| Module Title |
Bioprocess Research & Design |
| Module Code |
BTE1002 |
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Faculty |
Biotechnology |
School |
Science & Health |
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NFQ level |
8 |
Credit Rating |
5 |
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Description
In this module the student will undertake an in-depth investigation into oxygen transfer in a bioreactor. Each student will be supplied with a detailed dataset on dissolved oxygen data, as well as cell counts, for a bench scale culture of the yeast Kluyveromyces. The challenge will be to quantify oxygen uptake rates and mass transfer rates while relating these phenomena to cell counts. Students will be expected to be able to draw on what they have learned in BE215 and apply it to the current challenge. On completion of the data analysis the student will write a coherent report detailing their overall approach and in a logical sequence.
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Learning Outcomes
1. The students will undertake group based projects based on industry relevant problem statements to analyse and assess the credibility of ideas, arguments and information.
2. The students will be given mathematical models and experimental data from bioprocess engineering workflows to examine and analyse in order to ask appropriate questions in relation to the topic of interest.
3. The students will undertake group based projects based on industry relevant problem statements to gather relevant information relating to their assigned topic.
4. Mathematical models to describe and experimental data generated from bioprocess engineering laboratory experiments will be provided to the students and utilising skills developed in these modules they will develop the ability to draw informed and logical conclusions from the information provided to them.
5. Mathematical models to describe and experimental data generated from bioprocess engineering laboratory experiments will be provided to the students and their project and lab reports will enable them to present ideas, arguments and information in a clear, coherent and concise manner using figures and text.
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| Workload | Full time hours per semester | | Type | Hours | Description |
|---|
| Online activity | 4 | Week 1 Introduction to module and study of background materials. | | Online activity | 4 | Weeks 2 and 3. Preliminary analysis of experimental data and production of graphs for first assignment. | | Online activity | 4 | Weeks 4 and 5: completion of analysis on the relation between cell counts and oxygen uptake rate. | | Online activity | 4 | Weeks 6 and 7 Write Berkeley Madonna code to model complete oxygen transfer process | | Online activity | 4 | Weeks 8 and 9; Fit Berkeley Madonna code to the experimental data and tabulate OUR and kla data | | Online activity | 8 | Weeks 10 and 11. Produce written report. | | Online activity | 97 | independent leanring and study |
| Total Workload: 125 |
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| Section Breakdown | | CRN | 20088 | Part of Term | Semester 2 | | Coursework | 0% | Examination Weight | 0% | | Grade Scale | 40PASS | Pass Both Elements | Y | | Resit Category | RC1 | Best Mark | N | | Module Co-ordinator | Damien King | Module Teacher | Brian Freeland, David Collins, Denise Harold, Paul Cahill, Yandi Lan |
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| Assessment Breakdown |
| Type | Description | % of total | Assessment Date |
|---|
| Assignment | Produce high quality graphs of experimental data (week 2) | 10% | n/a | | Assignment | Submit an analysis of oxygen uptake rates based on the dissolved oxygen data (week 3) | 20% | n/a | | Assignment | Submit an analysis of the relation between oxygen uptake rates and cell counts and represent that relationship graphically (Week 5) | 10% | n/a | | Assignment | Write Berkeley Madonna code to simulate the oxygen uptake/transfer experiment, incorporating an IF statement where appropriate (week 7) | 15% | n/a | | Assignment | Fit the Berkeley Madonna code to the experimental data and work out the oxygen uptake rate and the kLa for each run. Tabulate the results. (week 9) | 15% | n/a | | Assignment | Produce a written report containing an Abstract, an introduction, illustrative raw data and key results presented in a logical sequence. (week 11) | 30% | n/a |
| Reassessment Requirement Type |
Resit arrangements are explained by the following categories;
RC1: A resit is available for both* components of the module.
RC2: No resit is available for a 100% coursework module.
RC3: No resit is available for the coursework component where there is a coursework and summative examination element.
* ‘Both’ is used in the context of the module having a coursework/summative examination split; where the module is 100% coursework, there will also be a resit of the assessment
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Pre-requisite |
None
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Co-requisite |
None |
| Compatibles |
None |
| Incompatibles |
None |
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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
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Indicative Content and Learning Activities
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Indicative Reading List
Books:
None
Articles:
None |
Other Resources
None |
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