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Unit outline_

MATH5310: Topics in Algebra

Semester 2, 2024 [Normal day] - Camperdown/Darlington, Sydney

Algebra is one of the broadest fields of mathematics, underlying most aspects of mathematics. It is sometimes considered the mathematics of symmetry or the language of mathematics. In its most general description, algebra includes number theory, algebraic geometry and the classical study of algebraic structures such as rings and groups as well as their representations. Advanced algebra intersects other fields of modern mathematics, for instance via algebraic topology, homological algebra and categorical representation theory; and modern physics, via Lie groups and Lie algebras. You will learn about fundamental concepts of a branch of advanced algebra and its role in modern mathematics and its applications. You will develop problem-solving skills using algebraic techniques applied to diverse situations. Learning an area of pure mathematics means building a mental framework of theoretical concepts, stocking that framework with plentiful examples with which to develop an intuition of what statements are likely to be true, testing the framework with specific calculations, and finally gaining the deep understanding required to create technically sophisticated proofs of general results. The selection of topics is guided by their relevance for current research. Having gained an abstract understanding of symmetry, you will discover the manifestation of algebraic structures everywhere

Unit details and rules

Academic unit Mathematics and Statistics Academic Operations
Credit points 6
Prerequisites
? 
None
Corequisites
? 
None
Prohibitions
? 
None
Assumed knowledge
? 

Familiarity with abstract algebra (e.g., MATH4062 or equivalent) and commutative algebra (e.g., MATH4312 or equivalent). Please consult with the coordinator for further information

Available to study abroad and exchange students

Yes

Teaching staff

Coordinator Kevin Coulembier, kevin.coulembier@sydney.edu.au
The census date for this unit availability is 2 September 2024
Type Description Weight Due Length
Supervised exam
? 
Final exam
Written exam
60% Formal exam period 2.5 hours
Outcomes assessed: LO1 LO2 LO3 LO5 LO6 LO7
Assignment Assignment 1
+/-5 questions, to be solved individually, complete answers in latex/pdf.
20% Week 06
Due date: 08 Sep 2024 at 23:59

Closing date: 22 Sep 2024
3 to 7 pages
Outcomes assessed: LO1 LO3 LO4 LO5 LO6 LO7
Assignment Assignment 2
+/-5 questions, to be solved individually, complete answers in latex/pdf.
20% Week 10
Due date: 13 Oct 2024 at 23:59

Closing date: 27 Oct 2024
3 to 7 pages
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7

Assessment summary

Two take home assignments will be worth 20 marks each, they are due in weeks 6 and 10.

The final written exam will be worth 60 marks.

Assessment criteria

High Distinction-85-100

At HD level, a student demonstrates a flair for the subject as well as a detailed and comprehensive understanding of the unit material. A ‘High Distinction’ reflects exceptional achievement and is awarded to a student who demonstrates the ability to apply their subject knowledge and understanding to produce original solutions for novel or highly complex problems and/or comprehensive critical discussions of theoretical concepts.

 

Distinction-75-84

At DI level, a student demonstrates an aptitude for the subject and a well-developed understanding of the unit material. A ‘Distinction’ reflects excellent achievement and is awarded to a student who demonstrates an ability to apply their subject knowledge and understanding of the subject to produce good solutions for challenging problems and/or a reasonably well-developed critical analysis of theoretical concepts.

 

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 general
understanding of the unit material and can solve routine problems and/or identify and
superficially discuss theoretical concepts.

 

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.

 

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:

Late submissions of assignments without special consideration will not be accepted.

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.

Support for students

The Support for Students Policy 2023 reflects the University’s commitment to supporting students in their academic journey and making the University safe for students. It is important that you read and understand this policy so that you are familiar with the range of support services available to you and understand how to engage with them.

The University uses email as its primary source of communication with students who need support under the Support for Students Policy 2023. Make sure you check your University email regularly and respond to any communications received from the University.

Learning resources and detailed information about weekly assessment and learning activities can be accessed via Canvas. It is essential that you visit your unit of study Canvas site to ensure you are up to date with all of your tasks.

If you are having difficulties completing your studies, or are feeling unsure about your progress, we are here to help. You can access the support services offered by the University at any time:

Support and Services (including health and wellbeing services, financial support and learning support)
Course planning and administration
Meet with an Academic Adviser

WK Topic Learning activity Learning outcomes
Week 01 Algebraic sets and the Hilbert Basis Theorem Lecture (3 hr) LO1 LO2 LO3
Week 02 Nullstellensatz and polynomial maps Lecture (3 hr) LO1 LO2 LO3 LO4 LO5
Week 03 Rational functions, local rings and discrete valuation ring Lecture (3 hr) LO1 LO2 LO3 LO4 LO5
Week 04 Multiple points and intersection numbers for plane curves Lecture (3 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Week 05 Projective varieties Lecture (3 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Week 06 Projective plane curves and Bézout’s Theorem Lecture (3 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Week 07 Noether’s Fundamental Theorem, Zariski topology Lecture (3 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Week 08 Morphisms of varieties and algebraic function fields Lecture (3 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Week 09 Rational maps and blowing up Lecture (3 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Week 10 Resolutions of singularities Lecture (3 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Week 11 Riemann’s Theorem Lecture (3 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Week 12 Riemann-Roch Theorem Lecture (3 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Week 13 Recap Lecture (3 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7
Weekly Weekly problem solving relating to the previous week's theory. Tutorial (12 hr) LO2 LO4 LO5 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. demonstrate a coherent and advanced understanding of key concepts in algebra
  • LO2. utilise fundamental algebraic principles and results to determine solutions to given problems
  • LO3. inspect and contrast the characteristics of fundamental algebraic structures and morphisms between them
  • LO4. formulate mathematical problems using algebraic terminology and justify the use of select frameworks in solving them
  • LO5. determine the algebraic principles inhered to complex problems, and devise strategies to solve the given problems
  • LO6. compose correct proofs of unfamiliar general results in algebra
  • LO7. communicate coherent mathematical arguments appropriately to student and expert audiences, both orally and through written work

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.

This is the first time this unit has been offered.

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.