Outline

Overview

This unit of study builds on the material presented in Physical Pharmaceutics and Formulation A. The topics covered in this unit include: solid dose forms and particle science; dispersion dose forms including suspensions, colloidal dispersions, and emulsions; inhalation pharmaceutical aerosols; protein and peptide drugs and formulations; rectal products and novel drug delivery technologies; and techniques to characterise/test pharmaceutical formulation. Aspects pertaining to the stability of dose forms are also presented in this unit. Practical activities relate to the preparation, quality control and quality assurance of a marketed solid (tablet) dosage form.

Unit details and rules

Academic unit	Pharmacy
Credit points	6
Prerequisites ?	(CHEM1611 or CHEM11X1 or CHEM19X1 or CHEM1903 or CHEM1612 or CHEM11X2 or CHEM19X2 or CHEM1904) and PHAR1812 and PHAR1822
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Veysel Kayser, veysel.kayser@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 Examination MCQ and short answer exam.	50%	Formal exam period	1.5 hours	AI prohibited
Outcomes assessed:
In-class quiz	Laboratory pre-work quiz - Practical 1a MCQ	3%	Multiple weeks	5 min	AI allowed
Outcomes assessed:
Written work	Practical 1b Laboratory report submitted at the end of the second class.	25%	Multiple weeks	Max 2000 words	AI allowed
Outcomes assessed:
Contribution	Practical Participation	2%	Ongoing	4 h per session	AI allowed
Outcomes assessed:
Out-of-class quiz	Lecture quiz 1 Lecture quiz containing 3 x MCQ + 1 SAQ	5%	Week 03 Due date: 22 Aug 2025 at 17:00	15 min	AI allowed
Outcomes assessed:
Out-of-class quiz	Lecture quiz 2 Lecture quiz containing 3 MCQs + 1SAQ	5%	Week 06 Due date: 12 Sep 2025 at 17:00	15 min	AI allowed
Outcomes assessed:
Out-of-class quiz	Mid-semester quiz MCQ	5%	Week 08 Due date: 26 Sep 2025 at 17:00	1 hour	AI allowed
Outcomes assessed:
Out-of-class quiz	Lecture quiz 3 Lecture quiz containing 3 MCQs + 1 SAQ	5%	Week 12 Due date: 31 Oct 2025 at 17:00	15 min	AI allowed
Outcomes assessed:
= hurdle task ? = group assignment ?

Early feedback task

This unit includes an early feedback task, designed to give you feedback prior to the census date for this unit. Details are provided in the Canvas site and your result will be recorded in your Marks page. It is important that you actively engage with this task so that the University can support you to be successful in this unit.

Assessment summary

Laboratory practicals: The practical exercises will be performed in small groups during the scheduled practical sessions. The objective of the practical exercises is to assess individual’s and group’s abilities to understand the underlying principles of the course through experimental investigation and critical analysis.
Laboratory report: A group written laboratory report will consist of an analysis the data obtained in the practical sessions. Peer assessment (relative performance factor) will be applied to moderate the groupwork marks. Students will take part in a formative peer assessment conducted in week (2-11, depending on the laboratory group). Peer assessment will be completed online to obtain a factor between 0-1 and will be according to an agreed set of criteria established by groups in session 1.
Mid-semester quiz: The mid semester quiz will consist of multiple choice questions.
Online quizzes: The online quizzes will consist of three separate online quizzes that consist of three multiple-choice questions and 1 short answer question.
Final examination: The final examination will consist of multiple choice questions and short answer questions. Students must obtain a grade of ‘Pass’ in this assessment to satisfy the requirements for this unit of study. If this assessment is not passed, the maximum final grade possible to obtain will be 45 F, regardless of the total raw mark obtained for the unit of study.

AI allowed (all except Final exam)

You are permitted to use automated writing tools and generative artificial intelligence (AI) to facilitate your learning and completion of this assignment.  Please adhere to the following guidelines:

Do not enter confidential, personal, copyrighted or otherwise sensitive information into any AI tool.

Do not rely on the accuracy of outputs. You remain responsible for your work. This means you must independently verify and edit AI-generated content to ensure the integrity, accuracy, and suitability of the output.

If you use these tools, you must be aware of their limitations, biases, and propensity for fabrication.

 Your final submitted work must be your own, original work. You must acknowledge any use of 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 reference and acknowledge the use of AI, please refer to the AI in Education Canvas site.

 You are advised to keep copies of the prompts you provided and AI outputs as evidence of your research and writing process. This allows you to produce an accurate acknowledgement of AI use when you submit your work. This can be requested by the unit coordinator if there is any uncertainty about the originality of your work.

No use of AI (Final exam)

 The use of automated writing tools and generative artificial intelligence is prohibited in this assessment. You are not allowed to use AI or any other software to create information or answers, to alter your own original writing, or to generate or modify text from other sources. This includes translation software, editing/paraphrasing software and other generative artificial intelligence tools.

 Unapproved use is considered a breach of the Academic Integrity Policy and may result in penalties, which can include a fail for the assessment.

Repeating students: Exemption from components (tutorials, workshops etc) for students repeating PHAR2823 will not be granted.

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	At HD level, a student demonstrates an aptitude for the subject and a well-developed understanding of the unit material. A ‘High Distinction’ reflects exceptional achievement and is awarded to students who demonstrate the ability to apply their subject knowledge and understanding to produce original solutions for novel or highly complex problems and/or comprehensive critical discussions of theoretical concepts.
Distinction	75 - 84	At DI level, a student demonstrates an aptitude for the subject and a well-developed understanding of the units material. A ‘Distinction’ reflects excellent achievement and is awarded to a student who demonstrates an ability to apply their subject knowledge and understanding of the subject to produce good solutions for challenging problems and/or a reasonably well-developed critical analysis of theoretical concepts.
Credit	65 - 74	At CR level, a student demonstrates a good command and knowledge of the unit material. A ‘Credit’ reflects solid achievement and is awarded to a student who has a broad general understanding of the units material and can solve routine problems and/ or identify and superficially discuss theoretical concepts.
Pass	50 - 64	At PS level, a student demonstrates proficiency in the material. A ‘Pass’ reflects satisfactory adequately referencing the original source of the work.
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.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

Non submission of peer assessment will result in a factor of zero (0) being applied to the non-submitter’s groupwork mark.

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
Multiple weeks	Characterisation of particulate systems	Lecture and tutorial (3 hr)
	Solid oral dosage forms: tablets	Lecture and tutorial (6 hr)
	Capsule technology	Lecture and tutorial (3 hr)
	Introduction to the stability of pharmaceutical dose forms	Lecture and tutorial (1 hr)
	Solids advanced	Lecture and tutorial (4 hr)
	Inhalation aerosols	Lecture and tutorial (5 hr)
	Protein formulations	Lecture and tutorial (2 hr)
	Solids - Aerosols	Lecture and tutorial (3 hr)
	Manufacturing, characterization and quality control of tablet	Science laboratory (8 hr)
	Independent Study	Independent study (82 hr)

Attendance and class requirements

Attendance: In accordance with the Bachelor of Pharmacy and Bachelor of Pharmacy Management Course resolutions on Attendance Requirements, students must attend a minimum of 85% tutorials/ labs/ workshops (all lab classes) to satisfy attendance requirements for this unit of study. For more information see the current handbook.

If a tutorial/ lab/workshop is missed due to illness or misadventure, students are to submit a special consideration application along with supporting documentation and if approved may receive an alternative assessment.

Students arriving more than 10 minutes after the commencement of the tutorial/ lab/ workshop will be marked as absent. Students swapping a class without prior approval from the UoS co-ordinator will be marked as absent.

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 the Library Reading List, available on Canvas.

Aulton M.E. Pharmaceutics: The Science of Dosage Form Design (7th edn) Churchill Livingston

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. understand principles involved in the formulation of medicaments that are composed of materials in the solid state
LO2. understand the physicochemical principles that underlie materials in the solid form
LO3. calculate the amounts of ingredients required in a formulation
LO4. discuss the manufacturing procedures and quality control procedures for these products
LO5. understand the design and formulation of novel drug delivery systems.
LO6. design methodology for quality control of pharmaceutical products.

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.

Exam review sessions. Integration of the post-laboratory quiz with the report.

Additional information

Pharmacy subject guide

Work, health and safety

While working within the laboratory, all students must wear a clean white lab coat and safety eye-wear and wear shoes which completely cover the feet (no sandals or thongs are permitted).

Disclaimer

Important: the University of Sydney regularly reviews units of study and reserves the right to change the units of study available annually. To stay up to date on available study options, including unit of study details and availability, refer to the relevant handbook.

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

Early feedback task

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

Additional information

Additional information

Work, health and safety

Disclaimer

On this page

Useful links

PHAR2823: Physical Pharmaceutics and Formulation B

Semester 2, 2025 [Normal day] - Camperdown/Darlington, Sydney

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Early feedback task

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

Additional information

Additional information

Work, health and safety

Disclaimer

On this page

Useful links