ENG 1003 - Programming (Matlab and Excel)

North Terrace Campus - Semester 1 - 2019

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. The course continues with an Excel module, which consists of data analysis and algorithm development using industry-standard spreadsheet approaches.

  • General Course Information
    Course Details
    Course Code ENG 1003
    Course Programming (Matlab and Excel)
    Coordinating Unit School of Computer Science
    Term Semester 1
    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 1002, COMP SCI 1012, COMP SCI 1101, COMP SCI 1201,CHEM ENG 1011,C&ENVENG 1012,
    Restrictions Core course for students in BChem, BPetro, BCivil, BEnviro, BMining, BArch&Struct 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. The course continues with an Excel module, which consists of data analysis and algorithm development using industry-standard spreadsheet approaches.
    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 Analyse and model data from engineering processes

     
    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)
    Deep discipline knowledge
    • informed and infused by cutting edge research, scaffolded throughout their program of studies
    • acquired from personal interaction with research active educators, from year 1
    • accredited or validated against national or international standards (for relevant programs)
    1 - 6
    Critical thinking and problem solving
    • steeped in research methods and rigor
    • based on empirical evidence and the scientific approach to knowledge development
    • demonstrated through appropriate and relevant assessment
    1, 3, 5
  • 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.

    Weekly workshop
    Online videos and quizzes
    Interactive lectures
    Weekly practicals
    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
    Practical Exams
    Final Examn
  • 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
    Weekly Mastery Quiz 15 Individual Summative Weeks 1-12 2. 3. 5.
    Participation (Workshops & Interactive Lectures) 5 Group Formative Weeks 1-12 2. 3.
    Practicals 15 Individual Formative Weeks 1-12 1. 2. 3. 4. 5. 6.
    Final exam 45 Individual Summative Week 5, Week 12 Min 40% 3. 4. 6.
    Prac Exams 10 Individual Summative Weeks 1-12 1. 4. 6.
    Project 10 Individual Formative Weeks 6-7 1. 2. 4. 5.
    Total 100
    * The specific due date for each assessment task will be available on MyUni.
     
    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.
    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 44F.

    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.

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