Courses & Units

Data Handling and Statistics 1 KMA153

Note:

Hobart: semester 1 and 2,  blended delivery

Distance:  semester 1

Launceston:  semester 1 and 2 blended delivery

Cradle Coast: semester 1 blended delivery

Introduction

Data Handling and Statistics 1 is the first of three applied statistics units offered by the School of Natural Sciences (Mathematics). Statistics is the science of decision making, and as such forms a key foundation of any scientific research. This unit develops skills in statistical analysis and project design.
Data Handling and Statistics 1 is an applied unit that develops conceptual understanding of the foundations of modern Statistics together with practical skills in data analysis. This is a hands-on unit that provides experience with the common techniques of descriptive and inferential statistics.

Summary

Unit name Data Handling and Statistics 1
Unit code KMA153
Credit points 12.5
College/School College of Sciences and Engineering
School of Natural Sciences
Discipline Mathematics
Coordinator Professor Barbara Holland|Doctor Danijela Ivkovic
Available as an elective? Yes
Delivered By University of Tasmania
Level Introductory

Availability

Location Study period Attendance options Available to
Hobart Semester 1 On-Campus Off-Campus International International Domestic Domestic
Hobart Semester 2 On-Campus International Domestic
Launceston Semester 1 On-Campus International Domestic
Launceston Semester 2 On-Campus International Domestic
Cradle Coast Semester 1 On-Campus International Domestic

Key

On-campus
Off-Campus
International students
Domestic students
Note

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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.

Key Dates

Study Period Start date Census date WW date End date
Semester 1 21/2/2022 22/3/2022 11/4/2022 29/5/2022
Semester 2 11/7/2022 9/8/2022 29/8/2022 16/10/2022

* 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 (refer to How do I withdraw from a unit? for more information).

Unit census dates currently displaying for 2022 are indicative and subject to change. Finalised census dates for 2022 will be available from the 1st October 2021. Note census date cutoff is 11.59pm AEST (AEDT during October to March).

About Census Dates

Learning Outcomes

  • summarize and explore large data sets using appropriate numeric and graphical tools in order to communicate statistical concepts to both scientific and lay audiences.
  • recognize the key issues involved in designing a survey or experiment, and assess strengths and weaknesses in statistical arguments.
  • identify and apply appropriate statistical techniques to make inferences based on data.
  • perform common statistical analyses in a statistical computing package.
Field of Education Commencing Student Contribution 1 Grandfathered Student Contribution 1 Approved Pathway Course Student Contribution 2 Domestic Full Fee
010103 $498.00 $498.00 not applicable $2,402.00

1 Please refer to more information on student contribution amounts.
2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on eligibility for FEE-HELP.

If you have any questions in relation to the fees, please contact UConnect or more information is available on StudyAssist.

Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.

Requisites

Mutual Exclusions

You cannot enrol in this unit as well as the following:

KMA553

Teaching

Teaching Pattern

Blended delivery: 1-hr video lectures, 1-hr tutorial, 1-hr computer lab, 1-hr face-to--face weekly.

AssessmentQuiz (20%)|Report (15%)|Examination (40%)|Project 1: Descriptive Statistics (15%)|Project 2: Design task (10%)
TimetableView the lecture timetable | View the full unit timetable

Textbooks

Required

Required readings will be listed in the unit outline prior to the start of classes.

LinksBooktopia textbook finder

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