COSC420-13S1 (C) Semester One 2013

Intelligent Tutoring Systems

0.1250 EFTS
18 Feb 2013 - 23 Jun 2013


This course addresses the use of artificial intelligence to create computer-based intelligent tutoring systems.

This course addresses the use of Artificial Intelligence to create computer-based Intelligent Tutoring Systems (ITSs). Students will learn data-driven and theoretical methods for creating ITSs. ITSs have been demonstrated to dramatically enhance student learning in many domains, including, to name a few, mathematics, computer science, medicine, linguistics, engineering. In addition to discussion and readings about methods and models of problem solving, learning, and tutor design, the course will have a "learning by doing" component.

Learning Outcomes

University Graduate Attributes

This course will provide students with an opportunity to develop the Graduate Attributes specified below:

Critically competent in a core academic discipline of their award

Students know and can critically evaluate and, where applicable, apply this knowledge to topics/issues within their majoring subject.


Subject to approval of the Head of Department.

Streams Day Time Where Notes
Stream 01 Monday 3:00pm-5:00pm Erskine 235 18 Feb - 31 Mar,
22 Apr - 2 Jun

Timetable Note

400-level timetable and room numbers will be advised the week before lectures start.

Course Coordinator / Lecturer

Tanja Mitrovic


Dr Bruce McLaren (Carnegie Mellon University)


Assessment Due Date Percentage 
Assignment One 15%
Assignment Two 30%
Review of Papers and Participation 10%
Exam 45%

Examination and Formal Tests

Exam Wednesday 19 Jun 2013 9:30am-11:30am  


Reading list

Indicative Fees

Domestic fee $847.00

* Fees include New Zealand GST and do not include any programme level discount or additional course related expenses.

For further information see Computer Science and Software Engineering.

All COSC420 Occurrences

  • COSC420-13S1 (C) Semester One 2013