最新糖心Vlog

COMP SCI 4414B - Software Engineering Research Project B

North Terrace Campus - Semester 2 - 2025

The final year research project is aimed at providing students with an opportunity to apply Software Engineering knowledge, understanding, and skills to an industrially sourced project. The projects are jointlysupervised by academic supervisors and the external clients, who propose projects. The students are assigned to different small teams that are expected to work collaboratively on the assigned project that will involve aspects of research and development. Students are expected to demonstrate the application of software engineering principles and practices by following defined processes, which are tracked using online repositories and communication tools. The project also provides a pathway to enrolment in a higher degree by research.

  • General Course Information
    Course Details
    Course Code COMP SCI 4414B
    Course Software Engineering Research Project B
    Coordinating Unit Computer Science
    Term Semester 2
    Level Undergraduate
    Location/s North Terrace Campus
    Units 6
    Contact Up to 3 hours per week
    Available for Study Abroad and Exchange N
    Prerequisites COMP SCI 4414A
    Restrictions BEng (Software) students only
    Assessment Assignments and/or project
    Course Staff

    Course Coordinator: Dr Triet Le

    Course Timetable

    The full timetable of all activities for this course can be accessed from .

  • Learning Outcomes
    Course Learning Outcomes
    This project consists of 2 semesters duration, with 3 units in semester 1 (part A) and 3 units in semester 2 (part B). Following on the project A, the project B will be built upon what would have been achieved during the project A. However, each part of the project has independent grading.

    At the conclusion of the course, the students are expected to be able to:

    1. Apply software engineering principles and research to industry projects.
    2. Gain exposure to state-of-the-art research and technologies in an area of software engineering.
    3. Learn to interpret and assess literature related to a current area of research.
    4. Learn to present work to an audience, both in written form and orally.
    5. Apply security and privacy principles to a specific industry project.
    6. Apply an ethical lens to the software engineering practice within a specific industry project and reflect on the broader ethical issues raised by the project. 
    7. Learn to work and plan in groups following ICT professionalism principles.
    最新糖心Vlog Graduate Attributes

    This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:

    最新糖心Vlog Graduate Attribute Course Learning Outcome(s)

    Attribute 1: Deep discipline knowledge and intellectual breadth

    Graduates have comprehensive knowledge and understanding of their subject area, the ability to engage with different traditions of thought, and the ability to apply their knowledge in practice including in multi-disciplinary or multi-professional contexts.

    1, 2

    Attribute 2: Creative and critical thinking, and problem solving

    Graduates are effective problems-solvers, able to apply critical, creative and evidence-based thinking to conceive innovative responses to future challenges.

    1, 2, 4

    Attribute 3: Teamwork and communication skills

    Graduates convey ideas and information effectively to a range of audiences for a variety of purposes and contribute in a positive and collaborative manner to achieving common goals.

    2, 5

    Attribute 4: Professionalism and leadership readiness

    Graduates engage in professional behaviour and have the potential to be entrepreneurial and take leadership roles in their chosen occupations or careers and communities.

    5

    Attribute 5: Intercultural and ethical competency

    Graduates are responsible and effective global citizens whose personal values and practices are consistent with their roles as responsible members of society.

    1, 5

    Attribute 7: Digital capabilities

    Graduates are well prepared for living, learning and working in a digital society.

    1, 2, 3, 4, 5

    Attribute 8: Self-awareness and emotional intelligence

    Graduates are self-aware and reflective; they are flexible and resilient and have the capacity to accept and give constructive feedback; they act with integrity and take responsibility for their actions.

    1, 2, 3, 4, 5
  • Learning Resources
    Online Learning
    All the learning material will be provided through Canvas (MyUni). please check that site for the material regularly.

    GitHub will be used for artefacts management and project management.

    Slack will be used for adhoc commuincation among all the stakeholders.
  • Learning & Teaching Activities
    Learning & Teaching Modes
    The teaching and learning activities are carried out in face to face sessions. The online participation is avaiable based on the need/request.

    The teaching and learning material is made avaiable via MyUni, GitHub and Slack.
    Workload

    The information below is provided as a guide to assist students in engaging appropriately with the course requirements.

    As a guide, each student is expected to work on the project between 10-12 hours per week as expected for a 3 Units course.
    Learning Activities Summary
    This is a final year research project, jointly supervised by software engineering and computer science academics with external industry involvement. The research topic will be selected from CS staff research interests, while the area of application will be negotiated with industry partners. Students will be expected to learn and demonstrate the application of SE principles to conduct research for industry-based clients outside the school. The project will provide a pathway to enrolment in a higher degree by research.

    The learning activities cover:

    - Research and development on the proposed project topic.

    - Implementing Scrum Process model (e.g.,define backlog items, run sprint review and retrospectives, live demo of working produt) in pracice with real industrial clients.

    - Oral presentation to the clients and teaching staff

    - Written + Oral presentation to a larger audience through Ingenuity event 



    Specific Course Requirements
    It is expected that the students would be leveraging the learning from the following courses of the BE (Software) degree.


    Engineering Software as Services I (ESS I)

    Engineering Software as Services II (ESS II)

    Software Engineering Workshop I - (Requirements Analysis, Modelling, Specifications)

    Software Engineering Workshop II - (Software Design)

    Research Methods in Software Engineering and Computer Science

    Software Engineering Research Project B
  • Assessment

    The 最新糖心Vlog's policy on Assessment for Coursework Programs is based on the following four principles:

    1. Assessment must encourage and reinforce learning.
    2. Assessment must enable robust and fair judgements about student performance.
    3. Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
    4. Assessment must maintain academic standards.

    Assessment Summary
    The assessment for SERP B (4414B) will be based on the following components:

    • Sprint Review Meetings (20) – Individual
       4 deliveries, fortnightly

    • Prototyping (25) – Group (G) and Individual (I)
    – Development process – G - (5)
    – Development process – I - (5)
    – Project quality – G - (7.5)
    – Project quality – I - (7.5)
    • Final Report – 20 (G)
    • Final Presentation - 10 (I)
    • Poster ingenuity – 10 (I)
    • Client Assessment – 5 (I)
    • Retrospective Reports – 10 (G)
    - 5 deliverables, fortnightly.

    Similar to last semester the assessment is broken down into Group and Individual components. While the project outcome is largely based on group work and group contribution, it is important to also have clear and significant individual contributions in the project. Hence, please be aware of the hurdle requirement in this regard:

    Hurdle Requirement: If your overall mark for the course is greater than 44 F but, your mark for the individual work process and project quality component is less than 40%, your overall mark for the course will be reduced to 44 F.

    Marking Schedmes:

    • Fail: 0 – 49
    • Pass: 50 – 64
    • Credit: 65 – 74
    • Distinction: 75 – 84
    • High Distinction: 85 – 100


    Assessment Related Requirements
    Asssessment Guidelines:

    • GitHub Flow: all feature development should happen in branches and only be merged into the master branch via pull requests once code review has been completed.
    • Two-week sprints: After the initial weeks of getting up to speed (e.g., up to proposal week), you should have a milestone every two weeks. This pattern continues to SERP B.
    • Commit messages, issues and pull requests: Make sure you write good commit messages (some ideas: http://chris.beams.io/posts/git-commit/) and that your issues and pull requests are understandable by somebody from outside your project (some ideas: https://wiredcraft.com/blog/how-we-write-our-github-issues/).
    • Linking of artifacts: Each commit should be linked to an issue (feature or bug) or pull request (if it's a merge).
    • Distribution of work: We'll be looking at your GitHub issues and who they are assigned to (and who made the corresponding commits).
    • Testing: Depending on the technologies you use different testing frameworks might be able to help with that. By the end of the semester, most of your code should be covered by test cases.
    • Deployment: Also depends on the technologies you use. There might be tools that can do this for you automatically, e.g., by taking the latest version from your GitHub's master branch and running it on some server.
    • Client management: Make sure you're on time and well-prepared for all client meetings. The expectation is that you're able to demonstrate your latest version in each meeting to gather feedback from the client. It is your responsibility to plan these meetings.
    Assessment Detail

    No information currently available.

    Submission

    No information currently available.

    Course Grading

    Grades for your performance in this course will be awarded in accordance with the following scheme:

    M10 (Coursework Mark Scheme)
    Grade Mark Description
    FNS   Fail No Submission
    F 1-49 Fail
    P 50-64 Pass
    C 65-74 Credit
    D 75-84 Distinction
    HD 85-100 High Distinction
    CN   Continuing
    NFE   No Formal Examination
    RP   Result Pending

    Further details of the grades/results can be obtained from Examinations.

    Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.

    Final results for this course will be made available through .

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    SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the 最新糖心Vlog to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.

  • Student Support
  • Policies & Guidelines
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