BIOSCI 702 : Systems and Models in the Natural Sciences
Science
2020 Semester Two (1205) (15 POINTS)
Course Prescription
Course Overview
- modelling in ecology and systems biology (Nobuto Takeuchi)
- agent-based modelling in complex systems (Dr Matthew Egbert)
- molecular dynamics of biological molecules (AP Jane Allison)
Module 3 will provide an understanding of how the chemical and structural properties of molecules and their dynamics are represented mathematically and computationally. During this module, you will have the opportunity to modify and even write some simple code for simulating molecular dynamics, as well as use the sophisticated programs used by researchers to simulate the peptides that cause Alzheimer’s disease.
Prerequisite
- The primary prerequisite is that you are interested in learning material that falls at the interface between biology and modelling.
- For students with a background in biology: you should be willing to do high school level algebra (Module 1) and to learn to modify computer programs (Module 2 and 3). You do not need to know how to write a computer program from scratch.
- For students with a background in computer science, physics, applied mathematics: you should have a strong interest in biology.
Capabilities Developed in this Course
| Capability 1: | Disciplinary Knowledge and Practice |
| Capability 2: | Critical Thinking |
| Capability 3: | Solution Seeking |
| Capability 4: | Communication and Engagement |
| Capability 5: | Independence and Integrity |
Learning Outcomes
- Describe and explain the different types of models and how they help us to investigate and understand the natural world (Capability 1, 2 and 4)
- Be able to formulate scientific concepts into simple conceptual, mathematical or algebraic models and use these to test hypotheses (Capability 1, 2 and 3)
- Be able to modify simple computer programs to test hypotheses or adapt them to new situations (Capability 1, 2 and 3)
- Be able to work independently and with others to identify and answer scientific questions (Capability 1, 2, 3, 4 and 5)
- Be able to work independently and with others to identify and solve problems (Capability 1, 2, 3, 4 and 5)
- Communicate results of independent and group investigations to a broad scientific audience (Capability 1, 2, 4 and 5)
- Analyse and discuss literature describing the application of systems concepts and modelling across a range of natural sciences (Capability 1, 2 and 4)
Assessments
| Assessment Type | Percentage | Classification |
|---|---|---|
| Engagement with weekly discusion sessions | 10% | Individual Coursework |
| Use of computer software to evaluate mathematical models | 30% | Individual Coursework |
| Modification of simple computer program to investigate behaviour of microscopic systems | 30% | Individual Coursework |
| Modification of simple computer program to investigate behaviour of macroscopic systems | 30% | Individual Coursework |
| 4 types | 100% |
| Assessment Type | Learning Outcome Addressed | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | ||||
| Engagement with weekly discusion sessions | ||||||||||
| Use of computer software to evaluate mathematical models | ||||||||||
| Modification of simple computer program to investigate behaviour of microscopic systems | ||||||||||
| Modification of simple computer program to investigate behaviour of macroscopic systems | ||||||||||
Workload Expectations
You can expect one hour of lecture and three hours of lab, three hours of reading, three hours of work on assignments per week. (This course is a standard 15 point course and students are expected to spend 10 hours per week involved in each 15 point course that they are enrolled in.)
Digital Resources
Course materials are made available in a learning and collaboration tool called Canvas which also includes reading lists and lecture recordings (where available).
Please remember that the recording of any class on a personal device requires the permission of the instructor.
The online version of this course will be made available to approved students unable to travel to Auckland.
Copyright
The content and delivery of content in this course are protected by copyright. Material belonging to others may have been used in this course and copied by and solely for the educational purposes of the University under license.
You may copy the course content for the purposes of private study or research, but you may not upload onto any third party site, make a further copy or sell, alter or further reproduce or distribute any part of the course content to another person.
Academic Integrity
The University of Auckland will not tolerate cheating, or assisting others to cheat, and views cheating in coursework as a serious academic offence. The work that a student submits for grading must be the student's own work, reflecting their learning. Where work from other sources is used, it must be properly acknowledged and referenced. This requirement also applies to sources on the internet. A student's assessed work may be reviewed against online source material using computerised detection mechanisms.
Inclusive Learning
All students are asked to discuss any impairment related requirements privately, face to face and/or in written form with the course coordinator, lecturer or tutor.
Student Disability Services also provides support for students with a wide range of impairments, both visible and invisible, to succeed and excel at the University. For more information and contact details, please visit the Student Disability Services’ website at http://disability.auckland.ac.nz
Special Circumstances
If your ability to complete assessed coursework is affected by illness or other personal circumstances outside of your control, contact a member of teaching staff as soon as possible before the assessment is due.
If your personal circumstances significantly affect your performance, or preparation, for an exam or eligible written test, refer to the University’s aegrotat or compassionate consideration page: https://www.auckland.ac.nz/en/students/academic-information/exams-and-final-results/during-exams/aegrotat-and-compassionate-consideration.html.
This should be done as soon as possible and no later than seven days after the affected test or exam date.
Student Feedback
During the course Class Representatives in each class can take feedback to the staff responsible for the course and staff-student consultative committees.
At the end of the course students will be invited to give feedback on the course and teaching through a tool called SET or Qualtrics. The lecturers and course co-ordinators will consider all feedback.
Your feedback helps to improve the course and its delivery for all students.
Student Charter and Responsibilities
The Student Charter assumes and acknowledges that students are active participants in the learning process and that they have responsibilities to the institution and the international community of scholars. The University expects that students will act at all times in a way that demonstrates respect for the rights of other students and staff so that the learning environment is both safe and productive. For further information visit Student Charter (https://www.auckland.ac.nz/en/students/forms-policies-and-guidelines/student-policies-and-guidelines/student-charter.html).
Disclaimer
Elements of this outline may be subject to change. The latest information about the course will be available for enrolled students in Canvas.
In this course you may be asked to submit your coursework assessments digitally. The University reserves the right to conduct scheduled tests and examinations for this course online or through the use of computers or other electronic devices. Where tests or examinations are conducted online remote invigilation arrangements may be used. The final decision on the completion mode for a test or examination, and remote invigilation arrangements where applicable, will be advised to students at least 10 days prior to the scheduled date of the assessment, or in the case of an examination when the examination timetable is published.