Your programme is made up of credits, the total differs on programme to programme.
Semester 1 Credit Value: | 10 |
Semester 2 Credit Value: | 10 |
ECTS Credits: | 10.0 |
European Credit Transfer System | |
The module aims to
• develop basic skills in operating computer software within a Windows environment in the context of reporting the output of research
• develop communication and study skills to enable independent learning at a HE level in particular how to find, analyse, synthesise and present information appropriately.
• introduce the application of statistical techniques to agricultural, nutrition, business, environmental and animal data.
MS Office: MS Word, Excel, PowerPoint, R and R Studio
Research skills: library search stragegy and referencing
Experimental design, basic data manipulation, interpretation and presentation, data analysis
Communication: essay structure, presentation, poster
Category | Activity | Number | Length | Student Hours | Comment |
---|---|---|---|---|---|
Structured Guided Learning | Lecture materials | 2 | 1:00 | 2:00 | Synchronous Online Lecture |
Scheduled Learning And Teaching Activities | Lecture | 10 | 2:00 | 20:00 | N/A |
Guided Independent Study | Assessment preparation and completion | 60 | 1:00 | 60:00 | Assessment Preparation |
Structured Guided Learning | Lecture materials | 15 | 1:00 | 15:00 | Non-synchronous lecture material |
Scheduled Learning And Teaching Activities | Practical | 12 | 1:00 | 12:00 | PiP Computer practical |
Scheduled Learning And Teaching Activities | Practical | 1 | 2:00 | 2:00 | PiP Presentation |
Guided Independent Study | Skills practice | 60 | 1:00 | 60:00 | Preparation non synchronous skills practice |
Scheduled Learning And Teaching Activities | Small group teaching | 4 | 1:00 | 4:00 | PiP Tutorial |
Scheduled Learning And Teaching Activities | Drop-in/surgery | 12 | 1:00 | 12:00 | Synchronous Online Drop Ins |
Guided Independent Study | Student-led group activity | 13 | 1:00 | 13:00 | Student-led group work |
Total | 200:00 |
In semester 1 students will work in groups (SO2) to present a PowerPoint, Poster and Essay Structure (SO4, SO5, KO1, SO3) on a relevant topic (SO4, KO6). They will receive lectures and practical sessions to develop their MS-Office skills (SO5), and to learn about sourcing and referencing information (KO2). In tutorials they will develop their chosen topics and critically assess former work against assessment criteria (KO5, KO1).
In semester 2, Core and supplementary material for this module (e.g. lecture slides, datasets, R files and videos) will offer students the required resources to 1) gain an understanding on what statistical techniques can be used to understand and solve research questions and 2) learn how to use key statistical techniques in data analysis.
*Extra tutorial groups will be given as extra PiP time if needed/required. Module leader will advise*
The format of resits will be determined by the Board of Examiners
Description | Semester | When Set | Percentage | Comment |
---|---|---|---|---|
Written exercise | 1 | M | 25 | Essay plan with references and search strategy (500 words). |
Poster | 1 | M | 25 | Poster and PowerPoint presentation on chosen topic (circa 10 slides) |
Written exercise | 2 | M | 50 | Statistical Analysis |
Formative Assessment is an assessment which develops your skills in being assessed, allows for you to receive feedback, and prepares you for being assessed. However, it does not count to your final mark.
Description | Semester | When Set | Comment |
---|---|---|---|
Prof skill assessmnt | 1 | M | During tutorials, staff give feedback on drafts of posters |
The written exercise addresses KO1, KO2, KO5, KO6, SO1, SO3, SO5, SO9.
The poster exercise addresses KO1, KO2, KO4, KO5, KO6, SO2, SO4, SO5, SO6, SO9.
The report addresses KO1, KO2, KO3, KO4, KO5, K07, SO1, SO2, SO3, SO5, SO6, SO7, SO8, SO9, SO10, SO11.