NUTR06029 2024 Essential Skills for Nutrition Science
Full Title
Essential Skills for Nutrition Science
Transcript Title
Essential Skills for Nutrition
Code
NUTR06029
Attendance
N/A %
Subject Area
NUTR - Nutrition
Department
HEAL - Health & Nutritional Sciences
Level
06 - Level 6
Credit
10 - 10 Credits
Duration
Semester
Fee
€
Start Term
2024 - Full Academic Year 2024-25
End Term
9999 - The End of Time
Author(s)
Thomas Smyth, Martin ONeill
Programme Membership
SG_SHUMA_H08 202400 Bachelor of Science (Honours) in Human Nutrition
SG_SHUMA_B07 202400 Bachelor of Science in Human Nutrition
Description
The aim of this module is to provide the student with essential skills that will underpin core areas of nutrition.
Learning Outcomes
On completion of this module the learner will/should be able to;
1.
To become competent in the various forms of scientific communication
2.
To become familiar with mathematic applications in relation to nutritional biochemistry, food science and food analysis along with associated software for nutrition
3.
To become familiar with the sourcing and interpreting of evidence-based information
4.
Describe and numerically summarise quantitative data using appropriate descriptive statistics
5.
Develop understanding of data analysis applications in relation to nutritional biochemistry, food science and food analysis
Teaching and Learning Strategies
Teaching and learning of the syllabus for this module will be carried out through a combination of lectures, computer based analysis software, workshops and student presentations.
Module Assessment Strategies
This module will be assessed by continuous assessment (100%)
Repeat Assessments
Students will be required to repeat either the assignments or the presentations elements of the module.
Indicative Syllabus
- Mathematical applications in food and nutrition.
- Scientific report writing.
- Scientific communication.
- How the hierarchy of evidence and study design contributes to different levels of evidence in nutrition research.
- Interpreting figures and tables presented in scientific articles in nutrition.
- Learning how to read and interpret scientific articles.
- Referencing correctly from a variety of sources.
- Gain familiarity with referencing software (Endnote).
- Introduction to basis statistics to facilitate better understanding of use and interpretation.
- Graphical representation of data including frequency tables and charts, measures of central tendency, position and dispersion.
- Introduce data analysis and data mining techniques.
Coursework & Assessment Breakdown
Coursework & Continuous Assessment
100 %
Coursework Assessment
| Title | Type | Form | Percent | Week | Learning Outcomes Assessed | |
|---|---|---|---|---|---|---|
| 1 | Nutrition calculations | Coursework Assessment | Assignment | 30 % | Any | 2 |
| 2 | Scientific writing | Coursework Assessment | Assignment | 20 % | Any | 1,3 |
| 3 | Presentation | Coursework Assessment | Oral Exam/Presentation | 20 % | Any | 1,3,4 |
| 4 | Data analysis | Project | Open Book Exam | 30 % | Any | 1,2,3,4,5 |
Full Time Mode Workload
| Type | Location | Description | Hours | Frequency | Avg Workload |
|---|---|---|---|---|---|
| Problem Based Learning | Problem Based Learning Room | Practical Skills | 2 | Weekly | 2.00 |
| Independent Learning | Offsite Facility | Self-directed | 5 | Weekly | 5.00 |
| Lecture | Lecture Theatre | Lecture | 1 | Weekly | 1.00 |
Total Full Time Average Weekly Learner Contact Time 1.00 Hours
Module Resources
Non ISBN Literary Resources
N/A
Journal Resources
N/A
URL Resources
N/A
Other Resources
N/A
Additional Information
N/A