STAT2110
10 units
2000 level
Course handbook
Description
Statistics provides us with a quantitative framework to utilise data for describing, summarising, and modelling the world around us. Engineering statistics combines engineering and statistics using scientific methods for analysing data. This course introduces students to the fundamental concepts of probability, random variables and their distributions, and shows how these ideas provide the theoretical foundation for data analysis through statistical modelling, estimation and hypothesis testing with a major emphasis on applications in electrical engineering and computer systems. On completion of this course students will be able to apply statistical theory to make informed decisions and predictions relevant to engineering.
Availability2024 Course Timetables
Callaghan
- Semester 1 - 2024
Learning outcomes
On successful completion of the course students will be able to:
1. Explain the basic concepts underlying probability and hypothesis testing.
2. Explain the underlying assumptions and the applicability of each of the approaches studied.
3. Apply statistical models and statistical concepts including probability and hypothesis testing to solve engineering problems.
4. Apply linear algebra concepts and methods to statistical models.
5. Demonstrate an enhanced analytical ability.
Content
The course will include the following topics:
- Sample space, events, axioms of probability and Bayes’ theorem
- Random variables and their distributions: Univariate
- Expected values and their properties
- Functions of random variables
- Vector and matrix calculations
- Random vectors and joint distributions: Multivariate
- Samples, sampling distributions and Central Limit Theorem
- Hypothesis testing
- Estimation
- Simple linear regression models
- Monte Carlo Simulation
Requisite
This course has similarities to STAT1300 and STAT2010. If you have successfully completed STAT1300 or STAT2010 you cannot enrol in this course.
Assumed knowledge
MATH1110 Mathematics for Engineering, Science and Technology 1
OR
MATH1120 Mathematics for Engineering, Science and Technology 2
OR
MATH1210 Mathematical Discovery 1
OR
MATH1220 Mathematical Discovery 2
Knowledge of and experience in Python
Assessment items
Quiz: Quizzes
Written Assignment: Written Assessment
Formal Examination: Examination
Contact hours
Semester 1 - 2024 - Callaghan
Computer Lab-1
- Face to Face On Campus 2 hour(s) per week(s) for 13 week(s) starting in week 1
Lecture-1
- Face to Face On Campus 2 hour(s) per week(s) for 13 week(s) starting in week 1
Tutorial-1
- Face to Face On Campus 2 hour(s) per week(s) for 13 week(s) starting in week 1
Course outline
- STAT2110 - Trimester 3, 2023 (Psb) (PDF, 175.9 KB)
- STAT2110 - Semester 1, 2024 (Callaghan) (PDF, 184.9 KB)
The University of Newcastle acknowledges the traditional custodians of the lands within our footprint areas: Awabakal, Darkinjung, Biripai, Worimi, Wonnarua, and Eora Nations. We also pay respect to the wisdom of our Elders past and present.