CLNP5004: Semester 2, 2025

Units CLNP5004 Semester 2 2025 [Distance education/intensive on campus]

Unit outline_

CLNP5004: Advanced Electroencephalography

Semester 2, 2025 [Distance education/intensive on campus] - Camperdown/Darlington, Sydney

Overview

This unit covers advanced aspects of diagnostic electroencephalography, including the specific technical requirements for continuous video EEG monitoring, seizure recognition during invasive EEG monitoring, current techniques in cortical mapping of seizures and their utility in tailored cortical resection.

Unit details and rules

Academic unit	Clinical Neurophysiology
Credit points	6
Prerequisites ?	CLNP5001 and CLNP5002
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Samantha Soe, samantha.soe@sydney.edu.au

Assessment

The census date for this unit availability is 1 September 2025

Details
Criteria

Type	Description	Weight	Due	Length	Use of AI
Written exam ?	Final exam Online MCQ	60%	Formal exam period	1 hour	AI prohibited
Outcomes assessed:
Out-of-class quiz	Module Graded Quizzes Online MCQ	10%	Multiple weeks	15 minutes each	AI allowed
Outcomes assessed:
Written work	Clinical Case Discussion Online discussion	10%	Multiple weeks	400 words	AI allowed
Outcomes assessed:
Written work	Short Essay 1 Essay 1	10%	Week 09 Due date: 12 Oct 2025 at 23:59	See Canvas	AI allowed
Outcomes assessed:
Written work	Short Essay 2 Essay 2	10%	Week 13 Due date: 02 Nov 2025 at 23:59	See Canvas	AI allowed
Outcomes assessed:

Assessment summary

Module Grade Quizzes: There will be 8 graded quizzes made up of 10 MCQs. Only one attempt per quiz will be allowed.
Short Essays: The short essays are designed to help you synthesise and apply the knowledge you have gained
Clinical Case Discussions: The clinical case discussions are designed to help you understand and apply the concepts that underpin the fundamentals of neurophysiology
Final Exam: The final exam comprises 50 multiple choice questions that require students to select the single most correct response from five options.

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2021 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name	Mark range	Description
High distinction	85 - 100
Distinction	75 - 84
Credit	65 - 74
Pass	50 - 64
Fail	0 - 49	When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see guide to grades.

Use of generative artificial intelligence (AI)

You can use generative AI tools for open assessments. Restrictions on AI use apply to secure, supervised assessments used to confirm if students have met specific learning outcomes.

Refer to the assessment table above to see if AI is allowed, for assessments in this unit and check Canvas for full instructions on assessment tasks and AI use.

If you use AI, you must always acknowledge it. Misusing AI may lead to a breach of the Academic Integrity Policy.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

Deduction of 5% of the maximum mark for each calendar day after the due date.
After ten calendar days late, a mark of zero will be awarded.

Academic integrity

The University expects students to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

Our website provides information on academic integrity and the resources available to all students. This includes advice on how to avoid common breaches of academic integrity. Ensure that you have completed the Academic Honesty Education Module (AHEM) which is mandatory for all commencing coursework students

Penalties for serious breaches can significantly impact your studies and your career after graduation. It is important that you speak with your unit coordinator if you need help with completing assessments.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

Learning support

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Support for students

The Support for Students Policy reflects the University’s commitment to supporting students in their academic journey and making the University safe for students. It is important that you read and understand this policy so that you are familiar with the range of support services available to you and understand how to engage with them.

The University uses email as its primary source of communication with students who need support under the Support for Students Policy. Make sure you check your University email regularly and respond to any communications received from the University.

Learning resources and detailed information about weekly assessment and learning activities can be accessed via Canvas. It is essential that you visit your unit of study Canvas site to ensure you are up to date with all of your tasks.

If you are having difficulties completing your studies, or are feeling unsure about your progress, we are here to help. You can access the support services offered by the University at any time:

Support and Services (including health and wellbeing services, financial support and learning support)
Course planning and administration
Meet with an Academic Adviser

Weekly schedule

WK	Topic	Learning activity
Week 01	Module 1: Introduction to long-term EEG Monitoring	Online class (10 hr)
Week 02	Module 2: Anaesthetic agents and medication effects on EEG	Online class (10 hr)
Week 03	Module 3: Continuous EEG monitoring in the intensive care unit and emergency department	Online class (10 hr)
Week 04	Module 3: Continuous EEG monitoring in the intensive care unit and emergency department	Online class (10 hr)
Week 05	Module 4: Recording video-EEG in EMU	Online class (10 hr)
Week 06	Module 4: Recording video-EEG in EMU	Online class (10 hr)
Week 07	Module 5: Pre-surgical evaluation with non-invasive EEG	Online class (10 hr)
Week 08	Module 5: Pre-surgical evaluation with non-invasive EEG	Online class (10 hr)
Week 09	Module 6: Intra-operative and extra-operative EEG monitoring	Online class (10 hr)
Week 10	Module 6: Intra-operative and extra-operative EEG monitoring	Online class (10 hr)
Week 11	Module 7: Cortical mapping of epileptiform activity and seizures	Online class (10 hr)
Week 12	Module 7: Cortical mapping of epileptiform activity and seizures	Online class (10 hr)
Week 13	Module 8: Cortical mapping of motor and sensory functional area	Online class (10 hr)

Attendance and class requirements

Attendance requirements: Students will be required to attend 2 days compulsory face to face teaching for this unit of study.

Workshop Dates: 23rd & 24th October 2025

Attendance is compulsory. See Canvas for details.

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

All readings for this unit can be accessed through Canvas.

Electroencephalography: basic principles, clinical applications, and related fields / [edited by] Ernst Niedermeyer, Fernando Lopes da Silva.
Atlas of video- EEG monitoring (1st ed.). New York: McGraw-Hill Medical. Sirven, J.I., & Stern, J.M.
Wyllie's treatment of epilepsy: Principles and practice (6th ed.). Philadelphia: Wolters Kluwer. Wyllie, E., Gidal, B. E., & Ovid Technologies, I. (2015).

Learning outcomes

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

Outcomes
Graduate qualities

At the completion of this unit, you should be able to:

LO1. demonstrate a detailed knowledge of the EEG recording system and the effects of key components on performance of the different types of long-term EEG monitoring
LO2. identify various drugs and medications used on patients with epilepsy and their effects on EEG recording
LO3. identify and evaluate EEG patterns encountered in ICU and ED department
LO4. demonstrate a detailed knowledge of seizure induction methods, appropriate testing of patients during an event for both diagnostic and surgical evaluation of the neurological disorders in EMU
LO5. demonstrate how inter-ictal and ictal EEG patterns are used to localise and lateralise the electro-clinical semiology in pre-surgical evaluation of focal/multifocal tumours and epilepsies
LO6. recognize the common focal epilepsies studied with invasive EEG monitoring using strips, grids and stereotactic depth electrodes and discuss indications for each technique and their benefits and pitfalls in localisation of seizure source
LO7. identify cortical zones and explain the concepts of cortical mapping of seizure focus, and utility of advanced EEG features high frequency oscillations
LO8. understand the concept of cortical mapping of eloquent area with electrical cortical stimulation and discuss benefits and limitations between subdural grids and stereotactic depth electrodes.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1	Depth of disciplinary expertise Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.
GQ2	Critical thinking and problem solving Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.
GQ3	Oral and written communication Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.
GQ4	Information and digital literacy Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.
GQ5	Inventiveness Generating novel ideas and solutions.
GQ6	Cultural competence Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.
GQ7	Interdisciplinary effectiveness Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.
GQ8	Integrated professional, ethical, and personal identity An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.
GQ9	Influence Engaging others in a process, idea or vision.

Outcome map

Learning outcomes	Graduate qualities
Learning outcomes

Responding to student feedback

This section outlines changes made to this unit following staff and student reviews.

We value your feedback about any aspect of the unit of study and your experience as a student of Sydney Medical School. To help ensure our courses meet your needs and maintain a high standard, we welcome your feedback at any time and we ask you to complete the Mid-Semester Evaluation Survey and the Unit of Study Survey at the end of the semester. You can also rate any component of the unit using our star rating system found at the bottom of many pages as you progress through the unit. Your ratings and comments are anonymous and specifying what you liked and didn’t like about any of the learning materials, assessment items, discussion forums, feedback etc will help us to target our improvement efforts. Please note that your participation in this unit of study permits de-identified information about your learning experience and interaction with learning resources to be used for the purpose of improving the student learning experience.

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Use of generative artificial intelligence (AI)

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Support for students

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

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