MATHEMATICS A - 2027/8

Module code: ENG0011

Module Overview

This mathematics module is designed to reinforce and broaden basic A-Level mathematics material, develop problem solving skills and prepare students for the more advanced mathematical concepts and problem-solving scenarios in the semester 2 modules.The priority is to develop the students’ ability to solve real- world problems in a confident manner.  The concepts delivered on this module reflect the skills and knowledge required to understand the physical around us. This is vital as mathematics plays a critical role in the students’ future employability and achievement on their respective undergraduate choices.


Module provider

School of Engineering

Module Leader

MC GUIRE Stephen (Sch of Eng)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 3

Module cap (Maximum number of students): N/A

Overall student workload

Independent Learning Hours: 40

Lecture Hours: 22

Tutorial Hours: 22

Guided Learning: 44

Captured Content: 22

Module Availability

Semester 1

Prerequisites / Co-requisites

None

Module content

Arithmetic, algebra, simple equations, polynomial equations, matrices, vectors, trigonometry, functions, and complex numbers.

Assessment pattern

Assessment type Unit of assessment Weighting
School-timetabled exam/test In-Situ Mid-Semester Test (30 Minutes) 20
Examination Invigilated paper based examination (2 Hours) 80

Alternative Assessment

N/A

Assessment Strategy

This assessment strategy is designed to allow students to demonstrate their knowledge of taught material and to showcase their skills in solving a variety of problems across different contexts using appropriately selected techniques.
 

Summative Assessment 

The summative assessment for this module is strictly AI-resilient and consists of two components:

  • Mid-Semester Test: An in-person, 30-minute test worth 20% of the final grade. This test aims to assess recently acquired foundational knowledge.
  • End-of-Module Exam: A 2-hour, in-person written exam held during the formal exam week, worth 80% of the final grade. This exam features more in-depth problems aimed at testing the broad application of the concepts taught.
     

Formative Assessment

  • Diagnostic Test: An online diagnostic test is administered to students during Welcome Week. This helps identify baseline knowledge and areas of weakness, guiding instructors on where to place emphasis for in-depth delivery.
  • Lecture & Tutorial Integration: Lectures and tutorials will provide the student with key opportunities to ask questions, review their knowledge of taught content, and deepen their understanding through a range of practice questions and opportunities for discussions with staff and other students.


Feedback

  • Mid-Semester Test: Students will receive written feedback on their tests, accompanied by oral discussions held during tutorials.
  • Self-Directed & Peer Feedback: Detailed model solutions are provided for the vast majority of lecture materials and practice questions. Students are expected to use these to self-assess their work and identify areas for development. Students are highly encouraged to bring their self-marked work to tutorials for further discussion with staff and peers.

Module aims

  • This module aims to review and consolidate students' knowledge of basic A-level mathematical concepts, emphasising the development of lower level thinking skills which can be applied in a variety of problem solving contexts.
  • Review and consolidate students¿ knowledge of basic A Level mathematical concepts.
  • Emphasise the development of lower-level thinking skills which can be applied in a variety of problem-solving activities.
  • Formulate problems in precise terms, identifying the issues forming complex reasoning.
  • Use mathematics to describe the physical world.
  • Build up the confidence to tackle any problem, looking at it from different points of view
  • Encourage students to communicate mathematically and to share their understanding of the complex situations and problems they are faced with.
  • Encourage students to work independently on building up of their own mathematical knowledge and understanding, focusing on becoming successful on their undergrad course and later becoming better engineers.

Learning outcomes

Attributes Developed
001 Solve different types of equations in various contexts KCPT
002 Construct and manipulate a variety of Mathematical expressions KCPT
003 Recognise when to apply an appropriate rule or method KCPT
004 Apply a problem solving strategy, making use of simple Mathematical concepts KCPT
005 Solve problems using known procedures in different contexts KCPT

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

Methods of Teaching / Learning

The strategy is designed to:



Familiarise students with mathematical concepts and techniques supported by extensive use of examples and applications; students are engaged in the solution of problems and application of techniques in tutorials/problems classes.



The learning and teaching methods include:



Lectures to revise prior learning and bring students from varying backgrounds to a common level of knowledge, and to introduce new concepts and techniques and provide illustrative examples and applications.



Guided self-study to cover certain topics, to develop students’ independent learning skills



Problem sheets containing questions for technique selection and skills development.



Tutorials/problems classes for the development of skills in selecting and applying appropriate techniques, using problems sheets; assistance is given both at individual level, and for the group on common areas of difficulty.

Independent learning,



Captured content - Panopto is available for missed lectures or consolidation of concepts taught.



Students are encouraged to ask and answer questions at the lectures. Their previous knowledge is challenged in lectures and more so in tutorials



Tutorials are used to consolidate the concepts taught



Topics delivered in this module are developed further in other modules i.e. computing laboratory sessions



The lectures and tutorials enhance and develop student skills to a greater depth.



The ENG0011 module is the real foundation and bridging step between the students’ current knowledge and skills to a fully integrated understanding of the mathematics content in year 1.



Support is given on a one-to-one basis for students who have not studied mathematics for several years or they have missed sessions through genuine illness.



Online books for suggested reading are available.



Students are encouraged to develop critical thinking skills in order to acquire the ability to analyse facts objectively leading to an informed judgement.

 


Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.

Reading list

https://readinglists.surrey.ac.uk
Upon accessing the reading list, please search for the module using the module code: ENG0011

Other information

Other Information:

Foundation Year programmes are committed to developing students with strengths in Employability, Digital Capabilities, Global and Cultural Capabilities, Sustainability, Resourcefulness and Resilience. This module is designed to develop knowledge and skills in the following:

Employability – Students undertake focused learning relating to the real-world, enabling them to develop the analytical skills and competencies relevant to their chosen study and subsequent career pathway.

The skills students acquire in the development of their mathematical knowledge are vital to their future job roles. They will use their critical thinking skills and analytical ability to solve problems encountered in a systematic and logical way. With the understanding of their mathematics, they will be able to design and optimise complex systems. They will be designing structures, optimising processes, predicting outcomes, and making informed decisions.

 

Digital Capability - Students digital capability is promoted through the use of SurreyLearn for the independent study modules, online assessments, use of graphing packages, use of research platforms etc

There are so many resources available to students digitally. The graphing packages give real meaning to functions and their behaviour.  Panopto is an excellent resource for consolidation of the concepts and learning objectives taught.  The calculator is such a useful piece of equipment as it can be so easily set up to find roots using iterative methods to the greatest degree of accuracy. Students use spreadsheets.  The use of the tablets they write on helps with orderly storage and retrieval of solutions when revising. All the module content is on SurreyLearn with so much information about the course content, learning objectives, assessment dates, tutorial sheets and solutions. The formula booklet used in the face-to-face exam is available online as well.

 

Resourcefulness and resilience: The module is designed in such a way as to encourage and support the progressive development of independent thinking and resourcefulness through scaffolded activities and assessments. The online short test has been designed to foster active participation and reflective engagement. Assessment is balanced and varied with online tests, paper based final exam and formative bi-weekly exam questions taken in tutorials. In the assessments and tutorial worksheets, students are exposed to challenging authentic scenarios which invariably lead to setbacks and frustration. They are encouraged to reflect and fault find and to question their strategy if the outcome of a problem-solving process is not as expected. Students learn how to seek verification of their output through independent research or peer collaboration and how to respond constructively to formal and informal feedback. 

Programmes this module appears in

Programme Semester Classification Qualifying conditions
Mechanical Engineering with Foundation Year BEng (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Biomedical Engineering with Foundation Year BEng (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Astronautics and Space Engineering with Foundation Year BEng (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Aerospace Engineering with Foundation Year BEng (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Chemical Engineering with Foundation Year BEng (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Electronic Engineering with Foundation Year BEng (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Electrical and Electronic Engineering with Foundation Year BEng (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Electronic Engineering with Computer Systems With Foundation Year BEng (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Electronic Engineering with Artificial Intelligence with Foundation Year BEng (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Computer and Internet Engineering with Foundation Year BEng (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Physics with Nuclear Astrophysics with Foundation Year BSc (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Physics with Foundation Year BSc (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Physics with Astronomy with Foundation Year BSc (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Physics with Quantum Computing with Foundation Year BSc (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Civil Engineering with Foundation Year BEng (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Computer Science with Foundation Year BSc (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Mathematics and Physics with Foundation Year BSc (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Chemical and Petroleum Engineering with Foundation Year BEng (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Mathematics with Data Science with Foundation Year BSc (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Mathematics with Foundation Year BSc (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module
Financial Mathematics with Foundation Year BSc (Hons) 1 Compulsory A weighted aggregate mark of 50% is required to pass the module

Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2027/8 academic year.