PROBABILITY MODELS
STM2PM
2020
Credit points: 15
Subject outline
The analysis of scientific, engineering and economic data makes extensive use of probability models. This subject describes the most basic of these models and their properties. Specific topics covered in this subject include a wide range of discrete and continuous univariate distributions; joint distributions; conditional expectation; mean and variance of linear combinations of random variables; Chebyshev's inequality; moment generating functions; the law of large numbers; the Central Limit Theorem. To help students with little or no previous knowledge of calculus, the equivalent of one lecture per week consists of relevant mathematical topics to support the other content.
School: Engineering and Mathematical Sciences (Pre 2022)
Credit points: 15
Subject Co-ordinator: Nadiya Kosytsina
Available to Study Abroad/Exchange Students: Yes
Subject year level: Year Level 2 - UG
Available as Elective: No
Learning Activities: N/A
Capstone subject: No
Subject particulars
Subject rules
Prerequisites: STA1SS OR MAT1CLA OR STA1PSY OR STA1LS OR (MAT1CDE AND MAT1NLA)
Co-requisites: N/A
Incompatible subjects: STA2MD
Equivalent subjects: N/A
Quota Management Strategy: N/A
Quota-conditions or rules: N/A
Special conditions: N/A
Minimum credit point requirement: N/A
Assumed knowledge: N/A
Career Ready
Career-focused: No
Work-based learning: No
Self sourced or Uni sourced: N/A
Entire subject or partial subject: N/A
Total hours/days required: N/A
Location of WBL activity (region): N/A
WBL addtional requirements: N/A
Graduate capabilities & intended learning outcomes
Graduate Capabilities
Intended Learning Outcomes
Melbourne (Bundoora), 2020, Semester 2, Day
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Subject Instance Co-ordinator: Nadiya Kosytsina
Class requirements
LectureWeek: 0 - 0
Three 1.00 hour lecture per week on weekdays during the day from week 0 to week 0 and delivered via face-to-face.
TutorialWeek: 0 - 0
One 1.00 hour tutorial per week on weekdays during the day from week 0 to week 0 and delivered via face-to-face.
Assessments
| Assessment element | Category | Contribution | Hurdle | % | ILO* |
|---|---|---|---|---|---|
2 hour Exam (Equivalent to 3000 words) | N/A | N/A | No | 70 | SILO2, SILO3, SILO4, SILO5 |
5 assignments (1500 words equivalent total) | N/A | N/A | No | 30 | SILO1, SILO2, SILO3, SILO4, SILO5 |