KIT103 Computational Science

School of Information and Communication Technology College of Sciences and Engineering

Unit Outline

KIT103 Computational Science

Semester 2, 2022

Sandy Bay Campus, Hobart

Newnham Campus, Launceston

COVID-19 (Coronavirus Information)

For information on how you can help keep us all safe, please review the Coronavirus updates page here:

Sections that describe features of this unit that are different from other KIT units are highlighted with a red line in the marginUNIT OVERVIEW                                                                                                                 


Computers and mathematics are powerful tools for modelling and reasoning about the world around us. They are also powerful tools for reasoning about computation itself. This unit explores the fundamental topics of sets, logic, combinatorics and number theory as they apply to modelling real-world problems, as well as to thinking about the

operation of computers and program code. Learn just how much can be accomplished with a single line of Python. During the semester students will assemble their personal toolkit of mathematical and programming techniques, forming the

foundation of further study in mathematics, data science or software development.



Unit Weight

12.5% of one academic year

Learning expectations

The University is committed to high standards of professional conduct in all activities, and holds its commitment and responsibilities to its students as being of paramount importance. Likewise, it holds expectations about the responsibilities students have as they pursue their studies within the special environment the University offers. The University’s Code of Conduct for Teaching and Learning states:

Students are expected to participate actively and positively in the teaching/learning environment. They must strive to maintain steady progress within the subject or unit framework, comply with workload expectations, and submit required work on time.

COVID-19 (Coronavirus) Information

For information on how you can help keep us all safe, please review the Coronavirus updates page here:

Attendance/performance requirements and teaching and learning strategies

Learning anything, but particularly potentially challenging skills like mathematics and programming, requires practice. While participation in live activities is not mandatory, we strongly recommend that you participate in all tutorials, as it is when you are practising the unit’s skills that you will learn them. The tasks will be available beforehand and you should attempt them before attending class, seeking assistance on any parts where you had trouble.

Lectures will be live streamed using Zoom, with recordings available through Echo360 within 3 hours of each lecture. Each lecture will have time for working in groups on a newly introduced concept or skill.

In this unit, your early, active engagement will be monitored in the following way:

  1. Participation in tutorials Weeks 2–4 (attendance will continue to be monitored throughout semester)
  2. Completion of an unweighted quiz on basic arithmetic before the end of Week 4. The quiz will highlight any areas you need additional practice.


News and announcements will be posted to the unit’s Announcements stream on MyLO, and students are expected to be aware of the content of these items within 48 hours of them being posted.

You can use the discussion forum to ask questions and also to respond to questions posted by your peers. The lecturer will also respond to any queries, typically within 72 hours during semester time. Assignment solutions should not be

discussed (offer guidance only), but queries seeking clarification may be posted at any time and the lecturer will respond to them.

Teaching Pattern

Online prerecorded lectures: Up to 1 hour/week, to be viewed before the live lecture.

Lectures: 2 hours/week, delivered using Zoom, comprising instruction, demonstrations and group activities in breakout rooms.

Tutorials: 2 hours/week, in a computer lab, comprising mathematics exercises on your own paper or tablet, and programming activities on the computer.

Unit Content

See the Unit Overview content section of the site for a timeline view of the unit’s topics and assessment. The unit covers:

Set theory and functions: Set notation, set operations, Venn diagrams, Cartesian products, set comprehensions in Python, bitsets, and testing programming functions (the inputs and outputs of which are defined by sets).

Boolean algebra and conditional program logic: Statements (propositions), negation, conjunction and disjunction of statements, truth tables, Karnaugh Maps, De Morgan’s laws, tautologies, contradictions, validation of conditional program logic Combinatorics: Counting and generating arrangements, permutations and combinations.

Number theory: Prime numbers, divisibility properties, sieving algorithms, one-way functions, positional notation, number systems and converting between bases.

For more information see the section titled ‘Content’ on the unit website.

Prior Knowledge and/or Skills

It is strongly recommended that students without the mathematical skills equivalent to at least MTA315109 or MTM315109 or MTS315109 complete KMA002 or KMA003.

Relevant introductory online tutorials on Python are linked to from MyLO.

Learning Outcomes

On successful completion of this unit, you will be able to:

  1. apply the tools of discrete mathematics to model real world problems within a scientific computing environment;
  2. translate mathematical expressions involving discrete entities into valid program code;
  3. select appropriate mathematical and programming structures to suit a given scenario; and
  4. solve abstract and real world problems using formal definitions and properties of fundamental mathematical structures without the use of a computer

Developing attainment of Skills Framework for the Information Age (SFIA)

As an accredited Australian Computing Society (ACS) course, each unit offered in this ICT course assists students in the attainment of SFIA skills which can help you achieve your specific career goals. As you progress through the course you will develop depth with the skills at increasing levels of responsibility ranging from 1-5.

For more information regarding the SFIA you can visit the following website: sfia/browsing-sfia

Upon successful completion of this unit, you will have the capacity to demonstrate attainment of the following SFIAv8 skills at the levels indicated by (numeric) or be on a development path towards attaining the SFIAv8 skill at the lowest available level indicated by (D):

Methods and tools (METL, 3), Programming/software development (PROG, 2), Data science (DATS, 2), Data modelling and design (DTAN, 2), Scientific Modelling (SCMO, D), Numerical Analysis (NUAN, D), Testing (TEST, 2)

Generic graduate attributes

Successful completion of this unit supports your development of course learning outcomes, which describe what a graduate of a course knows, understands and is able to do. Course learning outcomes are available by selecting the appropriate course from this page, and choosing Learning Outcomes or they can be obtained from the Course Coordinator. Course learning outcomes are developed with reference to national discipline standards, Australian Qualifications Framework (AQF), any professional accreditation requirements and the University of Tasmania’s Graduate Statement.

The University of Tasmania experience unlocks the potential of individuals. Our graduates are equipped and inspired to shape and respond to the opportunities and challenges of the future as accomplished communicators, highly regarded professionals and culturally competent citizens in local, national, and global society. University of Tasmania graduates acquire subject and multidisciplinary knowledge and skills, and develop critical and creative literacies and numeracies and skills of inquiry. They demonstrate the ability to apply this knowledge in changing circumstances. Our graduates recognise and critically evaluate issues of social responsibility, ethical conduct and sustainability, are entrepreneurial and creative, and are mindful of their own wellbeing and that of the community. Through respect for diversity and by working in collaborative ways, our graduates reflect the values of the University of Tasmania.

Knowledge use a wide range of academic skills (research, analysis, synthesis etc) to problem-solve an ICT-related issue; understand the limitation of, and have the capacity to evaluate, their current knowledge; develop a broad knowledge base and respect the contribution of other disciplines or professional areas relating to ICT; identify, evaluate and implement personal learning strategies; learn both independently and cooperatively; learn new skills and apply learning to new and unexpected situations; and recognise opportunities.

Communication Skills demonstrate oral, written, numerical and graphic communication; use the medium and form of communication appropriate for a given situation; present well-reasoned arguments, using technology as appropriate; access, organise and present information, particularly through technology-based activity; and listen to and evaluate the views of others.

Problem-solving Skills identify critical issues in the discipline or professional area; conceptualise problems and formulate a range of solutions; work effectively with others; and find, acquire, evaluate, manage and use relevant information in a range of media.

Global Perspective demonstrate an awareness of the local and global context of the ICT discipline or professional area; and function in a multicultural or global context

Social Responsibility acknowledge the social and ethical implications of their actions; appreciate the impact of social change; be committed to access and equity principles in the ICT discipline or professional area, and society in general; and demonstrate responsibility to the local community, and society generally.

Alterations to the unit as a result of student feedback

From 2014 to 2020 this unit was co-taught with KMA155 Discrete Mathematics with Applications, with the same learning experiences but differently weighted assessment. In order that a student could take both units and gain useful, distinct skills from each, the two units were split last year, with the following key changes to KIT103:

Some reduction in foundational (‘theoretical’) mathematical topics and increased emphasis on applications, particularly to the understanding and testing of computer code

No test-based assessment: the three 20% in-semester tests and 10 small assignments have been replaced by four 15% assignments combining on-paper maths and in computer programming exercises and a final project, comprising tasks that integrate the various skills taught and a reflective piece summarising your learning in the unit

Simplified teaching pattern: three 50-minute lectures rigidly split into two on maths and one on applications are now a single 2-hour timeslot that will vary the focus on mathematics or applications as required; the 50-minute mathematics tutorial and 50-minute computer lab are now a single 2-hour block, with the split between on-paper maths practice and tasks on the computer varied as needed.

These changes were well-received by students and so have been maintained this year.

UNIT ASSESSMENT                                                                                                                 

Assessment Pattern

100% in-semester

Assessment Summary

ComponentWeightDue Date
A1: Sets and Functions15%2355 Friday 12 August (end Week 5)
A2: Boolean Algebra and Conditional Program Logic15%2355 Friday 26 August (end Week 7)
A3: Combinatorics15%2355 Friday 16 September (end Week 9)
A4: Fun with Numbers15%2355 Friday 30 September (end Week 11)
Project & Portfolio40%2355 Friday 14 October (end Week 13)

Assessment Items

Item 1           Title: A1: Sets and Functions

Type: In-Semester – individual assignment

Task Length: 1-2 pages maths answers + 1 Python source file

Weighting: 15%

Links to Learning Outcomes: 1, 2, 4

Due: 2355 Friday 12 August (end Week 5)

How To submit: Upload digitised maths answers and Python source file to the assignment folder on MyLO

Description: Complete maths and programming exercises related to sets, and design test cases to test the operation of provided code.

For all assignments, the maths components may be either PDF scans/photographs of handwritten answers (preferred) or typeset answers (using Word or LaTeX). Guidance for digitising your work is available in the Assessment content section.

Item 2      Title: A2: Boolean Algebra and Conditional Program Logic

Type: In-Semester – individual assignment

Task Length: 2-3 pages maths answers + 1 Python source file

Weighting: 15%

Links to Learning Outcomes: 1, 2, 4

Due: 2355 Friday 26 August (end Week 7)

How To submit: Upload digitised maths answers and Python source file to the assignment folder on MyLO Description: Complete maths and programming exercises related to Boolean algebra, functions that make decisions, K-maps, and bitsets. See the assessment specification for more information.

Item 3       Title: A3: Combinatorics

Type: In-Semester – individual assignment

Task Length: 2-3 pages maths answers + 1 Python source file

Weighting: 15%

Links to Learning Outcomes: 1, 2, 3, 4

Due: 2355 Friday 16 September (end Week 9)

How To submit: Upload digitised maths answers and Python source file to the assignment folder on MyLO Description: Complete maths and programming exercises related to permutations and combinations. See the assessment specification for more information.

Item 4       Title: A4: Fun with Numbers

Type: In-Semester – learning tasks

Task Length: 2-3 pages maths answers + 1 Python source file

Weighting: 15%

Links to Learning Outcomes: 1, 2, 4

Due: 2355 Friday 30 September (end Week 11)

How To submit: Upload digitised maths answers and Python source file to the assignment folder on MyLO Description: Complete maths and programming exercises related to number systems, primes and secret codes. See the assessment specification for more information.

Item 5           Title: Project & Portfolio

Type: In-Semester – individual project

Task Length: 3-4 pages maths working + 1-3 Python source files + 2-4 page reflection document

Weighting: 40%

Links to Learning Outcomes: 1-4

Due: 2355 Friday 14 October (end Week 13)

How To submit: Upload digitised maths answers, Python source file(s) and any other additional documentation to the assignment folder on MyLO

Description: Demonstrate the application of your skills to a more substantial problem, integrating (mathematical) planning, implementation and testing.

Reflect on your progress in the unit with reference to the skills development assignments and small case studies in the project. See the assessment specification for more information.

See the ‘Assessment’ section in unit website for more detailed information about assessment items.

How your Final Grade will be determined

To pass this unit, you need to demonstrate your attainment of each of the Intended Learning Outcomes, achieve a final unit grade of 50% or greater, and pass any hurdle tasks.

  UNIT RESOURCES                                                                                                                 

Unit Web Site

This unit is Web Dependent: content & communication. This means that you will need to use the Web for this unit. The unit website contains unit information and resources.

MyLO is the online learning environment at the University of Tasmania. This is the system that will host the online learning materials and activities for this unit.

It is important that you are able to access and use MyLO as part of your study in this unit. To find out more about the features and functions of MyLO, and to practice using them, visit the Getting Started in MyLO unit.

For access to information about MyLO and a range of step-by-step guides in pdf, word and video format, visit the MyLO Student Support page on the University website.

The unit website is accessed from You will need to use your university email account username and password to log on to the MyLO system. Once authenticated by the system your personalised MyLO Learning Online area will be displayed. It contains links to the websites that you have permission to access – including the website for this unit.

Prescribed Text



Fundamentals of Discrete Math for Computer Science: A Problem-Solving Primer, Tom Jenkyns, Ben Stephenson


The software that you will need to access the unit website and to study this unit, including general purpose software such as word processors, is provided on the computers in the computing labs. If you intend to use software on other computers please check that the versions are compatible.

The programming component of the unit will use the Anaconda scientific computing platform, which incorporates

Python 3.9 and several software libraries we will use during semester (NumPy, SciPy and matplotlib): All exercises and programming assignments require Python 3.

As we will explore the use of IPython Notebooks you should also install the spyder-notebook plugin.

One (non-assessed) practical activity will make use of the matplotlib-venn package, which can be installed later:

Most of the time you will use the Spyder development environment, which is part of Anaconda. It is normally installed at the same time as Anaconda. Details on how to start it are available at:


Other Resources

While developing in Python you may at times wish to refer to the Python 3 documentation, available at

GENERAL RESOURCES                                                                                                                 

School Website

School of ICT, Syndicate of Technology, Environments and Design – College of Sciences and Engineering

College Website

Information and Resources for College of Sciences and Engineering students are available on the College website at:

University Website

Information and Resources for ‘Current Students’ are available on the university website at:

IT Help

For all queries or problems with accessing, using, or printing from the computers in the School of ICT, please contact the University IT Service Desk – (please see for opening times):

Self-Service Portal (preferred):;

Face-to-face assistance (weekdays only): Entrance Level, Morris Miller Library, Sandy Bay Campus;

Face-to-face assistance (weekdays only): Entrance Level, Launceston Campus Library, Newnham Campus. Telephone: 6226 2600.

Computing Facilities

The School of ICT has PC labs, Mac labs, and special purpose Networking labs at the Newnham and Sandy Bay campuses. All students are provided with logins for Windows, Macintosh and Unix environments. If you have not used these facilities before and need assistance please contact the University IT Service Desk. Information about after-hour access to labs may be discussed by your Unit Coordinator.

In Hobart, there are 4 PC Labs, a Mac Lab, and two Networks Labs in the Centenary Building, along with other dedicated ICT labs in other buildings on campus. In Launceston, there are 3 PC Labs, two Mac Labs, and two Networks Labs in Building V.

Use of Facilities

Use of facilities provided by the School of ICT is subject to the University’s procedure on Information, communication, and technology services and facilities use, details of which can be found in Use of ICT Services, Facilities and Infrastructure Procedure.

The facilities may only be used for study-related purposes, and may not be used for personal gain. Anti-social behavior in labs such as game playing, viewing pornography, loud discussion, audio without the use of head-phones, etc is strictly prohibited in all labs at all times. Eating, drinking, and smoking is not permitted in the labs. Disciplinary action may be

taken against students who violate the guidelines.

Learning Strategies

If you need assistance in preparing for study please refer to your tutor or lecturer. The University also provides a range of face-to-face and online services to help equip students with the academic and literacy skills that they need to undertake their study. These services are in addition to the support you receive in each unit from unit coordinators, lecturers and tutors. For details of additional services such as workshops, individual consultation for learning advice, and peer assisted learning opportunities, please visit the Study Support page.

The University also provides free access to Studiosity, 24/7 online study help for all UTAS students, enabling them to get feedback on written work within 24 hours or chat live with a subject specialist anywhere and anytime.

If you will be using MyLO for the first time and would like some information on how to use MyLO refer to the following website:

Some of the units you will study use videoconferencing to deliver lectures and tutorials. To enable you to get the best out of a videoconference please refer to the following guide:

Help resolving concerns about this unit

In the first instance you should contact your lecturer. If the matter is not resolved then you should contact the Head of School. If the matter is still unresolved and you would like to know who to contact or the procedures for resolving your concern refer to the following website:

The Tasmanian University Union (TUU) may also be able to assist.

The School reserves the right to alter the details contained in this Unit Outline. Students will be advised of changes to the outline via their University email account and it remains the responsibility of the student to check their email for such changes.

Safety and Wellbeing

The University is committed to providing a safe and secure teaching and learning environment. In addition to specific requirements of this unit you should refer to the University’s Safety and Wellbeing website – and policy.

The University recognises that hazard identification, risk assessment and controls are a critical part of everyday work. Prior to commencing any laboratory and/or field activity on or off campus in this unit you are required to:

identify hazards – find out what could cause harm

assess risks if necessary – understand the nature of the harm that could be caused by the hazard, how serious the harm could be and the likelihood of it happening

control risks – implement the most effective control measure that is reasonably practicable in the circumstances review control measures to ensure they are working as planned.

A formal Risk Assessment must be completed as part of any project proposal/plan prior to commencing any practical activities. Your supervisor will assist you in identifying potential hazards and assessing risks for your project and will assist you with sign off on any documentation.

Use the Risk Assessment template contained within the UTAS Project and Task Risk Management Minimum Standard. A word version of this form is available from the UTAS WHS webpage and in MyLO. Note that risk assessments (RA) are not required for activities that are considered routine and a current Safe Work Procedure (SWP) is already in place to manage the project/task.

For additional advice and assistance see the local WHS Contact or Health and Safety Representative (HSR) within your School/Institution, and/or consult with other staff.

GENERAL ASSESSMENT                                                                                                                 

Approach to Learning

The University is committed to high standards of professional conduct in all activities, and holds its commitment and responsibilities to its students as being of paramount importance. Likewise, it holds expectations about the

responsibilities students have as they pursue their studies within the special environment the University offers.

The University is committed to providing a safe, supportive, and healthy environment for all members of our community.

You are expected to spend about 130 hrs studying in this unit – this includes attendance at scheduled teaching sessions. (For a 13 week semester this is, on average, 10 hr/wk.) This is the amount of study time that the ‘typical’ student will

need to reach the level of competence and understanding required to fulfil the unit objectives. You are expected to:

attend all scheduled teaching sessions, unless otherwise notified by the unit coordinator prepare for, and actively participate in all scheduled teaching sessions

complete the assigned learning tasks review what has been learnt

complete assessment items and submit them on time

access and be familiar with the information and resources available on the unit website seek help from teaching staff if you have any questions or difficulties in studying this unit

You are encouraged to read the university’s Behaviour Policy. accountability/6.4-Behaviour-Policy

It is expected that students will familiarise themselves with access and use of the MyLO system operated by the University for the electronic delivery of course materials, and for various forms of communication.

It is expected that students will consult email sent to their University email address at least twice a week for notices relating to the administration of the unit, and for notification of the results of assignments.

It is expected that students will read the background material specified in the course curriculum, will actively attend and participate in tutorials, and be prepared to discuss relevant issues arising with tutors, lecturers and fellow students.

Student Expectations of the Unit

Students enrolled in this Unit may reasonably expect the following:

  1. To be able to contact a lecturer or tutor by electronic mail, to raise issues arising in the unit, either relating to content or student performance within the unit.
  2. Subject to availability, to be able to discuss such issues in person with the lecturer or tutor.
  3. That assignments will be marked and the marks will normally be returned within 3 weeks of due dates.
  4. That all relevant notices regarding the administration of the unit, including any necessary changes, will be communicated to all students enrolled in the unit via email.

These expectations are in addition to those specified in relevant University regulations.

Academic integrity

What is academic integrity?

At the University of Tasmania, academic integrity requires all students to act responsibly, honestly, ethically, and collegially when using, producing, and communicating information with other students and staff members. The University community is committed to upholding the Statement on Academic Integrity.

Breaches of academic integrity such as plagiarism, contract cheating, collusion and so on are counter to the fundamental values of the University. A breach is defined as being when a student:

  1. fails to meet the expectations of academic integrity; or
    1. seeks to gain, for themselves or for any other person, any academic advantage or advancement to which they or that other person is not entitled; or
    1. improperly disadvantages any other member of the University community.

The University and any persons authorised by the University may submit your assessable works to a text matching service, to obtain a report on possible breaches such as plagiarism or contract cheating. Substantiated breaches can result in a range of sanctions which are outlined in the Student Academic Integrity Ordinance.

More information is available from the Academic Integrity site for students on the Student Portal.

The University and any persons authorised by the University may submit your assessable works to a text matching service, to obtain a report on possible instances of plagiarism or contract cheating.

Academic Integrity Training Module

As part of the University’s educative approach to academic integrity, there is a short Academic Integrity Training Module that all students are required to complete.

Completion of the module allows you to demonstrate your understanding of what constitutes a breach of academic integrity.

All commencing students (pre-degree through to higher degree by research) are required to complete the Academic Integrity module available through MyLO. If you do not complete this module your final unit results will be withheld. You should aim to complete the module within the first few weeks of commencing study at the University.


In your written work you will need to support your ideas by referring to scholarly literature, works of art and/or inventions. It is important that you understand how to correctly refer to the work of others and maintain academic integrity.

Failure to appropriately acknowledge the ideas of others constitutes a breach of academic integrity

The University library provides information on presentation of assignments, including referencing styles and should be referred to when completing tasks in this unit.

For further information, see the Academic Integrity site for Students on the Student Portal.

In programs you write: If you are guided to a solution by a particular website, include a link to that site in the comment at the top of your program and indicate which parts of your solution are based on its content. Note that you do not need to reference code that has been provided in lectures or tutorials.


The details of the submission method (paper, electronic or other) for each assignment will be supplied in a separate

assignment specification sheet. The act of submitting your assignment will be taken as certification that it is your own work.

Students must take responsibility for the correct submission of their work, including ensuring that all items required by

the task specification are submitted in the correct format. Students are expected to adhere to the following procedure for submission:

Submitted files must be checked by the student to ensure that correct submission of the file has been undertaken. For those items submitted close to their due date and time, students are expected to notify the Unit Coordinator within two hours of submission if their files have not been submitted correctly.

Students must take responsibility for safely backing up of their own files during the academic year to ensure that no files are permanently lost.


Assignments submitted after the deadline will receive a late penalty of 5% (of the original available mark) for each calendar day (or part day) that the assignment is late. Late submissions will not be accepted more than 10 calendar days after the due date, or after assignments have been returned to other students, whichever is shorter.

A request for an extension to the due date for an assessment task should be made in writing and submitted to the Unit Coordinator THREE (3) days before the assignment due date. Independent documentation (medical certificate, counsellor’s report, etc.) in support of the application should be attached to the form OR a current Learning Access Plan may be used as supporting documentation, as appropriate.

Please see the University’s Assessments and Results Procedure 2022 for the extension request procedure.

Review of Assessment and Appeals

For processes guiding the review and appeal of University academic decisions (related to credit, assessment, final unit grades, progress status and special consideration) see the Review and Appeal of Academic Decisions Procedure.

Concerns and Complaints

The University is committed to providing an environment in which any concerns and complaints will be treated seriously, impartially and resolved as quickly as possible. We are also committed to ensuring that a student may lodge a complaint without fear of disadvantage. In the first instance, students are encouraged (where appropriate) to attempt to resolve

their concerns at a local level, by contacting their Unit Coordinator.

If you have a concern please contact the Unit Coordinator in the first instance. If you are unable to have your concern addressed by the Unit Coordinator please contact the ICT Degree Coordinator Team for further assistance. If, after consulting with the ICT Degree Coordinator Team, your concern still has not been addressed you can contact the ICT Learning and Teaching Lead or the Head of School.

It is expected that students will adhere to the following policy for making any complaint or grievance directly related to a Unit:

  1. In the first instance, students are to approach the Lecturer or Unit Coordinator concerned and arrange a time to speak with them about their concern.
  2. If an issue remains unresolved, the student should approach the ICT Degree Team and arrange a time to speak with them about their concern.

If the School’s internal policy of complaints is unable to resolve an issue, students can seek further information on the assistance available on the Complaints and Concerns – Safe and Fair Community Unit page.

Final Grade

Passing grades will be awarded based on the AVCC guidelines:

PP at least 50% of the overall mark but less than 60% CR at least 60% of the overall mark but less than 70% DN at least 70% of the overall mark but less than 80% HD at least 80% of the overall mark

In accordance with the University of Tasmania’s Assessment Policy, marks that students obtain may be adjusted either upwards or downwards if an issue with an offering is identified.

Further information and assistance

If you are experiencing difficulties with your studies or assignments, have personal or life-planning issues, disability or illness which may affect your course of study, you are advised to raise these with the unit coordinator in the first instance. There is a range of University-wide support services available to you including:

Student Advisers ( Disability Services (

Library assistance (

Financial support (

and more which can be found on the Study Support page ( and Safety,

Health and Wellbeing pages ( from the Current Students portal ( of the University website.

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