Module Catalogue 2024/25

ENG1001 : Engineering Mathematics I

ENG1001 : Engineering Mathematics I

  • Offered for Year: 2024/25
  • Module Leader(s): Dr Magda Carr
  • Lecturer: Dr John Appleby, Dr David Swailes
  • Owning School: Mathematics, Statistics and Physics
  • Teaching Location: Newcastle City Campus
Semesters

Your programme is made up of credits, the total differs on programme to programme.

Semester 1 Credit Value: 10
Semester 2 Credit Value: 10
ECTS Credits: 10.0
European Credit Transfer System
Pre-requisite

Modules you must have done previously to study this module

Pre Requisite Comment

English Language to IELTS 6.0 or Pearsons 54 or equivalent. Satisfy admissions or progression requirement for entry to Stage 1 of an engineering degree programme at Level 3, including A-Level Mathematics or equivalent and normally an A-Level in science or equivalent.

Co-Requisite

Modules you need to take at the same time

Co Requisite Comment

Stage 1 of an engineering degree (for knowledge of relevant applications).

Aims

To provide the Stage 1 mathematical knowledge and skills base for the various undergraduate engineering programmes in the faculty. This module begins with a review of methods of calculus including illustrations of such methods in engineering. These ideas are developed to enable a large range of engineering systems to be modelled using differential equations and linear algebra.

Outline Of Syllabus

Functions, differentiation and integration. Exponential, logarithmic and hyperbolic functions. Complex numbers, Cartesian and polar forms. Trigonometric functions and inverse functions. Partial differentiation. Techniques of integration and numerical integration. Applications. Basic types of first and second order ordinary differential equations. Analytical methods of solution. Linked systems. Matrix and vector algebra. Solution methods for systems of linear equations. Eigenvalue problems. Introduction to Fourier Series in real and complex form.

Learning Outcomes

Intended Knowledge Outcomes

Upon successful completion of this module, students should have gained knowledge and understanding of:

Mathematical principles necessary to underpin their education and to enable them to apply
mathematical methods, tools and notations proficiently in the analysis and solution of engineering
problems (M1, M2, M3):

- Basic differential and integral calculus.
- Differential equations.
- Matrices and vectors relevant to appropriate engineering contexts.
- Fourier Series.

Intended Skill Outcomes

Upon successful completion of this module, students will be able to:

Apply a range of standard mathematical techniques to formulate and analyse simple mathematical techniques to formulate and analyse simple mathematical models of engineering systems".

For the student to achieve a sound competence in the application of:
- Basic differential and integral calculus.
- Differential equations.
- Matrices and vectors relevant to appropriate engineering contexts.
- Fourier Series.

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Scheduled Learning And Teaching ActivitiesLecture401:0040:00Lectures (in person)
Guided Independent StudyAssessment preparation and completion201:0020:00Testing – formative CBA and some written
Structured Guided LearningAcademic skills activities801:0080:00Private study – exercises (some formative CBA) -Practice and self- testing
Scheduled Learning And Teaching ActivitiesSmall group teaching201:0020:00Q&A Tutorials (in person and/or live on-line)
Guided Independent StudyIndependent study120:0020:00All new Stage 0 & 1 in Engineering – preparation before starting
Guided Independent StudyIndependent study201:0020:00Private study – use of notes and videos in understanding ‘lectures’
Total200:00
Teaching Rationale And Relationship

Pre-sessional preparatory material will be made available to all new Stage 1 and Stage 0 students, consisting of videos, PDF resources, links, and on-line computer-based testing, encouraging students to revise material not studied for several months and to identify and address gaps or lack of fluency. Lectures will be in person. Tutorials will be in person and/or live online and used to address student queries, offering help and guidance on exercise questions and any queries from lectures. Computer-based exercises and tests will help students to check and improve their skills. Bookable ‘office hour’ personal tutorials will support students on demand. Exercise sheets are for practice of methods and reinforcement of understanding and applications.

Reading Lists

Assessment Methods

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

Exams
Description Length Semester When Set Percentage Comment
Written Examination601A20Written examination on Sem 1 work
Written Examination1202A50Written examination on full syllabus.
Exam Pairings
Module Code Module Title Semester Comment
Engineering Mathematics for International Year One Engineering1N/A
Other Assessment
Description Semester When Set Percentage Comment
Computer assessment1M5Routine test to ensure regular work
Computer assessment1M5Routine test to ensure regular work
Written exercise1M5Routine class test to ensure regular work
Written exercise2M5Routine class test to ensure regular work
Computer assessment2M5Routine test to ensure regular work
Computer assessment2M5Routine test to ensure regular work
Formative Assessments

Formative Assessment is an assessment which develops your skills in being assessed, allows for you to receive feedback, and prepares you for being assessed. However, it does not count to your final mark.

Description Semester When Set Comment
Computer assessment1MRegular in course CBAs
Assessment Rationale And Relationship

To encourage regular study and reflection in this hierarchical subject (with competing pressures of Engineering coursework), frequent computer-based (CBA) tests will be set on questions already practiced, with multiple attempts, to achieve mastery of methods and skills.

Written exercises and examinations will test mathematical writing skills, presentation, and methodology.

Timetable

Past Exam Papers

General Notes

N/A

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Disclaimer

The information contained within the Module Catalogue relates to the 2024 academic year.

In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described.

Modules may be amended on an annual basis to take account of changing staff expertise, developments in the discipline, the requirements of external bodies and partners, and student feedback. Module information for the 2025/26 entry will be published here in early-April 2025. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.