Student at University of Wollongong
The subject develops a thorough understanding of programming features, which are implemented in the C++ programming language. It comprises of four main components, namely procedural-based, object-based, objectoriented and generic programming. The subject addresses topics including memory management issues and dynamic memory allocation; classes; STL sequential and associative containers; operator overloading; advanced features in object-oriented programming; C++ RTTI; templates and exception handling; the latest C++ features (e.g. C++11 and C++14 standards)..
The subject will introduce a number of NM models e.g. FCAPS, OAM&P etc., and use one of these models to systematically cover the management of: physical components, staff in a network centre, network configuration, user accounts, network performance, security, faults and disasters. The subject also covers concepts such as NM protocols, service level agreements, network integration and the impact of government regulations on NM. These concepts will be reinforced by a series of hands on exercises including using basic network management tools (including scripting).
This subject will develop and enhance knowledge and skills in research methodology. Topics include defining research problems, research design, conducting a systematic literature review, methods of data collection, processing and analysis of data, writing a research proposal, and interpretation and report writing. Students will gain understanding of different research methodology, including qualitative and quantitative analysis (e.g., causal model and statistical analysis), also learn how to design an appropriate research plan.
The primary aim of this subject is to acquaint with the methodologies and processes associated with the task of managing information technology and software development projects. Topics may include: stakeholder and impact analysis, setting project objectives and conflict resolution, project planning and the selection of appropriate project approaches, software project effort estimation, cost-benefit analysis, activity planning and scheduling, risk management, contract management, quality assurance, professional and ethical responsibilities, and case studies..
Aspiring Machine Learning Engineer
Machine Learning has always inspired me as how a basic line equation "y =mx + c" is used to to solve a complex regression problem. I was always excited about google's voice assistant and how it understands the command, this complled me to learn more about Machine learning. As a result I enrolled myself to a 6 months course and joined as a ML intern at a startup. I was responsible for building a chatbot for the company and I got to learn a lot about many tools like google's own dialogflow. This motivated me further to study and hence here Im doing my major on Machine learning and Big-Data at University of Wollongong.
