorithms, Dynamic Programming, Back Tracking Algorithms.
They will also get exposure to some of the popular sorting, searching, graph, pathfinding, and network flow algorithms.
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:
- Critically analyse algorithms, their complexity, and their efficiency.
- Thoroughly understand Graphs, its representation and various operations performed.
- Rigorously assess various sorting, searching, graph, pathfinding, and network flow algorithms.
- Judiciously Examine various techniques to select the most suitable algorithms for a given programming task.
- Exhaustively evaluate (apply) various algorithm design techniques.
Knowledge:
At the end of the module/unit the learner will have been exposed to the following:
- Discuss Data Structure and Algorithms including its efficiency, best-case, average-case and worst-case analysis.
- Examine components of sorting and searching algorithms.
- Discuss different types of algorithms and their applicability.
- Explain Algorithm Design Techniques.
Key indicative topic areas cover:
- Introduction to Data Structure and Algorithm
- Sorting Algorithms
- Searching Algorithms
- Graph Algorithms
- Path Finding Algorithms
- Network Flow Algorithms
- Algorithm Design Techniques
Skills:
At the end of the module/unit the learner will have acquired the following skills:
- Rigorously examine and use various sorting and search algorithms.
- Thoroughly assess and apply the different graph and pathfinding algorithms.
- Judiciously analyse and apply various network flow algorithms.
- Critically evaluate and apply various algorithm design techniques.
Judgment Skills and Critical Abilities:
The learner will be able to:
- Master problem- solving skills related to algorithms and working out the issues presented in real-life situations.
Module-Specific Communication Skills:
The learner will be able to:
- Communicates ideas, problems, and solutions related to algorithms to both specialist and non-specialist audiences.
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.