Last modified: 23 Jul 2024 10:44
This course provides an introduction to experimental research for science and engineering. A key focus is on proper experimental design, supported by honest evaluation through the use of, usually, statistical methods. The course uses many examples of widely varying types as illustration of how empirical research should - and should not - be done in the sciences.
| Study Type | Undergraduate | Level | 3 |
|---|---|---|---|
| Term | First Term | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | Offshore | Sustained Study | No |
| Co-ordinators |
|
||
In all the topics covered the emphasis will be on understanding the diversity of issues in and approaches to computing research, and umbuing the ability to select and utilise the appropriate tools for your research.
• The Scientific Method
• Tools for reporting research, including LaTeX
• Literature and background research
• Experimental Design
• Statistical Hypothesis Testing
• Probability and Statistics Refresher
• Computational Tools for Statistics: Using the R Language
• Nonparametric Statistical Tests and Experimental Design
• Parametric Statistical Tests and Experimental Design
• Qualitative Methods
• Summary and Notes on Common Methodological Errors
Information on contact teaching time is available from the course guide.
| Assessment Type | Summative | Weighting | 30 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Conceptual | Apply | An understanding of statistical hypothesis testing, an ability to use statistics to evaluate results, and a related ability to design good experiments for different types of hypotheses. |
| Conceptual | Apply | An ability to review existing research, critique published literature, critically evaluate and assess evidence and the quality and validity of research. |
| Conceptual | Apply | Knowledge and understanding of the theory and practice of scientific and engineering research including: philosophical ideas underpinning different research approaches; quantitative and qualitative re |
| Procedural | Apply | An ability to use appropriate, modern tools to perform analysis and present results. |
| Procedural | Evaluate | Transferable intellectual skills including critical thinking, constructing an argument, and writing skills. |
| Assessment Type | Summative | Weighting | 70 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Conceptual | Apply | An ability to review existing research, critique published literature, critically evaluate and assess evidence and the quality and validity of research. |
| Conceptual | Apply | Knowledge and understanding of the theory and practice of scientific and engineering research including: philosophical ideas underpinning different research approaches; quantitative and qualitative re |
| Conceptual | Apply | An understanding of statistical hypothesis testing, an ability to use statistics to evaluate results, and a related ability to design good experiments for different types of hypotheses. |
| Procedural | Apply | An ability to use appropriate, modern tools to perform analysis and present results. |
| Procedural | Evaluate | Transferable intellectual skills including critical thinking, constructing an argument, and writing skills. |
There are no assessments for this course.
| Assessment Type | Summative | Weighting | ||
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
|
|
||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Procedural | Evaluate | Transferable intellectual skills including critical thinking, constructing an argument, and writing skills. |
| Conceptual | Apply | Knowledge and understanding of the theory and practice of scientific and engineering research including: philosophical ideas underpinning different research approaches; quantitative and qualitative re |
| Conceptual | Apply | An understanding of statistical hypothesis testing, an ability to use statistics to evaluate results, and a related ability to design good experiments for different types of hypotheses. |
| Conceptual | Apply | An ability to review existing research, critique published literature, critically evaluate and assess evidence and the quality and validity of research. |
| Procedural | Apply | An ability to use appropriate, modern tools to perform analysis and present results. |
We have detected that you are have compatibility mode enabled or are using an old version of Internet Explorer. You either need to switch off compatibility mode for this site or upgrade your browser.
