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Science, Engineering and Technology

KXA456

Enrolment
Unit Code
Unit Title
KXA403 Computing in Context
KXA404 Embedded Systems
KXA434 Special Topic 1
KXA435 Special Topic 2
KXA436 Special Topic 3
KXA437 Special Topic 4
KXA452 Advanced Mobile & Ubiquitous Computing
(Not Offered 2010)
KXA453 Advanced Computer Security
KXA455 Advanced Web Data Management
(Not Offered 2010)
KXA456 Computation and Functional Programming
(Not Offered 2010)
KXA457 Machine Learning and Data Mining
(Not Offered 2010)
KXA458 Linux Internals
(Not Offered 2010)
KXA459 Multimedia and Internet Applications
(Not Offered 2010)
KXA461 Advanced Networking
KXA462 Games Programming
KXA463 Intelligent Software Agents
(Not Offered 2010)
KXA464 Introduction to Bioinformatics
(Not Offered 2010)
KXA480 Computing Honours (F/T)
KXA481 Computing Honours (P/T)
KXA482 Computing Honours (P/T)
KXA483 Honours Thesis
KXI413 Information Systems Research Methods
KXI421 Dissertation A
(Not Offered 2010)
KXI422 Dissertation B
(Not Offered 2010)
KXI431 Dissertation A (Full-time)
KXI432 Dissertation B (Full-time)
KXI433 Dissertation A (Part-time)
KXI434 Dissertation B (Part-time)
KXI435 Dissertation C (Part-time)
KXI498 Bachelor of Information Systems with Honours (Part-time)
KXI499 Bachelor of Information Systems with Honours (Full-time)
KXT471 Internet and Web Applications
KXT472 Practical Network Security
KXT473 Advanced C# and .Net Application Development
KXT474 Advanced Topics in Machine Learning and its Applications
(Not Offered 2010)
KXT476 Java Programming for Advanced Topics

2010  KXA456  Computation and Functional Programming

Unit Level:

Available as a Student Elective: No

View timetable of lectures only for this unit.  View ALL timetable events for this unit.

SPECIAL NOTE:  unit is weighted 12.5% for postgraduate courses

OFFERINGS
Not Offered

DESCRIPTION

Aims to investigate the computational aspects of problems using purely functional programming techniques. The first seven weeks of the unit introduces a functional programming language in its application to various algorithmic problems. Students are then required to choose a topic of their own, to investigate that topic using functional techniques, and to formally report their findings. Classes will continue to meet after the seventh week of teaching but only for discussion of techniques needed by students in their project work.

WEIGHT:  12.5%

TEACHING PATTERN: 4-hrs lecture per week

FLEXIBLE & ONLINE STUDY OPTIONS
Note: Class attendance may still be required

   Video conferencing - H,L
A live video link between campuses is used for at least some teaching in this unit
About Flexible Study Options

STAFF: Mr N Holmes

FEES
View fees for this unit

KEY

Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.

Campus - H Hobart, L Launceston, W Burnie. Study Centre - V Sydney, R Rozelle. Distance units may also have a campus identifier of I Isolated, N Interstate, O Overseas. Units delivered in Transnational Education (TNE) Programs have a campus identifier of A Hangzhou, F Fuzhou, G Shanghai, J Indonesia, K KDU Malaysia, Q Kuwait or Z New Zealand.

Special approval is required for enrolment into TNE Program units - campuses A, F, G, J, K, Q and Z click here for more information.



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