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Module

CME1026 : Computing and Numerical Methods

  • Offered for Year: 2021/22
  • Module Leader(s): Dr Chris O'Malley
  • Owning School: Engineering
  • Teaching Location: Newcastle City Campus
Semesters
Semester 1 Credit Value: 5
Semester 2 Credit Value: 5
ECTS Credits: 5.0

Aims

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 Methods 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 numerically 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 Methods (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 solve these types of problems

Computing (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.

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Scheduled Learning And Teaching ActivitiesLecture101:0010:00Semester 1
Guided Independent StudyAssessment preparation and completion15:005:00Semester 1 Time limited (1hr) summative CANVAS test with preparation time (1.5hr)
Scheduled Learning And Teaching ActivitiesLecture101:0010:00Semester 2 lectures
Guided Independent StudyAssessment preparation and completion19:009:00Semester 2 Completion of the MATLAB & Simulink Assignment
Structured Guided LearningAcademic skills activities74:0028:00Semester 1 Watch asynchronous example calculations. Completion of tutorial sheets of 7 problems.
Scheduled Learning And Teaching ActivitiesWorkshops71:007:00Semester 1 Tutorial sessions to help with student problem from the tutorial sheets
Scheduled Learning And Teaching ActivitiesWorkshops73:0021:00Semester 2 Computing Labs
Guided Independent StudyIndependent study101:0010:00General reading around MATLAB functions and associated material
Total100:00
Teaching Rationale And Relationship

Rationale of Teaching Methods and Relationship to Learning Outcomes

Lectures and lecture materials introduce basic knowledge and techniques. Tutorial work sheets reinforce acquired knowledge and sharpen problem solving 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.

Scenario Planning should lockdowns or restrictions be imposed:

Semester 1

Lecture Sessions

Plan A lectures present in person (PiP)

Plan B Asynchronous delivery of lecture content and 3 Synchronous Online (SO) to support

Workshop / Tutorial sessions

Plan A sessions to be PiP (whole cohort)

Plan B support to be provided through discussion boards and SO zoom tutorial sessions

Semester 2

Lecture Sessions

Plan A lectures present in person (PiP)

Plan B Asynchronous delivery of lecture content and 3 Synchronous Online (SO) to support

Workshop / Tutorial sessions

Plan A Computing cluster sessions PiP (Monday & Fridays 50% of the cohort per session); completion of worksheets

Plan B SO sessions to support self study completion of worksheets

Assessment Methods

The format of resits will be determined by the Board of Examiners

Other Assessment
Description Semester When Set Percentage Comment
Computer assessment1M20Canvas Test - x 4 Root finding techniques
Computer assessment1M20Canvas Test - x2 approaches to solving sets of equations
Computer assessment2M60Solving Euler’s method problems by hand and validating the results using software (both Simulink and MATLAB).
Assessment Rationale And Relationship

Semester 1
2 x 1hr limited summative Canvas quizzes focussed on 2 topics:
Test 1 - approximately week 3/4 of semester
Test 2 - approximately week 6/7 of semester
Semester 2
Assignment enables testing of simulation, programming and flow chart capabilities and will assess learning outcomes on solving ODEs and operating software.
Assignment release approximately week 4/5 of semester

Reading Lists

Timetable