sta4atd advanced topics in statistics d

ADVANCED TOPICS IN STATISTICS D

STA4ATD

2020

Credit points: 15

Subject outline

This subject enables 4th year statistics students to enrol in subjects offered through the Key Centre of Statistical Science (KCSS) or through the Department of Mathematics and Statistics Access Grid Room. Subject syllabus is dependent on the subject chosen and students are advised to refer to the departmental website or the Department of Mathematics and Statistics Honours Coordinator prior to enrolment for more details. Enrolment into this subject must be approved by the Department of Mathematics and Statistics Honours Coordinator.

SchoolEngineering and Mathematical Sciences

Credit points15

Subject Co-ordinatorTomasz Kowalski

Available to Study Abroad/Exchange StudentsYes

Subject year levelYear Level 4 - UG/Hons/1st Yr PG

Exchange StudentsNo

Available as ElectiveNo

Learning ActivitiesN/A

Capstone subjectNo

Subject particulars

Subject rules

Prerequisites Students must have been accepted into the Department of Mathematics and Statistics Honours program

Co-requisitesN/A

Incompatible subjectsSTA5ATD

Equivalent subjectsN/A

Quota Management StrategyN/A

Quota-conditions or rulesN/A

Special conditionsN/A

Minimum credit point requirementN/A

Assumed knowledgeN/A

Career Ready

Career-focusedNo

Work-based learningNo

Self sourced or Uni sourcedN/A

Entire subject or partial subjectN/A

Total hours/days requiredN/A

Location of WBL activity (region)N/A

WBL addtional requirementsN/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

Intended Learning Outcomes

01. Demonstrate advanced theoretical and technical knowledge in a specified statistics topic.

02. Use advanced cognitive and technical skills to select and apply methods to critically analyse, evaluate and interpret tasks relevant to the topic.

03. Use advanced cognitive and technical skills to analyse, generate and transmit solutions to complex problems relevant to the topic.

04. Use advanced communication skills to transmit knowledge and ideas of statistics to others.

05. Demonstrate autonomy, well-developed judgement, adaptability and responsibility as a statistician.

Subject options

Select to view your study options…

Melbourne (Bundoora), 2020, Semester 1, Day

Overview

Online enrolmentNo

Maximum enrolment sizeN/A

Enrolment informationN/A

Subject Instance Co-ordinatorTomasz Kowalski

Class requirements

LectureWeek: 10 - 22
One 2.00 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
This is dependent on the subject chosen though subject typically consist of two contact hours per week.

Assessments

Assessment element	Comments	Category	Contribution	Hurdle	%	ILO*
This is dependent on the subject.	N/A	N/A	N/A	No	100	SILO1, SILO2, SILO3, SILO4, SILO5

Melbourne (Bundoora), 2020, Semester 2, Day