University of Otago
Dunedin, New Zealand
Area of Study
Taught In English
Course Level Recommendations
ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.
Recommended U.S. Semester Credits3 - 4
Recommended U.S. Quarter Units4 - 6
Hours & Credits
An introduction to modern AI representation systems and problem-solving techniques.
There are two lectures per week, plus weekly lab or tutorial sessions.
In the first part of the paper we will look at some different definitions of intelligence and at the concept of intelligent agents. As a way of focusing on the hard problems to be solved in AI, we will do some practical work with LEGO robots, concentrating on the issue of how to get information about the world and how to make use of it. In the second part of the paper, we will consider techniques for machine learning and probabilistic reasoning. Almost every human ability results from learning from experience: we will look at how these learning processes can be modelled computationally. Topics to be considered include:
- Decision trees
- Genetic algorithms
- Neural networks
- Bayesian networks and Bayesian reasoning
- Probabilistic reasoning over time
- Dynamic Bayesian networks
- Hidden Markov models
- Statistical learning methods
- Two assignments 28%
- Participation in tutorials and tutorial exercises 12%
- Final exam 60%
- Students will gain an understanding of some of the core concepts in symbolic AI research: autonomous agents, planning and search, logical knowledge representation formalisms, grammars for representing knowledge of natural language
- Students will gain an understanding of some of the core concepts in sub-symbolic AI research: sensory perception, motor control, machine learning, decision trees, neural networks
- In each case, this understanding will be strengthened through practical exercises and experience with implemented systems
-The paper will also give students an awareness of the increasing influence of these technologies in daily life
Artificial Intelligence A Modern Approach (Third Edition) , by Stuart Russell and Peter Norvig, Prentice Hall 2010.
Courses and course hours of instruction are subject to change.
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Credits earned vary according to the policies of the students' home institutions. According to ISA policy and possible visa requirements, students must maintain full-time enrollment status, as determined by their home institutions, for the duration of the program.
Please reference fall and spring course lists as not all courses are taught during both semesters.
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Please note that some courses with locals have recommended prerequisite courses. It is the student's responsibility to consult any recommended prerequisites prior to enrolling in their course.