Current Academic Year 2024 - 2025
All Module information is indicative, and this portal is an interim interface pending the full upgrade of Coursebuilder and subsequent integration to the new DCU Student Information System (DCU Key).
As such, this is a point in time view of data which will be refreshed periodically. Some fields/data may not yet be available pending the completion of the full Coursebuilder upgrade and integration project. We will post status updates as they become available. Thank you for your patience and understanding.
Date posted: September 2024
| Module Title |
Computational Skills for Bioprocess Engineering |
| Module Code |
BE215 (ITS) / CSC1001 (Banner) |
|
Faculty |
Science & Health |
School |
Biotechnology |
| Module Co-ordinator | Damien King | | | Module Teachers | Brian Freeland, David Collins, Denise Harold, Paul Cahill, Yandi Lan | |
|
NFQ level |
8 |
Credit Rating |
5 |
|
Pre-requisite |
Not Available |
|
Co-requisite |
Not Available |
| Compatibles |
Not Available |
| Incompatibles |
Not Available |
|
Coursework Only
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Description
This module provides students with an introduction to the simulation of batch bioprocesses using Berkeley Madonna.
|
Learning Outcomes
1. Formulate mass balances for batch bioprocessing systems
2. Implement numerical methods for the solution of ordinary differential equations
3. Write Berkeley Madonna Code for simulating batch systems
4. Conduct numerical experiments with Berkeley Madonna
5. Fit a model to experimental data using Berkeley Madonna
6. Extract simulation data from Berkeley Madonna and import it into Word and Excel
|
| Workload |
Full-time hours per semester |
| Type |
Hours |
Description |
| Independent Study | 65 | Work on Project | | Independent Study | 20 | Self assessment questions | | Workshop | 8 | Tutorials | | Workshop | 12 | Supervised work on project | | Online activity | 20 | Study of online materials | | Total Workload: 125 |
All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml
|
Indicative Content and Learning Activities
Berkeley Madonna Software and User Guide |
| Assessment Breakdown | | Continuous Assessment | 100% | Examination Weight | 0% |
| Course Work Breakdown |
| Type | Description | % of total | Assessment Date |
|---|
| Assignment | Implement Euler method in Excel | 5% | n/a | | Assignment | Write Berkeley Madonna code for a batch reactor | 5% | n/a | | Assignment | Simulate an enzyme catalysed reaction in a batch system | 10% | n/a | | Assignment | Fitting a model of cell growth in a batch reactor to experimental data | 10% | n/a | | Assignment | Simulate a fed bacth bioreactor | 20% | n/a | | Assignment | Compete simulation project | 50% | n/a |
| Reassessment Requirement Type |
Resit arrangements are explained by the following categories:
Resit category 1: A resit is available for both* components of the module.
Resit category 2: No resit is available for a 100% continuous assessment module.
Resit category 3: No resit is available for the continuous assessment component where there is a continuous assessment and examination element. |
| * ‘Both’ is used in the context of the module having a Continuous Assessment/Examination split; where the module is 100% continuous assessment, there will also be a resit of the assessment |
| This module is category 1 |
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Indicative Reading List
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Other Resources
None |
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