PH0S048 - Scientific Data Literacy 01 Aug 2023 - 31 Jul 2029 | Version 3
Associated Module Information
| Module Code: | PH0S048 | ||
|---|---|---|---|
| Module Title: | Scientific Data Literacy | ||
| Faculty: | Faculty of Computing, Engineering and Science | ||
| Faculty Group: | Chemical and Environmental Sciences | ||
| Faculty Sub Group: | Chemical and Environmental Sciences | ||
| Module Leader: | Natasha Galea | ||
| Module Team: | Peter Miedziak, Suzanna Kean, Rehana Karim, Hannah Seale, Rhian Newman, James Cruwys | ||
| First Intended Intake: | SEP 2018 | Final Year of Intake: | 2028 |
| Date Closed: | |||
| Credit Value: | 20 | Credit Level: | 3 |
| Language: | English | ||
| Percentage of Module Taught in Welsh: | 0 | ||
| Equivalent Module: | |||
| HECOS codes: | 100403 - mathematics | ||
| HECOS Code Weighting: | 100 | ||
Document Version Information
| Version | 3 |
|---|---|
| Valid From | 01 Aug 2023 |
| Valid To | 31 Jul 2029 |
Module Aims
1. The understanding and application of simple mathematical functions and tools, in order to recognise the significance of and manipulate scientific data, and to appreciate the role of mathematics within the sciences.
2. To utilise simple mathematical functions to manipulate date within appropriate digitally based mathematical tools.
Content Summary
This module is designed to develop and support the student’s application of numerical literacy and data handling in the broad context of science, via accessible examples and simple terms.
Introduction to quantitative science, units and measurements.
Basic arithmetic, BODMAS.
Decimals and scientific notation. Significant figures and decimal places. Approximation, orders of magnitude.
Indices, logarithms, and exponentials.
Fractions, percentages, ratios.
Algebra, working with and simplifying algebraic expressions.
Lengths / areas / volumes / angles, appropriate units and conversions of common shapes.
Linear equations, and associated graphs.
Trigonometry and triangles.
Application of Microsoft EXCEL as a scientist’s tool for presenting and manipulating data.
Learning and Teaching Methods
| Activity Type | Hours |
|---|---|
| Lecture | 2 |
| Practical classes and workshops | 26 |
| Independent Study | 50 |
| Directed Study | 102 |
| Formative Assessment - Scheduled | 4 |
| Problem / challenge based learning | 16 |
| Total Hours Selected | 200 |
Learning Outcomes
| # | Learning Outcome |
|---|---|
| LO1 | Acquire and apply a range of basic numerical skills and interpret results of applications appropriately |
| LO2 | To understand the basic mathematics underpinning applications in science and to be able to choose and perform numerical techniques as appropriate |
Module Requisites
N/A
Assessment Criteria
| Assessment Category | Assessment Type | Description | Duration | Word Count | Weight (%) | Best of? | Pass Mark |
|---|---|---|---|---|---|---|---|
| Synchronous Online Assessment | Time-constrained assessment (Online) 1 | 90 | N/A | 60 | No | 40 | |
| Asynchronous Assessment | Portfolio 1 | Guided assessments demonstrating appropriate use of taught theory and skills within Microsoft Excel: * Excel Exercise 1 * Excel Exercise 2 * Excel Exercise 3 * Excel Exercise 4/5. | 0 | 2000 | 40 | No | 40 |
Assessment Matrix
| Assessment Type | Learning Outcomes | ||
|---|---|---|---|
| LO1 | LO2 | ||
| Time-constrained assessment (Online) 1 | ✔ | ✔ | |
| Portfolio 1 | ✔ | ✔ | |