BSEN30590 MATLAB and R for beginners

Academic Year 2023/2024

This module is designed to provide students with a practical understanding of the use of MATLAB and R for data analysis. This module assumes no prior knowledge of programming. Students will learn how to load, visualise and organise data in MATLAB, basic programming concepts, writing scripts and functions. Students will learn how to translate these concepts into the R software environment. By the end of the module, students will have gained the necessary skills to use MATLAB and R for the analysis of a wide range of data types.

Show/hide contentOpenClose All

Curricular information is subject to change

Learning Outcomes:

On completion of this module, students should be able to:
1. Analyse and manage numerical data in MATLAB and R
2. Understand the meaning of and how to manipulate various variable types
3. Write scripts and basic functions for a predefined goal

Student Effort Hours: 
Student Effort Type Hours
Lectures

10
Tutorial

10
Autonomous Student Learning

80
Total

100
Approaches to Teaching and Learning:
This module is designed to provide students with a practical understanding of the use of MATLAB and R for data analysis. This module assumes no prior knowledge of programming. Students will learn how to load, visualise and organise data in MATLAB, basic programming concepts, writing scripts and functions. Students will learn how to translate these concepts into the R software environment. By the end of the module, students will have gained the necessary skills to use MATLAB and R for the analysis of a wide range of data types. 
Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Assignment: Exercise using MATLAB and associated short report Week 1 n/a Pass/Fail Grade Scale No

25
Assignment: Exercise using MATLAB and associated short report Week 3 n/a Pass/Fail Grade Scale No

25
Assignment: Exercise using R and associated short report Week 4 n/a Pass/Fail Grade Scale No

25
Assignment: Exercise using MATLAB and associated short report Week 2 n/a Pass/Fail Grade Scale No

25

Carry forward of passed components
Yes
 
Resit In Terminal Exam
Spring No
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Feedback individually to students, on an activity or draft prior to summative assessment
• Feedback individually to students, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

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) - 1, 2, 3, 4 Thurs 14:00 - 17:50