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STAT20070

Academic Year 2024/2025

Data Modelling for Science (STAT20070)

Subject:
Statistics & Actuarial Science
College:
Science
School:
Mathematics & Statistics
Level:
2 (Intermediate)
Credits:
5
Module Coordinator:
Dr Garrett Greene
Trimester:
Autumn
Mode of Delivery:
On Campus
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

This course is an introduction to some of the statistical methods used for analyzing data and draw conclusions, in application to medical, biological and scientific data. Core concepts will be presented using practical data examples, focusing on applications and critical evaluation.
Main topics covered:
- Introduction: What is Statistics? - Types of data - Tools for describing data.
- Probability and distributions: Basics - Binomial distribution - Normal distribution - Sampling distributions.
- Analysis of continuous data: Basics of inference - Inference for the mean - Comparing two samples.
- Analysis of categorical data: Inference for proportions - Analysis and inference of frequency tables.

About this Module

Learning Outcomes:

On completion of this module, students should have acquired the following skills:
- Use Binomial and Normal distributions
- Perform inference on numerical continuous data and compare two populations
- Perform inference on proportions related to categorical data
- Being able to analyze and perform inference on categorical data in the form of frequency tables
- Have a general understanding of all the statistical methods introduced and being able to use them according to the context and purpose of analysis

Student Effort Hours:
Student Effort Type Hours
Autonomous Student Learning

96
Lectures

18
Tutorial

10
Total

124

Approaches to Teaching and Learning:
Lectures, tutorials, enquiry and problem-based learning.

Requirements, Exclusions and Recommendations
Learning Exclusions:

Since this is an introductory course in Biostatistics, it is not appropriate that any student take this module if they have already taken equivalent material in another module.


Module Requisites and Incompatibles
Incompatibles:
FOR20100 - Applied Biostatistics


 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Exam (In-person): 2-hour In-person exam in RDS End of trimester
Duration:
2 hr(s)
 Standard conversion grade scale 40% No
60
 No
Assignment(Including Essay): Two data analysis assignments, worth 20% each. Week 5, Week 10 Standard conversion grade scale 40% No
40
 No

Carry forward of passed components
No
 

Resit In Terminal Exam
Spring Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Dr Fabian Ofurum Tutor

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
Autumn Lecture Offering 1 Week(s) - Autumn: All Weeks Fri 13:00 - 13:50
Autumn Lecture Offering 1 Week(s) - Autumn: All Weeks Tues 13:00 - 13:50
Autumn Tutorial Offering 1 Week(s) - 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 Thurs 13:00 - 13:50
Autumn Tutorial Offering 2 Week(s) - 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 Wed 18:00 - 18:50
Autumn Tutorial Offering 3 Week(s) - 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 Wed 14:00 - 14:50
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