COMP SCI 3318 - Software Engineering in Industry

North Terrace Campus - Semester 2 - 2024

Have you ever wondered how all these software engineering concepts will ever be put into practice? Who actually uses scrum or (gasp!) waterfall and how? This course will involve lectures and research into topics concerning current software engineering methodologies and techniques. The course will include significant industry engagement through module lectures and industry case studies from local industry, focusing on how software engineering methodologies are implemented. Lectures will be accompanied by opportunities to engage with real development teams through which students will gain a better understanding of the software engineering products produced and the challenges involved in producing these products. Students will be guided to conduct preliminary research on selected topics relevant to software engineering industry practice. Students will be asked to produce two research reports which present their understanding, findings, and critical assessment of software engineering practices in industry.

  • General Course Information
    Course Details
    Course Code COMP SCI 3318
    Course Software Engineering in Industry
    Coordinating Unit Computer Science
    Term Semester 2
    Level Undergraduate
    Location/s North Terrace Campus
    Units 3
    Contact 4 contact hours a week
    Available for Study Abroad and Exchange N
    Prerequisites COMP SCI 2206
    Restrictions Bachelor of Engineering (Honours) (Software) students only.
    Course Staff

    Course Coordinator: A/Prof Claudia Szabo

    Course Timetable

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

  • Learning Outcomes
    Course Learning Outcomes
    This course has the following learning outcomes:

    1. Demonstrate understanding of software engineering concepts, principles and best practices applicable to software industry

    2. Communicate their software engineering designs and research findings to peers and industry.

    3. Apply knowledge gained in the course to guide the software requirements engineering, analysis, design, and testing processes.

    4. Analyse preliminary research to solve problems in software engineering.

    5. Design and implement software engineering prototypes that can solve problems as identified through the process of requirements engineering.
    University Graduate Attributes

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

    University 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.

    1,3,4,5

    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.

    1-5

    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

    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.

    2,5

    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 6: Australian Aboriginal and Torres Strait Islander cultural competency

    Graduates have an understanding of, and respect for, Australian Aboriginal and Torres Strait Islander values, culture and knowledge.

    2

    Attribute 7: Digital capabilities

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

    1-5

    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.

    2
  • Learning & Teaching Activities
    Learning & Teaching Modes
    This course will be delivered through a combination of industry-led lectures and workshops.

    Lecture Number Lecture Topic Tentative Industry Partner
    1 Software Processes 1  BAE Systems, Maptek
    2 Software Processes 2 Swordfish Computing, Nova Systems
    3 Configuration Management Maptek
    4 CICD Swordfish Computing
    5 Introduction to Software Architecture BAE Systems, Maptek
    6 Software Architecture IRL Nova Systems
    7 Model Based System Engineering DSTG
    8 Gateway Design BAE Systems
    9 Systems Design Swordfish Computing
    10 Teams and Leadership Maptek, Swordfish
    11 Lessons Learned: why do we do software engineering? BAE Systems, Maptek
    12 Lessons Learned: why do we do software engineering? Swordfish Computing, Nova Systems
    Workload

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

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

    Students are expected to spend 8-10 hours per week on this course.
    There will be 2-4 hours contact time for learning and teaching activities and students will be working in groups and individually 3-6 hours to carry out the required learning and teaching activities for acquiring the expected knowledge, understanding, and skills in this course.
    Learning Activities Summary
    The course is offered as a combination of industry guest lectures and industry led workshops, according to the schedule in Course Planner.
  • Assessment

    The University'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
    This course will be assessessed through a combination of individual and group submissions*.
    Assessment Task Weighting (%) Individual/ Group Formative/ Summative
    Learning outcomes
    3 Case study analyses 20 Individual Summative 1-5
    Workshops 15 Group Formative 1,2,3
    Code refactoring Assignment 35 Individual Summative 1-5
    Gateway architecture Assignment 20 Group Summative 1,3,4,5
    Lecture Participation 10 Individual Formative 1. 2. 3. 4, 5
    Total 100
    * The specific due date for each assessment task will be available on MyUni.
     

    Assessment Detail
    The assessment for this course comprises of four main components. Detailed specifications of each is avaiable in myUni, and a summary presented below.

    1. Case study analyses - this assessment group of three case studies has been created in collaboration with all the industry partners delivering this course. Each case study presents an annonymised version of a problem that an industry partner is facing or has faced. Students are required to present a solution to the problem, making a trade-off analysis between various factors.

    2. Workshop submissions - the workshops are delivered either by our industry partners or present industry focused problems (e.g. DevSecOps pipelines). Students will be working in groups to come up with solutions to various problems defined by our industry partners.

    3. Code refactoring assignment - in this assignment, students will be working individually to refactor a large-scale complex codebase.

    4. Gateway architecture assignment - in this assignment, students will work in teams to implement and deploy a gateway microservice architecture.

    Submission
    All submissions will happen on myUni, and relevant details about deadlines and submission artifacts will be available there.
    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 Access Adelaide.

  • Student Feedback

    The University places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.

    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 University 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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