sta5atc advanced topics c

ADVANCED TOPICS IN STATISTICS C

STA5ATC

2019

Credit points: 15

Subject outline

This subject enables 5th 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 Master of Staistical Science Coordinator prior to enrolment for more details. Enrolment into this subject must be approved by the Department of Mathematics and Statistics Master of Statistical Science Coordinator.

SchoolSchool Engineering&Mathematical Sciences

Credit points15

Subject Co-ordinatorAndriy Olenko

Available to Study Abroad StudentsYes

Subject year levelYear Level 5 - Masters

Exchange StudentsYes

Subject particulars

Subject rules

Prerequisites only by approval of the Master of Statistical Science coordinator

Co-requisitesN/A

Incompatible subjects STA4ATC

Equivalent subjectsN/A

Special conditionsN/A

Learning resources

Readings

Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsIntroduction to Linear Regression AnalysisRecommendedMontgomery, D. C, Peck, E. A. and Vining, G. (2006)WILEY, 4TH EDITION.

Graduate capabilities & intended learning outcomes

01. Demonstrate specialised theoretical and technical skills in a specified statistics topic.

Activities:
May consist of lectures and workshops.

02. Use specialised cognitive and technical skills to critically analyse, reflect on and synthesise complex information, problems, concepts and theories relevant to the topic.

Activities:
May consist of lectures and workshops.

03. Apply established theories relevant to the topic.

Activities:
May consist of lectures and workshops.

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

Activities:
May consist of lectures and workshops.

05. Demonstrate autonomy, expert judgement, adaptability and responsibility as a statistician.

Activities:
May consist of lectures and workshops.

Subject options

Select to view your study options…

Start date between: and    Key dates

Melbourne, 2019, Semester 1, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorAndriy Olenko

Class requirements

LectureWeek: 10 - 22
Two 1.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

Assessments

Assessment elementComments%ILO*
This is dependent on the subject.10001, 02, 03, 04, 05

Melbourne, 2019, Semester 2, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorAndriy Olenko

Class requirements

LectureWeek: 31 - 43
Two 1.0 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

Assessments

Assessment elementComments%ILO*
This is dependent on the subject.10001, 02, 03, 04, 05