14.2 Dr. A. Davison Computing Fundamentals A, 433-141 offered in both Semester 1 and Semester 2 39 hours of lectures (3 per week); 12 one-hour tutorials; 12 two-hour laboratory classes; On successful completion of the subject students should:

• have proficiency in programming in a high level imperative language
• be familiar with abstract data types and be aware of their relevance to problem solving
• have an understanding of design issues relevant to programming in a functional language and in an imperative language (C)
• have knowledge of the structure of computer systems and the role of systems software
• have a background of relevant knowledge and skills on which to base further study of Computer Science

Advanced programming techniques: dynamic data structures; abstract data types. Computer Organisation: components; data storage; data manipulation. Execution of algorithms: program translation; operating systems. Programming Paradigms: functional; imperative; logic. Software Engineering: software life cycle; program testing and debugging. Theory of Computation: computability; complexity; correctness. Written examinations not exceeding four hours at the end of the subject. Project work, which is expected to take about 30 hours, must be completed satisfactorily to pass the subject. Weighting of assessment components will be made known at the start of the subject. 12.5 Dr A Davison. Computer Science 433-141 Offered in both Semester 1 and Semester 2 39 lectures (3 per week); 12 one-hour tutorials; 12 two-hour laboratory classes. On successful completion of the subject, students should:

• have proficiency in programming in a high level imperative language;
• be familiar with abstract data types and be aware of their relevance to problem solving;
• have an understanding of design issues relevant to programming in a functional language and in an imperative language (C);
• have knowledge of the structure of computer systems and the role of systems software;
• have a background of relevant knowledge and skills on which to base further study of Computer Science.

Advanced programming techniques: dynamic data structures; abstract data types. Computer Organisation: components; data storage; data manipulation. Execution of algorithms: program translation; operating systems. Programming Paradigms: functional; imperative; logic. Software Engineering: software life cycle; program testing and debugging. Theory of Computation: computability; complexity; correctness. Written examinations not exceeding four hours at the end of the subject. Project work, which is expected to take about 30 hours, must be completed satisfactorily to pass the subject. Weighting of assessment components will be made known at the start of the subject. 433-141 Computing Fundamentals A Dr A Davison. Available in both semesters one & two 39 lectures, 12 tutorials, 24 hours of laboratory classes. Upon completion of the subject, students should: have proficiency in programming in a high level imperative language; be familiar with abstract data models and be aware of their relevance to problem solving; have an understanding of design issues relevant to programming in a functional language and in an imperative language (C); have knowledge of the structure of computer systems and the role of systems software; have a background of relevant knowledge and skills on which to base further study of Computer Science. Advanced programming techniques: dynamic data structures; abstract data types. Computer organisation: components; data storage; data manipulation. Execution of algorithms: program translation; operating systems. Programming paradigms: functional; imperative; logic. Software engineering: software life cycle; program testing and debugging. Theory of computation: computability; complexity; correctness. Written examinations not exceeding 4 hours. Project work, which is expected to take about 36 hours, must be completed satisfactorily to pass the unit. Weighting of assessment components will be made known at the commencement of the unit.