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 Type | Title | Resource Requirement | Author and Year | Publisher |
---|---|---|---|---|
Readings | Introduction to Linear Regression Analysis | Recommended | Montgomery, 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…
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 element | Comments | % | ILO* |
---|---|---|---|
This is dependent on the subject. | 100 | 01, 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 element | Comments | % | ILO* |
---|---|---|---|
This is dependent on the subject. | 100 | 01, 02, 03, 04, 05 |