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Algorithms for Artificial Intelligence
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ITECH2500 - Algorithms for Artificial Intelligence
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20260200
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2026
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/ords/r/dev/fed_occ/course?p6_code=ITECH2500&p0_catalogue_year=2026&p0_catalogue_term=0600
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2.2
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2026-06-16
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2026-06-16
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Information Technology
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Institute of Innovation, Science & Sustainability
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Information Technology
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Undergraduate
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15
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.125
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020119
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Artificial Intelligence
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<a href="http://www.federation.edu.au/locate/unit/itech2500">020119 - Artificial Intelligence</a>
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Graded (e.g. HD, D, C, etc)
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7
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Bachelor Degree
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Intermediate
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1
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<p>This unit provides you with an introduction to artificial intelligence and its relationship to other disciplines. You will be looking at the historical and contemporary contexts, and considering future trends. Whilst delving into the different forms of machine learning approaches, there is an emphasis on knowledge representation, automated reasoning, predictive modelling and problem solving.</p>
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<p>Topics may include:</p>
<p>1. History and philosophy behind artificial intelligence;</p>
<p>2. Conditional probability and associated theorems</p>
<p>3. Knowledge representation, and reasoning - including reasoning with uncertainty;</p>
<p>4. Machine learning - overview, development processes and tools</p>
<p>5. Supervised and semi-supervised learning</p>
<p>6. Dimension reduction, clustering and unsupervised learning;</p>
<p>7. Introduction to Neural networks and deep learning</p>
<p>8. Reinforcement learning</p>
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<p>Where supplementary assessment is available a student must have failed overall in the Unit but gained a final mark of 45 per cent or above, has completed all major assessment tasks (including all sub-components where a task has multiple parts) as specified in the Unit Description and is not eligible for any other form of supplementary assessment.</p>
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ITECH2500 - Algorithms for Artificial Intelligence
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ITECH2500 - Algorithms for Artificial Intelligence
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Overview
Key information
Requisites
Learning outcomes
Assessment
FedTASK
Parent Region
Overview
Unit description
<p>This unit provides you with an introduction to artificial intelligence and its relationship to other disciplines. You will be looking at the historical and contemporary contexts, and considering future trends. Whilst delving into the different forms of machine learning approaches, there is an emphasis on knowledge representation, automated reasoning, predictive modelling and problem solving.</p>
Unit content
<p>Topics may include:</p> <p>1. History and philosophy behind artificial intelligence;</p> <p>2. Conditional probability and associated theorems</p> <p>3. Knowledge representation, and reasoning - including reasoning with uncertainty;</p> <p>4. Machine learning - overview, development processes and tools</p> <p>5. Supervised and semi-supervised learning</p> <p>6. Dimension reduction, clustering and unsupervised learning;</p> <p>7. Introduction to Neural networks and deep learning</p> <p>8. Reinforcement learning</p>
Key information
Institute / school:
Institute of Innovation, Science & Sustainability
Discipline:
Information Technology
Study level:
Undergraduate
Credit points:
15
EFTSL:
0.125
Field of education:
<a href="http://www.federation.edu.au/locate/unit/itech2500">020119 - Artificial Intelligence</a>
Offering:
<p><strong>Semester 2</strong><p>Ballarat - Mt Helen (On Campus)</p><p>Berwick (On Campus)</p><p>On-line Learning (Online)</p></p>
Grade scheme:
Graded (e.g. HD, D, C, etc)
Placement component:
No
Requisites
Prerequisite
<p>must have completed <a href="/ords/r/dev/fed_occ/course?p6_code=<a href="/ords/r/dev/fed_occ/course?p6_code=ITECH1400" target="_blank">ITECH1400</a>" target="_blank"><a href="/ords/r/dev/fed_occ/course?p6_code=ITECH1400" target="_blank">ITECH1400</a></a>/<a href="/ords/r/dev/fed_occ/course?p6_code=MATHS2100" target="_blank">MATHS2100</a> OR must have completed <a href="/ords/r/dev/fed_occ/course?p6_code=<a href="/ords/r/dev/fed_occ/course?p6_code=ITECH1400" target="_blank">ITECH1400</a>" target="_blank"><a href="/ords/r/dev/fed_occ/course?p6_code=ITECH1400" target="_blank">ITECH1400</a></a>/MATHS1005</p>
Corequisite
None
Exclusion
<p>must not have completed 1 of ITECH6111/<a href="/ords/r/dev/fed_occ/course?p6_code=ITECH2111" target="_blank">ITECH2111</a>/<a href="/ords/r/dev/fed_occ/course?p6_code=ITECH7001" target="_blank">ITECH7001</a></p>
Learning outcomes
Learning outcomes
<p>On successful completion of this unit, students are expected to gain the following [K]nowledge, [S]kills and [A]pplication of knowledge & skills</p>
Learning Outcomes
Ref
Outcome
K1
<p>Identify and explain a range of Artificial Intelligence algorithms and methodologies for solving complex problems;</p>
K2
<p>Explain how to design and deploy artificial intelligence so as to produce beneficial and equitable outcomes for society.</p>
K3
<p>Interpret AI model outcomes and devise alternative approaches when needed </p>
S1
<p>Represent knowledge using different techniques to solve complex problems;</p>
S2
<p>Select, set up and apply appropriate algorithmic approaches for solving a variety of complex problems and real world situations;</p>
S3
<p>Apply abstract data models appropriate for a range of Artificial Intelligence solutions;</p>
S4
<p>Interpret, compare and report on algorithm performance in different contexts.</p>
A1
<p>Demonstrate initiative and judgement in adapting algorithms to unique and diverse contexts;</p>
A2
<p>Review and interpret appropriate developments in Artificial Intelligence.</p>
Assessment
Learning Tasks and Assessment
Ref
Learning task
Assessment type
Weighting
Learning outcomes assessed
1
<p>Weekly tasks including: quizzes; discussion of ideas; and recording a journal on how to solve problems using AI techniques.</p>
<p>Journal, forum, quizzes and/or exercises</p>
<p>20% - 40%</p>
K1, K2, S1, S2, S3
2
<p>Students will conduct research to select a small set of algorithms, design a suitable knowledge representation and data abstraction, and setup and apply the algorithms on a complex problem. Students will conduct experiments and write a report justifying their choices, as well as interpreting and comparing the algorithms.</p>
<p>Practical works and reports</p>
<p>50% - 70%</p>
K2, K3, S1, S2, S3, S4, A1
3
<p>Students will present the findings made during execution of their projects, justify choices made, explain problems encountered and limitations of their experiments.</p>
<p>Presentations and/or oral test</p>
<p>10% - 30%</p>
S1, S2, S3, S4, A1, A2
Supplementary assessment available:
Yes
Supplimentary assessment information:
<p>Where supplementary assessment is available a student must have failed overall in the Unit but gained a final mark of 45 per cent or above, has completed all major assessment tasks (including all sub-components where a task has multiple parts) as specified in the Unit Description and is not eligible for any other form of supplementary assessment.</p>
FedTASK
FedTASK
<p>Federation University recognises that students require key transferable employability skills to prepare them for their future workplace and society. FedTASKs (<strong>T</strong>ransferable <strong>A</strong>ttributes <strong>S</strong>kills and <strong>K</strong>nowledge) provide a targeted focus on five key, transferable Attributes, Skills, and Knowledge that are embedded within curriculum, developed gradually towards successful measures and interlinked with cross-discipline and co-operative learning opportunities.</p>
FedTASK
Description of FedTASK outcome
Level
FedTASK 1: Interpersonal
The ability to effectively communicate, interact and work with others both individually and in groups.
<p>Level 2 - Student demonstrates some independence within provided guidelines</p>
FedTASK 2: Leadership
The ability to apply professional skills and behaviours in leading others.
<p>Level 2 - Student demonstrates some independence within provided guidelines</p>
FedTASK 3: Critical Thinking and Creativity
The ability to work in complexity and ambiguity using imagination to create new ideas.
<p>Level 2 - Student demonstrates some independence within provided guidelines</p>
FedTASK 4: Digital Literacy
The ability to work fluently across a range of tools and applications to achieve a range of skills.
<p>Level 2 - Student demonstrates some independence within provided guidelines</p>
FedTASK 5: Sustainable and Ethical Mindset
The ability to consider and assess the consequences and impact of ideas and actions in enacting ethical and sustainable decisions.
<p>Level 2 - Student demonstrates some independence within provided guidelines</p>
Key information
Institute / school:
Institute of Innovation, Science & Sustainability
Discipline:
Information Technology
Study level:
Undergraduate
Credit points:
15
EFTSL:
0.125
Field of education:
<a href="http://www.federation.edu.au/locate/unit/itech2500">020119 - Artificial Intelligence</a>
Offering:
<p><strong>Semester 2</strong><p>Ballarat - Mt Helen (On Campus)</p><p>Berwick (On Campus)</p><p>On-line Learning (Online)</p></p>
Grade scheme:
Graded (e.g. HD, D, C, etc)
Placement component:
No
Disclaimer
<em>Information in the Federation Handbook is correct at the time of publication. The University reserves the right to alter any course, unit, procedure or fee.</em>
Additional information
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Internal reference: ITECH2500 - U2.2