NUS8304 : Programming for Automation
NUS8304 : Programming for Automation
- Offered for Year: 2024/25
- Module Leader(s): Dr Pavan Kumar Naraharisetti
- Owning School: NUIS
- Teaching Location: Singapore
Semesters
Your programme is made up of credits, the total differs on programme to programme.
| Semester 2 Credit Value: | 20 |
| ECTS Credits: | 10.0 |
| European Credit Transfer System | |
Pre-requisite
Modules you must have done previously to study this module
Pre Requisite Comment
N/A
Co-Requisite
Modules you need to take at the same time
Co Requisite Comment
N/A
Aims
This module aims to provide fundamental knowledge and skills in software programming so that students will know how to write scripts to communicate with lab equipment
Outline Of Syllabus
1. Introduction to Programming – Requirements gathering, Writing Pseudo Code,
Developing Flow Charts.
2. Programming with Python - Mathematical Operators, Conditional Statements, Loops,
Error Handling, Functions.
3. Scientific Programming - Matrix operations, data exchange (excel, text, csv), numpy,
pandas, scipy, functions.
4. Object Oriented Programming, Classes
5. Threads for developing GUI / HMI
6. Client-Server architecture and APIs
7. Communications, Networking and Standards (OPC-UA, Serial and Ethernet connections,
Cybersecurity)
Learning Outcomes
Intended Knowledge Outcomes
At the end of the module, students should:
• Be able to analyse a problem, perform requirements gathering and develop pseudo
code and flow-charts.
• Use knowledge of the relationship between data handling and programming to create a plan
for software development.
• Use knowledge of how equipment can be connected, data processed and equipment controlled to
create software for automation.
Intended Skill Outcomes
At the end of the module, students should be able to:
• Write programs to solve everyday problems.
• Write programs to communicate and control lab equipment.
• Build a GUI for automation applications.
• Evaluate existing code, make modifications to the same and develop new code as necessary
Teaching Methods
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Scheduled Learning And Teaching Activities | Lecture | 12 | 2:30 | 30:00 | Lectures |
| Guided Independent Study | Assessment preparation and completion | 1 | 17:00 | 17:00 | Preparation for programming lab exam |
| Guided Independent Study | Assessment preparation and completion | 1 | 2:00 | 2:00 | Final exam |
| Guided Independent Study | Assessment preparation and completion | 1 | 24:00 | 24:00 | Revision for exam |
| Guided Independent Study | Assessment preparation and completion | 1 | 18:00 | 18:00 | Coursework assignment preparation |
| Guided Independent Study | Assessment preparation and completion | 1 | 1:00 | 1:00 | Programming lab exam |
| Scheduled Learning And Teaching Activities | Small group teaching | 12 | 1:00 | 12:00 | Tutorials |
| Guided Independent Study | Independent study | 1 | 60:00 | 60:00 | Review lecture notes, general and background reading, reading specified articles, practice problems |
| Guided Independent Study | Independent study | 12 | 1:00 | 12:00 | Tutorial preparation |
| Guided Independent Study | Independent study | 12 | 2:00 | 24:00 | Lecture follow-up |
| Total | 200:00 |
Teaching Rationale And Relationship
Teaching is conducted via lectures and tutorial with small group discussions during class. This is complemented with self-study and preparation of tutorial solutions, coursework/project and final examination to provide feedback on student learning. Teaching materials are made available to the students online for self-study and preparation at their own pace. Tutorial classes enable students to ask questions and clarify any doubts.
Due to the emerging Covid-19 situation, it is likely that some or all of the classes are conducted online. Attendance will be taken irrespective of whether the class is online or face-to-face, and students are expected to switch on their camera for online classes.
Reading Lists
Assessment Methods
The format of resits will be determined by the Board of Examiners
Exams
| Description | Length | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|---|
| Written Examination | 120 | 2 | A | 80 | Final exam |
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Written exercise | 2 | M | 20 | Assignment on writing pseudo code, developing flow-charts and writing programs to solve eng problems. Team report max 1500 words |
Formative Assessments
Formative Assessment is an assessment which develops your skills in being assessed, allows for you to receive feedback, and prepares you for being assessed. However, it does not count to your final mark.
| Description | Semester | When Set | Comment |
|---|---|---|---|
| Practical/lab report | 2 | M | 90-minute programming lab exam where students should write programmes using Python |
Assessment Rationale And Relationship
Coursework assignment provides students more time to think about more significant problems and provide engineering solutions for the same. It allows solving smaller components of a larger problem while having their goal set on solving a more significant problem. The programming lab exam allows the students to know where they stand concerning their ability to write programmes in a real-life setting. The final written exam enables students to demonstrate the ability to apply knowledge and skills learnt to solve engineering problems
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- NUS8304's Timetable
Past Exam Papers
- Exam Papers Online : www.ncl.ac.uk/exam.papers/
- NUS8304's past Exam Papers
General Notes
N/A
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The information contained within the Module Catalogue relates to the 2024 academic year.
In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described.
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