University of Tasmania Home Page Course and Units 2012
 
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Science, Engineering and Technology

KMA353

Enrolment
Unit Code
Unit Title
KMA305 Probability Models 3
KMA315 Real and Complex Analysis 3
KMA350 Computational Techniques 3
KMA351 Algebra and Applications 3
KMA352 Analysis 3
KMA353 Data Handling and Statistics 3
KMA354 Partial Differential Equations, Applications and Methods 3
KMA355 Operations Research 3
KMA356 Principles of Statistics 3
KMA357 Topics in Advanced Mathematics 3
KMA381 Calculus of Variations
KMA382 Applied Complex Variables & Transform Theory
(Not Offered 2012)
KME300 Engineering Numerical Methods
KYA306 Astrophysics and Atmospheric Physics
(Not Offered 2012)
KYA307 Experimental Astrophysics
KYA308 Statistical Physics and Quantum Information
(Not Offered 2012)
KYA314 Dynamical Systems and Chaos
(Not Offered 2012)
KYA315 Fluid Mechanics
KYA320 Advanced Electromagnetism
KYA321 Wave Mechanics and Quantum Mechanics
KYA322 Statistical Physics & Solid State Physics
KYA323 Atomic and Nuclear Physics

2012  KMA353  Data Handling and Statistics 3

Unit Level: Advanced

Available as a Student Elective: Yes

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

OFFERINGS

Unit Sem 1 Sem 2 Full Yr Spring Summer Winter
KMA353 H

Key Semester Dates
Semester Campus Attendance Note Start Date Census Date Final WW Date* End Date
Sem 1 H On Campus 27-FEB-2012 23-MAR-2012 16-APR-2012 01-JUN-2012

*The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (see Withdrawal dates explained for more information).

About Census Dates

DESCRIPTION

Extension of the concepts, methods and tools introduced in KMA253. A 'hands-on' course in which the emphasis is on the development of skills in the selection and application of statistical methods and the presentation of statistical results. Statistical methodology covered in the course will be selected from the following: analysis of variance applied in the area of experimental designs; generalised linear methodology; multivariate statistical methodology; methods for analysing frequency data; methodology for studying data collected over time. Expertise with statistical computing packages will be extended. Examples will be drawn from the physical and social sciences and bioinformatics

WEIGHT:  12.5%

ASSESSMENT: assignments and class tests

TEACHING PATTERN: 3x1-hr lectures, 1-hr tutorial, 1-hr lab session weekly

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

   Web supported - H
Online access to some part of this unit online is optional
   Resource supported teaching & learning - H
Additional resources are provided for your optional use; e.g. audio taped lectures
About Flexible Study Options

REQUISITE INFO
Prereq KMA253

TEXTS
Hobart Co-op Bookshop Website - Semester (Sem 1)

STAFF: Dr D FitzGerald

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, P Beauty Point. 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, K KDU Malaysia, Q Kuwait or Y Hong Kong.

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



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