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Unit outline_

CLNP5001: Basic Sciences in Clinical Neurophysiology

Semester 1, 2024 [Online] - Camperdown/Darlington, Sydney

This unit of study provides the core anatomical, physiological and technical knowledge required for the practice of clinical neurophysiology. In order to obtain and interpret information regarding the function of the neural systems, clinicians must be able to accurately record and quantify electrical signals from a myriad of neurological structures. This unit describes the methods by which these electrical signals are generated, recorded, processed and presented for interpretation. It also examines the neurological systems and processes responsible for signal generation, and introduces the role of clinical neurophysiology in diagnosis of systemic disease.

Unit details and rules

Academic unit Clinical Neurophysiology
Credit points 6
Prerequisites
? 
None
Corequisites
? 
None
Prohibitions
? 
None
Assumed knowledge
? 

None

Available to study abroad and exchange students

No

Teaching staff

Coordinator Jessie Ly, jessie.ly@sydney.edu.au
Lecturer(s) Adam Hastings, adam.hastings@sydney.edu.au
Jessie Ly, jessie.ly@sydney.edu.au
Alison Szekely, alison.szekely@sydney.edu.au
The census date for this unit availability is 2 April 2024
Type Description Weight Due Length
Supervised exam
? 
Final Exam
Online MCQ
50% Formal exam period 1 hour
Outcomes assessed: LO1 LO2 LO3 LO4
Online task Graded Module Quizzes
MCQs
10% Multiple weeks Various Duration
Outcomes assessed: LO1 LO2 LO3 LO4
Small continuous assessment Case Discussions
Online discussion
20% Multiple weeks See Canvas
Outcomes assessed: LO1 LO2 LO3 LO4
Small continuous assessment Mini Essays
Short essay questions
20% Multiple weeks See Canvas
Outcomes assessed: LO1 LO2 LO3 LO4

Assessment summary

  • Graded module quizzes: There are 6 graded quizzes made up of a set number of questions and a set time limit. Only one attempt will be allowed. The graded quizzes are open for a set period.
  • Case discussions: You will be asked to respond to the questions posed. There are 6 case discussions throughout the semester at the end of every module. You are required to post a response to every case discussion and respond, comment on, raise questions, provide answers or critique at least one other student’s post.
  • Mini essays: The mini essays are designed to help you synthesise and apply the knowledge you have gained.
  • Final exam: The final exam is a graded, fully invigilated exam conducted via Canvas with the help of an online proctor. The exam will contain 50 multiple choice questions (single best answer).

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (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.

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 Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

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 2023 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 2023. 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

WK Topic Learning activity Learning outcomes
Week 01 Module 1: Neuronal cellular physiology Online class (10 hr) LO1 LO2
Week 02 Module 1: Neuronal cellular physiology Online class (10 hr) LO1 LO2
Week 03 Module 2: Basic neuroanatomy Online class (10 hr) LO1 LO2
Week 04 Module 2: Basic neuroanatomy Online class (10 hr) LO1 LO2
Week 05 Module 3: Motor and sensory pathways Online class (10 hr) LO1 LO2
Week 06 Module 3: Motor and sensory pathways Online class (10 hr) LO1 LO2
Week 07 Module 4: Brainstem, cranial nerves and special senses Online class (10 hr) LO1 LO2
Week 08 Module 4: Brainstem, cranial nerves and special senses Online class (10 hr) LO1 LO2
Week 09 Module 5: Equipment Online class (10 hr) LO1 LO2 LO3 LO4
Week 10 Module 5: Equipment Online class (10 hr) LO1 LO2 LO3 LO4
Week 11 Module 6: Clinical testing Online class (10 hr) LO1 LO2 LO3 LO4
Week 12 Module 6: Clinical testing Online class (10 hr) LO1 LO2 LO3 LO4
Week 13 Revision Individual study (10 hr)  

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.

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.

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

  • LO1. describe the neurological systems and processes involved in signal generation
  • LO2. explain how neurological systems and processes general electrical signals
  • LO3. summarise the methods by which electronic signals are recorded, processed and presented for interpretation
  • LO4. relate this knowledge to the role of clinical neurophysiology in the diagnosis of systemic disease

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
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9

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 Evaluation 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.