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EG1002 - Computing and Sensors
Credit points: |
3 |
Year: |
2023 |
Student Contribution Band: |
Band
2 |
Administered by: |
College of Science and Engineering |
Computer programming is introduced as a tool to solve engineering problems. The MATLAB
programming language is taught with specific applications from all engineering disciplines.
Variables, conditional statements, loops, functions, exception handling, formatted
input/output, debugging, profiling, algorithm design, and numerical analysis including
floating point formats are covered. The subject introduces sensor technologies, and
includes the acquisition and visualisation of data from Internet of Things devices.
Learning Outcomes
- recognise common programming structures such as variables, data types, loops, conditional
statements and functions, and be able to apply them within simple pieces of software;
- design and implement Matlab software that solves common engineering problems;
- practice good software design principles such as modularisation, the effective use
of subroutines, and clear commenting;
- demonstrate an understanding of numerical rounding, truncation, and error in computational
solutions;
- effectively use spreadsheets for data analysis and manipulation;
- appropriately process data across its lifecycle from acquisition to analysis and visualisation.
Subject Assessment
- Written > Test/Quiz 1 - (15%) - Individual
- Performance/Practice/Product > Software development/creation - (60%) - Individual
- Performance/Practice/Product > Practical assessment/practical skills demonstration - (10%) - Individual
- Written > Test/Quiz 2 - (15%) - Individual.
Inadmissible Subject Combinations:
|
CP1401 |
Availabilities
|
Cairns,
Study Period 1,
Internal
|
Census Date 23-Mar-2023 |
Coord/Lect: |
Dr Stephanie Baker. |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 26 hours lectures
- 13 hours tutorials
- 24 hours specialised
- assessment and self-directed study
|
|
|
Townsville,
Study Period 1,
Internal
|
Census Date 23-Mar-2023 |
Coord/Lect: |
Assoc. Professor Mostafa Rahimi Azghadi. |
Workload expectations: |
The student workload for this
3
credit point subject is approximately
130 hours.
- 26 hours lectures
- 26 hours specialised
- assessment and self-directed study
|
|
|
Note:
Minor variations might occur due to the continuous Subject quality improvement process,
and in case
of minor variation(s) in assessment details, the Subject Outline represents the latest
official information.