CHNG5008: Semester 2, 2023

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Units CHNG5008 Semester 2 2023 [Normal day]

Unit of study_

CHNG5008: Nanotechnology in Chemical Engineering

Semester 2, 2023 [Normal day] - Camperdown/Darlington, Sydney

Overview

This course will give students insights into advanced concepts in Chemical and Biomolecular Engineering, which are essential for the design of efficient processes and green products for the sustainable development and minimise or preferably eliminate waste for a clean world. This unit of study will examine cutting edge examples of nano-technology, renewable energy, bio-technology, and other advanced technologies across a broad range of applications relevant to chemical and biomolecular engineering. At the completion of this unit of study students should have developed an appreciation of the underlying concepts and be able to demonstrate they can apply these skills to new and novel situations. Students are expected to develop an integrated suite of problem-solving skills needed to successfully handle novel (and previously unseen) engineering situations, coupled with an ability to independently research new areas and be critical of what is found, and an ability to cope with experimental data, change and uncertainty through critical thinking.

Unit details and rules

Unit code	CHNG5008
Academic unit	Chemical and Biomolecular Engineering
Credit points	6
Prohibitions ?	None
Prerequisites ?	None
Corequisites ?	None
Assumed knowledge ?	12cp CHEM2xxx
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Fengwang Li, fengwang.li@sydney.edu.au
Lecturer(s)	Sarina Sarina, sarina.sarina@sydney.edu.au
Lecturer(s)	Fengwang Li, fengwang.li@sydney.edu.au
Tutor(s)	Shih-Hao Chiu, shih-hao.chiu@sydney.edu.au

Type	Description	Weight	Due	Length
Presentation	Nanomaterial characterisation techniques Oral presentation as a group in weeks 5, 7, 8, 9, and 10	20%	Multiple weeks	15 mins
Outcomes assessed:
Attendance	Lab demonstration attendance and performance Attendance and performance in the lab demonstration session during tutorial	10%	Multiple weeks	2 hours
Outcomes assessed:
Assignment	Literature review report Literature review on an allocated research topic	30%	Week 08 Due date: 22 Sep 2023 at 23:59	Max 2000 words
Outcomes assessed:
Assignment	Paper submission Submit a research-article type of paper based on lab demonstration project	40%	Week 13 Due date: 03 Nov 2023 at 23:59	Max 3000 words
Outcomes assessed:

Assessment summary

Students will do the report and lab practice. 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 sydney.edu.au/students/guide-to-grades.

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.

You may only use artificial intelligence and writing assistance tools in assessment tasks if you are permitted to by your unit coordinator, and if you do use them, you must also acknowledge this in your work, either in a footnote or an acknowledgement section.

Studiosity is permitted for postgraduate units unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission.

Learning support

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.

Weekly schedule

WK	Topic	Learning activity
Multiple weeks	Nanomaterial characterisation	Science laboratory (10 hr)
Week 01	Course introduction	Lecture and tutorial (4 hr)
Week 02	Materials and size effects	Lecture and tutorial (4 hr)
Week 03	Optical properties of nanomaterials	Lecture and tutorial (4 hr)
Week 04	Synthesis of nanomaterials	Lecture and tutorial (4 hr)
Week 05	Characterization methods	Lecture and tutorial (4 hr)
Week 06	Nanomaterials in chemical industry	Lecture and tutorial (4 hr)
Week 07	Nanotechnologies in energy	Lecture and tutorial (4 hr)
Week 08	Nanotechnologies in environment	Lecture and tutorial (4 hr)
Week 10	Nanomaterials in industry electrification, part 1	Lecture and tutorial (4 hr)
Week 11	Nanomaterials in industry electrification, part 2	Lecture and tutorial (4 hr)
Week 12	Nano-fabrication and its applications	Lecture and tutorial (4 hr)
Week 13	Writing clinics & Q&A of everything in nanotechnologies	Lecture and tutorial (4 hr)

Attendance and class requirements

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

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.

Outcomes
Graduate qualities

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

LO1. demonstrate interpersonal, group and teamwork skills
LO2. independently identify and justify a nanotechnology issue for investigation in the research literature
LO3. develop an experimental design for particular nano-material process or product
LO4. identify the properties, applications and methods of synthesis for a range nano-structured materials in chemical engineering
LO5. discriminate between different approaches used in determining the properties of nano-structured materials.

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
Learning outcomes

Responding to student feedback

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

change the weight of assessments and requirement of submitted works.

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.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

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