Students

MATH704 – Research Topics in Mathematics 1

2014 – S1 Day

General Information

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Unit convenor and teaching staff Unit convenor and teaching staff Unit Convenor
Rod Yager
rod.yager@mq.edu.au
Contact via rod.yager@mq.edu.au
Credit points Credit points
4
Prerequisites Prerequisites
Admission to MRes
Corequisites Corequisites
Co-badged status Co-badged status
Unit description Unit description
This unit is study of a current topic of Mathematical research. In addition to mastering the material delivered in lectures, the student will be required to undertake independent reading and write a short report on what they have learned. This will be written using LaTeX, with instruction in this typesetting language and BibTeX as part of the unit's curriculum.

Important Academic Dates

Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates

Learning Outcomes

On successful completion of this unit, you will be able to:

  • Knowledge of the principles and concepts of a broad range of areas in mathematical sciences with depth in at least one area.
  • Understanding of the breadth of the discipline, its role in other fields, and the way other fields contribute to the development of the mathematical sciences
  • Ability to construct logical, clearly presented and justified mathematical arguments incorporating deductive reasoning
  • Ability to formulate and model practical and abstract problems in mathematical and/or statistical terms using a variety of methods
  • Application of mathematical and/or statistical principles, concepts, techniques and technology to solve practical and abstract problems.
  • Appropriate interpretation of information communicated in mathematical and/or statistical form
  • Appropriate presentation of information, reasoning and conclusions in a variety of modes, to diverse audiences (expert and non-expert).
  • Ethical application of mathematical and statistical approaches to solving problems
  • Ability to work effectively, responsibly and safely in an individual or team context.

Assessment Tasks

Name Weighting Due
Assignments 50% spread through semester
Class participation 20% teaching period
Written report 30% Week 13

Assignments

Due: spread through semester
Weighting: 50%


On successful completion you will be able to:
  • Knowledge of the principles and concepts of a broad range of areas in mathematical sciences with depth in at least one area.
  • Understanding of the breadth of the discipline, its role in other fields, and the way other fields contribute to the development of the mathematical sciences
  • Ability to construct logical, clearly presented and justified mathematical arguments incorporating deductive reasoning
  • Ability to formulate and model practical and abstract problems in mathematical and/or statistical terms using a variety of methods
  • Application of mathematical and/or statistical principles, concepts, techniques and technology to solve practical and abstract problems.
  • Appropriate interpretation of information communicated in mathematical and/or statistical form
  • Appropriate presentation of information, reasoning and conclusions in a variety of modes, to diverse audiences (expert and non-expert).
  • Ethical application of mathematical and statistical approaches to solving problems

Class participation

Due: teaching period
Weighting: 20%

Contribution and participation during weekly class meetings
On successful completion you will be able to:
  • Knowledge of the principles and concepts of a broad range of areas in mathematical sciences with depth in at least one area.
  • Understanding of the breadth of the discipline, its role in other fields, and the way other fields contribute to the development of the mathematical sciences
  • Ability to construct logical, clearly presented and justified mathematical arguments incorporating deductive reasoning
  • Ability to formulate and model practical and abstract problems in mathematical and/or statistical terms using a variety of methods
  • Application of mathematical and/or statistical principles, concepts, techniques and technology to solve practical and abstract problems.
  • Appropriate interpretation of information communicated in mathematical and/or statistical form
  • Appropriate presentation of information, reasoning and conclusions in a variety of modes, to diverse audiences (expert and non-expert).
  • Ability to work effectively, responsibly and safely in an individual or team context.

Written report

Due: Week 13
Weighting: 30%


On successful completion you will be able to:
  • Knowledge of the principles and concepts of a broad range of areas in mathematical sciences with depth in at least one area.
  • Understanding of the breadth of the discipline, its role in other fields, and the way other fields contribute to the development of the mathematical sciences
  • Ability to construct logical, clearly presented and justified mathematical arguments incorporating deductive reasoning
  • Ability to formulate and model practical and abstract problems in mathematical and/or statistical terms using a variety of methods
  • Application of mathematical and/or statistical principles, concepts, techniques and technology to solve practical and abstract problems.
  • Appropriate interpretation of information communicated in mathematical and/or statistical form
  • Appropriate presentation of information, reasoning and conclusions in a variety of modes, to diverse audiences (expert and non-expert).
  • Ability to work effectively, responsibly and safely in an individual or team context.

Unit Schedule

Letures: Tuesdays 10:00-12:00  E7A 333

Policies and Procedures

Macquarie University policies and procedures are accessible from Policy Central. Students should be aware of the following policies in particular with regard to Learning and Teaching:

Academic Honesty Policy http://mq.edu.au/policy/docs/academic_honesty/policy.html

Assessment Policy  http://mq.edu.au/policy/docs/assessment/policy.html

Grading Policy http://mq.edu.au/policy/docs/grading/policy.html

Grade Appeal Policy http://mq.edu.au/policy/docs/gradeappeal/policy.html

Grievance Management Policy http://mq.edu.au/policy/docs/grievance_management/policy.html

Disruption to Studies Policy http://www.mq.edu.au/policy/docs/disruption_studies/policy.html The Disruption to Studies Policy is effective from March 3 2014 and replaces the Special Consideration Policy.

In addition, a number of other policies can be found in the Learning and Teaching Category of Policy Central.

Student Code of Conduct

Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/support/student_conduct/

Student Support

Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/

Learning Skills

Learning Skills (mq.edu.au/learningskills) provides academic writing resources and study strategies to improve your marks and take control of your study.

Student Services and Support

Students with a disability are encouraged to contact the Disability Service who can provide appropriate help with any issues that arise during their studies.

Student Enquiries

For all student enquiries, visit Student Connect at ask.mq.edu.au

IT Help

For help with University computer systems and technology, visit http://informatics.mq.edu.au/help/. 

When using the University's IT, you must adhere to the Acceptable Use Policy. The policy applies to all who connect to the MQ network including students.

Extra requirements

Satisfactory performance on supervised assessment tasks, such as tests and the final exam, is necessary to pass this unit. If there is a significant difference between a student's marks on supervised assessment tasks and on unsupervised assessment tasks, the scaling of these tasks may be adjusted when determining the final grade, to reflect more appropriately that student's performance on supervised tasks.

Changes since First Published

Date Description
24/02/2014 Added lecture times