C&ENVENG 2070 - Engineering Modelling & Analysis II

North Terrace Campus - Semester 2 - 2018

This course extends Engineering Modelling and Analysis 1A and presents a range of practical modelling and analysis methods that are used to solve engineering problems. The course content includes: roots of equations; systems of linear equations; numerical integration and differentiation; numerical solution of differential equations; Fourier transform spectral methods; basic probability theory and statistics, common probability distributions; Monte Carlo simulation. The course will also provide further training in programming skills, including in Fortran-90 and Excel / Visual Basic as required. It is expected that students will have already undertaken a basic course in programming, such as EMA-1A, and basic mathematics, such as MATHS 1011 and MATHS 1012.

  • General Course Information
    Course Details
    Course Code C&ENVENG 2070
    Course Engineering Modelling & Analysis II
    Coordinating Unit School of Civil, Environmental & Mining Eng
    Term Semester 2
    Level Undergraduate
    Location/s North Terrace Campus
    Units 3
    Contact Up to 5 hours per week
    Available for Study Abroad and Exchange Y
    Prerequisites C&ENVENG 1012
    Incompatible C&ENVENG 2014
    Assumed Knowledge MATHS 1011, MATHS 1012
    Course Description This course extends Engineering Modelling and Analysis 1A and presents a range of practical modelling and analysis methods that are used to solve engineering problems. The course content includes: roots of equations; systems of linear equations; numerical integration and differentiation; numerical solution of differential equations; Fourier transform spectral methods; basic probability theory and statistics, common probability distributions; Monte Carlo simulation. The course will also provide further training in programming skills, including in Fortran-90 and Excel / Visual Basic as required. It is expected that students will have already undertaken a basic course in programming, such as EMA-1A, and basic mathematics, such as MATHS 1011 and MATHS 1012.
    Course Staff

    Course Coordinator: Professor Dmitri Kavetski

    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 To develop competence in the fundamentals of engineering modelling and computation;
    2 Demonstrated ability to use computers, programming concepts and languages;
    3 Ientify problems and formulate solutions;
    4 Employ effective communication to engage with others in small groups.

     
    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: 1.2   2.1   3.1   

    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)
    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
    Teamwork and communication skills
    • developed from, with, and via the SGDE
    • honed through assessment and practice throughout the program of studies
    • encouraged and valued in all aspects of learning
    4
  • Learning & Teaching Activities
    Learning & Teaching Modes

    No information currently available.

    Workload

    No information currently available.

    Learning Activities Summary

    No information currently available.

  • 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
    Self directed tutorials 10 Individual Summative Weeks 1-11 1. 2.
    Assignment 1 7.5 Group Summative Week 4 1. 2. 3. 4.
    Assignment 2 7.5 Group Summative Week 6 1. 2. 3. 4.
    Assignment 3 7.5 Group Summative Week 10 1. 2. 3. 4.
    Assignment 4 7.5 Group Summative Week 12 1. 2. 3. 4.
    Mid-semester test (2hrs) 20 Individual Summative Week 7 Min 40% 1. 2.
    Exam 40 Individual Summative Exam period Min 40% 1. 2.
    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 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 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

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