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This course explores topics of mobile computing platforms. It will explore a range of issues, for example user experience (UX) and the importance of asynchronous and event driven software design, and the implications of resource constraints, e.g., battery and memory. The course will likely use the Google Android platform as the primary example to demonstrate the topics; and will complement this example with brief consideration of other platforms and app development frameworks (e.g., iOS development using Swift and cross-platform development using React Native).
Covid-19 Update: Please refer to the course page on AKO | Learn for all information about your course, including lectures, labs, tutorials and assessments.
Understand the architecture of mobile applications including the limitations imposed by the typical resource constraints of mobile platforms;Understand the local and remote services available to, and required by, mobile applications;Recognise some of the challenges relating to developing and deploying mobile applications;Be able to write a simple mobile application, taking a well-structured approach and making appropriate use of relevant resources.Understand some of the emerging mobile technologies;Critically compare different mobile technologies, such as different platforms, and the different approaches to implementation.
Students must attend one activity from each section.
Please note that the course activity times advertised here are currently in draft form, to be finalised on Monday 30 January 2023 for S1 and whole year courses, and Monday 26 June 2023 for S2 courses. Please hold off enquiries about these times until those finalisation dates.
2022 Covid-19 Update: Please refer to the course page on AKO | Learn for all information about your course, including lectures, labs, tutorials and assessments.Updated Semester One 2022 assessment deadlines and details will be available once finalised.
Given the nature of the course, and the rapid change in mobile development technologies, there is no single generic text book. Advice will be available from the course coordinator for appropriate textbooks and other resource. These will often depend on the particular technologies the students intend to use for the development of an app in their assignment/s.
Course Information on Learn
The Computer Science department's grading policy states that in order to pass a course you must meet two requirements:1. You must achieve an average grade of at least 50% over all assessment items.2. You must achieve an average mark of at least 45% on invigilated assessment items.If you satisfy both these criteria, your grade will be determined by the following University-wide scale for converting marks to grades: an average mark of 50% is sufficient for a C- grade, an average mark of 55% earns a C grade, 60% earns a C+ grade and so forth. However if you do not satisfy both the passing criteria you will be given either a D or E grade depending on marks. Marks are sometimes scaled to achieve consistency between courses from year to year.Students may apply for special consideration if their performance in an assessment is affected by extenuating circumstances beyond their control.Applications for special consideration should be submitted via the Examinations Office website within five days of the assessment. Where an extension may be granted for an assessment, this will be decided by direct application to the Department and an application to the Examinations Office may not be required. Special consideration is not available for items worth less than 10% of the course.Students prevented by extenuating circumstances from completing the course after the final date for withdrawing, may apply for special consideration for late discontinuation of the course. Applications must be submitted to the Examinations Office within five days of the end of the main examination period for the semester.
Domestic fee $1,079.00
International fee $5,125.00
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see
Computer Science and Software Engineering