sta5ate advanced topics e
ADVANCED TOPICS IN STATISTICS E
STA5ATE
2019
Credit points: 15
Subject outline
This unit 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 STA4ATE
Equivalent subjectsN/A
Special conditions This subject has been developed in accordance with the guidelines for an Inclusive Curriculum. Students will not be disadvantaged with respect to their culture, gender, socio-economic background or disability.
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:
- 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:
- Lectures and workshops.
03. Apply established theories relevant to the topic.
- Activities:
- Lectures and workshops.
04. Use advanced communication skills to transmit knowledge and ideas of statistics to others.
- Activities:
- Lectures and workshops.
05. Demonstrate autonomy, expert judgement, adaptability and responsibility as a statistician.
- Activities:
- Lectures and workshops.
Subject options
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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 |