Applied Maths – I
This module makes use of modelling and algorithms to solve problems involving networks, linear programming and critical path analysis. Simulation is introduced as a modelling technique. A wide variety of problems is considered, and a flexible approach is modelled in this course with due consideration given to the success of models used and the limitations of solutions. This module will provide the foundation of the mathematical concepts for problem-solving in information systems. The module has been divided in two parts: Decision Mathematics (I) which aims to introduce mathematical modelling, algorithms in simple situations and consider of the success of models. The second part deals with Statistics and Probability (I) which aims to introduce data summary techniques, discrete random variables, probability distributions and random sampling.
Principal Learning Outcomes
By the end of module, students will be able to:
• Know and use the mathematical language necessary for communicating ideas in digital and information systems.
• Know probability and distributions to present data.
• Use algorithms, graphs and networks to analyze data.
• Formulate and interpret mathematical models of problems in digital technology systems.
• Apply appropriate mathematical methods to solve problems in digital technology systems.