Show/hide contentOpenClose All
Curricular information is subject to change
1. Describe the differences and objectives in univariate and multivariate data
2. Analyze data and interpret what the results signify
3. prepare and present an analysis of their own data producing outputs suitable for publication both in numerical and graphical form
4. Become familiar with running models through R
5. Appraise similar methods in the literature
Student Effort Type | Hours |
---|---|
Lectures | 12 |
Computer Aided Lab | 24 |
Autonomous Student Learning | 64 |
Total | 100 |
Not applicable to this module.
Resit In | Terminal Exam |
---|---|
Summer | No |
• Feedback individually to students, post-assessment
Not yet recorded.
Name | Role |
---|---|
Ms Laura Gallego-Lorenzo | Tutor |
Laboratory | Offering 1 | Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 | Wed 09:00 - 09:50 |
Laboratory | Offering 1 | Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 | Wed 10:00 - 11:50 |