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Course Outlines

C&ENVENG 1012 - Engineering, Modelling & Analysis IA

North Terrace Campus - Semester 2 - 2015

This course serves as an introduction to how engineers typically solve real world and complex problems. In many cases mathematical or analytical solutions are not available and numerical or computer methods must be used. This course will introduce this important area and provide training in its fundamental components. These include: introduction to computer theory and computing environments; development of programming skills in Fortran 90/95 and Excel; introduction to numerical methods in engineering, including: approximations and errors; solving large sets of linear algebraic equations; roots of equations; numerical differentiation and integration.

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  • General Course Information
    Course Details
    Course Code C&ENVENG 1012
    Course Engineering, Modelling & Analysis IA
    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
    Assumed Knowledge Year 12 Mathematics
    Assessment 3 hour exam - including theory & practical assignments - run in CAT suite. Also includes projects, assignments and quizzes throughout the semester
    Course Staff

    Course Coordinator: Dr Michael Leonard

    Course Timetable

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

  • Learning Outcomes
    Course Learning Outcomes
    Technical knowledge and application of knowledge skills
    1. To develop competence in the engineering fundamentals.
    2. To develop competence in using computers and information technology effectively.

    Thinking skills
    3. To develop competence in problem identification, formulation and solution.
    4. To develop competence in critical and independent thinking.
    5. To develop competence in creative and innovative thinking.
    6. To develop the ability to conduct investigations into engineering problems.

    Personal skills and attitudes
    7. To develop the ability to communicate effectively with others in small groups working on projects – written, oral and listening skills.
    8. To develop the ability to work effectively as a member of a team working on projects.
    9. To develop the ability to manage effectively the allocation of time in performing tasks by meeting the deadlines for submission of assignments and projects.
    10. To develop life long learning skills.
    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)
    Knowledge and understanding of the content and techniques of a chosen discipline at advanced levels that are internationally recognised. 1,2
    The ability to locate, analyse, evaluate and synthesise information from a wide variety of sources in a planned and timely manner. 3
    An ability to apply effective, creative and innovative solutions, both independently and cooperatively, to current and future problems. 3,4,5,6
    Skills of a high order in interpersonal understanding, teamwork and communication. 7,8,9
    A proficiency in the appropriate use of contemporary technologies. 2
    A commitment to continuous learning and the capacity to maintain intellectual curiosity throughout life. 1,10
  • Learning Resources
    Required Resources
    The course notes include an introductory text about Fortran programming and the step through tutorials can be downloaded from MyUni under Course Materials. Lecture slides will be available on MyUni.
    Recommended Resources
    There is no set textbook for the course. However, the following textbook was developed within the School of Civil, Environmental & Mining Engineering and is designed as a useful life-long resource for engineers. This textbook is a recommended text and you will make greater use of it in subsequent EMA subjects.

    Walker, D., Leonard, M., Metcalfe, A., Lambert, M. (2009) Engineering Modelling & Analysis, Taylor and Francis (available from Unibooks).

    Other texts on numerical methods:
    Press. W. et al. (1996) Numerical Recipes in Fortran 90. The Art of Scientific Computing, Cambridge Press
           
    Ang, A., Tang, W. (2007) Probability Concepts in Engineering: Emphasis on Applications to Civil and Environmental Engineering, Wiley and Sons

    Other texts on programming:
           
    Rajaraman V. (2003) Computer Programming in Fortran 90 and 95. Prentice Hall India
           
    Metcalfe, M., Reid, J., Cohen, M. (2004) Fortran 95/2003 explained, Oxford University Press
           
    McFedries P. (2004) Absolute Beginners Guide to VBA, QUE, ISBN 0789730766
           
    Nyhoff L. and Leestma S. Introduction to Fortran 90. Prentice Hall. ISBN 0130131466
    Online Learning
    Additional resources such as assignments and projects will be provided on MyUni. Students are expected to regularly check on MyUni for course announcements and utilise the Discussion Board for additional contact. Submission of Quizzes and Assignments will also be online.
  • Learning & Teaching Activities
    Learning & Teaching Modes
    This course uses a number of different teaching and learning approaches including:
    • Lectures 
    • Guided Tutorials
    • Problem Solving Projects
    • In class and online quizzes
    • Examinations
    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.

    There will be 3 hours of lectures and a 2 hour practical session per week. A short MyUni quiz will be conducted each week to assess your understanding of the lecture and assignment material. The first hour of the practical will focus on the weekly tutorial, the second hour will focus on one of the three projects that are staggered throughout the semester and are undertaken in pairs. A practice exam will be conducted during one of the practicals in the second term to help prepare you for the final exam. You will need to spend time outside of the practicals working on the tutorials and projects as they are critical to your learning.
    Learning Activities Summary
    The lecture schedule and the corresponding tutorial (given as a guide for which worksheet can be attempted at each session) is shown below.

    Week Date Lecture Topic Corresponding
    Tutorial Worksheet
    1 23/7 1 Programming History + Algorithms
    1 24/7 2 Simple Fortran + Compilers Introduction to Fortran
    2 30/7 3 Variables First Program
    2 31/7 4 Compiler Errors & Debugging Debugging
    3 6/8 5 If Statements If Statements
    3 7/8 6 Loops Loop Program
    4 13/8 7 Root Finding Methods Bisection Program
    4 14/8 8 Formatted input/output
    5 20/8 9 Reading/Writing to File File Input
    5 21/8 10 Fixed Arrays Simple Array Program
    6 27/8 11 Dynamic Arrays Another Array Program
    6 28/8 12 Integration and Interpolation
    7 3/9 13 Subroutines
    7 4/9 14 Functions Simple Function
    8 10/9 15 Multiple Modules More Functions
    8 11/9 16 Monte Carlo Integration Monte Carlo Integration
    SEMESTER BREAK
    9 1/10 - No lecture. Public Holiday
    9 2/10 17 Matrix Inversion Matrix Inversion
    10 8/10 18 Excel + Intro. to VBA Intro. to Excel/Matrix Inversion in Excel
    10 9/10 19 Visual Basic Introduction to VBA
    11 15/10 20 Ordinary Differential Equations
    11 16/10 21 Matlab Importing Data into Matlab
    12 22/10 22 Matlab
    12 23/10 23 Revision

    The lectures are a critical component of the course. The lecture recordings (powerpoint slides and audio) will be available on MyUni after the lectures for review and for students who are absent. If a lecture is missed it is essential to view the recording prior to the next scheduled contact time.

    During the two hour practical session one or more of the tutorial worksheets should be attempted and the second hour should focus on the project.

  • 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 Due Date Weighting Learning Objectives
    Assignment 4pm Friday in Relevant Weeks 30% 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
    Quizzes 10am Thursdays 10% 1, 3
    Exam During Exam Period 60% 1, 2, 3, 9, 10
    Assessment Related Requirements
    Students must obtain at least 40% in the examination to be eligible to pass the course. Please be aware that you may receive a RP (Results Pending) result, and be awarded an academic supplementary exam if you fail to meet this requirement. Subsequent failure to demonstrate a necessary level of knowledge and understanding of the course material in the supplementary exam will result in a zero fail grade.
    Assessment Detail

    Assignments:
    Tutorial worksheets are available for each session and selected tutorials are to be submitted for assessment. The bulk of the tutorials contain a step-through guide to show how to implement the course content, thus the marks for the tutorials are awarded for successful completion of the activity (rather than for programming style). The instructions detailed on MyUni should be carefully followed including any additional files. The tutorials for submission and the relevant due dates are:

    • First Program, due 4pm Friday August 3rd
    • If Program, due 4pm Friday August 10th
    • Bisection Program, due 4pm Friday August 17th
    • Another Array Program, due 4pm Friday August 31st
    • Monte Carlo, due 4pm October 5th
    • Matrix Inversion in Excel, due 4pm October 19th

    Quizzes:
    Short MyUni quizzes will be set each week. The quizzes will be based on the tutorial and lecture material from the previous week and it is essential that the lectures are attended (or the MyMedia recordings of the lectures viewed) prior to attempting the questions. The questions will be a mixture of multiple choice and short answer questions and will be similar to the short answer questions in the final exam. Students should attempt the questions without the use of the compiler. The quizzes will be due at 10 am on Thursdays.

    Projects:
    The three projects are undertaken in pairs. The projects implement the knowledge and techniques gained from the step-through tutorials and lectures. The submission will include a report in addition to the code and marks will be given for program structure and formatting, discussion and the solution to the problem. Detailed marking schemes will be provided with the design brief.

    • Project 1 (Fortran) due 4pm, Friday August 24th
    • Project 2 (Fortran) due 4pm, Friday September 14th
    • Project 3 (Excel) due 4pm, Friday October 26th

    Practice Exam:
    The mark for the practice exam is for attendance and a satisfactory attempt. A solution will be provided after the exam for self checking. The practice exam is an important process as it will mirror the conditions of the final exam. The practice exam will be held during the practical sessions in  week 10.

    Final Exam:
    A 3 hour examination will be held in the CAT Suites at the end of Semester 2. It will be a restricted open book exam. Textbooks, worked solutions and electronic materials on a memory stick will be permitted. Further information will be given at the end of the semester.

    Submission
    Submission of the files for the tutorials will be electronic. Both electronic and hardcopy submission of the projects is required. Feedback will include whether it worked, how well it was structured and whether it was easy to follow.

    Submission of electronic copies will be via MyUni. Submission of all hardcopies will be via the boxes outside the School of Civil, Environmental and Mining Office (N136). Late submissions will in most cases receive a zero mark. A late submission will only be allowed when a deferred deadline has been approved by the course coordinator prior to the due date because of medical or extenuating  circumstances. Any requests for extensions must be communicated by email.

    Electronic submissions of the code will be checked for plagiarism. Instances of plagiarism will result in a minimum penalty of a zero mark for the submission for all parties involved and may involve the  plagiarism register.

    The quizzes are also to be completed and submitted via MyUni. No extensions will be given.
    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 .

  • 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

    This section contains links to relevant assessment-related policies and guidelines - all university policies.

  • 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鈥檚 disciplinary procedures.

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