Modules

Core Module Information
Module title: Mathematical Methods II
SCQF level: 08:
SCQF credit value: 20.00
ECTS credit value: 10
Module code: ELE08109
Module leader: Stathis Tingas
School School of Computing, Engineering and the Built Environment
Subject area group: Engineering and Mathematics
Prerequisites

Basic knowledge of differentiation, integration, matrices probabilities etc (to year 1 university level)
Description of module content:

1. Calculus including logarithmic differentiation, partial differentiation and engineering applications
2. Ordinary Differential Equations
3. Laplace Transforms
4. Matrices including eigenvalues, transformations and engineering applications
Learning Outcomes for module:

Upon completion of this module you will be able to
LO1: Obtain first and second order partial derivatives including applications;
LO2: Perform operations on matrices;
LO3: Calculate and apply Laplace Transforms;
LO4: Solve ordinary differential equations.
Full Details of Teaching and Assessment
2022/3, Trimester 1, Blended, Edinburgh Napier University
VIEW FULL DETAILS
Occurrence: 001
Primary mode of delivery: Blended
Location of delivery: MERCHISTON
Partner: Edinburgh Napier University
Member of staff responsible for delivering module: Stathis Tingas
Module Organiser:


Learning, Teaching and Assessment (LTA) Approach:
Learning & Teaching methods including their alignment to LOs
Students will be taught in interactive groups. Graphical calculators and mathematical software will be used to enhance the teaching and learning. Weekly tutorial handouts are an integral part of the module. (All LOs)
Embedding of employability/PDP/Scholarship Skills
The module will be relevant to all engineering programmes. Engineers are required to have a good understanding of mathematics and using it in real engineering examples is a positive motivating factor. During the teaching of this module the students will be exposed to solving engineering problems using mathematics with confidence. This will enhance their employability.

Research / teaching linkages
The emphasis of this module is on the application of mathematical techniques, and in particular calculus, to engineering problems. Proficiency in calculus is an important skill for the modern engineer; the scholarly activity undertaken by the teaching team demonstrates this.
Supporting equality and diversity
All module content will be available on Moodle. The maths clinic MathsPlus is available to all students and gives extra help and support outwith lectures and tutorials.
Internationalisation
Mathematics is the universal language of Science and Engineering. The topics taught are fundamental to all engineering courses and are common across cultures. This includes mathematical concepts, definitions and computational skills.
Formative Assessment:
The University is currently undertaking work to improve the quality of information provided on methods of assessment and feedback. Please refer to the section on Learning and Teaching Approaches above for further information about this module’s learning, teaching and assessment practices, including formative and summative approaches.

Summative Assessment:
1. Calculus test (LO: 1)
2. ODEs (LO: 4)
3. Mathematical Software test (LO: 2,3,4)
4. Final examination on all material (LO: 1,2,3,4)
Student Activity (Notional Equivalent Study Hours (NESH))
Mode of activityLearning & Teaching ActivityNESH (Study Hours)
Face To Face Lecture 36
Face To Face Groupwork (Scheduled) 36
Independent Learning Guided independent study 126
Face To Face Centrally Time Tabled Examination 2
Total Study Hours200
Expected Total Study Hours for Module200


Assessment
Type of Assessment Weighting % LOs covered Week due Length in Hours/Words
Class Test 20 1 4 HOURS= 1, WORDS= 0
Class Test 20 4 8 HOURS= 1, WORDS= 0
Class Test 10 2,3,4 10 HOURS= 1, WORDS= 0
Centrally Time Tabled Examination 50 1,2,3,4 14/15 HOURS= 2, WORDS= 0
Component 1 subtotal: 50
Component 2 subtotal: 50
Module subtotal: 100

Indicative References and Reading List - URL:
ELE08109 / ELE08409 Mathematical Methods II
 

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