Outline

Overview

The Pathogenesis of Human Disease 1 unit of study modules will provide a theoretical background to the scientific basis of the pathogenesis of disease. Areas covered in theoretical modules include: tissue responses to exogenous factors, adaptive responses to foreign agents, cardiovascular/pulmonary/gut responses to disease, forensic science, neuropathology and cancer. The aims of the course are: - To give students an overall understanding of the fundamental biological mechanisms governing disease pathogenesis in human beings. - To introduce to students basic concepts of the pathogenesis, natural history and complications of common human diseases. - To demonstrate and exemplify differences between normality and disease. - To explain cellular aspects of certain pathological processes. Together with CPAT3202, the unit of study would be appropriate for those who intend to proceed to Honours research, to postgraduate studies such as Medicine or to careers in biomedical areas such as hospital science. Enquires should be directed to anthea.matsimanis@sydney.edu.au

Unit details and rules

Academic unit
Credit points	6
Prerequisites ?	12cp from {[ANAT2008 or ANAT2009 or (ANAT2010 or ANAT2910) or ANAT2011] or [(BCHM2071 or BCHM2971) or (BCHM2072 or BCHM2972)] or [(BCMB2001 or BCMB2901) or (BCMB2002 or BCMB2902)] or [(BIOL2021 or BIOL2921) or (BIOL2022 or BIOL2922) or (BIOL2024 or BIOL2924) or (BIOL2030 or BIOL2930) or (BIOL2031 or BIOL2931)] or [(GEGE2001 or GEGE2901)] or [(IMMU2101 or MICR2021 or MICR2921 or MICR2022 or MICR2922 or MICR2031 or MICR2931 or MIMI2002 or MIMI2902)] or [(MBLG2071 or MBLG2971) or (MBLG2072 or MBLG2972)] or [(PCOL2011 or PCOL2021) or (PCOL2012 or PCOL2022)] or [(PHSI2005 or PHSI2905) or (PHSI2006 or PHSI2906) or (PHSI2007 or PHSI2907) or [PHSI2008 or PHSI2908)] or [(BMED2403 and BMED2404)]} or [MEDS2004 and 6cp from (MEDS2001 or MEDS2002 or MEDS2003 or MEDS2005)]
Corequisites ?	None
Prohibitions ?	CPAT3901
Assumed knowledge ?	Sound knowledge of biology through meeting pre-requisites
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Paul Witting, paul.witting@sydney.edu.au
Guest lecturer(s)	Eleanor Drummond, eleanor.drummond@sydney.edu.au
Lecturer(s)	Nicholas King, nicholas.king@sydney.edu.au
	Melanie White, melanie.white@sydney.edu.au
	Greg Sutherland, g.sutherland@sydney.edu.au
	Georges Grau, georges.grau@sydney.edu.au
	Lenka Munoz, lenka.munoz@sydney.edu.au

Type	Description	Weight	Due	Length
Final exam	Final exam Short answer and MCQ	60%	Formal exam period	2 hours
Outcomes assessed:
In-semester test	In-semester Exam 1 MCQ	10%	Week 07 Due date: 08 Apr 2020 at 15:00	20MCQ; 30min total time
Outcomes assessed:
In-semester test	In-semester Exam 2 MCQ	10%	Week 11 Due date: 13 May 2020 at 15:00	20MCQ; 30min total time
Outcomes assessed:
Assignment	Research project Essay	20%	Week 13 Due date: 25 May 2020 at 23:59	1500 words
Outcomes assessed:

Assessment summary

In-semester exams: The format of the exam is single best answer multiple choice questions. Course content examined will include all relevant material from the cancer and inflammation modules for exam 1 and immunology and respiratory modules for exam 2.
Research projects: Project information will be available on Canvas from week 1. All students are required to sign up to a project during week 2.

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	To be awarded to students who, in their performance in assessment tasks, demonstrate the learning outcomes for the unit at an exceptional standard as defined by grade descriptors or exemplars established by the faculty.
Distinction	75 - 84	To be awarded to students who, in their performance in assessment tasks, demonstrate the learning outcomes for the unit at a very high standard as defined by grade descriptors or exemplars established by the faculty.
Credit	65 - 74	To be awarded to students who, in their performance in assessment tasks, demonstrate the learning outcomes for the unit at a good standard as defined by grade descriptors or exemplars established by the faculty.
Pass	50 - 64	To be awarded to students who, in their performance in assessment tasks, demonstrate the learning outcomes for the unit at an acceptable standard as defined by grade descriptors or exemplars established by the faculty.
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.

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.

Weekly schedule

WK	Topic	Learning activity
Week 01	Inflammation Lectures 1 and 2	Lecture (2 hr)
Week 01	Inflammation microscope practical	Practical (1.5 hr)
Week 02	Inflammation Lectures 3 and 4	Lecture (2 hr)
Week 02	Inflammation Museum tutorial	Tutorial (1 hr)
Week 03	Neuro Inflammation Lectures 1 and 2	Lecture (2 hr)
Week 03	Neuro Inflammation microscope practical	Practical (1.5 hr)
Week 04	Immunology Lectures 1 and 2	Lecture (2 hr)
	Immunology museum tutorial	Tutorial (1 hr)
	Research project	Tutorial (1 hr)
Week 05	Immunology Lectures 3 and 4	Lecture (2 hr)
	Immunology microscope practical	Practical (1.5 hr)
	Research project	Tutorial (1 hr)
Week 06	Endocrine Lectures 1 and 2	Lecture (2 hr)
	Endocrine microscope practical	Practical (1.5 hr)
	Research project	Tutorial (1 hr)
Week 07	Endocrine Lectures 3 and 4	Lecture (2 hr)
Week 07	Museum tutorial	Tutorial (1 hr)
Week 08	Cancer Lectures 1 and 2	Lecture (2 hr)
	Cancer Microscope Practical 1	Practical (1.5 hr)
	Research project	Tutorial (1 hr)
Week 09	Cancer Lectures 3 and 4	Lecture (2 hr)
	Cancer Museum Turorial	Tutorial (1 hr)
	Research project	Tutorial (1 hr)
Week 10	Cancer Lectures 5 and 6	Lecture (2 hr)
	Cancer Microscope Practical 2	Practical (1.5 hr)
	Research project	Tutorial (1 hr)
Week 11	Haematology Lectures 1 and 2	Lecture (2 hr)
Week 11	Haematology microscope practical	Practical (1.5 hr)
Week 12	Respiratory Lectures 1 and 2	Lecture (2 hr)
	Respiratory museum tutorial	Tutorial (1 hr)
	Research project	Tutorial (1 hr)
Week 13	Respiratory Lectures 3 and 4	Lecture (2 hr)
Week 13	Respiratory Microscope Practical	Practical (1.5 hr)

Attendance and class requirements

Compulsory practical classes

The University of Sydney Coursework Policy 2014 states:

55 (2) A student enrolled in a unit of study must comply with the requirements set out in the faculty resolutions, award course resolutions or unit of study outline about undertaking the unit of study, including on matters such as:

(a) attendance at and participation in lectures, seminars and tutorials; and

(b) participation in practical work.

The Faculty of Science resolutions states:

9(1). Students are expected to attend a minimum of 80% of timetabled activities for a unit of study, unless granted exemption by the Associate Dean. Thus, attendance at a minimum of 80% of all timetabled classes is compulsory for successful completion of the course. Attendance will be recorded. If you do not show sufficient cause for absence from any part of the course you may not be allowed to sit the final examination.

Absences from scheduled practical, workshop or tutorial sessions must be supported by appropriate documentation (also see Guidelines for Special Consideration/Arrangements for important information relating to absence from scheduled classes). It may be possible to attend a different practical or tutorial session by special arrangement with the UoS coordinator.

NOTE in view of COVID-19 impact: Attendance will be recorded from students' arrival date on campus or from March 31st, whichever is the earliest. From February 24 (week 1), students enrolled in this unit should engage with and study all online content, as directed in the Canvas site, including the submission of any required formative tasks and completion of any asynchronous activities.

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

Robbins Basic Pathology Edition 9 (available online through university library services)

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.

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

LO1. understand basic investigative techniques for disease detection in pathology
LO2. evaluate diseased tissue at the macroscopic and microscopic level
LO3. describe, synthesise and present information on disease pathogenesis
LO4. demonstrate practical skills in the use of a light microscope
LO5. transfer problem-solving skills to novel situations related to disease pathogenesis.

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

Alignment with Competency standards

Outcomes	Competency standards
	Science Threshold Standards - 4.2. Appropriately documenting the essential details of procedures undertaken, key observations, results and conclusions 5.1. Demonstrating a capacity for self-directed learning
	Science Threshold Standards - 3.3. Applying recognised methods and appropriate practical techniques and tools, and being able to adapt these techniques when necessary 3.4. Collecting, recording and interpreting data and incorporating qualitative and quantitative evidence into scientifically defensible arguments 5.2. Demonstrating a capacity for working responsibly and safely
	Science Threshold Standards - 3.1. Synthesising and evaluating information from a range of sources, including traditional and emerging information technologies and methods 3.3. Applying recognised methods and appropriate practical techniques and tools, and being able to adapt these techniques when necessary 4.1. Presenting information, articulating arguments and conclusions, in a variety of modes, to diverse audiences, and for a range of purposes
	Science Threshold Standards - 3.3. Applying recognised methods and appropriate practical techniques and tools, and being able to adapt these techniques when necessary
	Science Threshold Standards - 3.2. Formulating hypotheses, proposals and predictions and designing and undertaking experiments in a safe and responsible manner 4.2. Appropriately documenting the essential details of procedures undertaken, key observations, results and conclusions

Science Threshold Standards -

Competency code	Taught, Practiced or Assessed	Competency standard
3.1		Synthesising and evaluating information from a range of sources, including traditional and emerging information technologies and methods
3.2		Formulating hypotheses, proposals and predictions and designing and undertaking experiments in a safe and responsible manner
3.4		Collecting, recording and interpreting data and incorporating qualitative and quantitative evidence into scientifically defensible arguments
4.1		Presenting information, articulating arguments and conclusions, in a variety of modes, to diverse audiences, and for a range of purposes
4.2		Appropriately documenting the essential details of procedures undertaken, key observations, results and conclusions

Responding to student feedback

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

All lectures recorded and available online in response to feedback regarding early 8am scheduling.

Additional information

Student hub - Professional Medical Education

Work, health and safety

No food or drink to be consumed in dry lab spaces

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

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Alignment with Competency standards

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Work, health and safety

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect

Current students

CPAT3201: Pathogenesis of Human Disease 1

Semester 1, 2020 [Normal day] - Camperdown/Darlington, Sydney

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Alignment with Competency standards

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Work, health and safety

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect