CITS2401 Computer Analysis & Visualisation
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1 FACULTY OF ENGINEERING, COMPUTING AND MATHEMATICS CITS2401 Computer Analysis & Visualisation SCHOOL OF COMPUTER SCIENCE AND SOFTWARE ENGINEERING Topic 13 Revision
2 Notes CAV review Topics Covered Sample Exam Unit Feedback
3 Computer Analysis and Visualisation Computer Analysis and Visualisation aims to provide student with the computing skills they will require to perform simulation and analysis in the Engineering and Science disciplines. The unit examines three commonly used tools: Excel, Matlab and Mathematica. Students will learn the basic principles of problem solving, analysis and visualisation using these tools.
4 Why study CAV? This unit aims to provide the tools that allow you to perform large scale repeatable analysis, simulation and visualization of datasets and models. The work of engineers and scientists frequently involves relating observable data and phenomena to models and simulations. Over the course of your study and career you will may encounter or formulate many different models that you need to simulate, data sets that you need to visualize, or complex procedures and calculations you need to automate. This unit will provide the basic skills to do this.
5 The Tools The tools we will examine cover three different paradigms in scientific computation: Microsoft Excel is a spreadsheet programme that allows basic analysis and organization of data. Mathworks Matlab is a programming environment built around the matrix data structure and widely used in numeric computation. Wolfram Mathematica has a very powerful symbolic computing engine and provides a functional programming environment.
6 Microsoft Excel (10%) Introduction to spreadsheet programs and their uses Entering data in a worksheet Copying, pasting and filling cells Cell referencing Copying, pasting and deleting cell references Naming cell references Spreadsheet formulae Functions Function examples IF, PMT and VLOOKUP Dates Data type Data Types Graphical Representation of Data. Charts in Excel Arrays and Array Formula Spreadsheet Macros
7 Matlab (60%) Matlab environment Numerical arrays Matrix operations and pointwise operations Logical arrays Data-types (integers, floating point numbers, strings) Matlab functions Conditional statements (if, switch) Loop statements (for, while)
8 Matlab Array initialisation Array indexing Input, output and errors Data types Cell arrays Structures Initializing structures and cell arrays Problem Solving Techniques
9 Matlab Visualisation in Matlab plot, hist, polar plot3d, surf ezplot, ezsurf dependent and independent variables plotting options Meshgrid Preallocating arrays Cylinder
10 Matlab Matrix operations Linear transformations Solving linear systems Numerical differentiation Numerical integration Golden-Section search Roundoff error Monte-Carlo Integration
11 Matlab Interpolation Cubic Spline Curve Fitting Symbolic variables Symbolic differentiation Symbolic integration Symbolic vs Numeric computation
12 Mathematica (30%) Symbolic computation: Everything is an expression Notebooks and the Mathematica Kernel Data types Brackets and Conventions Lists (indexing, creation, iteration) List operations (Replace, Map, Apply) Basic operations (calculus, trigonometry, polynomials) 2D-3D plotting
13 Mathematica Solving systems of equations Procedural programming Rule-based programming Functional programming Modules Input and Output Symbolic operations Solve, Simplify, Expand Numeric vs Symbolic Computation
14 Exam 2 hours 10 minutes 40 marks total 20 multiple choice questions (A-D) for (20 marks) 5 Short answer questions (20 marks). These can involve writing code, explaining concepts, or writing equations. The exam could cover any material presented in the lectures or the labs, but the marks will reflect the proportions indicated in these lectures. A sample exam is available
15 Feedback This is the first time Computer Analysis and Visualisation has been taught. It is important that we get feedback on such things as whether you found it useful whether you thought it was fair if there is anything we could have done better Feedback can be given through , SURF surveys, or the SPOT test. Thank you for your patience as the first set of students in this unit. Good luck in the exam.
CITS2401 Computer Analysis & Visualisation
FACULTY OF ENGINEERING, COMPUTING AND MATHEMATICS CITS2401 Computer Analysis & Visualisation SCHOOL OF COMPUTER SCIENCE AND SOFTWARE ENGINEERING Topic 0 Introduction to CITS2401 Notes What is CAV Why study
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