• Class Number 2777
  • Term Code 3430
  • Class Info
  • Unit Value 6 units
  • Mode of Delivery In Person
    • Dr Ana Sequeira
    • Dr Ana Sequeira
    • AsPr Marcin Adamski
  • Class Dates
  • Class Start Date 19/02/2024
  • Class End Date 24/05/2024
  • Census Date 05/04/2024
  • Last Date to Enrol 26/02/2024
SELT Survey Results

This course equips biology students with skills in basic quantitative data analyses approaches used in Biology and Ecology, including statistics and computing programming in R. Such skills are important for experimental design and for analysing and interpreting quantitative datasets. Topics covered include elementary computer programming in R, probability and statistics, and introduction to statistical modelling. Examples will be given of quantitative problems arising in biological contexts and will be developed in computer workshops.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

  1. Write elementary computer codes using the statistical programming language R.
  2. Understand and apply the basic concepts of probability and statistics.
  3. Demonstrate an understanding and apply the basic concepts of statistical modelling.
  4. Apply the basic concepts of probability, statistics and computing to simple biological problems.

Research-Led Teaching

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 probability and statistics form basic building blocks for studying virtually all natural biological phenomenon all the way through the development of ecological models useful to address key questions in Ecology. A focus on learning elementary coding skills in R, allow students to investigate how theoretical concepts transform into applications in biology and ecology.

Examination Material or equipment

Calculator (non-programmable); One A4 page with handwritten notes on both sides.

Required Resources

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.

Recommended student system requirements 

ANU courses commonly use a number of online resources and activities including:

  • video material, similar to YouTube, for lectures and other instruction
  • two-way video conferencing for interactive learning
  • email and other messaging tools for communication
  • interactive web apps for formative and collaborative activities
  • print and photo/scan for handwritten work
  • home-based assessment.

To fully participate in ANU learning, students need:

  • A computer or laptop. Mobile devices may work well but in some situations a computer/laptop may be more appropriate.
  • Webcam
  • Speakers and a microphone (e.g. headset)
  • Reliable, stable internet connection. Broadband recommended. If using a mobile network or wi-fi then check performance is adequate.
  • Suitable location with minimal interruptions and adequate privacy for classes and assessments.
  • Printing, and photo/scanning equipment

For more information please see https://www.anu.edu.au/students/systems/recommended-student-system-requirements

Staff Feedback

Students will be given feedback in the following forms in this course:

  • Written comments
  • Feedback to the whole class, to groups, to individuals, focus groups

In addition to feedback provided by staff, you will receive valuable feedback and help from your fellow students. Many of the class activities have been designed to maximise this kind of feedback.

Student Feedback

ANU 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.

Other Information

Please note all information on this outline is tentative e.g., consultation hours, due and return dates of assessments etc. More final and up to date 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.

Class Schedule

Week/Session Summary of Activities Assessment
1 Computer Labs - Weeks 1-12Computer Labs - 3 hours per week, implementing and practising coding in R Please see Assessment Tasks.
2 Lectures Weeks 1-122 hours per week in person (unless otherwise stated by the lecturer)

Tutorial Registration

Students are required to enrol in one of the mathematics workshop groups and one computer workshop using mytimetable. Remote participation options will be provided for students who require them.

Assessment Summary

Assessment task Value Learning Outcomes
In-class practical tests 72 % 1,2,3,4
Assignment 14 % 1,2,3,4
Online quiz 14 % 1,2,3,4

* If the Due Date and Return of Assessment date are blank, see the Assessment Tab for specific Assessment Task details


ANU 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 Requirements

The 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 Assessment

Marks 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.


In Semester 1 2024, this course is delivered on campus

You are expected to participate in person during the workshops and computer labs, as practical tests will take place during these times.


No examination

Assessment Task 1

Value: 72 %
Learning Outcomes: 1,2,3,4

In-class practical tests

8 in-class tests worth 9% each, occurring in computer labs for Weeks 2, 3, 5, 6, 8, 9, 11 and 12 of the semester.

Assessment Task 2

Value: 14 %
Learning Outcomes: 1,2,3,4


One computer-based assignment worth 7% for in Parts I and II (R programming & Probability and Statistics) plus another computer-based assignment worth 7% for Part III (Statistical Modelling)

Assignment 1

Due after week 3

Returned: Around 2 weeks after submission

Assignment 2

Due: after week 9

Returned: Around 2 weeks after submission

Assessment Task 3

Value: 14 %
Learning Outcomes: 1,2,3,4

Online quiz

Two online quizzes worth 7% each.

The quiz is to be taken after the last computer lab of each module, during a specific period while the quiz will be opened. Students will have 90 minutes to complete the quiz and only 1 attempt.

You can take the quiz anytime during the period while it's open, but once you start you have only 90 minutes.

Academic Integrity

Academic 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.

Online Submission

You will be required to agree to a declaration as part of the submission of your assignments, that will record your understanding of ANU academic integrity principles. When assessments need to be submitted online we will likely make use of the Wattle assignment submission tool. BIOL2001 does not use Turnitin, having been granted an exemption.

Hardcopy Submission

While as many assessments as possible will be submitted online, we 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

Late submission for assessment tasks is not permitted.

Referencing Requirements

Accepted 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.

Returning Assignments

Feedback will be returned via the Wattle Assignment box.

Extensions and Penalties

Extensions 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.

Privacy Notice

The ANU has made a number of third party, online, databases available for students to use. Use of each online database is conditional on student end users first agreeing to the database licensor’s terms of service and/or privacy policy. Students should read these carefully. In some cases student end users will be required to register an account with the database licensor and submit personal information, including their: first name; last name; ANU email address; and other information. In cases where student end users are asked to submit ‘content’ to a database, such as an assignment or short answers, the database licensor may only use the student’s ‘content’ in accordance with the terms of service — including any (copyright) licence the student grants to the database licensor. Any personal information or content a student submits may be stored by the licensor, potentially offshore, and will be used to process the database service in accordance with the licensors terms of service and/or privacy policy. If any student chooses not to agree to the database licensor’s terms of service or privacy policy, the student will not be able to access and use the database. In these circumstances students should contact their lecturer to enquire about alternative arrangements that are available.

Distribution of grades policy

Academic 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 students

The 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).
Dr Ana Sequeira

Research Interests

Dr Ana Sequeira

By Appointment
Dr Ana Sequeira

Research Interests

Dr Ana Sequeira

By Appointment
AsPr Marcin Adamski

Research Interests

AsPr Marcin Adamski


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