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.
SchoolEngineering and Mathematical Sciences
Credit points15
Subject Co-ordinatorNadiya Kosytsina
Available to Study Abroad/Exchange StudentsYes
Subject year levelYear Level 2 - UG
Available as ElectiveNo
Learning ActivitiesN/A
Capstone subjectNo
Subject particulars
Subject rules
PrerequisitesSTA1SS OR MAT1CLA OR STA1PSY OR STA1LS OR (MAT1CDE AND MAT1NLA)
Co-requisitesN/A
Incompatible subjectsSTA2MD
Equivalent subjectsN/A
Quota Management StrategyN/A
Quota-conditions or rulesN/A
Special conditionsN/A
Minimum credit point requirementN/A
Assumed knowledgeN/A
Career Ready
Career-focusedNo
Work-based learningNo
Self sourced or Uni sourcedN/A
Entire subject or partial subjectN/A
Total hours/days requiredN/A
Location of WBL activity (region)N/A
WBL addtional requirementsN/A
Graduate capabilities & intended learning outcomes
Graduate Capabilities
Intended Learning Outcomes
Subject options
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Melbourne (Bundoora), 2020, Semester 2, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorNadiya Kosytsina
Class requirements
Lecture
Week:
0
-
0
Three 1.00 h lecture per week
on weekdays
during the day
from week 0 to week 0
and delivered via face-to-face.
Tutorial
Week:
0
-
0
One 1.00 h 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 |