Outline

Overview

This unit of study investigates the modern mathematical theory that was originally developed for the purpose of studying polynomial equations. The philosophy is that it should be possible to factorize any polynomial into a product of linear factors by working over a "large enough" field (such as the field of all complex numbers). Viewed like this, the problem of solving polynomial equations leads naturally to the problem of understanding extensions of fields. This in turn leads into the area of mathematics known as Galois theory. The basic theoretical tool needed for this program is the concept of a ring, which generalizes the concept of a field. The course begins with examples of rings, and associated concepts such as subrings, ring homomorphisms, ideals and quotient rings. These tools are then applied to study quotient rings of polynomial rings. The final part of the course deals with the basics of Galois theory, which gives a way of understanding field extensions.

Unit details and rules

Academic unit	Mathematics and Statistics Academic Operations
Credit points	6
Prerequisites ?	MATH2961 or MATH2922 or a mark of 65 or greater in (MATH2061 or MATH2022)
Corequisites ?	None
Prohibitions ?	MATH3062 or MATH4062
Assumed knowledge ?	None
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Kevin Coulembier, kevin.coulembier@sydney.edu.au
Lecturer(s)	Kevin Coulembier, kevin.coulembier@sydney.edu.au

Type	Description	Weight	Due	Length
Final exam (Take-home short release)	Final take-home exam Written exam - Week 17	60%	Formal exam period	2 hours
Outcomes assessed:
Assignment	Assignment 1 Typed mathematical assignment - long answer questions	20%	Week 07 Due date: 05 Apr 2022 at 23:00 Closing date: 12 Apr 2022	3-5 extended mathematical questions
Outcomes assessed:
Assignment	Assignment 2 Typed mathematical assignment	20%	Week 12 Due date: 17 May 2022 at 23:00 Closing date: 24 May 2022	3-5 extended mathematical questions
Outcomes assessed:
= Type D final exam ?

Assessment summary

Written assignments: These will consist of 3-5 extended mathematical questions. Students will be required to type their solutions. They will need to create a consice written argument.
Late penalties: There is no option to submit assignments late without special consideration.
Final exam: The exam will cover all material in the unit from both lectures and tutorials. The exam will be all extended answer questions. 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	Complete or close to complete mastery of the material.
Distinction	75 - 84	Excellence, but substantially less than complete mastery.
Credit	65 - 74	A creditable performance that goes beyond routine knowledge and understanding, but less than excellence.
Pass	50 - 64	At least routine knowledge and understanding over a spectrum of topics and important ideas and concepts in the course.
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.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

There is no option to submit assignments late without special consideration.

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.

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
Week 01	Introduction and overview, definitions of groups and rings, examples	Lecture and tutorial (4 hr)
Week 02	Subrings, polynomial rings, homomorphisms, ideals, and the First Isomorphism Theorem for groups and rings	Lecture and tutorial (4 hr)
Week 03	The correspondence theorem, integral domains, field of fractions of an integral domain	Lecture and tutorial (4 hr)
Week 04	Principal ideal domains, Euclidean domains, greatest common divisors, prime and irreducible elements	Lecture and tutorial (4 hr)
Week 05	The unique factorisation theorem, unique factorisation domains, case study: Gaussian integers	Lecture and tutorial (4 hr)
Week 06	Unique factorisation in polynomial rings, irreducibility in polynomial rings	Lecture and tutorial (4 hr)
Week 07	Irreducibility in polynomial rings continued, ring and field extensions	Lecture and tutorial (4 hr)
Week 08	Minimal polynomials, degree of a field extension, constructible numbers	Lecture and tutorial (4 hr)
Week 09	Solution to constructibility problems, splitting fields, separability	Lecture and tutorial (4 hr)
Week 10	Subgroups, cosets, Lagrange's Theorem, normal subgroups, quotient groups, the symmetric group	Lecture and tutorial (4 hr)
Week 11	Finite fields, Galois groups, statement of the Galois correspondence, the order of the Galois group	Lecture and tutorial (4 hr)
Week 12	Proof of the Galois correspondence, solving polynomial equations using radicals, insolubility of the general quintic	Lecture and tutorial (4 hr)
Week 13	Revision and tying off loose ends	Lecture and tutorial (4 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

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. Recall basics of abstract ring and field theory
LO2. Recall the concepts of integral domains, principal ideal domains, Euclidean domains, and unique factorisation domains, and explain the relationships between these concepts
LO3. Determine irreducibility in an integral domain both by applying appropriate tests and by applying techniques and methods
LO4. Calculate the greatest common divisor in various Euclidean domains via the Euclidean Algorithm
LO5. Analyse foundational examples of rings and fields including the integers, Gaussian integers, polynomial rings, the rational numbers, and finite fields
LO6. Compute the degree of an extension and analyse the minimal polynomial of a simple field extension
LO7. Analyse and solve structured problems using the solutions to the three ancient Greek geometric problems
LO8. Recall and apply the foundational concepts and definitions from Galois Theory
LO9. Determine Galois groups in various examples
LO10. Construct proofs, and manipulate and apply algebraic concepts with an emphasis on the clear explanation of such concepts to others

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.

No changes have been made since this unit was last offered.

Additional information

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
A laboratory coat and closed-toe shoes are mandatory
Follow safety instructions in your manual and posted in laboratories
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.

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

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Work, health and safety

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect

Current students

MATH3962: Rings, Fields and Galois Theory (Adv)

Semester 1, 2022 [Normal day] - Camperdown/Darlington, Sydney

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

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Work, health and safety

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect