CME1026 : Computing and Numerical Methods
- Offered for Year: 2017/18
- Module Leader(s): Dr Milan Mijajlovic
- Owning School: Engineering
- Teaching Location: Newcastle City Campus
|Semester 1 Credit Value:||5|
|Semester 2 Credit Value:||5|
To introduce the use of MATLAB-based computer programming and develop capabilities in problem analysis for computer-based solution.
To introduce the use of Excel for data analysis and presentation of results/information.
To learn the principles associated with some of the common computer-based techniques used to solve chemical and process engineering problems
This module comprises two parts: Numerical Techniques and Programming in MATLAB and is delivered over two semesters.
Semester 1: The first part introduces the theory and principles associated with some of the common computer-based techniques used to solve chemical and process engineering problems.
Semester 2: The second part provides an introductory course in computer programming for the solution of engineering problems. Students will be required to put into practice the theory learnt in Semester 1. MATLAB, a high-level computing language is used extensively. The learning objectives are delivered predominantly through "hands-on" laboratory problem solving sessions.
Outline Of Syllabus
Numerical Techniques (Semester 1): Analytical solutions versus numerical methods; Root finding algorithms, Numerical integration, Numerical solutions of ODEs; Solutions of set of algebraic equations; Least-squares approximation; Use of the SIMULINK to simulate dynamical systems
MATLAB (Semester 2): Introduction to the MATLAB software environment, matrix handling, basic MATLAB commands. MATLAB scripts and functions, flow controls, plotting, program debugging, flowcharts and problem solution strategies.
Excel-based data analysis and charting.
|Guided Independent Study||Assessment preparation and completion||1||12:00||12:00||Exam Revision|
|Guided Independent Study||Assessment preparation and completion||1||2:30||2:30||MATLAB assessment|
|Guided Independent Study||Assessment preparation and completion||1||1:30||1:30||Exam|
|Guided Independent Study||Assessment preparation and completion||1||1:00||1:00||Exam|
|Scheduled Learning And Teaching Activities||Lecture||24||1:00||24:00||N/A|
|Scheduled Learning And Teaching Activities||Practical||10||3:00||30:00||Computing practice|
|Scheduled Learning And Teaching Activities||Practical||12||1:00||12:00||Numerical practice (tutorials)|
|Guided Independent Study||Independent study||1||17:00||17:00||Preparation and review of lecture material|
Teaching Rationale And Relationship
Lectures introduce basic knowledge and techniques. Tutorials reinforce acquired knowledge and practical skills. Assignments develop software skills and ability to use knowledge in problem solving tasks. Practical classes support the learning introduced in lectures through hands on experience with software. The students gain practical experience of applying the concepts introduced throughout the course to a number of problems varying in terms of complexity.
The format of resits will be determined by the Board of Examiners
|Written Examination||90||1||A||50||Closed Book exam.|
|Written Examination||60||2||A||30||Open Book Exam|
|Computer assessment||2||M||20||Matlab assignment|
Assessment Rationale And Relationship
Computer-based programming skills are best assessed by demonstration of the capability, and the lab-based assignment serves to assess the level of achievement of the learning outcomes. The assignment is completed with the use of MATLAB and Excel to demonstrate that appropriate levels of skills in the use of these applications have been gained. The examinations enable the assessment of whether the students have understood the methodologies and whether they are sufficiently conversant with the application of the techniques to real world scenarios.