Aims and Fit of Module

•	To demonstrate how the study of algorithmics has been applied in a number of different domains. 

•	To introduce formal concepts of measures of complexity and algorithms analysis. 

•	To introduce fundamental methods in data structures and algorithms design. 

•	To make students aware of computationally hard problems and possible ways of coping with them.

Learning outcomes

A Describe the different classes of algorithms and design principles associated with them; Illustrate these classes by examples from classical algorithmic areas, current research and applications.
B Apply different classes of data structures and algorithms to solve given problems and measure their complexity
C Implement efficient algorithms to solve given problems based on algorithm design techniques
D Have fluency in using basic data structures in conjunction with classical algorithmic problems
E Be familiar with formal theories providing evidence that many important computational problems are inherently intractable, e.g., NP-completeness.

Method of teaching and learning

The students are assisted during the practical laboratory classes by demonstrators. The teaching philosophy of the module follows very much the philosophy of Syntegrative Education. This means that the teaching delivery pattern, which follows more intensive block teaching, allows more meaningful contributions from industry partners. This philosophy is carried through also in terms of assessment, with a reduction in the use of exams and an increase in coursework, especially problem-based assessments that are project-focused. This module will be delivered through a combination of lectures, group discussions, case studies, hands-on practical exercises, etc. Lectures and group discussions are conducted using the Problem-Based Learning paradigm focusing on student-centred learning, where students develop critical thinking and problem-solving skills to address open-ended problems that lack a straightforward solution. This module is taught with an emphasis on student learning through practice and by projects, facilitated by a module leader, and where appropriate, industrial mentors. Students can identify particular areas of learning needs or interests according to the available project(s). They will conduct independent research to gather information and resources to better define the problem. Progress towards the learning outcomes will be facilitated and monitored, where students are guided to progressively address the given problem through tasks. Independent learning will form an important aspect of the educational activities in this module. Assessed by a project, students shall gain practical experience in undertaking independent study and research on industry-focused real-world problems.