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ACE1040 : Academic and Professional Skills

  • Offered for Year: 2022/23
  • Module Leader(s): Mrs Helen Adamson
  • Lecturer: Dr Francisco Areal
  • Other Staff: Mrs Julia Robinson
  • Owning School: Natural and Environmental Sciences
  • Teaching Location: Newcastle City Campus
Semester 1 Credit Value: 10
Semester 2 Credit Value: 10
ECTS Credits: 10.0


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.

Outline Of Syllabus

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

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Scheduled Learning And Teaching ActivitiesLecture102:0020:00N/A
Guided Independent StudyAssessment preparation and completion601:0060:00Assessment Preparation
Structured Guided LearningLecture materials21:002:00Synchronous Online Lecture
Structured Guided LearningLecture materials151:0015:00Non-synchronous lecture material
Scheduled Learning And Teaching ActivitiesPractical121:0012:00PiP Computer practical
Scheduled Learning And Teaching ActivitiesPractical12:002:00PiP Presentation
Guided Independent StudySkills practice601:0060:00Preparation non synchronous skills practice
Scheduled Learning And Teaching ActivitiesSmall group teaching41:004:00PiP Tutorial
Scheduled Learning And Teaching ActivitiesDrop-in/surgery121:0012:00Synchronous Online Drop Ins
Guided Independent StudyStudent-led group activity131:0013:00Student-led group work
Teaching Rationale And Relationship

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*

Assessment Methods

The format of resits will be determined by the Board of Examiners

Other Assessment
Description Semester When Set Percentage Comment
Written exercise1M25Essay plan with references and search strategy (500 words).
Poster1M25Poster and PowerPoint presentation on chosen topic (circa 10 slides)
Written exercise2M50Statistical Analysis
Formative Assessments
Description Semester When Set Comment
Prof skill assessmnt1MDuring tutorials, staff give feedback on drafts of posters
Assessment Rationale And Relationship

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.

Reading Lists