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Unit outline_

PHYS2213: Physics 2EE

Semester 2, 2022 [Normal day] - Camperdown/Darlington, Sydney

This unit of study is designed to build on the knowledge gained in Junior Physics, to provide Electrical Engineering students with the knowledge of relevant topics of Physics at the Intermediate level, and with associated skills. Completion of the unit provides a solid foundation for further studies in Electrical Engineering and related engineering areas. The aims of this unit are linked to the generic attributes required of graduates of the University in knowledge skills, thinking skills, personal skills and attributes, and practical skills. By the end of this unit of study, students will be able to describe and apply concepts in optics, electromagnetism and basic solid state physics and technology at the Intermediate level. They will be able to use computational techniques to analyze optics problems. The modules in this unit of study are: Optics (13 lectures): The wave nature of light, optical phenomena and the interaction of light with matter: interference and diffraction effects; fundamental limits to resolution of optical instruments; polarisation; dispersion; coherence. These are presented within the context of several key optical technologies including lasers, CD/DVD players, optical fibre communication systems, gratings and Mach Zehnder modulation. Electromagnetic Properties of Matter (12 lectures): Electric and magnetic effects in materials; the combination of electric and magnetic fields to produce light and other electromagnetic waves in vacuum and matter. Solid State and Device Physics (13 lectures): Introduction to quantum mechanics, Fermi-Dirac statistics, electronic properties of solids (metal, semiconductors and insulators), doping and the semiconductor PN junction; introduction to nanotechnology; fabrication technologies, nano-imaging technologies, nanoelectronics. Computational Physics (10 sessions of 2 hours each): In a computing laboratory students use Matlab-based simulation software to conduct virtual experiments in optics, which illustrate and extend the relevant lectures. Students also gain experience in the use of computers to solve problems in physics.

Unit details and rules

Academic unit Physics Academic Operations
Credit points 6
Prerequisites
? 
(PHYS1001 or PHYS1901) and (PHYS1003 or PHYS1902)
Corequisites
? 
None
Prohibitions
? 
None
Assumed knowledge
? 

(MATH1X21 or MATH1931 or MATH1X01 or MATH1906 or MATH1011) and (MATH1X02) and (MATH1X23 or MATH1933 or MATH1X03 or MATH1907 or MATH1013) and (MATH1X04 or MATH1X05)

Available to study abroad and exchange students

No

Teaching staff

Coordinator Rongkun Zheng, rongkun.zheng@sydney.edu.au
Lecturer(s) David McKenzie, david.mckenzie@sydney.edu.au
Chris Betters, christopher.betters@sydney.edu.au
Pulin Gong, pulin.gong@sydney.edu.au
Rongkun Zheng, rongkun.zheng@sydney.edu.au
Type Description Weight Due Length
Final exam (Record+) Type B final exam Final examination
Written exam Type B
60% Formal exam period 2 hours
Outcomes assessed: LO1 LO2 LO6 LO7
Small test EMP quizzes
Quiz
1.5% Multiple weeks 10 minutes
Outcomes assessed: LO1 LO5 LO2
Small test SSD Quizzes
Quiz
1.5% Multiple weeks 10 minutes
Outcomes assessed: LO1 LO5 LO2
Assignment Optics
Written assessment
4% Week 05
Due date: 04 Sep 2022 at 23:59
See Canvas
Outcomes assessed: LO1 LO2 LO4 LO5 LO6 LO7
Assignment EMP
Written assessment
2.5% Week 09
Due date: 09 Oct 2022 at 23:59
See Canvas
Outcomes assessed: LO1 LO2 LO4 LO5 LO6 LO7
Small test Computational physics test
Practical test
19.4% Week 12 See Canvas
Outcomes assessed: LO1 LO7 LO6 LO2
Assignment SSD
Written assessment
2.5% Week 13
Due date: 06 Nov 2022 at 23:59
See Canvas
Outcomes assessed: LO1 LO2 LO4 LO5 LO6 LO7
Skills-based evaluation Computational physics lab
Practical
8.6% Weekly See Canvas
Outcomes assessed: LO1 LO7 LO6 LO3 LO2
Type B final exam = Type B final exam ?

Assessment summary

  • Final examination: The examination consists of three parts: electromagnetic properties of matter, optics, and solid state and device physics. Lists of physical constants and formulas needed are provided in the paper. Past papers are available for review via eLearning.

Final exam: If a second replacement exam is required, this exam may be delivered via an alternative assessment method, such as a viva voce (oral exam). The alternative assessment will meet the same learning outcomes as the original exam. The format of the alternative assessment will be determined by the unit coordinator.

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

At HD level, a student demonstrates a flair for the subject and comprehensive knowledge and understanding of the unit material. A ‘High Distinction’ reflects exceptional achievement and is awarded to a student who demonstrates the ability to apply subject knowledge to novel situations.

Distinction

75 - 84

At DI level, a student demonstrates an aptitude for the subject and a solid knowledge and understanding of the unit material. A ‘Distinction’ reflects excellent achievement and is awarded to a student who demonstrates an ability to apply the key ideas of the subject.

Credit

65 - 74

At CR level, a student demonstrates a good command and knowledge of the unit material. A ‘Credit’ reflects solid achievement and is awarded to a student who has a broad understanding of the unit material but has not fully developed the ability to apply the key ideas of the subject.

Pass

50 - 64

At PS level, a student demonstrates proficiency in the unit material. A ‘Pass’ reflects satisfactory achievement and is awarded to a student who has threshold knowledge of the subject.

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 Optics Lecture (3 hr) LO1 LO2 LO4 LO5 LO6 LO7
Week 02 Optics Lecture (3 hr) LO1 LO2 LO4 LO5 LO6 LO7
Optics Tutorial (1 hr) LO1 LO2 LO4 LO6 LO7
Computational Physics Computer laboratory (2 hr) LO1 LO2 LO4 LO6 LO7
Week 03 Optics Lecture (3 hr) LO1 LO2 LO4 LO5 LO6 LO7
Optics Tutorial (1 hr) LO1 LO2 LO4 LO6 LO7
Computational Physics Computer laboratory (2 hr) LO1 LO2 LO4 LO6 LO7
Week 04 Optics Lecture (3 hr) LO1 LO2 LO4 LO5 LO6 LO7
Optics Tutorial (1 hr) LO1 LO2 LO4 LO6 LO7
Computational Physics Computer laboratory (2 hr) LO1 LO2 LO4 LO6 LO7
Week 05 Electromagnetic properties of matter Lecture (3 hr) LO1 LO2 LO4 LO5 LO6 LO7
Optics Tutorial (1 hr) LO1 LO2 LO4 LO6 LO7
Computational Physics Computer laboratory (2 hr) LO1 LO2 LO4 LO6 LO7
Week 06 Electromagnetic properties of matter Lecture (3 hr) LO1 LO2 LO4 LO5 LO6 LO7
Electromagnetic properties of matter Tutorial (1 hr) LO1 LO2 LO4 LO6 LO7
Computational Physics Computer laboratory (2 hr) LO1 LO2 LO4 LO6 LO7
Week 07 Electromagnetic properties of matter Lecture (3 hr) LO1 LO2 LO4 LO5 LO6 LO7
Electromagnetic properties of matter Tutorial (1 hr) LO1 LO2 LO4 LO6 LO7
Computational Physics Computer laboratory (2 hr) LO1 LO2 LO4 LO6 LO7
Week 08 Electromagnetic properties of matter Lecture (3 hr) LO1 LO2 LO4 LO5 LO6 LO7
Electromagnetic properties of matter Tutorial (1 hr) LO1 LO2 LO4 LO6 LO7
Computational Physics Computer laboratory (2 hr) LO1 LO2 LO4 LO6 LO7
Week 09 Solid state devices Lecture (3 hr) LO1 LO2 LO4 LO5 LO6 LO7
Electromagnetic properties of matter Tutorial (1 hr) LO1 LO2 LO4 LO6 LO7
Computational Physics Computer laboratory (2 hr) LO1 LO2 LO4 LO6 LO7
Week 10 Solid state devices Lecture (3 hr) LO1 LO2 LO4 LO5 LO6 LO7
Solid state devices Tutorial (1 hr) LO1 LO2 LO4 LO6 LO7
Computational Physics Computer laboratory (2 hr) LO1 LO2 LO4 LO6 LO7
Week 11 Solid state devices Lecture (3 hr) LO1 LO2 LO4 LO5 LO6 LO7
Solid state devices Tutorial (1 hr) LO1 LO2 LO4 LO6 LO7
Computational Physics Computer laboratory (2 hr) LO1 LO2 LO4 LO6 LO7
Week 12 Solid state devices Lecture (3 hr) LO1 LO2 LO4 LO5 LO6 LO7
Solid state devices Tutorial (1 hr) LO1 LO2 LO4 LO6 LO7
Computational Physics Computer laboratory (2 hr) LO1 LO2 LO4 LO6 LO7

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. understand the key concepts in Electromagnetic Properties of Matter, Optics, and Solid State and Device Physics;
  • LO2. apply these concepts to develop models, and to solve qualitative and quantitative problems in scientific and engineering contexts, using appropriate mathematical and computing techniques as necessary
  • LO3. understand the nature of scientific measurement and skills in the measurement of physical quantities and the handling of data
  • LO4. find and analyse information and judge its reliability and significance
  • LO5. communicate scientific information appropriately, both orally and through written work
  • LO6. engage in team and group work for scientific investigations and for the process of learning
  • LO7. demonstrate a sense of responsibility, ethical behaviour and independence as a learner and as a scientist.

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.

No changes have been made since this unit was last offered

OPTICS

  • The Laser
  • Superposition of Light
  • Lens Equation
  • Propagation of Light - Interference and Diffraction
  • Polarisation
  • Optical Fibres
  • Optical Fibre Bragg Gratings
  • Mach Zehnder Modulator – Interferometers and Electro-optic Effect

ELECTROMAGNETIC PROPERTIES OF MATTER

  • Electrostatics, Gauss's Law, Electric Potential
  • Capacitance and Dielectrics
  • Magnetism and Magnetic Materials: Ferromagnetism, Paramagnetism, Diamagnetism
  • Electromagnetic Waves

SOLID STATE AND DEVICE PHYSICS

  • Atoms & Electrons
  • Crystal Properties & Growth of Semiconductors
  • Metals, Insulators & Semiconductors
  • Carrier Transport
  • Metal Semiconductor Contacts
  • p/n Junctions
  • Optoelectronic Devices
  • Transistors and Integrated Circuits
  • Frontiers in Device Technology

COMPUTATIONAL PHYSICS

The module is an introduction to the use of computers for investigating problems of physical interest. MatLab programming. The material covered in the computational physics course is coordinated with that in the Optics lecture module will be used.

 

Work, health and safety

We are governed by the Work Health and Safety Act 2011, Work Health and Safety Regulation 2011 and Codes of Practice. Penalties for non-compliance have increased. Everyone has a responsibility for health and safety at work. The University’s Work Health and Safety policy explains the responsibilities and expectations of workers and others, and the procedures for managing WHS risks associated with University activities.

General Laboratory Safety Rules

  • No eating or drinking is allowed in any laboratory under any circumstances
  • Closed-toe shoes are mandatory 
  • Follow safety instructions in your manual, posted in laboratories, and from staff.
  • In case of fire, follow instructions posted outside the laboratory door 
  • First aid kits, eye wash and fire extinguishers are located in or immediately outside each laboratory 
  • As a precautionary measure, it is recommended that you have a current tetanus immunisation. This can be obtained from University Health Service: unihealth.usyd.edu.au/

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.