Module COMP52215: Continuous and Discrete Systems

Department: Computer Science

COMP52215: Continuous and Discrete Systems

Prerequisites

• Core Ib

Corequisites

• n/a

Excluded Combination of Modules

• n/a

Aims

• Provide advanced knowledge and critical understanding of paradigms, fundamental ideas, algorithms and methods behind the modelling and simulation of continuous systems (partial differential equations)
• Provide advanced knowledge and critical understanding of paradigms, fundamental ideas, algorithms and methods behind the modelling and simulation of discrete systems

Content

• Continuous Systems
• Discrete Systems

Learning Outcomes

• Understanding and critical reflection of advanced ideas, numerical techniques and algorithms used to study discrete models
• Understanding and critical reflection of advanced ideas, numerical techniques and algorithms used to study continuous models

• Basic familiarity with state-of-the-art algorithms to solve large-scale and data intense challenges
• Competence to translate continuous and discrete problem descriptions into algorithmic formulations; competent and educated selection of appropriate solution algorithms

• Familiarity with advanced paradigms and modern algorithms underlying scientific computing both for discrete and continuous systems

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

• n/a

Teaching Methods and Learning Hours

Summative Assessment

Formative Assessment:

n/a

■ Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University