C&ENVENG 1012 - Engineering, Modelling & Analysis IA

North Terrace Campus - Semester 2 - 2014

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.

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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 4 hours per week
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 Course Planner.

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 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	Importing Data into 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 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 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
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’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.

Authorised by:	Deputy Vice-Chancellor and Vice-President (Academic)
Maintained by:	Course Outlines Administrator