C&ENVENG 1012 - Engineering, Modelling & Analysis IA
North Terrace Campus - Semester 2 - 2014
General Course Information
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 4 hours per week Assumed Knowledge Year 12 Mathematics Course Description 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, Visual Basic in Excel (VBA) and Matlab; development of programs that are well-structured and can be easily maintained; introduction to probability and statistics and Monte Carlo simulation techniques; introduction to numerical methods in engineering, including: approximations and errors; solving large sets of linear algebraic equations; roots of equations; numerical differentiation and integration; solution of ordinary differential equations.
Course Coordinator: Dr Michael Leonard
The full timetable of all activities for this course can be accessed from Course Planner.
Course Learning OutcomesTechnical 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.
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
Required ResourcesThe 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 ResourcesThere 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 PressAng, 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 IndiaMetcalfe, M., Reid, J., Cohen, M. (2004) Fortran 95/2003 explained, Oxford University PressMcFedries P. (2004) Absolute Beginners Guide to VBA, QUE, ISBN 0789730766Nyhoff L. and Leestma S. Introduction to Fortran 90. Prentice Hall. ISBN 0130131466
Online LearningAdditional 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 ModesThis course uses a number of different teaching and learning approaches including:
- Guided Tutorials
- Problem Solving Projects
- In class and online quizzes
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 SummaryThe 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
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.
The University's policy on Assessment for Coursework Programs is based on the following four principles:
- Assessment must encourage and reinforce learning.
- Assessment must enable robust and fair judgements about student performance.
- Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
- Assessment must maintain academic standards.
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 RequirementsStudents 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.
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
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.
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
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.
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.
SubmissionSubmission 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.
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.
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.
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This section contains links to relevant assessment-related policies and guidelines - all university policies.
- Academic Credit Arrangement Policy
- Academic Honesty Policy
- Academic Progress by Coursework Students Policy
- Assessment for Coursework Programs
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- Modified Arrangements for Coursework Assessment
- Student Experience of Learning and Teaching Policy
- Student Grievance Resolution Process
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