MATHS 1015 - Advanced Mathematical Perspectives I
North Terrace Campus - Semester 1 - 2019
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General Course Information
Course Details
Course Code MATHS 1015 Course Advanced Mathematical Perspectives I Coordinating Unit Mathematical Sciences Term Semester 1 Level Undergraduate Location/s North Terrace Campus Units 3 Contact Up to 3 contact hours per week Available for Study Abroad and Exchange Y Restrictions Available to BMaSc (Adv) students only Assessment Ongoing assessment Course Staff
Course Coordinator: Professor Matthew Roughan
Email: matthew.roughan@adelaide.edu.au
Office: Ingkarni Wardli, room 6.17
Finnur Lárusson
Email: finnur.larusson@adelaide.edu.au
Office: Inkgarni Wardli, room 6.49
Administrative enquiries: School of Mathematical Sciences office, Level 6, Ingkarni WardliCourse Timetable
The full timetable of all activities for this course can be accessed from .
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Learning Outcomes
Course Learning Outcomes
Students who successfully complete the course should:
1. appreciate the way pure mathematics is built on rigorous arguments
2. appreciate the difference between discrete and continuum modelling approaches
3. appreciate the need for statistical analysis of data
4. be able to develop their own rigorous mathematical arguments
5. be able to develop simple mathematical models
6. be able to implement models using Matlab
7. be able to analyse data
8. be able to write project reports and give an oral presentation
University Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
University Graduate Attribute Course Learning Outcome(s) Deep discipline knowledge
- informed and infused by cutting edge research, scaffolded throughout their program of studies
- acquired from personal interaction with research active educators, from year 1
- accredited or validated against national or international standards (for relevant programs)
all Critical thinking and problem solving
- steeped in research methods and rigor
- based on empirical evidence and the scientific approach to knowledge development
- demonstrated through appropriate and relevant assessment
4,5,6,7,8 Teamwork and communication skills
- developed from, with, and via the SGDE
- honed through assessment and practice throughout the program of studies
- encouraged and valued in all aspects of learning
all Career and leadership readiness
- technology savvy
- professional and, where relevant, fully accredited
- forward thinking and well informed
- tested and validated by work based experiences
6,8 Self-awareness and emotional intelligence
- a capacity for self-reflection and a willingness to engage in self-appraisal
- open to objective and constructive feedback from supervisors and peers
- able to negotiate difficult social situations, defuse conflict and engage positively in purposeful debate
1,2,3,8 -
Learning Resources
Required Resources
None.Recommended Resources
Materials provided by lecturers.Online Learning
This course uses MyUni exclusively for providing electronic resources, such as lecture notes, assignment papers, sample solutions, discussion boards, etc. It is recommended that students make appropriate use of these resources. Link to MyUni login page: https://myuni.adelaide.edu.au/webapps/login/ -
Learning & Teaching Activities
Learning & Teaching Modes
This course is run largely in a workshop format. Students will work closely with academic members of staff in a small group discovery environment. Two written projects and a presentation constitute the assessment for the course.Workload
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.
Activity Quantity Workload hours Workshops 36 108 Projects 2 32 Presentation 1 16 Total 156 Learning Activities Summary
Outline
Each week will consist of a combination of formal presentations of material, practicals, tutorials and workshops, though the mix in each week may vary depending on topic.
Week 1: Introduction, outline, tools of the trade, and introduction to the modelling project.
Week 2: Symmetry in patterns
Week 3: Repetition and periodicity in patterns
Week 4: Simple deterministic, continuum models
Week 5: Simple discrete, stochastic models
Week 6: Putting these together
Week 7: Other models and analysis of data
Week 8: Model comparisons and project work
Week 9: What is pure maths? Reading and writing maths. Commencing work on the pure maths project.
Week 10: How to do proofs. Continuing work on the project.
Week 11: How to do proofs. Continuing work on the project.
Week 12: Oral Assessment: Poster sessions
Week 13: Oral Assessment (if needed)
Small Group Discovery Experience
This course aims to develop independent student learning in a small group discovery environment. -
Assessment
The University's policy on Assessment for Coursework Programs is based on the following four principles:
- Assessment must encourage and reinforce learning.
- Assessment must enable robust and fair judgements about student performance.
- Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
- Assessment must maintain academic standards.
Assessment Summary
Component Weighting Objective Assessed Project report 1 60% 2,3,4,5,6,7,8 Project report 2 25% 1,4,8 Presentation 15% 2,3,4,5,6,7,8 Assessment Detail
Milestones may be required as part of assessment of projects before the final due date. See MyUni for details.Assessment item Distributed Due Date Weighting Project 1 Week 2 Week 10 60% Project 2 Week 9 Week 13 25% Presentation Week 2 Week 11 15% Submission
1. The reports are to be submitted to the relevant lecturer with a signed cover sheet attached.
2. Late reports will not be accepted.
3. Reports will have a two week turn-around time for feedback to students.Course Grading
Grades for your performance in this course will be awarded in accordance with the following scheme:
M10 (Coursework Mark Scheme) Grade Mark Description FNS Fail No Submission F 1-49 Fail P 50-64 Pass C 65-74 Credit D 75-84 Distinction HD 85-100 High Distinction CN Continuing NFE No Formal Examination RP Result Pending Further details of the grades/results can be obtained from Examinations.
Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.
Final results for this course will be made available through .
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Student Feedback
The University places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.
SELTs are an important source of information to inform individual teaching practice, decisions about teaching duties, and course and program curriculum design. They enable the University to assess how effectively its learning environments and teaching practices facilitate student engagement and learning outcomes. Under the current SELT Policy (http://www.adelaide.edu.au/policies/101/) course SELTs are mandated and must be conducted at the conclusion of each term/semester/trimester for every course offering. Feedback on issues raised through course SELT surveys is made available to enrolled students through various resources (e.g. MyUni). In addition aggregated course SELT data is available.
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Student Support
- Academic Integrity for Students
- Academic Support with Maths
- Academic Support with writing and study skills
- Careers Services
- Library Services for Students
- LinkedIn Learning
- Student Life Counselling Support - Personal counselling for issues affecting study
- Students with a Disability - Alternative academic arrangements
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Policies & Guidelines
This section contains links to relevant assessment-related policies and guidelines - all university policies.
- Academic Credit Arrangements Policy
- Academic Integrity Policy
- Academic Progress by Coursework Students Policy
- Assessment for Coursework Programs Policy
- Copyright Compliance Policy
- Coursework Academic Programs Policy
- Intellectual Property Policy
- IT Acceptable Use and Security Policy
- Modified Arrangements for Coursework Assessment Policy
- Reasonable Adjustments to Learning, Teaching & Assessment for Students with a Disability Policy
- Student Experience of Learning and Teaching Policy
- Student Grievance Resolution Process
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Fraud Awareness
Students are reminded that in order to maintain the academic integrity of all programs and courses, the university has a zero-tolerance approach to students offering money or significant value goods or services to any staff member who is involved in their teaching or assessment. Students offering lecturers or tutors or professional staff anything more than a small token of appreciation is totally unacceptable, in any circumstances. Staff members are obliged to report all such incidents to their supervisor/manager, who will refer them for action under the university's student鈥檚 disciplinary procedures.
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