Search Course Outline
Showing 25 course outlines from 747 matches
151
COMPSCI 399
: Capstone: Computer Science2023 Semester Two (1235)
Students work in small groups to complete a substantial problem applying the knowledge learnt from the different courses in the Computer Science major. Teams are expected to reason on a problem, devise a solution, produce an artefact and present their work. The capstone provides an opportunity for students to further develop their technical and communication skills.
Prerequisite: 30 points at Stage III in Computer Science and COMPSCI 210, 220, 230
152
COMPSCI 399
: Capstone: Computer Science2023 Semester One (1233)
Students work in small groups to complete a substantial problem applying the knowledge learnt from the different courses in the Computer Science major. Teams are expected to reason on a problem, devise a solution, produce an artefact and present their work. The capstone provides an opportunity for students to further develop their technical and communication skills.
Prerequisite: 30 points at Stage III in Computer Science and COMPSCI 210, 220, 230
153
COMPSCI 701
: Creating Maintainable Software2023 Semester Two (1235)
Developing maintainable software has been an ongoing challenge in the software industry. This course presents the principles and practices that have been proposed for developing maintainable software systems. It will evaluate and critique these principles and practices through examining their application in practice and through understanding the research on their effectiveness.
Prerequisite: COMPSCI 235 or 718
154
COMPSCI 705
: Advanced Topics in Human Computer Interaction2023 Semester Two (1235)
Human aspects of computer systems, relevant to commercial solution development and computer science research. Sample topics: advanced evaluation methods; support of pen and touch-based interaction; trends with domain specific user interface design, such as interfaces for enterprise systems. Recommended preparation: COMPSCI 345 or SOFTENG 350.
Restriction: SOFTENG 702
155
COMPSCI 711
: Parallel and Distributed Computing2023 Semester One (1233)
Computer architectures and languages for exploring parallelism, conceptual models of parallelism, principles for programming in a parallel environment, different models to achieve interprocess communication, concurrency control, distributed algorithms and fault tolerance.
Prerequisite: COMPSCI 320 or 335
156
COMPSCI 715
: Advanced Computer Graphics2023 Semester Two (1235)
An advanced look at current research issues in computer graphics. Typical topics include: ray-tracing acceleration methods; radiosity; subdivision surfaces; physically-based modelling; animation; image-based lighting and rendering; non-photorealistic rendering; advanced texturing. The precise content may vary from year to year. Consult the department for details. Recommended preparation: COMPSCI 373 or equivalent, and 15 points at Stage II in Mathematics.
Prerequisite: Approval of the Academic Head or nominee
157
COMPSCI 717
: Fundamentals of Algorithmics2023 Semester One (1233)
Fundamental techniques are covered for the design of algorithms such as greedy algorithms, divide-and-conquer, and dynamic programming. Data structures are explored that help implement algorithms. Essential tools are taught for analysing algorithms, for example worst- and average-case analyses of space and time. Recommended preparation: 15 points from COMPSCI 120 or equivalent and 15 points from COMPSCI 130 or equivalent
Prerequisite: Approval of Academic Head or nominee
Restriction: COMPSCI 220, 320, SOFTENG 250
Restriction: COMPSCI 220, 320, SOFTENG 250
158
COMPSCI 718
: Programming for Industry2023 Late Year Term (1237)
An examination of object-oriented programming and design. Key principles of object-oriented programming: typing, encapsulation, inheritance, polymorphism and composition. Fundamental object-oriented modelling and design techniques. Students will develop application software of reasonable complexity that draws on object-oriented language features, and contemporary APIs, frameworks and tools.
No pre-requisites or restrictions
159
COMPSCI 718
: Programming for Industry2023 Semester Two (1235)
An examination of object-oriented programming and design. Key principles of object-oriented programming: typing, encapsulation, inheritance, polymorphism and composition. Fundamental object-oriented modelling and design techniques. Students will develop application software of reasonable complexity that draws on object-oriented language features, and contemporary APIs, frameworks and tools.
No pre-requisites or restrictions
160
COMPSCI 718
: Programming for Industry2023 Semester One (1233)
An examination of object-oriented programming and design. Key principles of object-oriented programming: typing, encapsulation, inheritance, polymorphism and composition. Fundamental object-oriented modelling and design techniques. Students will develop application software of reasonable complexity that draws on object-oriented language features, and contemporary APIs, frameworks and tools.
No pre-requisites or restrictions
161
COMPSCI 718
: Programming for Industry2023 Academic Year Term (1231)
An examination of object-oriented programming and design. Key principles of object-oriented programming: typing, encapsulation, inheritance, polymorphism and composition. Fundamental object-oriented modelling and design techniques. Students will develop application software of reasonable complexity that draws on object-oriented language features, and contemporary APIs, frameworks and tools.
No pre-requisites or restrictions
162
COMPSCI 719
: Programming with Web Technologies2023 Late Year Term (1237)
An examination of developing web-based applications. Client-side technologies: HTML, CSS and Javascript. Server-side technologies to support dynamic Web pages and data access. Fundamental relational database concepts and design techniques. Principles of Web-application design. HCI considerations and mobile clients. Students will build a Web-based application that dynamically generates content involving relational database access.
No pre-requisites or restrictions
163
COMPSCI 719
: Programming with Web Technologies2023 Semester Two (1235)
An examination of developing web-based applications. Client-side technologies: HTML, CSS and Javascript. Server-side technologies to support dynamic Web pages and data access. Fundamental relational database concepts and design techniques. Principles of Web-application design. HCI considerations and mobile clients. Students will build a Web-based application that dynamically generates content involving relational database access.
No pre-requisites or restrictions
164
COMPSCI 719
: Programming with Web Technologies2023 Semester One (1233)
An examination of developing web-based applications. Client-side technologies: HTML, CSS and Javascript. Server-side technologies to support dynamic Web pages and data access. Fundamental relational database concepts and design techniques. Principles of Web-application design. HCI considerations and mobile clients. Students will build a Web-based application that dynamically generates content involving relational database access.
No pre-requisites or restrictions
165
COMPSCI 719
: Programming with Web Technologies2023 Academic Year Term (1231)
An examination of developing web-based applications. Client-side technologies: HTML, CSS and Javascript. Server-side technologies to support dynamic Web pages and data access. Fundamental relational database concepts and design techniques. Principles of Web-application design. HCI considerations and mobile clients. Students will build a Web-based application that dynamically generates content involving relational database access.
No pre-requisites or restrictions
166
COMPSCI 720
: Advanced Design and Analysis of Algorithms2023 Semester One (1233)
Selected advanced topics in design and analysis of algorithms, such as: combinatorial enumeration algorithms; advanced graph algorithms; analytic and probabilistic methods in the analysis of algorithms; randomised algorithms; methods for attacking NP-hard problems.
Prerequisite: COMPSCI 320
167
COMPSCI 726
: Network Defence and Countermeasures2023 Semester Two (1235)
Focuses on the use and deployment of protective systems used in securing internal and external networks. Examines in detail the widely used protocols including SSL, IPSec, DNSSEC as well as covers infrastructure platform protocols including wireless security (IEEE 802.11). Explores current research and developments in the area of network defence and countermeasures. Recommended preparation: COMPSCI 314, 315
No pre-requisites or restrictions
168
COMPSCI 732
: Software Tools and Techniques2023 Semester One (1233)
An advanced course examining research issues related to tools and techniques for software design and development. Topics include: techniques for data mapping and data integration, software architectures for developing software tools, issues in advanced database systems. Recommended preparation: COMPSCI 331
No pre-requisites or restrictions
169
COMPSCI 742
: Advanced Internet: Global Data Communications2023 Semester Two (1235)
The course covers wide area networks, global routing, network and protocol performance, buffering and queuing, advanced network measurement, network application performance, content networks, and advanced networking concepts.
Prerequisite: COMPSCI 314 or 315
170
COMPSCI 747
: Computing Education2023 Semester One (1233)
An overview of topics related to the use of technology in education and how people learn computer science concepts. Topics include research methodologies used in computer science education, how novices learn to program, and how technology can engage students in active learning, facilitate collaboration and enhance traditional educational practice. Recommended preparation: 30 points at Stage III in Computer Science
Prerequisite: Approval of the Academic Head or nominee
171
COMPSCI 750
: Computational Complexity2023 Semester Two (1235)
Definitions of computational models and complexity classes: time complexity (e.g., P and NP), space complexity (e.g., L and PSPACE), circuit and parallel complexity (NC), polynomial-time hierarchy (PH), interactive complexity (IP), probabilistic complexity (BPP), and fixed-parameter complexity. Recommended preparation: COMPSCI 320 or 350.
Prerequisite: Approval of the Academic Head or nominee
172
COMPSCI 751
: Advanced Topics in Database Systems2023 Semester One (1233)
Database principles. Relational model, relational algebra, relational calculus, SQL, SQL and programming languages, entity-relationship model, normalisation, query processing and query optimisation, ACID transactions, transaction isolation levels, database recovery, database security, databases and XML. Research frontiers in database systems. Recommended preparation: COMPSCI 220, 225.
Prerequisite: Approval of the Academic Head or nominee
Restriction: COMPSCI 351, SOFTENG 351
Restriction: COMPSCI 351, SOFTENG 351
173
COMPSCI 752
: Big Data Management2023 Semester One (1233)
The deep diversity of modern-day data from many companies requires data scientists to master many technologies that rely on new principles to represent, describe, access, and analyse data. The course will provide insight into the rich landscape of big data modelling, management, and analysis in distributed and heterogeneous environments. Recommended preparation: COMPSCI 351.
No pre-requisites or restrictions
174
COMPSCI 753
: Algorithms for Massive Data2023 Semester Two (1235)
Modern enterprises and applications such as electronic commerce, social networks, location services, and scientific databases are generating data on a massive scale. Analysis of such data must be carried out by scalable algorithms. This course exposes data science practitioners and researchers to various advanced algorithms for processing and mining massive data, and explores best-practices and state-of-the-art developments in big data. Recommended preparation: COMPSCI 320
Prerequisite: Approval of the Academic Head or nominee
175
COMPSCI 760
: Advanced Topics in Machine Learning2023 Semester Two (1235)
An overview of the learning problem and the view of learning by search. Covers advanced techniques for learning such as: decision tree learning, rule learning, exhaustive learning, Bayesian learning, genetic algorithms, reinforcement learning, neural networks, explanation-based learning and inductive logic programming. Advanced experimental methods necessary for understanding machine learning research.
Prerequisite: COMPSCI 361 or 762