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SUBJECT OUTLINE

48221 Engineering Computations

Course area    UTS: Engineering

Delivery    Spring 2021; standard mode; City

Subject classification    Engineering: Civil and Environmental Engineering

Credit points    6cp

Requisite(s)    33130 Mathematical Modelling 1

Result type    Grade and marks

Attendance: 2hpw, lecture, on campus; 2hpw, computer laboratory, on campus.Forms of attendance and mode of delivery in this subject have changed to enable social distancing and reduce the risks of spreading COVID-19 in our community.

Recommended studies: 48321 Engineering Mechanics; 48331 Mechanics of Solids

Subject coordinator

Dr Nic Surawski

Room: Building 11, Level 11, Room 110

Phone: 02 9514 9063

Email: [email protected]

Consultation Times: face-to-face and online consultation times are available for students. Details will be posted in Canvas.

Teaching staff

Teaching Team

Lead Tutors:

Nic Surawski, Ali Altaee ([email protected]), Xuzhen He (Lead tutor: [email protected]), Amir Razmjou ([email protected])

Supporting tutors:

John Phung ([email protected]), Marwa Mohsen ([email protected]), Sahar Bagheri ([email protected]), Hossein Haddad ([email protected]).

Email: [email protected]

Contacting Staff:

It is essential for students to contact teaching staff using the subject email address indicated above (i.e. [email protected]), otherwise there will be a delay in the response from the teaching team. Queries regarding subject content and administration will be handled by the subject coordinator, whereas questions regarding the delivery of tutorials will be handled by the lead tutor of each tutorial class. The teaching team will endeavor to respond to all subject communications within two business days.

Subject description

This subject provides engineering students with the opportunity to acquire knowledge of numerical methods, programming and engineering software and to apply this knowledge in engineering problem solving.

Excel spreadsheeting and Matlab programming is required to solve numerical problems in this subject with no prior knowledge of programming being assumed. There are opportunities to apply acquired skills through the assessment of problem solving in the civil and mechanical engineering disciplines. Examples are chosen from within a broader engineering context and serve to reinforce material covered in other subjects in civil and mechanical engineering.

Subject learning objectives (SLOs)

Upon successful completion of this subject students should be able to:

1. Apply computational and programming techniques to solve engineering problems

2. Design solutions for engineering projects using Excel spreadsheeting and Matlab programming

Course intended learning outcomes (CILOs)

This subject also contributes specifically to the development of the following Course Intended Learning Outcomes (CILOs):

● Design Oriented: FEIT graduates apply problem solving, design and decision-making methodologies to develop components, systems and processes to meet specified requirements. (C.1)

● Technically Proficient: FEIT graduates apply abstraction, mathematics and discipline fundamentals, software, tools and techniques to evaluate, implement and operate systems. (D.1)

● Collaborative and Communicative: FEIT graduates work as an effective member or leader of diverse teams, communicating effectively and operating within cross-disciplinary and cross-cultural contexts in the workplace. (E.1)

Teaching and learning strategies

The delivery of material in this subject will include:

1. Workshops

2. Computer Laboratories

Workshops are supported by workshop notes/slides, online materials as well as reference texts. The workshops focus on learning new techniques in programming and numerical analysis and applying them to engineering problems. In workshops, students will be able to test their understanding of new concepts through individual and group-based problem-solving activities.

The computer laboratories form a crucial part of this subject and provide students with opportunities to practice and apply what has been learnt in workshops as well as interaction and hands-on assistance from experienced tutors.

Content (topics)

There are three main topic areas in this subject including 1) numerical methods 2) programming and 3) performing computations using engineering software.

1. Numerical methods

● Matrix algebra

● Least squares method

● Solving nonlinear equations

● Numerical differentiation

● Numerical integration

● Optimisation

● Numerical solution of differential equations

2. Programming

This subject focuses on the development of fundamental programming skills. This covers concepts such as typical programming constructs such as variables, types, instructions, branching, looping, and subroutines, input/output and algorithm design.

3. Computations using engineering software

The programming concepts taught in content area 2) will solve problems from content area 1) using excel spreadsheeting and Matlab programming.

Program

Assessment

Assessment task 1: Individual Project

Intent: In this assessment task, students develop the ability for an engineer to solve an engineering problem by using spreadsheeting techniques.

Objective(s):

This assessment task addresses the following subject learning objectives (SLOs):

1 and 2

This assessment task contributes to the development of the following Course Intended Learning Outcomes (CILOs):

C.1 and D.1

Type: Project

Groupwork: Individual

Weight: 40%

Task: Students will create an Excel spreadsheet that will allow a user to calculate the deflection of a beam for differential material types, beam geometries and loading configurations. An instruction sheet will be available on Canvas, containing detailed information about the project and marking criteria.

Due: 11.59pm Friday 10 September 2021

Further information: Feedback will be provided to students within 2 weeks of submission.

Assessment task 2: Numerical Methods Quiz

Intent: In this assessment task, students will apply the knowledge they have acquired in this subject to solve engineering problems using numerical methods.

Objective(s):

This assessment task addresses the following subject learning objectives (SLOs):

1 and 2

This assessment task contributes to the development of the following Course Intended Learning Outcomes (CILOs):

C.1 and D.1

Type: Quiz/test

Groupwork: Individual

Weight: 30%

Task: The numerical methods quiz will assess content from week 5 up to and including week 10 of the semester. This take-home quiz will assess students’ understanding of the theory that underpins numerical methods and programming concepts including the solution of simple numerical problems using a Matlab programming.

Further details will published in Canvas.

Length: 5 pages.

Due: Friday 22nd October 2021 23:59 pm

Further information: Feedback will be provided to students within two weeks of submission.

Assessment task 3: Group Project

Intent: In this assessment task, students will apply Matlab programming to solve an engineering problem that requires the solution of differential equations.

Objective(s):

This assessment task addresses the following subject learning objectives (SLOs):

1 and 2

This assessment task contributes to the development of the following Course Intended Learning Outcomes (CILOs):

C.1, D.1 and E.1

Type: Project

Groupwork: Group, group and individually assessed

Weight: 30%

Task: The total weighting of Assessment task 3 is 30% consisting of 1) the group project itself of 20% (assessed group component) and 2) the peer review of 10% (individually assessed component). Students will create a Matlab program for solving an engineering problem that requires the solution of differential equations. An instruction sheet will be available on Canvas, containing detailed information about the project and marking criteria for the project as well as the peer review.

Length: Students submit Matlab .m files of their solution

Due: Group project and peer review are due on Friday 12th November 2021 23:59 pm

Further information: Feedback is available to students upon request within two weeks of submission.

Minimum requirements

In order to pass the subject, a student must achieve an overall mark of 50% or more.

Recommended texts

For the Excel component of the subject:

Liengme, B. and K. Hekman. (2020). Liengme’s guide to Excel 2016 for scientists and engineers: (Windows and Mac).

Available Online in the UTS library.

For the Matlab component of the subject:

Hahn, B. and D. T. Valentine. (2016). Essential MATLAB for Engineers and Scientists.

Available Online in the UTS library.

Attaway, S. (2017). Matlab: a practical introduction to programming and problem solving -4th edition.

Available Online in the UTS library.

Gdeisat, M. and F. Lilley. (2013). MATLAB by example: programming basics – 1st edition

Available Online in the UTS library.

Other resources

Canvas is used as the learning management system for this subject. Regular access to Canvas (i.e. at least twice per week) is essential for accessing resources, receiving subject announcements, submitting assessment tasks and posting to the subject discussion board.

The following (free) online resource for Excel 2016 is useful for skills development.

Graduate attribute development

For a full list of the faculty's graduate attributes refer to the FEIT Graduate Attributes webpage.

For the contribution of subjects taken in the Bachelor of Engineering (Honours) or Master of Professional Engineering to the Engineers Australia Stage 1 Competencies, see the faculty's Graduate Attributes and the Engineers Australia Stage 1 Competencies webpage.

Assessment: faculty procedures and advice

Marking criteria

Marking criteria for each assessment task is available on the Learning Management System: Canvas.

Extensions

When, due to extenuating circumstances, you are unable to submit or present an assessment task on time, please contact your subject coordinator before the assessment task is due to discuss an extension. Extensions may be granted up to a maximum of 5 days (120 hours). In all cases you should have extensions confirmed in writing.

Special consideration

If you believe your performance in an assessment item or exam has been adversely affected by circumstances beyond your control, such as a serious illness, loss or bereavement, hardship, trauma, or exceptional employment demands, you may be eligible to apply for Special Consideration.

Late penalty

For Graded subjects:

Work submitted late without an approved extension is subject to a late penalty of 10 per cent of the total available marks deducted per calendar day that the assessment is overdue (e.g. if an assignment is out of 40 marks, and is submitted (up to) 24 hours after the deadline without an extension, the student will have four marks deducted from their awarded mark). Work submitted after five calendar days is not accepted and a mark of zero is awarded.

For some assessment tasks a late penalty may not be appropriate – these are clearly indicated in the subject outline. Such assessments receive a mark of zero if not completed by/on the specified date. Examples include:

a. weekly online tests or laboratory work worth a small proportion of the subject mark, or

b. online quizzes where answers are released to students on completion, or

c. professional assessment tasks, where the intention is to create an authentic assessment that has an absolute submission date, or

d. take-home papers that are assessed during a defined time period, or

e. pass/fail assessment tasks.

For Pass/Fail subjects:

Work submitted late without an approved extension will only be assessed at the subject coordinator’s discretion. Students who do not submit assessment tasks by the due dates may be referred to the Responsible Academic Officer under Student Rule 3.8.2, and a fail result may be recorded for the subject.

Querying results

If you believe an error may have been made in the calculation of your result in an assessment task or the final result for the subject, it is possible to query the result with the Subject Coordinator within five (5) working days of the date of release of the result.

Academic liaison officer

Academic liaison officers (ALOs) are academic staff in each faculty who assist students experiencing difficulties in their studies due to: disability and/or an ongoing health condition; carer responsibilities (e.g. being a primary carer for small children or a family member with a disability); and pregnancy.

ALOs are responsible for approving adjustments to assessment arrangements for students in these categories. Students who require adjustments due to disability and/or an ongoing health condition are requested to discuss their situation with an accessibility consultant at the Accessibility Service before speaking to the relevant ALO.

Statement about assessment procedures and advice

This subject outline must be read in conjunction with the Coursework Assessments policy and procedures.

Statement on copyright

Teaching materials and resources provided to you at UTS are protected by copyright. You are not permitted to re use these for commercial purposes (including in kind benefit or gain) without permission of the copyright owner. Improper or illegal use of teaching materials may lead to prosecution for copyright infringement.

Statement on plagiarism

Plagiarism and academic integrity

At UTS, plagiarism is defined in Rule 16.2.1(4) as: 'taking and using someone else's ideas or manner of expressing them and passing them off as ... [their] own by failing to give appropriate acknowledgement of the source to seek to gain an advantage by unfair means'.

The definition infers that if a source is appropriately referenced, the student's work will meet the required academic standard. Plagiarism is a literary or an intellectual theft and is unacceptable both academically and professionally. It can take a number of forms including but not limited to:

● copying any section of text, no matter how brief, from a book, journal, article or other written source without duly acknowledging the source

● copying any map, diagram, table or figure without duly acknowledging the source

● paraphrasing or otherwise using the ideas of another author without duly acknowledging the source

● re-using sections of verbatim text without using quote marks to indicate the text was copied from the source (even if a reference is given).

Other breaches of academic integrity that constitute cheating include but are not limited to:

● submitting work that is not a student's own, copying from another student, recycling another student's work, recycling previously submitted work, and working with another student in the same cohort in a manner that exceeds the boundaries of legitimate cooperation

● purchasing an assignment from a website and submitting it as original work

● requesting or paying someone else to write original work, such as an assignment, essay or computer program, and submitting it as original work.

Students who condone plagiarism and other breaches of academic integrity by allowing their work to be copied are also subject to student misconduct Rules.

Where proven, plagiarism and other breaches of misconduct are penalised in accordance with UTS Student Rules Section 16 – Student misconduct and appeals.

Avoiding plagiarism is one of the main reasons why the Faculty of Engineering and IT is insistent on the thorough and appropriate referencing of all written work. Students may seek assistance regarding appropriate referencing through UTS: HELPS.

Work submitted electronically may be subject to similarity detection software. Student work must be submitted in a format able to be assessed by the software (e.g. doc, pdf (text files), rtf, html).

Further information about avoiding plagiarism at UTS is available.

Retention of student work

The University reserves the right to retain the original or one copy of any work executed and/or submitted by a student as part of the course including, but not limited to, drawings, models, designs, plans and specifications, essays, programs, reports and theses, for any of the purposes designated in Student Rule 3.9.2. Such retention is not to affect any copyright or other intellectual property right that may exist in the student's work. Copies of student work may be retained for a period of up to five years for course accreditation purposes. Students are advised to contact their subject coordinator if they do not consent to the University retaining a copy of their work.

Statement on UTS email account

Email from the University to a student will only be sent to the student's UTS email address. Email sent from a student to the University must be sent from the student's UTS email address. University staff will not respond to email from any other email accounts for currently enrolled students.