Computational Techniques and Computer Systems
Semester 1, 2020
Staff
Calendar notes
Introduction to computer architecture and computational techniques. Data representation, memory, hardware, interfacing, and limitations. Numerical computation and algorithms, coding design and paradigms.
Prerequisite: ELECTENG 101 and ENGGEN 131, and ENGGEN 150 or ENGSCI 111Corequisite: ENGSCI 211 or 213
Intended learning outcomes |
Related graduate attributes |
Related assessments |
|---|---|---|
Data. Develop algorithms to apply data management (file I/O, directory management and file movement) and data structure concepts (Linked Lists, Networks). |
ENGA01: engineering knowledge (2) ENGA05: modern tool usage (3) ENGK04: specialist knowledge (2) UOA_1: Disciplinary Knowledge and Practice (2) |
Quiz 9 - Data Lab 9 - Data Test 2 Microbit project |
Combinatorics. Develop algorithms that apply searching, sorting and network concepts (breadth vs. depth search, insertion vs heap sort, Dijkstra's algorithm). |
ENGA01: engineering knowledge (2) ENGA05: modern tool usage (3) ENGK02: mathematical modelling (4) ENGK03: abstraction and formulation (3) ENGK04: specialist knowledge (2) ENGP01: depth of knowledge required (1) UOA_1: Disciplinary Knowledge and Practice (2) UOA_3: Solution Seeking (2) |
Quiz 10 - Combinatorics Lab 10 - Combinatorics Test 2 Microbit project |
Error. Develop algorithms that apply concepts of floating point error quantification (representation, rounding, division) to an LU factorization implementation. Develop and implement concepts of algorithm convergence. |
ENGA01: engineering knowledge (2) ENGA05: modern tool usage (3) ENGK02: mathematical modelling (4) ENGK03: abstraction and formulation (3) ENGK04: specialist knowledge (2) ENGP01: depth of knowledge required (1) UOA_1: Disciplinary Knowledge and Practice (2) |
Quiz 4 - Error Lab 4 - Error Test 1 Microbit project |
Sampled Data. Develop algorithms to apply concepts of numerical interpolation (polynomial fitting, linear interpolation, cubic splines) and numerical integration (Newton-Cotes methods, Gaussian quadrature) to discrete data. |
ENGA01: engineering knowledge (2) ENGA05: modern tool usage (3) ENGK02: mathematical modelling (4) ENGK03: abstraction and formulation (3) ENGK04: specialist knowledge (2) ENGP01: depth of knowledge required (1) UOA_1: Disciplinary Knowledge and Practice (2) UOA_3: Solution Seeking (2) |
Quiz 6 - Sampled Data Lab 6 - Sampled Data Test 2 Microbit project |
Iteration and Stability. Develop algorithms that apply concepts of ODE time steppers (order, accuracy, convergence and stability). |
ENGA01: engineering knowledge (2) ENGA05: modern tool usage (3) ENGK02: mathematical modelling (4) ENGK03: abstraction and formulation (3) ENGK04: specialist knowledge (2) ENGP01: depth of knowledge required (1) UOA_1: Disciplinary Knowledge and Practice (2) UOA_3: Solution Seeking (2) |
Quiz 8 - Iteration Lab 8 - Iteration Test 2 Microbit project |
Performance. Use profiling tools to identify and optimise bottlenecks in code. Apply Big O notation to understand algorithm scaling. Apply concepts of parallelisation to batches of independent tasks. |
ENGA01: engineering knowledge (2) ENGA02: problem analysis (2) ENGA03: design and solution development (4) ENGA05: modern tool usage (3) ENGK02: mathematical modelling (4) ENGK03: abstraction and formulation (3) ENGK04: specialist knowledge (2) ENGK05: engineering design (1) ENGP03: depth of analysis required (1) UOA_1: Disciplinary Knowledge and Practice (2) UOA_3: Solution Seeking (2) |
Quiz 7 - Performance Lab 7 - Performance Test 2 Microbit project |
Information: Understand binary integer representation and how this applies to floating point, ASCII, and structs. |
ENGA01: engineering knowledge (2) ENGA05: modern tool usage (3) ENGA09: individual and team work (2) ENGK03: abstraction and formulation (3) UOA_1: Disciplinary Knowledge and Practice (2) |
Quiz 1 - Information Test 1 Microbit project Lab 1 - Information (not assessed) |
Computing: Understand concepts of data transfer, data storage (memory), parallel vs. serial communication. Demonstrate how executing code can expose hardware limitations in the form of timeouts or out-of-memory errors. |
ENGA01: engineering knowledge (2) ENGA02: problem analysis (2) ENGA03: design and solution development (4) ENGA05: modern tool usage (3) ENGA09: individual and team work (2) ENGK05: engineering design (1) ENGP02: range of conflicting requirements (2) UOA_1: Disciplinary Knowledge and Practice (2) UOA_2: Critical Thinking (1) UOA_3: Solution Seeking (2) |
Quiz 2 - Hardware Quiz 3 - Software Lab 2 - Hardware Lab 3 - Software Test 1 Microbit project |
Quality. List the components of a function specification and develop an implementation from it. Use error handling to check function preconditions. Develop a unit test to verify a function implementation. Create a simple code repository using Git. |
ENGA01: engineering knowledge (2) ENGA03: design and solution development (4) ENGA05: modern tool usage (3) ENGK05: engineering design (1) |
Quiz 5 - Quality Control Lab 5 - Quality Control Test 1 Microbit project |
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