Module Details

Module Code: PHYS6024
Title: Intro Prog for Inst & Analysis
Long Title: Intro Prog for Instrumentation &Analysis
NFQ Level: Fundamental
Valid From: Semester 1 - 2023/24 ( September 2023 )
Duration: 1 Semester
Credits: 5
Field of Study: 4411 - Physics
Module Delivered in: 3 programme(s)
Module Description: This module introduces the Python programming language, and its use in the control of scientific instruments, and collection and analysis of data. Some common features of Python are introduced, as well as code development strategies and techniques, in order to develop interfaces and scripts appropriate for measurement, control and data analysis applications.
 
Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Explain and implement data-types and operators.
LO2 Describe and implement common program control structures and subprograms.
LO3 Demonstrate the use of debugging tools in the development of applications.
LO4 Demonstrate the use of software libraries in the development of applications.
LO5 Develop programs for measurement, control and data analysis applications.
Dependencies
Module Recommendations

This is prior learning (or a practical skill) that is strongly recommended before enrolment in this module. You may enrol in this module if you have not acquired the recommended learning but you will have considerable difficulty in passing (i.e. achieving the learning outcomes of) the module. While the prior learning is expressed as named MTU module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
18073 PHYS6024 Intro Prog for Inst & Analysis
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module. You may not earn additional credit for the same learning and therefore you may not enrol in this module if you have successfully completed any modules in the incompatible list.
No incompatible modules listed
Co-requisite Modules
No Co-requisite modules listed
Requirements

This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed. You may not enrol on this module if you have not acquired the learning specified in this section.
No requirements listed
 
Indicative Content
Introduction
Introduction to the Python programming language, scripts, shells, interpreters, code editors and IDEs.
Fundamental Programming Concepts
Concept of variables and variable types, constants, arithmetic & logical operators, keyboard/screen I/O, strings, lists, control structures, functions, modules.
Application Development
Code development strategies, syntax & run-time errors, de-bugging, use of software libraries, version control e.g. git and github, virtual environments.
Applications to Measurement, Control and Data Analysis
Data acquisition from sensors/systems. Data processing and analysis using common software libraries e.g. pandas, matplotlib.
Module Content & Assessment
Assessment Breakdown%
Coursework100.00%

Assessments

Coursework
Assessment Type Short Answer Questions % of Total Mark 20
Timing Week 6 Learning Outcomes 1,2,3,4
Assessment Description
Written theory assessment
Assessment Type Practical/Skills Evaluation % of Total Mark 40
Timing Week 8 Learning Outcomes 1,2
Assessment Description
Open-book laboratory assessment
Assessment Type Practical/Skills Evaluation % of Total Mark 40
Timing Week 13 Learning Outcomes 1,2,3,4,5
Assessment Description
Open-book laboratory assessment
No End of Module Formal Examination
Reassessment Requirement
Coursework Only
This module is reassessed solely on the basis of re-submitted coursework. There is no repeat written examination.

The University reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact Delivery of module content Every Week 2.00 2
Lab Contact Delivery & application of module content Every Week 2.00 2
Independent & Directed Learning (Non-contact) Non Contact Study & homework Every Week 3.00 3
Total Hours 7.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 4.00
Workload: Part Time
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact Delivery of module content Every Week 2.00 2
Lab Contact Delivery & application of module content Every Week 2.00 2
Independent & Directed Learning (Non-contact) Non Contact Study & homework Every Week 3.00 3
Total Hours 7.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 4.00
 
Module Resources
Recommended Book Resources
  • Eric Matthes. (2019), Python Crash Course, 2nd. No Starch Press, [ISBN: 1593279280].
Supplementary Book Resources
  • Simon Monk. (2021), Programming the Raspberry Pi: Getting Started with Python, 3rd. McGraw Hill, [ISBN: 126425735X].
This module does not have any article/paper resources
Other Resources
 
Module Delivered in
Programme Code Programme Semester Delivery
CR_SINEN_8 Bachelor of Science (Honours) in Instrument Engineering 3 Mandatory
CR_SPHYS_7 Bachelor of Science in Applied Physics and Instrumentation 3 Mandatory
CR_SPHYS_6 Higher Certificate in Science in Applied Physics and Instrumentation 3 Mandatory