MATH10240
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Academic Year 2025/2026
Mathematics for Agriculture II (MATH10240)
Subject: : Mathematics
College: : Science
School: : Mathematics & Statistics
Level: : 1 (Introductory)
Credits: : 5
Module Coordinator: : Dr Neil Dobbs
Trimester: : Spring
Mode of Delivery: : On Campus
Internship Module: : No
How will I be graded? : Letter grades
Curricular information is subject to change.
MATH10240 is a follow-on module to MATH10230. Students gain a deeper insight into the topics previously introduced and will see new areas of mathematics that will prove useful in solving problems in their chosen field of study. Topics covered include (1) Linear Algebra - matrices, sums, products and inverses, and systems of linear equations by Gaussian elimination. (2) Calculus - trigonometric functions and their derivatives, derivatives of products, quotients and compositions of functions (the product, quotient and chain rules), rational functions and their graphs, singularities and asymptotes, and integration of trigonometric functions and simple rational functions. (3) Probability - sample spaces, outcomes and events, binomial coefficients and applications to computing probabilities, random variables and expectation. (4) Markov processes - stochastic matrices, Markov chains, fixed matrices and long-term behaviour. Examples and applications of these topics will be presented throughout the module.
About this Module
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What will I learn?
Learning Outcomes:
On successful completion of this module, the student is expected to (1) demonstrate an understanding of the theoretical aspects of the topics covered in this module, and (2) be able to carry out any computations involving the objects described in this module (including, but not limited to, finding the inverse of a matrix, finding the derivative of a trigonometric or rational function, calculating the expectation of a random variable or determining the long-term behaviour of a Markov chain).
How will I learn?
Student Effort Hours:
| Student Effort Type | Hours |
|---|---|
| Lectures | 30 |
| Practical | 5 |
| Specified Learning Activities | 25 |
| Autonomous Student Learning | 40 |
| --- | --- |
| Total | 100 |
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Approaches to Teaching and Learning:
Lectures, tutorials, enquiry and problem-based learning.
Am I eligible to take this module?
Requirements, Exclusions and Recommendations
Not applicable to this module.
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Module Requisites and Incompatibles
Co-requisite:\ MATH10230 - Mathematics for Agriculture I \ \ Incompatibles:\ MATH10030 - Maths for Business, MATH10250 - Intro Calculus for Engineers , MATH10270 - Linear Algebra in the Math Sci, MATH10280 - Linear Algebra in the Phys.Sci, MATH10290 - Linear Algebra for Science, MATH10300 - Calculus in the Math. Sciences, MATH10310 - Calculus for Science, MATH10350 - Calculus (MPS), MATH20130 - Fund. Actuarial Mathematics I\ \ \ \
How will I be assessed?
Assessment Strategy
| Description | Timing | Component Scale | Must Pass Component | % of Final Grade | In Module Component Repeat Offered |
|---|---|---|---|---|---|
| Exam (In-person): End of year exam | End of trimester Duration: 2 hr(s) | Standard conversion grade scale 40% | No | 60 | No |
| Quizzes/Short Exercises: Webwork (online) exercises | Week 4, Week 5, Week 6, Week 7, Week 8, Week 9, Week 10 | Standard conversion grade scale 40% | No | 10 | No |
| Quizzes/Short Exercises: Mid-term test. | Week 8 | Standard conversion grade scale 40% | No | 30 | No |
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Carry forward of passed components
No
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What happens if I fail?
| Resit In | Terminal Exam |
|---|---|
| Autumn | Yes - 2 Hour |
Please see Student Jargon Buster for more information about remediation types and timing. \
Assessment feedback
Feedback Strategy/Strategies
• Group/class feedback, post-assessment\
How will my Feedback be Delivered?
Not yet recorded.
Associated Staff
| Name | Role |
|---|---|
| Dr Cornelia Roessing | Lecturer / Co-Lecturer |
| Boris Morin | Tutor |
| Haneen Muhammad | Tutor |
| Zhe Yu | Tutor |
When is this module offered?
Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
| Spring | Lecture | Offering 1 | Week(s) - 20, 23, 24, 25, 26, 29, 30, 32, 33 | Fri 10:00 - 10:50 |
| Spring | Lecture | Offering 1 | Week(s) - 21, 22, 31 | Fri 10:00 - 10:50 |
| Spring | Lecture | Offering 1 | Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 | Mon 09:00 - 09:50 |
| Spring | Lecture | Offering 1 | Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 | Wed 09:00 - 09:50 |
| Spring | Tutorial | Offering 1 | Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 | Thurs 16:00 - 16:50 |
| Spring | Tutorial | Offering 2 | Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 | Fri 11:00 - 11:50 |