Year
2021
Units
4.5
Contact
1 x 1-hour seminar weekly
1 x 1-hour workshop weekly
1 x 2-hour practical weekly
1 x 1-hour supervised study weekly
2 x 1-hour on-line lectures weekly
Enrolment not permitted
1 of BIOL1105, BIOL1203 has been successfully completed
Course context

Students can contact the teaching team.

Assessment
Practical Exercises (incl Pre-lab quizzes on FLO, lab reports and laboratory notebook), FLO Quizzes, Supervised Study, Research Project, Library Quizzes, Reflective Piece, Final Exam.
Topic description

This topic discusses how plants, animals and microbes control their internal activities at the biochemical, genetic and physiological level. Emphasis will be placed on the similarities between the different groups and on how they can be analysed.

Educational aims

This topic aims to ensure that students have a basic understanding of the following:

  • The cellular nature of life and the function of intracellular organelles
  • The genetic systems of prokaryotes and eukaryotes
  • The nature of genetic information and how it is replicated, how it is expressed and how the expression is regulated
  • How a multicellular organisms can develop from a single cell and how cells communicate in multicellular organisms
  • How the intracellular environment is regulated and metabolic energy derived and utilised
  • How the needs of organisms are met from their environment
Expected learning outcomes
On completion of this topic you will be expected to be able to:

  1. Understand the microscopic structure of cells
  2. Describe the needs of organisms and how these are met from their environment
  3. Understand the nature and flow of genetic information
  4. Predict outcomes of simple Mendelian inheritance
  5. Describe how cellular processes are regulated
  6. Describe how complex organisms develop from a single cell
  7. Develop basic skills to search, retrieve and interpret articles published in scientific journals
  8. Develop basic laboratory skills including technical skills, experimental design and data interpretation