Key facts

Course details for 2006 cohort
Level 3  -  30 credits  -  autumn term

E-learning links

Study Direct: C1118 (09/10)

Resources

Timetable Link

Course description

Course outline

The course will develop an understanding of what it means for an animal or a machine to behave intelligently, and how brain and behavioural systems are adapted to enable an animal to cope effectively within its environment. We consider diverse aspects of intelligence including navigation and motor control, numerical, language, memory and social skills. We ask how these are related to one another and how they are matched to the particular needs of animals and machines.

Pre-requisite

There are no specific prerequisites for this course.

Learning outcomes

By the end of the course, a successful student should be able to:
1. Demonstrate an understanding of the meanings of the term `intelligence¿, and an ability to critically evaluate experimental data and theoretical concepts in the field.
2. Synthesise research in animal cognition and the engineering of artificial intelligence and argue how these disciplines might inform one another.
3. Present written and verbal accounts of specific aspects of the course subject matter based on independent reading of the primary scientific and engineering literature.

Assessments

View old exam papers

Timing

Submission deadlines may vary for different types of assignment/groups of students.

Weighting

Coursework components (if listed) total 100% of the overall coursework weighting value.

Teaching methods

How to read the week pattern

The numbers indicate the weeks of the term and how many events take place each week.

Contact details

Dr Paul Graham

Assess convenor, Convenor
http://www.sussex.ac.uk/biology/profile91528.html