ADVANCED TOPICS IN STATISTICS A
STA4ATA
2017
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.
School: School Engineering&Mathematical Sciences
Credit points: 15
Subject Co-ordinator: Tomasz Kowalski
Available to Study Abroad Students: Yes
Subject year level: Year Level 4 - UG/Hons/1st Yr PG
Exchange Students: Yes
Subject particulars
Subject rules
Prerequisites: Students must have been accepted into the Department of Mathematics and Statistics Honours program
Co-requisites: N/A
Incompatible subjects: STA5ATA
Equivalent subjects: N/A
Special conditions: N/A
Graduate capabilities & intended learning outcomes
01. Demonstrate advanced theoretical and technical knowledge in a specified statistics topic.
- Activities:
- May consist of lectures and workshops.
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
02. Use advanced cognitive and technical skills to select and apply methods to critically analyse, evaluate and interpret tasks relevant to the topic.
- Activities:
- May consist of lectures and workshops.
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
03. Use advanced cognitive and technical skills to analyse, generate and transmit solutions to complex problems relevant to the topic.
- Activities:
- May consist of lectures and workshops.
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
04. Use advanced communication skills to transmit knowledge and ideas of statistics to others.
- Activities:
- May consist of lectures and workshops.
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Literacies and Communication Skills(Writing,Quantitative Literacy)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
05. Demonstrate autonomy, well-developed judgement, adaptability and responsibility as a statistician.
- Activities:
- May consist of lectures and workshops.
- Related graduate capabilities and elements:
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
Melbourne, 2017, Semester 1, Day
Overview
Online enrolment: No
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: Tomasz Kowalski
Class requirements
Lecture/SeminarWeek: 10 - 22
One 2.0 hours lecture/seminar 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 subjects typically consist of two contact hours per week."
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| This is dependent on the subject. | 100 | 01, 02, 03, 04, 05 |
Melbourne, 2017, Semester 2, Day
Overview
Online enrolment: No
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: Tomasz Kowalski
Class requirements
Lecture/SeminarWeek: 31 - 43
One 2.0 hours lecture/seminar per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
"This is dependent on the subject chosen though subjects typically consist of two contact hours per week."
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| This is dependent on the subject. | 100 | 01, 02, 03, 04, 05 |