Grade descriptors and other information concerning grading are contained in the Macquarie University Assessment Policy.

All final grades are determined by a grading committee, in accordance with the Macquarie University Assessment Policy, and are not the sole responsibility of the Unit Convenor.

Students will be awarded a final grade and a mark which must correspond to the grade descriptors specified in the Assessment Procedure (clause 128).

To pass this unit, you must demonstrate sufficient evidence of achievement of the learning outcomes, meet any ungraded requirements, and achieve a final mark of 50 or better.

Further details for each assessment task will be available on iLearn.

Late Submissions

Unless a Special Consideration request has been submitted and approved, a 5% penalty (OF THE TOTAL POSSIBLE MARK) will be applied each day a written assessment is not submitted, up until the 7th day (including weekends). After the 7th day, a grade of ‘0’ will be awarded even if the assessment is submitted. Submission time for all written assessments is set at 11.55pm. A 1-hour grace period is provided to students who experience a technical concern. 

 For example:

For any late submissions of time-sensitive tasks, such as scheduled tests/exams, performance assessments/presentations, and/or scheduled practical assessments/labs, students need to submit an application for Special Consideration.

Presentation

Assessment Type ¹: Presentation 

Indicative Time on Task ²: 5 hours 

Due: Week 4 & 6 

Weighting: 10%

Contribution to a group presentation contrasting two neuroimaging approaches to the same research question (5%) and individual written summary (5%; max. 300 words)

On successful completion you will be able to:

• Discuss key concepts and theories in relation to research findings obtained through different neuroimaging methods.
• Interpret and critically evaluate the results of neuroimaging studies.

Data analysis write-up 1

Assessment Type ¹: Quantitative analysis task 

Indicative Time on Task ²: 15 hours 

Due: Week 10 

Weighting: 20%

Analysis of curated dataset and write-up of methods and results (max. 1000 words)

On successful completion you will be able to:

• Demonstrate advanced knowledge of neuroimaging methods and their application to the investigation of human brain function.
• Explain the strengths and limitations of various neuroimaging methods and be able to identify the optimal method for a particular research question.

Data analysis write-up 2

Assessment Type ¹: Quantitative analysis task 

Indicative Time on Task ²: 25 hours 

Due: Week 13 

Weighting: 30%

Analysis of curated dataset and write-up of methods and results (max. 1500 words)

On successful completion you will be able to:

• Demonstrate advanced knowledge of neuroimaging methods and their application to the investigation of human brain function.
• Explain the strengths and limitations of various neuroimaging methods and be able to identify the optimal method for a particular research question.

Final exam

Assessment Type ¹: Examination 

Indicative Time on Task ²: 40 hours 

Due: Semester 2 Exam Period 

Weighting: 40%

Multiple-choice and short answer questions

On successful completion you will be able to:

• Demonstrate advanced knowledge of neuroimaging methods and their application to the investigation of human brain function.
• Explain the strengths and limitations of various neuroimaging methods and be able to identify the optimal method for a particular research question.
• Discuss key concepts and theories in relation to research findings obtained through different neuroimaging methods.
• Interpret and critically evaluate the results of neuroimaging studies.

¹ If you need help with your assignment, please contact:

• the academic teaching staff in your unit for guidance in understanding or completing this type of assessment
• the Writing Centre for academic skills support.

² Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation

As a student enrolled in this unit, you will engage in a range of face-to-face and online learning activities, including readings, lectures, etc. Details can be found on the iLearn site for this unit.

IMPORTANT: 

Active participation in the learning activities throughout the unit will require students to have access to a laptop or similar device. Please bring a laptop to all tutorials. 

Readings

Introduction to Human Neuroimaging (2019)

by Hans Op de Beeck and Chie Nakatani

iLearn

You will need access to the internet to access the unit's iLearn page. Through iLearn you will be able to access the lecture recordings (Echo360), additional readings, and feedback and marks for the assessment tasks. You are also required to submit assessment tasks via iLearn, using the Turnitin submission tool. Please allow time to familiarise yourself with how to access iLearn. ​For further information, visit the iLearn student support page.

Lectures

All lectures will be delivered face-to-face in 14SCO (T4 Theatre), starting in Week 1. The officially scheduled lecture time is Wednesday 8:30 AM - 10:00 AM. Although attendance at lectures is strongly encouraged, all lectures will be recorded and made available for asynchronous viewing through Echo360. Lecture slides will be uploaded to iLearn just before the lecture time under the lecture link in the relevant week below. 

Tutorials

All tutorials will be delivered face-to-face in starting in Week 1. Please check eStudent for the time and location of your tutorial. Changes to tutorials need to be made online via eStudent only (neither the unit convenor nor the tutor can make changes to your tutorial enrolment). After week 2, no further changes will be allowed unless supporting documentation about the reason for changing is provided and there is space in the tutorial you wish to enrol in. 

Face-to-face tutorials are an essential part of COGS3030 and these cannot be delivered online. All students are therefore expected to come to campus to participate in tutorials and, for some weeks, complete the associated in-class assessment tasks. If you are unable to attend a tutorial with an in-class assessment task due to unavoidable reasons (quarantine, illness, etc.), you should apply for Special Consideration through AskMQ. Reasonable adjustments will be made for students with approved Special Consideration. You do not need to apply for Special Consideration if you miss a tutorial that does not have an in-class assessment task.

Requests for extensions, medical leave, and/or special consideration

Please note that it is the student’s responsibility to notify the University of a disruption to their studies. All requests for extensions, medical leave and/or special consideration should be made prior to the due date for the assignment, are to be made directly via the University’s online Ask MQ system. Guidelines for Special Consideration can be found here. 

Social inclusion at Macquarie University is about giving everyone who has the potential to benefit from higher education the opportunity to study at university, participate in campus life and flourish in their chosen field. The University has made significant moves to promote an equitable, diverse and exciting campus community for the benefit of staff and students. It is your responsibility to contribute towards the development of an inclusive culture and practice in the areas of learning and teaching, research, and service orientation and delivery. As a member of the Macquarie University community, you must not discriminate against or harass others based on their sex, gender, race, marital status, carers' responsibilities, disability, sexual orientation, age, political conviction or religious belief. All staff and students are expected to display appropriate behaviour that is conducive to a healthy learning environment for everyone.

In the Faculty of Medicine, Health and Human Sciences, professionalism is a key capability embedded in all our courses.

As part of developing professionalism, students are expected to attend all small group interactive sessions including clinical, practical, laboratory, work-integrated learning (e.g., PACE placements), and team-based learning activities. Some learning activities are recorded (e.g., face-to-face lectures), however you are encouraged to avoid relying upon such material as they do not recreate the whole learning experience and technical issues can and do occur. As an adult learner, we respect your decision to choose how you engage with your learning, but we would remind you that the learning opportunities we create for you have been done so to enable your success, and that by not engaging you may impact your ability to successfully complete this unit. We equally expect that you show respect for the academic staff who have worked hard to develop meaningful activities and prioritise your learning by communicating with them in advance if you are unable to attend a small group interactive session.

Another dimension of professionalism is having respect for your peers. It is the right of every student to learn in an environment that is free of disruption and distraction. Please arrive to all learning activities on time, and if you are unavoidably detained, please join activity as quietly as possible to minimise disruption. Phones and other electronic devices that produce noise and other distractions must be turned off prior to entering class. Where your own device (e.g., laptop) is being used for class-related activities, you are asked to close down all other applications to avoid distraction to you and others. Please treat your fellow students with the utmost respect. If you are uncomfortable participating in any specific activity, please let the relevant academic know.