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Unit outline_

CIVL5999: Advanced Research and Analysis

Semester 1, 2020 [Normal day] - Camperdown/Darlington, Sydney

This unit requires students to use a number of advanced experimental tools and techniques which they learn through project-based learning as well as a structured theoretical lecture program. It will be very useful as co-requisite study for students engaged in an experimental honours thesis topic. It also covers issues of basic electronic circuitry and signal processing, various analysis techniques using both simple and advanced statistics, and advanced data processing methods such as PIV and Fourier filtering. It will also prepare students for further research in industry or academia.

Unit details and rules

Academic unit Civil Engineering
Credit points 6
Prerequisites
? 
None
Corequisites
? 
None
Prohibitions
? 
None
Assumed knowledge
? 

(CIVL2201 OR CIVL9201) AND (CIVL2611 OR CIVL9611) AND (CIVL2410 OR CIVL9410)

Available to study abroad and exchange students

No

Teaching staff

Coordinator Kapil Chauhan, kapil.chauhan@sydney.edu.au
Lecturer(s) Kapil Chauhan, kapil.chauhan@sydney.edu.au
Type Description Weight Due Length
Skills-based evaluation Laboratory
30% Multiple weeks 3 lab sessions
Outcomes assessed: LO1 LO9 LO7 LO6 LO5 LO2
Assignment Assignments
30% Multiple weeks 3 assignments
Outcomes assessed: LO4 LO5 LO6 LO7 LO8 LO10
Presentation Project: oral exam
20% Week 13 n/a
Outcomes assessed: LO1 LO3 LO2
Assignment Project: report
20% Week 13 n/a
Outcomes assessed: LO1 LO3

Assessment summary

  • Assignments: Three weekly assignments based on content covered in lectures. 
  • Laboratory: Three lab sessions focussed on a student’s stream (fluids, geomechanics or structures). Students are expected to write a brief lab report for each lab. 
  • Project: Individual project on a self-designed experiment over 8 weeks during the semester. Students will write a report and prepare an oral presentation.

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name

Mark range

Description

High distinction

85 - 100

 

Distinction

75 - 84

 

Credit

65 - 74

 

Pass

50 - 64

 

Fail

0 - 49

When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

  • Deduction of 5% of the maximum mark for each calendar day after the due date.
  • After ten calendar days late, a mark of zero will be awarded.

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

WK Topic Learning activity Learning outcomes
Week 01 Fundamentals of physical measurements Lecture (2 hr)  
Week 02 Basic measurement analysis Lecture (2 hr)  
Week 03 Elements of data acquisition Lecture (2 hr)  
Week 04 Signal conditioning Lecture (2 hr)  
Week 05 Introduction to sensors/instruments Lecture (2 hr)  
Week 06 Communicating with a sensor/instrument Lecture (2 hr)  
Week 07 Feedback mechanisms Lecture (2 hr)  
Week 08 Measurements in geotechnical engineering Lecture (2 hr)  
Week 09 Measurements in fluids engineering Lecture (2 hr)  
Week 10 Measurements in structural engineering Lecture (2 hr)  
Week 11 Data presentation Lecture (2 hr)  
Week 12 Student presentations Lecture (2 hr)  
Week 13 Student presentations Lecture (2 hr)  

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

  • LO1. communicate effectively to an engineering audience, through report writing and oral presentations
  • LO2. plan, conduct and interpret experiments
  • LO3. design a strategy for completion of the project
  • LO4. understand the fundamentals of electric circuits and electronics and of their importance to measurement
  • LO5. understand the importance of measurement in civil engineering and the criteria for appropriate and valid measurements
  • LO6. understand various analysis techniques and tools
  • LO7. understand signal conditioning, error analysis, statistical analysis
  • LO8. demonstrate familiarity with methods and application of measurement
  • LO9. demonstrate proficiency with common modern instruments used for data acquisition such as accelerometers, strain gauges, load cells, stand pipes, LVDTs, piezometers, velocimetry, proving rings, and others
  • LO10. collect qualitative data via surveys and/or interview and analyse them.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1 Depth of disciplinary expertise

Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.

GQ2 Critical thinking and problem solving

Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.

GQ3 Oral and written communication

Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.

GQ4 Information and digital literacy

Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.

GQ5 Inventiveness

Generating novel ideas and solutions.

GQ6 Cultural competence

Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.

GQ7 Interdisciplinary effectiveness

Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.

GQ8 Integrated professional, ethical, and personal identity

An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.

GQ9 Influence

Engaging others in a process, idea or vision.

Outcome map

Learning outcomes Graduate qualities
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9

This section outlines changes made to this unit following staff and student reviews.

New labs introduced

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.