Methods of Applied Mathematics 1
Course Level Undergraduate
Course Level Undergraduate
                                                        Area/Catalogue
                                                        
MATH 2028
                                                    
                                                        Course Level
                                                        
Undergraduate
                                                    
                                                        Offered Externally
                                                        
Yes
                                                    
Note: This offering may or may not be scheduled in every study period. Please refer to the timetable for further details.
Course ID
106057
                                                        Unit Value
                                                        
4.5
                                                    
                                                        University-wide elective course
                                                        
Yes
                                                    
                                                        Course owner
                                                        
School of Information Technology and Mathematical Sciences
                                                    
This course introduces the mathematical theory used in the study of deterministic and random signals in engineering, including transform methods (Fourier, Laplace, and z-transform), and probability theory.
Theory of Fourier series: orthogonal and orthonormal systems; exponential, sine and cosine series. Theory of integral transforms: the Fourier and Laplace transforms and their inverses, properties and formulae; partial fraction expansion of inverses. The z-transform, its properties and its inverse. Applications to the modelling of engineering systems (electrical circuits, oscillatory systems, discrete and digital systems). 
Probability : discrete and continuous random variables, expectation , estimators. Random signals: autocovariance, ergodicity, power spectral analysis.
Nil
| Subject Area & Catalogue Number | Course Name | 
|---|---|
| Group 2 | |
| MATH 1064 | Mathematical Methods for Engineers 2 | 
| Group 1 | |
| MATH 1055 | Calculus 2 | 
Calculus 2 or Mathematical Methods for Engineers 2
Nil
| Component | Duration | ||
|---|---|---|---|
| INTERNAL, MAWSON LAKES | |||
| Lecture | 4 hrs (2x2 hrs) x 13 weeks | ||
| Tutorial | 1 hour x 12 weeks | ||
| INTERNAL, OFFSHORE, M2 EDUCATION (SINGAPORE) PTE LTD | |||
| Tutorial (weekly tutorial supported by online learning material) | 2.5 hours x 10 weeks | ||
| EXTERNAL, MAWSON LAKES, ONLINE | |||
| External | N/A x 13 weeks | ||
Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.
Assignment 1, Assignment 2, Examination
                EFTSL*: 0.125
                Commonwealth Supported program (Band 2)
                To determine the fee for this course as part of a Commonwealth Supported program, go to:
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Fee-paying program for domestic and international students
International students and students undertaking this course as part of a postgraduate fee paying program must refer to the relevant program home page to determine the cost for undertaking this course.
Non-award enrolment
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* Equivalent Full Time Study Load. Please note: all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation.