NSCI3102 – Making Sense of Data
Module code
NSCI3102
Module title
Making Sense of Data
Prescription
The aim of this course is to develop knowledge and skills relating to data analysis, data security and statistics in a collaborative project-based environment.
NZQA Level
Level 3
NZQA Credits
15
Delivery method
- Web-Enhanced
Learning hours
- Total learning hours
- 150
Resources required
- Content
- - Production and interpretation of graphical summaries of data
- Production and interpretation of numerical summary statistics
- Collaborative work
- Study design principles and data collection
- Graphical and numeric description of the relationship between two quantitative variables
- Data analysis and data security
- Ethically, socially and culturally responsive behaviour - Learning and Teaching Resource
- All required and recommended resources are advised to aakonga via course outlines.
- Teaching and Learning Strategy
- Learning and teaching activities will employ a range of elements drawn from approved methods to align with the context of the learning (delivery mode, regional specific requirement, etc.) and any particular needs of the group of aakonga.
- Learning Outcomes
- LO1 Use statistical analysis to make a formal inference in a STEM work related project.
LO2 Work collaboratively to investigate a situation using experimental design principles.
LO3 Summarise professional, ethical, social and cultural issues in a data-based project. - Assessment Criteria
- Assessment in this course is achievement-based. Aakonga must submit all specified assessment items and obtain at least 50% overall score in order to pass this course. Aakonga will be advised of all matters relating to summative assessment at the start of the course.
