Module Catalogue 2017/18

BIO3032 : Cell Biology 3

  • Offered for Year: 2017/18
  • Module Leader(s): Dr Ethan Hack
  • Lecturer: Dr Timothy Boswell
  • Owning School: Natural and Environmental Sciences
  • Teaching Location: Newcastle City Campus
Semester 2 Credit Value: 10
ECTS Credits: 5.0
Pre Requisites
Pre Requisite Comment


Co Requisites
Co Requisite Comment



To inform students of major genetic and environmental factors that influence cell survival, proliferation, and damage; to describe and explain underlying cell biological processes; to enhance students’ ability to understand and evaluate evidence underlying descriptions of cellular processes.

Outline Of Syllabus

Introduction: normal and abnormal growth and development.
How cells respond to stress; osmotic stress as example.
Growth factors, signal transduction and cell cycle control.
Cellular basis of biological rhythms.
Workshop and in-class test: data interpretation exercise.

Learning Outcomes

Intended Knowledge Outcomes

Students should have increased their appreciation of the processes and principles determining cell proliferation, differentiation, and survival through knowledge and understanding of selected specific examples of responses to stress and of how growth is co-ordinated. They should be able to interpret and evaluate published data, from a variety of methodologies, underlying descriptions of cellular processes.

Intended Skill Outcomes

Students should have improved their ability to interpret data presented in scientific literature.

Graduate Skills Framework

Graduate Skills Framework Applicable: Yes
  • Cognitive/Intellectual Skills
    • Numeracy : Assessed
    • Literacy : Assessed
    • Information Literacy
      • Source Materials : Present
      • Synthesise And Present Materials : Assessed
  • Self Management
    • Planning and Organisation
      • Goal Setting And Action Planning : Present
  • Interaction
    • Communication
      • Interpersonal : Present
    • Team Working
      • Collaboration : Present
      • Negotiation : Present

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion130:306:30Exam revision
Guided Independent StudyAssessment preparation and completion11:001:00In-class data interpretation test
Scheduled Learning And Teaching ActivitiesLecture131:0013:00N/A
Guided Independent StudyAssessment preparation and completion124:3024:30N/A
Guided Independent StudyAssessment preparation and completion12:002:00Written exam
Guided Independent StudyDirected research and reading132:0026:00Study of recommended references
Guided Independent StudySkills practice110:0010:00Preparation for data interpretation test
Scheduled Learning And Teaching ActivitiesWorkshops12:002:00Group workshop on data interpretation
Guided Independent StudyIndependent study12:002:00Preparation for workshop
Guided Independent StudyIndependent study131:0013:00Lecture follow-up
Teaching Rationale And Relationship

The lectures explain key concepts and outline illustrative examples. The final lecture is a review session. The workshop provides a forum for groups of students to share their interpretations of published data relating to important topics in the module. The in-class test provides an opportunity for students to practise interpretation of structured data. Private study is necessary for students to absorb information presented in lectures, to deepen their knowledge and understanding through reading supporting references, and to prepare for the data interpretation test.

Reading Lists

Assessment Methods

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

Description Length Semester When Set Percentage Comment
Written Examination1202A80N/A
Other Assessment
Description Semester When Set Percentage Comment
Written exercise2M20Data interpretation test
Assessment Rationale And Relationship

The exam assesses students’ skill in logical thought and analysis of scientific data and knowledge, understanding, and ability to integrate subject material learned from lectures and additional reading. The data interpretation test helps students develop their ability to scrutinise and understand data presented in a structured form.


Past Exam Papers

General Notes


Disclaimer: The information contained within the Module Catalogue relates to the 2017/18 academic year. In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described. Modules may be amended on an annual basis to take account of changing staff expertise, developments in the discipline, the requirements of external bodies and partners, and student feedback. Module information for the 2017/18 entry will be published here in early-April 2017. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.