BS141-4-FY-CO:
Scientific and Transferable Skills for Biosciences

PLEASE NOTE: This module is inactive. Visit the Module Directory to view modules and variants offered during the current academic year.

The details
2019/20
Life Sciences (School of)
Colchester Campus
Full Year
Undergraduate: Level 4
Inactive
Thursday 03 October 2019
Friday 26 June 2020
30
12 September 2019

 

Requisites for this module
(none)
(none)
(none)
(none)

 

(none)

Key module for

BSC C410 Genetics and Genomics,
BSC C411 Genetics and Genomics (Including Placement Year),
BSC C412 Genetics and Genomics (Including Year Abroad)

Module description

The aim of this module is to provide all 1st year Life Science students with the necessary quantitative and analytical skills to enhance performance in other first year modules and to prepare you for your second and third year. Students will develop their practical and transferable skills in areas including basic laboratory skills and safety issues, experimental design, data handling, presentation and interpretation, basic statistical analysis. Subject specific skills in molecular spectroscopy (Biomedical Sciences and Biochemistry) and in R programming for statistical analysis and graphical presentation of data (Marine Biology, Biological Sciences and Genetics). Teaching and learning will be through a mixture of lectures, classes, and online quizzes.

Learning Outcomes:
To pass this module students will need to be able to:
1. demonstrate an understanding of the scientific method, experimental design and investigation in the biosciences; be competent in basic scientific laboratory practice and aware of health and safety requirements in the laboratory;
2. demonstrate an appropriate level of understanding of basic chemical and physical concepts;
3. use scientific units and simple algebra and demonstrate understanding of logarithms, exponentials, geometry and elementary calculus;
4. use basic IT systems effectively for data handling and presentation in tables and graphical formats;
5. be able to analyse data from experiments and draw sound conclusions about the underlying processes using their understanding of mathematics and statistics;
6. demonstrate an understanding of selected subject specific data analysis skills.

Module aims

No information available.

Module learning outcomes

No information available.

Module information

Two MCQ (Multiple Choice Questions) exams both in wk 15 contributing 25% each to the overall mark.
Coursework(contribution to the overall mark):
1 Maths on-line assessments: 12.5%
1 Statistics worksheet: 12.55%
Tutorial programme: 25%

Learning and teaching methods

Mixture of lectures, classes and tutorials.

Bibliography

This module does not appear to have a published bibliography.

Overall assessment

Coursework Exam
50% 50%

Reassessment

Coursework Exam
50% 50%
Module supervisor and teaching staff
Excluding tutors, Dr Radu Zabet, Dr Toni Marco, Prof Leo Schalkwyk, Dr Eoin O'Gorman, Dr Emmanuele Conte
School Undergraduate Office, email: bsugoffice (Non essex users should add @essex.ac.uk to create the full email address)

 

Availability
No
No
No

External examiner

Dr Clive Butler
The University of Exeter
Associate Professor of Microbial Biochemistry
Resources
Available via Moodle
Of 412 hours, 21 (5.1%) hours available to students:
391 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).

 

Further information
Life Sciences (School of)

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