Key facts
UNE unit code: COSC350
*You are viewing the 2025 version of this unit which may be subject to change in future.
- Trimester 2 - On Campus
- Trimester 2 - Online
- Armidale Campus
- Yes
- No
- No
- 6
Unit information
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Artificial intelligence (AI) is a rapidly evolving branch of Computer Science that deals with intelligent behaviour, learning and adaptation in machines. From the fields of speech recognition, to machine translation and robotics, AI has contributed to state-of-the art technology and is a key focus for future research and development.
This unit introduces you to a range of foundational areas in AI. The unit will help you to develop AI problem solving skills with broad applications to computational problems.
Topics include intelligent agents, classical and heuristic search strategies, evolutionary algorithms, probability and Bayesian inference, and basic machine learning concepts.
With a series of engaging practicals and programming assignments you will be ready to demonstrate technical capabilities that can help you to stand out in your career.
Offerings
For further information about UNE's teaching periods, please go to Principal Dates.
Teaching period | Mode/location |
---|---|
Trimester 2 | On Campus, Armidale Campus |
Trimester 2 | Online |
*Offering is subject to availability
Intensive schools
There are no intensive schools required for this unit.
Enrolment rules
Notes
Students must have access to a Java, Python, C++ or R compiler/environment and know how to program in at least one of these languages.
Please refer to the student handbook for current details on this unit.
Unit coordinator(s)
Learning outcomes
Upon completion of this unit, students will be able to:
- explain the history and foundations of artificial intelligence;
- analyse problem specifications and derive appropriate solutions for them;
- map solutions to selected artificial intelligence algorithms; and
- design and implement solutions in a high-level programming language.
Assessment information
Assessments are subject to change up to 8 weeks prior to the start of the teaching period in which you are undertaking the unit.
Title | Must Complete | Weight | Offerings | Assessment Notes |
---|---|---|---|---|
Assessment 1 | Yes | 15% | All offerings | Practical problem solving assignment. All assessment tasks must be attempted. |
Assessment 2 | Yes | 15% | All offerings | Practical problem solving assignment. All assessment tasks must be attempted. |
Assessment 3 | Yes | 20% | All offerings | Implement the solution to a computational problem in a high-level programming language, preferably R. All assessment tasks must be attempted. |
Final examination | Yes | 50% | All offerings | It is mandatory to pass this component in order to pass the unit. |
Learning resources
Textbooks are subject to change up to 8 weeks prior to the start of the teaching period in which you are undertaking the unit.
Note: Students are expected to purchase prescribed material. Please note that textbook requirements may vary from one teaching period to the next.
Artificial Intelligence: A Modern Approach, Global Edition
ISBN: 9781292401133
Russell, S. and Norvig, P., Pearson Education Ltd 4th Ed 2021
Text refers to: All offerings
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