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Semester 1

Quantitative Skills for Biologists 1 (BILG08019)

Subject

Biology

College

SCE

Credits

20

Normal Year Taken

1

Delivery Session Year

2022/2023

Pre-requisites

Course Summary

The course is designed to apply selected topics in mathematics, basic statistical analysis, data handling and programming to an understanding of biological issues. The lectures and workshops will use biological data to illustrate key concepts and to develop student quantitative skills.

Course Description

Quantitative Skills for Biologists 1 is designed to apply selected topics in mathematics, basic exploratory data analysis, data handling and programming to an understanding of biological issues. The lectures, tutorials and workshops will use biological data and examples to illustrate key concepts and to develop quantitative skills. The important quantitative skills required in biology will be delivered through collaborative learning activities in collaborative and tutorials, plus self-directed study. The course will consist of 3 parallel-running modules: (a) mathematics, (b) programming for analysis of biological data and (c) exploratory data analysis (EDA). Mathematics will be delivered through assigned maths problems and optional tutorials, and programming and data analysis will be taught through collaborative workshops.

Assessment Information

Written Exam 0%, Coursework 100%, Practical Exam 0%

Additional Assessment Information

The course is assessed by a combination of in-course work. The in-course assessed work will consist of four components:(1) Python Weekly Quizzes (4 in total) contribute 20% of final mark.(2) EDA Quizzes (3 in total) contribute 20% of final mark.(3) Data Analysis project contributes 30% of final mark.(4) Maths Worksheet contributes 30% of final mark.There is no final examination.The Python and EDA Quizzes will be delivered online, automatically marked and thus the results (and some feedback) will be given immediately on finishing the tests.

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