ITD102 Introduction to Computer Systems


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Unit Outline: College 2 2027, Kelvin Grove, Internal

Unit code:ITD102
Credit points:12
Equivalent:IFB102
Disclaimer - Offer of some units is subject to viability, and information in these Unit Outlines is subject to change prior to commencement of the teaching period.

Overview

This is an introductory computer science unit concerning computer systems, in particular how modern computer systems work, how they are structured, and how they operate. Computer systems are ubiquitous and yet they are unlike any other man-made product or system; they appear magical and are notoriously difficult to work with and manage in projects. This unit’s goal is to demystify computer systems so you can appreciate, understand and utilise computer systems in their subsequent learning, and effectively participate in the IT industry. You will study computers, networks, operating systems and the Web. Raspberry Pi computers will be used throughout the unit and at the end you will build your own small computer system using a Raspberry Pi.

Learning Outcomes

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

  1. Explain different aspects of computer systems (hardware, software and networks), including their structure and operation, and security
  2. Configure and manage computer systems to perform specific tasks and troubleshoot IT problems.
  3. Use information literacy skills to conduct and explain computer systems research
  4. Design and build basic computer systems using a variety of technology tools, techniques and resources.

Content

In this unit you will learn about computers, networking and the web from different perspectives, including:

  1. Evolutionary: how has technology evolved? What are computer systems today? What are the trends and how might we understand and predict future developments.
  2. Practical:How do computer systems work and how can we interact with them to understand and use them?
  3. Conceptual:What are the fundamental aspects of computers, networks and the web?

Learning Approaches

This unit takes a blended approach to learning and teaching. You will be provided with both eContent and timetabled classes such as lectures and tutorials. eContent could include videos, readings and/or other activities designed to enhance your learning experience. During the timetabled activities, the unit coordinator and/or your tutor will further explain content and you will be provided with opportunities to explore this content in a collaborative learning environment. Practical sessions will provide an interactive and participatory forum where you will undertake practical problem solving using different computer technologies, and interact with peers and a tutor. Projects will allow you to undertake a deeper study into a mix of computer technologies. Educational technologies, such as the Raspberry Pi computer, will be used to support your understanding of computer technologies, system architecture and applications.

Feedback on Learning and Assessment

You will receive feedback in various forms throughout the semester which may include:

  • Informal: worked examples, such as verbal feedback in class, personal consultation
  • Formal: in writing, such as checklists, rubrics, written commentary
  • Direct: to individual students, either in written form or in consultation
  • Indirect: to the whole class

Assessment

Overview

Assessment in this unit will comprise practical exercises undertaken throughout the semester, a structured investigation question that you will research and an open-ended project in which you will design a set of different computer technologies configured for a novel purpose. 

 

Unit Grading Scheme

7- point scale

Assessment Tasks

Assessment: Practical Demonstrations

You will complete weekly practical exercises that will be assessed during classes. You will have incremental deadlines throughout the semester to provide feedback as to your learning progress.

The ethical and responsible use of generative artificial intelligence (GenAI) tools is authorised in this assessment. See the relevant assessment details in Canvas for specific guidelines.

Weight: 30
Length: 2-3 pages per exercise
Individual/Group: Individual
Due (indicative): Weekly assessment from weeks 2 - 12
Related Unit learning outcomes: 1, 2

Assessment: Further Investigation Question

For this assessment item, you will select a topic from the unit to research. You will research the topic, and give an in-person presentation in class to:

  • Explain what you learned,
  • Tell the story of your learning journey, and
  • Answer questions from your assessor and fellow students.

The ethical and responsible use of generative artificial intelligence (GenAI) tools is authorised in this assessment. See the relevant assessment details in Canvas for specific guidelines.

Weight: 30
Length: 5 minutes + Q&A
Individual/Group: Individual
Due (indicative): You will present on your chosen topic (once) between Weeks 3 and 12. Topic selection and Assessment class sign up will occur in Week 1.
Related Unit learning outcomes: 1, 3

Assessment: Project (applied)

You will undertake a project comprising the design / construction / configuration of a small novel computer system using a mixture of computer technologies. There will be project checkpoints in Weeks 10 and 11 to informally assess your progress. You will demonstrate your completed project in class between Weeks 12- 13.

The ethical and responsible use of generative artificial intelligence (GenAI) tools is authorised in this assessment. See the relevant assessment details in Canvas for specific guidelines.

Weight: 40
Length: 4-5 minute oral, in-class demonstration + Q&As
Individual/Group: Individual
Due (indicative): Week 13
Related Unit learning outcomes: 1, 2, 4

Academic Integrity

Academic integrity is a commitment to undertaking academic work and assessment in a manner that is ethical, fair, honest, respectful and accountable.

The Academic Integrity Policy sets out the range of conduct that can be a failure to maintain the standards of academic integrity. This includes, cheating in exams, plagiarism, self-plagiarism, collusion and contract cheating. It also includes providing fraudulent or altered documentation in support of an academic concession application, for example an assignment extension or a deferred exam.

You are encouraged to make use of QUT’s learning support services, resources and tools to assure the academic integrity of your assessment. This includes the use of text matching software that may be available to assist with self-assessing your academic integrity as part of the assessment submission process.

Breaching QUT’s Academic Integrity Policy or engaging in conduct that may defeat or compromise the purpose of assessment can lead to a finding of student misconduct (Code of Conduct – Student) and result in the imposition of penalties under the Management of Student Misconduct Policy, ranging from a grade reduction to exclusion from QUT.

Requirements to Study

Costs

As part of this unit you are required to purchase a Raspberry Pi kit. Further details will be provided on your ITD102 Canvas website. 

Resources

Library and web-based information will be used. There is no prescribed text book for this unit. Raspberry Pi computers must be used for some practical work. 

Risk Assessment Statement

There are no out of the ordinary risks associated with this unit. 

Course Learning Outcomes

This unit is designed to support your development of the following course/study area learning outcomes.

ES21 Diploma in Esports

  1. Demonstrate foundational interdisciplinary knowledge relating to esports.
    Relates to: ULO1, ULO3, Practical Demonstrations, Project (applied)

IT10 Diploma in Information Technology

  1. Demonstrate foundational IT theory and skills, including the ethical and responsible use of GenAI, for your practice as a future IT professional.
    Relates to: Practical Demonstrations, Further Investigation Question, Project (applied)
  2. Critically analyse and conceptualise a range of predictable IT challenges and opportunities using problem solving skills to generate, evaluate and justify recommended solutions.
    Relates to: Further Investigation Question, Project (applied)
  3. Communicate professionally and effectively in written, verbal and visual formats to a range of audiences, considering the audience and explaining complex ideas in a simple and understandable manner in a range of IT-related contexts.
    Relates to: Project (applied)
  4. Apply self-reflective, ethical and inclusive approaches to a range of issues impacting the development and use of IT, including how they relate to Aboriginal and Torres Strait Islander peoples, people with a disability and other vulnerable members of society.
    Relates to: Project (applied)