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        代做FIT5046、代寫Python/Java程序語言

        時間:2024-04-30  來源:合肥網(wǎng)hfw.cc  作者:hfw.cc 我要糾錯



        FIT5046 – Mobile and Distributed Computing Systems
        Assessment 3 - Android App Development and Demo (40%)
        Moodle Submission Deadline: Friday 10 May 2024, 11:55 PM (Week 10)
        The assignment is worth 40% of the total mark for this unit.
        The assignment is a group assignment:
        Each group must have 3 to 4 members.
         All group members should be the same from Assessment 1.
        The assignment is a group assignment. Each group can have 3 to 4 members. The group
        members should be the same group members from Assignment 2.
        Learning outcomes: this assessment supports unit learning outcomes 1, 2 and 3.
         LO1: identify and describe different approaches and methods for building distributed
        and mobile computing systems;
         LO2: evaluate several models and approaches and select suitable mobile computing
        solution to a particular case;
         LO3: propose and develop a mobile or distributed system that is appropriate to a
        problem domain.
        In this assignment you will develop an Android app based on your proposed components,
        functionalities, and main screens proposed in Assignment 1.
        You can must create this app in Kotlin and using Jetpack Compose.
        For the implementation and demo, you must use the emulator (not a real device).
        Assignment marking
        The assignment will be marked based on the marking guide and rubric (uploaded on Moodle).
        The marks allocated for all the tasks in this assignment will add up to 100 marks (worth 40% of
        the total mark).
        FIT5046 (Mobile and Distributed
        Computing Systems)
        The group mark is 60% that will be based on the final app, considering completion of features,
        full functionality and other criteria mentioned in the marking guide.
        The individual mark is 40% and will be determined based on the interview results, considering
        promptness, correctness and level of understanding regarding the written code, Android
        concepts implemented, the application logic, and connections/links between different parts
        of the code and application.
        Interviews are compulsory for each group member and will be held in the labs in Week 11 and
        12.
        Submission requirements
        This assignment requires submitting a zip file (details below).
        Please use this file name: FIT5046Assign3-[studentSurnname]-[studentId]-[tutorSurname].zip
        The final submission (the zip file) must contain:
        1. Android project (containing all the folders and files)
        2. A demo video file (5 minutes) to show all the screens, navigation and how the app
        works. For the demo, you must use the emulator.
        3. A short report that provides:
        o A table listing all the functionalities of the Android app compared to the ones
        proposed in Assignment 1 and their status: fully implemented, partially
        implemented, not implemented.
        o A list of new and additional features that were not proposed in Assignment 1 (if
        any).
        o Screenshots of all the main screens with a title to understand their purposes. For
        some functionalities, you need to provide multiple screens to capture each
        status/mode, e.g. a search screen and its result screen, or an empty form and
        a completed form, and after submission.
        4. A task allocation form - This will be based on Assignment 1 but you could make
        changes in this version.
        Code similarity check
        This assignment will be submitted to the similarity detection system that is trained to find
        similarities in the programming code.
        Late Submission:
        There will be 10% penalty per day.
        Academic Integrity Rules
        Please note: Generative AI tools are not restricted for this assessment task BUT a combination
        of the following should be provided to acknowledge the use of generative AI in academic
        work:
         Written acknowledgment of the use of generative artificial intelligence and its extent;
         Descriptions of how the information was generated (including the prompts used); and
         Citing and referencing using closest source types in the style being used
        When marking assessments, if unauthorised use of generative AI is suspected
        or unacknowledged work is discovered, it will be managed as an allegation of academic
        misconduct in accordance with existing disciplinary processes.
        https://www.monash.edu/learnhq/build-digital-capabilities/create-online/acknowledgingthe-use-of-generative-artificial-intelligence
        An example from the above website:
        請加QQ:99515681  郵箱:99515681@qq.com   WX:codinghelp















         

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