## Mathematical Modelling/Computational Science (CA 659)

##### Lectures
• Lecture Notes In book form (pdf)
• A webpage dealing with some graph plotting stuff can be found here
• Student Surveys

##### Student Consultation Times
• Tues 3pm to 4pm
• Thurs 3pm to 4pm
• or by appointment on email
##### Tutorial and Lecture Timetable

 Week Handouts in pdf (2Up) Comments 1 Introduction (2Up) Time Series Analysis Pt 1 (2UP) Introduction to the Module: Definitions of Math Modelling & Comp Sci Time Series Analysis: Part 1: Introduction 2 Time Series Pt 2 & 3 (2UP) Exercise1 Time Series Analysis: Part 2:Trends in Time Series First Exercise Sheet attached 3 Lecture 3Exercise2 Time Series Analysis: Part 3:Time Series Decomposition Second Exercise Sheet attached 4 Time Series Pt 4 (2UP) Time Series Analysis: Part 4: Advanced Models of Univariate Time Series 5 Discrete Models Pt 1 (2UP)Ex3 (Ex3Sols) Discrete Models Part 1: Difference Equations and their ApplicationsExercise sheet 3 attached 6 Discrete Models Pt 2 (2UP)Ex4 (Ex4Sols) Discrete Models Part 2: Leslie Matrices, Markov Processes & ApplicationsExercise Sheet 4 attached 7 Pt3 (2UP)Pt1(2UP)Ex5 (Ex5Sols) Discrete Models Part 3: Logistic Growth Model & ApplicationsContinuous Models Part 1: Growth & DecayExercise Sheet 5 attached 8 Pt1(2UP) Continuous Models Part 1: Growth & Decay (cont'd)Exercise Sheet 6 attachedLinks to extra material for examples: link1 & link2 9 Pt2(2UP)Ex7 (Ex7Sols) Continuous Models Part 2: Linear ModelsExercise Sheet 7 attached 10 Pt3(2UP)Exercise8 Continuous Models Part 3: Non-Linear Models of InteractionExercise Sheet 8 attached 11 Pt4(2UP) Continuous Models Part 4: Infectious Diseases 12 Revision Lecture