- Class Number 3410
- Term Code 3030
- Class Info
- Unit Value 6 units
- Mode of Delivery In Person
- Dr Francis Hui
- Dr Francis Hui
- Dr Marcin Adamski
- Class Dates
- Class Start Date 24/02/2020
- Class End Date 05/06/2020
- Census Date 08/05/2020
- Last Date to Enrol 02/03/2020
This course equips biology students with skills in basic mathematics, statistics and computing in preparation for areas of biology which require quantitative data analysis. Such skills are important for experimental design and for analysing and interpreting quantitative datasets arising from modern bioinformatics and biological modelling. Topics covered include introductory calculus, linear algebra, probability and statistics, and elementary computer programming. Examples will be given of quantitative problems arising in biological contexts. Laboratory and/or field practicals may be used for data gathering.
Note: Graduate students attend joint classes with undergraduates but will be assessed separately
Upon successful completion, students will have the knowledge and skills to:Upon successful completion of this course, students will have the knowledge and skills to:
- Demonstrate a deep understanding of the mathematical reasoning underlying specific biological techniques.
- Demonstrate accurate and efficient use of specific mathematical tools in the analysis of biological data.
- Demonstrate capacity for original mathematical reasoning in a broader biological context.
- Effectively communicate complex quantitative biology concepts to their peers and academic staff, through carefully written technical reports.
Mathematics and statistics are disciplines which inform many other disciplines, including biology and ecology. The content and skills gained through this course are natural companions to research-led teaching: the fundamental concepts learnt in calculus, linear algebra, probability, and statistics form basic building blocks for studying virtually all natural biological phenomenon. Furthermore, by learning elementary coding skills in R, we will investigate how these concepts are applied to real data sets that address real research problems in biology and ecology.
Examination Material or equipment
Only the following material/equipment are permitted to mid-semester examinations related to this course: Unmarked English-to-foreign-language dictionary (no approval required); Calculator (non-programmable); One A4 page with handwritten notes on both sides.
All course materials will be made available on the Wattle site https://wattle.anu.edu.au. Students are free to use and modify the R code made available in the lecture notes when conducting your own analyses.
To log on to Wattle, you need to have an ANU ID (your student number) and a password (the same as for obtaining your e-mail). In order to access the class web page within Wattle, you will need to be formally enrolled in the course. The class web page will be updated with new information on a regular basis. Students are expected to regularly check the Wattle site for announcements and updates regarding the course.
Students with their own computers and who plan to use it as part of the course e.g., bringing it to the computer labs, are strongly recommended to install R (https://cran.r-project.org/) and Rstudio (https://rstudio.com/) at some point prior to commencement of the computer labs. Both are free to download and use.
Students will be given feedback in the following forms in this course:
- Feedback to the whole class, to groups, to individuals, focus groups
Student FeedbackANU is committed to the demonstration of educational excellence and regularly seeks feedback from students. Students are encouraged to offer feedback directly to their Course Convener or through their College and Course representatives (if applicable). The feedback given in these surveys is anonymous and provides the Colleges, University Education Committee and Academic Board with opportunities to recognise excellent teaching, and opportunities for improvement. The Surveys and Evaluation website provides more information on student surveys at ANU and reports on the feedback provided on ANU courses.
Please note all information on this outline is tentative e.g., consultation hours, due and return dates of assessments etc...More final and update information will be available on the associated Wattle page when the course commences.
Note also the section on mark moderation, in particular, some moderation of marks might be applied prior to final results being released.
|Week/Session||Summary of Activities||Assessment|
|1||Lectures - Weeks 1-12 ?3 hours per week during weeks 1-6, and 2 hours per week during weeks 7-12.||Please see Assessment Tasks.|
|2||Workshops - Weeks 1-6 2 hours per week, to review, implement, and extrapolate based on material learnt.||Please see Assessment Tasks.|
|3||Computer Labs - Weeks 7-12 Computer Labs - 3 hours per week, implementing and practising coding in R.||Please see Assessment Tasks.|
|Assessment task||Value||Due Date||Return of assessment||Learning Outcomes|
|Assigments in Part I (Calculus and Linear Algebra)||30 %||*||*||1,4|
|Mid-semester exam in Part I (Calculus and Linear Algebra)||20 %||30/03/2020||24/04/2020||1,4|
|In-class practical tests in Parts II and III (R programming & Probability and Statistics)||30 %||*||*||1,2,3,4|
|Assignments in Parts II and III (R programming & Probability and Statistics)||20 %||*||*||1,2,3,4|
* If the Due Date and Return of Assessment date are blank, see the Assessment Tab for specific Assessment Task details
PoliciesANU has educational policies, procedures and guidelines, which are designed to ensure that staff and students are aware of the University’s academic standards, and implement them. Students are expected to have read the Academic Misconduct Rule before the commencement of their course. Other key policies and guidelines include:
Assessment RequirementsThe ANU is using Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. For additional information regarding Turnitin please visit the ANU Online website Students may choose not to submit assessment items through Turnitin. In this instance you will be required to submit, alongside the assessment item itself, hard copies of all references included in the assessment item.
Moderation of AssessmentMarks that are allocated during Semester are to be considered provisional until formalised by the College examiners meeting at the end of each Semester. If appropriate, some moderation of marks might be applied prior to final results being released.
Please see Assessment Task 2 for the mid-semester exam, which will be centrally administered.
Please note, that where a date range is used in the Assessment Summary in relation to exams, the due date and return date for mid-semester exams indicate the approximate time frame in which the exam will be held; the due and return date for end of semester exams indicate the approximate time frame in which the exam will be held and the date official end of Semester results are released on ISIS. Students should consult the course wattle site and the ANU final examination timetable to confirm the date, time and venue of the exam.
Assessment Task 1
Learning Outcomes: 1,4
Assigments in Part I (Calculus and Linear Algebra)
3 written assignments worth 10% each.
Due: Around Week 3 of semester
Returned: Around Week 5 of semester
Due: Around Week 5 of semester
Returned: Around Week 7 of semester
Due: Around Week 7 of semester
Returned: Around Week 9 of semester
Assessment Task 2
Learning Outcomes: 1,4
Mid-semester exam in Part I (Calculus and Linear Algebra)
1 formative mid-semester exam worth 20%.
As this will be a centrally administered exam, please check the course Wattle site and the ANU Examination Timetable to confirm the date, time and location of the exam (likely between weeks 7 to 9). The exam will be available for viewing by the end of the semester.
Assessment Task 3
Learning Outcomes: 1,2,3,4
In-class practical tests in Parts II and III (R programming & Probability and Statistics)
3 in-class tests worth 10% each, occurring in computer labs for Weeks 8, 9 and 12 of the semester.
Assessment Task 4
Learning Outcomes: 1,2,3,4
Assignments in Parts II and III (R programming & Probability and Statistics)
2 computer-based assignment worth 10% each.
Due: Around Week 10 of semester
Returned: Around Week 12 of semester
Due: Around Week 12 of semester
Returned: After end of semester
Academic IntegrityAcademic integrity is a core part of our culture as a community of scholars. At its heart, academic integrity is about behaving ethically. This means that all members of the community commit to honest and responsible scholarly practice and to upholding these values with respect and fairness. The Australian National University commits to embedding the values of academic integrity in our teaching and learning. We ensure that all members of our community understand how to engage in academic work in ways that are consistent with, and actively support academic integrity. The ANU expects staff and students to uphold high standards of academic integrity and act ethically and honestly, to ensure the quality and value of the qualification that you will graduate with. The University has policies and procedures in place to promote academic integrity and manage academic misconduct. Visit the following Academic honesty & plagiarism website for more information about academic integrity and what the ANU considers academic misconduct. The ANU offers a number of services to assist students with their assignments, examinations, and other learning activities. The Academic Skills and Learning Centre offers a number of workshops and seminars that you may find useful for your studies.
The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.
Given the largely quantitative and computational nature of this course, then when assessments need to be submitted online we will likely make use of the standard online submission tool and not Turnitin.
While as many assessments as possible will be submitted online, we strongly recommend students keep a hard copy of all assessments as appropriate e.g., if you hand write your answers to an assignment and then scan it for online submission, for record keeping purposes.
Late submission permitted.
Late submission of assessment tasks without an extension are penalised at the rate of 5% of the possible marks available per working day or part thereof. Late submission of assessment tasks is not accepted after 5 working days after the due date. Late submission is not available for in-class tests.
Referencing RequirementsAccepted academic practice for referencing sources that you use in presentations can be found via the links on the Wattle site, under the file named “ANU and College Policies, Program Information, Student Support Services and Assessment”. Alternatively, you can seek help through the Students Learning Development website.
Please see the feedback section.
Extensions and PenaltiesExtensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure The Course Convener may grant extensions for assessment pieces that are not examinations or take-home examinations. If you need an extension, you must request an extension in writing on or before the due date. If you have documented and appropriate medical evidence that demonstrates you were not able to request an extension on or before the due date, you may be able to request it after the due date.
Resubmission of Assignments
Assignments are not permitted to be resubmitted.
Distribution of grades policyAcademic Quality Assurance Committee monitors the performance of students, including attrition, further study and employment rates and grade distribution, and College reports on quality assurance processes for assessment activities, including alignment with national and international disciplinary and interdisciplinary standards, as well as qualification type learning outcomes. Since first semester 1994, ANU uses a grading scale for all courses. This grading scale is used by all academic areas of the University.
Support for studentsThe University offers students support through several different services. You may contact the services listed below directly or seek advice from your Course Convener, Student Administrators, or your College and Course representatives (if applicable).
- ANU Health, safety & wellbeing for medical services, counselling, mental health and spiritual support
- ANU Diversity and inclusion for students with a disability or ongoing or chronic illness
- ANU Dean of Students for confidential, impartial advice and help to resolve problems between students and the academic or administrative areas of the University
- ANU Academic Skills and Learning Centre supports you make your own decisions about how you learn and manage your workload.
- ANU Counselling Centre promotes, supports and enhances mental health and wellbeing within the University student community.
- ANUSA supports and represents undergraduate and ANU College students
- PARSA supports and represents postgraduate and research students
Dr Francis Hui
Dr Francis Hui