Module Title: | Robotics Programming 2 |
Language of Instruction: | English |
Teaching & Learning Strategies: |
A combination of lectures, class discussions, tutorials, laboratory exercises and demonstrations will be used. Emphasis will be placed on active learning including problem / project-based learning. |
Module Aim: |
To advance the students’ knowledge in software development using a high-level programming language; to equip students with the skills and techniques required to develop software using an industry standard integrated development environment (IDE). |
Learning Outcomes |
On successful completion of this module the learner should be able to: |
LO1 |
Demonstrate an understanding of software and algorithm development and the building blocks of a high-level programming language. |
LO2 |
Utilise modular programming, flowcharts, pseudocode and debugging techniques in software development. |
LO3 |
Define and use a variety of data types and structures in an appropriate context. |
LO4 |
Produce clearly documented source code using a neat programming style. |
LO5 |
Use a distributed revision control and source code management system. |
LO6 |
Combine programming constructs to implement problem-solving algorithms, compare good and bad implementations and algorithms. |
LO7 |
Work as an individual or in a small group to design and implement a software solution for a real world problem using a basic textual description of the problem. |
Pre-requisite learning |
Module Recommendations
This is prior learning (or a practical skill) that is recommended before enrolment in this module.
|
No recommendations listed |
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module. |
No incompatible modules listed |
Co-requisite Modules
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No Co-requisite modules listed |
Requirements
This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed. |
No requirements listed |
Module Content & Assessment
Indicative Content |
Data Types
Data types, arrays, strings, pointers, structures, typecasting
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Making Decisions and Iterations
Conditional statements, ternary operator, loops, nesting
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Functions
User-defined functions, passing by value and by reference, recursion
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Algorithms
Algorithm implementation (sorting, search, numerical methods)
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Software Development, Testing and Debugging
Use a professional Integrated Development Environment (IDE) and debug code (breakpoints, single step), develop algorithms
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Assessment Breakdown | % |
Project | 40.00% |
Practical | 20.00% |
End of Module Formal Examination | 40.00% |
Project |
Assessment Type |
Assessment Description |
Outcome addressed |
% of total |
Assessment Date |
Project |
A problem-based learning project based on real world scenarios. |
1,2,3,4,5,7 |
40.00 |
n/a |
Practical |
Assessment Type |
Assessment Description |
Outcome addressed |
% of total |
Assessment Date |
Practical/Skills Evaluation |
Practical assessments to complement the laboratory exercises. |
1,2,3,4,5,6,7 |
20.00 |
n/a |
End of Module Formal Examination |
Assessment Type |
Assessment Description |
Outcome addressed |
% of total |
Assessment Date |
Formal Exam |
A final theory and practical exam to assess the students' learning. |
1,2,3,4,5,6 |
40.00 |
End-of-Semester |
SETU Carlow Campus reserves the right to alter the nature and timings of assessment
Module Workload
Workload: Full Time |
Workload Type |
Frequency |
Average Weekly Learner Workload |
Lecture |
Every Week |
3.00 |
Laboratory |
Every Week |
4.00 |
Independent Learning Time |
Every Week |
11.00 |
Total Hours |
18.00 |
Module Delivered In
|