ENG 1002 - Programming (Matlab and C)

North Terrace Campus - Semester 2 - 2022

All modern engineering projects use programming for data analysis and problem solving. This course introduces the fundamental concepts of procedural programming using the MATLAB programming environment. Programming topics include: MATLAB syntax and semantics; data types, control structures, and functions; working with files and data; and the mechanics of running, testing, and debugging code. Problem-solving topics include: the role of algorithms in the problem-solving process; implementation strategies for algorithms; and the concept and properties of algorithms. This course continues with a C module, which introduces low-level programming concepts including memory and pointers, used for microprocessor programming in later years.

  • General Course Information
    Course Details
    Course Code ENG 1002
    Course Programming (Matlab and C)
    Coordinating Unit Technology Education Centre
    Term Semester 2
    Level Undergraduate
    Location/s North Terrace Campus
    Units 3
    Contact Up to 6 hours per week
    Available for Study Abroad and Exchange Y
    Incompatible ENG 1003, COMP SCI 1012, COMP SCI 1015, COMP SCI 1101, COMP SCI 1201, CHEM ENG 1011, C&ENVENG 1012
    Restrictions Core course for students in BMech, BEE, BCS, BSoftware, BMaCompSc, BMaSc, and BMaSc(Adv) and double degrees with these primary Programs. Course is available as an elective to students in other programs.
    Course Description All modern engineering projects use programming for data analysis and problem solving. This course introduces the fundamental concepts of procedural programming using the MATLAB programming environment. Programming topics include: MATLAB syntax and semantics; data types, control structures, and functions; working with files and data; and the mechanics of running, testing, and debugging code. Problem-solving topics include: the role of algorithms in the problem-solving process; implementation strategies for algorithms; and the concept and properties of algorithms. This course continues with a C module, which introduces low-level programming concepts including memory and pointers, used for microprocessor programming in later years.
    Course Staff

    Course Coordinator: Dr Cheryl Pope

    Course Timetable

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

  • Learning Outcomes
    Course Learning Outcomes
    On successful completion of this course students will be able to:

     
    1 Interpet and decompose problems in computational domains
    2 Compose solutions using an incremental software process
    3 Justify and demonstrate understanding of the factors motivating the software development process
    4 Verify software by inspection and generate feedback from testing
    5 Apply software development processes to practical problems
    6 Evaluate program execution in terms of the underlying memory model

     
    The above course learning outcomes are aligned with the Engineers Australia Stage 1 Competency Standard for the Professional Engineer.
    The course is designed to develop the following Elements of Competency: 1.1   1.2   1.3   1.5   2.1   2.2   2.3   3.3   3.4   3.5   

    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 - 6

    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, 3, 5
  • Learning Resources
    Required Resources
    MATLAB: A Practical Introduction to Programming and Problem Solving
    Author: Attaway, Stormy
    Publication Date: 2018-08-17
    Edition: 5
    ISBN: 9780128154793
    Publisher: Elsevier Science

    Free Digital download available to students through Barr Smith Library
    Hard copies available in book shop
    Online Learning
    All course materials can be accessed through MyUni
  • Learning & Teaching Activities
    Learning & Teaching Modes

    No information currently available.

    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.
    This course has an assumed workload of 10-12 hours per week. 6 hours are supported with face to face activities and an additional 4-6 hours of practice, review and preparation is expected.
    Learning Activities Summary
    Learning activities are in two groups:

    1) Formative activities: these activities are designed to help you learn. The focus is on practice and personal feedback to help you deepen your understanding.

    Online videos and quizzes
    Interactive lectures
    Weekly workshop
    Discussion board

    2) Summative activities: these activities are designed primarily to assess your learning. The focus is on assessment. These activities will have general group feedback but not individual detailed feedback.

    Weekly mastery quizzes
    Weekly practicals
    Practical Exams
    Final Exam
  • 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
    Assessment Task Weighting (%) Individual/ Group Formative/ Summative
    Due (week)*
    Hurdle criteria Learning outcomes CBOK mapping
    Weekly Mastery Quiz 12 Individual Summative Weeks 1-12 2. 3. 5. 1,7,8,9,11
    Participation (Workshops & Interactive Lectures) up to 6** Group Formative Weeks 1-12 2. 3. 1,2,7,8,9,11
    Practicals 12 Individual Summative Weeks 1-12 1. 2. 3. 4. 5. 6. 1,2,7,8,9,11
    Final exam 40 Individual Summative Exam Period Min 40% 3. 4. 6. 1,2,3,7,8,9
    Prac Exams 10 Individual Summative Week 5, Week 12 1. 4. 6. 1,2,8,9
    Project 20 Individual Summative Weeks 6-7 1. 2. 4. 5. 1,2,4,7,8,9,11
    Total 100
    * The specific due date for each assessment task will be available on MyUni.

    ** Final mark is max of:
    .95 * assessment other than participation + .06 * participation
    OR
    1.0 * assessment other than participation.
    Participation can only improve your mark, it can not reduce your mark.
     
    This assessment breakdown complies with the University's Assessment for Coursework Programs Policy.
     
    This course has a hurdle requirement. Meeting the specified hurdle criteria is a requirement for passing the course.



    CBOK Legend
    1. Abstraction
    2. Design
    3. Ethics
    4. Interpersonal Communication
    5. Societal Issues
    6. History & Status of the Discipline
    7. Hardware & Software
    8. Data & Information
    9. Programming
    10. Human Computer Interfaces
    11. Systems Development
    Details of the Australian Computer Society's Core Bode of Knowledge (CBOK) can be found in The-ACS-Core-Body-of-Knowledge-for-ICT-Professionals-CBOK
    Assessment Related Requirements
    The final exam is a hurdle requirement. You must achieve a grade of at least 40% on your final exam assessment or your mark will be capped at 49F.

    You must achieve an overall final mark of 50% to pass.
    Assessment Detail

    No information currently available.

    Submission
    All work is submitted and marked through MyUni. Feeback is provided one on one during practical sessions. Group feedback is provided in discussions and during interactive lecture times.
    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
  • Fraud Awareness

    Students are reminded that in order to maintain the academic integrity of all programs and courses, the university has a zero-tolerance approach to students offering money or significant value goods or services to any staff member who is involved in their teaching or assessment. Students offering lecturers or tutors or professional staff anything more than a small token of appreciation is totally unacceptable, in any circumstances. Staff members are obliged to report all such incidents to their supervisor/manager, who will refer them for action under the university's student’s disciplinary procedures.

The University of Adelaide is committed to regular reviews of the courses and programs it offers to students. The University of Adelaide therefore reserves the right to discontinue or vary programs and courses without notice. Please read the important information contained in the disclaimer.