# BSEN30530

**Source**: https://hub.ucd.ie/usis/!W_HU_MENU.P_PUBLISH?p_tag=MODULE&MODULE=BSEN30530&TERMCODE=202500&ACYR=2026
**Parent**: https://hub.ucd.ie/usis/!W_HU_MENU.P_PUBLISH?p_tag=COURSE&MAJR=ETS2&AUDIENCE=

Academic Year 2025/2026

Print

#### Numerical Methods for Agricult (BSEN30530)

Subject:
:   Biosystems Engineering

College:
:   Engineering & Architecture

School:
:   Biosystems & Food Engineering

Level:
:   3 (Degree)

Credits:
:   5

Module Coordinator:
:   Dr Dimitrios Argyropoulos

Trimester:
:   Spring

Mode of Delivery:
:   On Campus

Internship Module:
:   No

How will I be graded?
:   Letter grades

Curricular information is subject to change.

To solve many agricultural technical problems they need to be modelled mathematically. These mathematical models can then be solved sometimes analytically but more often numerical solutions are required. In this module students will learn how to apply numerical methods to solving a range of such problems. \
Equation roots: bisection, Newton-Raphson. Simultaneous equations: Gaussian elimination, LU decomposition, Gauss-Seidel. Numerical differentiation and Integration: Simpson’s rule. Differential equations: Euler, central difference, Runge-Kutta, finite differences, stability.\
Simulation techniques will also be introduced.

## About this Module

Open All 
 Close All

### What will I learn?

###### Learning Outcomes:

On completion of this module students should have acquired:\
• knowledge and understanding of a range of numerical techniques;\
• knowledge and understanding of the defects of numerical techniques especially stability and accuracy issues;\
• skills and competency in numerically solving a range of problems;\
• some insights into simulation techniques.\

### How will I learn?

###### Student Effort Hours:

| Student Effort Type | Hours |
| --- | --- |
| Specified Learning Activities | 48 |
| Autonomous Student Learning | 42 |
| Lectures | 21 |
| Practical | 14 |
|  |  |
| --- | --- |
| Total | 125 |

\

###### Approaches to Teaching and Learning:

To get the maximum out of this module a student should attend all lectures and take appropriate notes. \
\
Students are expected to do the assignments, which are assessed.

### Am I eligible to take this module?

###### Requirements, Exclusions and Recommendations

**Learning Recommendations:**\

MATH10230 and MATH10240 or equivalent. Also, knowledge of a programming language such as Pyton or Mathlab is necessary.

\

###### Module Requisites and Incompatibles

**Incompatibles:**\
EEEN30150 - *Modelling and Simulation*\
\
\
 \

### 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 7-week trimester examination in March break | Week 7 | Graded | No | 70 | No |
| Practical Skills Assessment: A number of practical assignments are carried out throughout the trimester. | Week 2, Week 4, Week 6 | Graded | No | 30 | Yes |

\

###### Carry forward of passed components

Yes

\

### What happens if I fail?

| Resit In | Terminal Exam |
| --- | --- |
| Autumn | Yes - 2 Hour |

*Please see [Student Jargon Buster](https://www.ucd.ie/students/services/ucdstudentjargonbuster/) for more information about remediation types and timing.* \

### Assessment feedback

###### Feedback Strategy/Strategies

• Feedback individually to students, post-assessment\

###### How will my Feedback be Delivered?

Not yet recorded.

### Associated Staff

| Name | Role |
| --- | --- |
| Dr Dimitrios Argyropoulos | Lecturer / Co-Lecturer |
| Dr Ana Herrero Langreo | Lecturer / Co-Lecturer |
| Joseph Niwagaba | Lecturer / Co-Lecturer |

### 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 | External & School Exams | Offering 1 | Week(s) - 27 | Fri 11:00 - 14:50 |
| Spring | Lecture | Offering 1 | Week(s) - 20, 21, 23, 24, 25, 26 | Mon 15:00 - 16:50 |
| Spring | Lecture | Offering 1 | Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 | Wed 15:00 - 17:50 |

[Print this page](# "Print this page")