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Module

CME1026 : Computing and Numerical Methods

  • Offered for Year: 2022/23
  • 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 (Present in person)
Guided Independent StudyAssessment preparation and completion110:0010:00Semester 1 Examination
Scheduled Learning And Teaching ActivitiesLecture101:0010:00Semester 2 lectures
Guided Independent StudyAssessment preparation and completion110:0010:00Semester 2 Completion of the MATLAB & Simulink Assignment
Structured Guided LearningAcademic skills activities73:0021:00Semester 1 (asynchronous) Watch video example calculations. Completion of tutorial sheets.
Scheduled Learning And Teaching ActivitiesWorkshops71:007:00Semester 1 (Pip) Tutorial sessions to help with student problems from the tutorial sheets
Scheduled Learning And Teaching ActivitiesWorkshops83:0024:00Semester 2 Computing Labs (50% of Cohort per session)
Scheduled Learning And Teaching ActivitiesWorkshops12:002:00Semester 1 (Pip) Simulink Workshop (50% of Cohort per session)
Guided Independent StudyIndependent study16:006:00General 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:

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
Lectures present in person (PiP)

Workshop / Tutorial sessions
Tutorial Sessions to be PiP (whole cohort)
Simulink Workshop to be PiP (50% of Cohort)

Semester 2
Lecture Sessions

Lectures present in person (PiP)

Workshop / Tutorial sessions

Assessment Methods

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

Exams
Description Length Semester When Set Percentage Comment
Written Examination901A50Closed Book Exam
Other Assessment
Description Semester When Set Percentage Comment
Computer assessment2M50Solving Euler’s method problems by hand and validating the results using software (both Simulink and MATLAB).
Assessment Rationale And Relationship

Examination will test the learning outcomes around problem solving of Chemical Engineering type problems

Reading Lists

Timetable