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Online & on-campus
Subjects may require attendance
- 27 Feb 2023
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Our student advisors are here to guide you with:
- Enrolling and eligibility
- Fee and loan information
- Credit and recognition for prior learning
Upon completion of this subject, students will be able to:
develop logical and well structured computer programs in a high-level programming language;
solve scientific and engineering problems by designing and implementing algorithms in a high-level programming language;
analyse and debug computer programs to describe their purpose and identify logic and syntactical errors whenever they are present;
apply the tools and commands available in UNIX-type operating systems for tasks relating to basic administration and data processing;
demonstrate the ability to apply the concepts taught to a range of topics in computational mathematics; and
demonstrate a knowledge of the basic principles of computational error and limits of accuracy.
- Topics will be available to enrolled students in the subjects Learning Management System site approximately one week prior to the commencement of the teaching period.
You must either have successfully completed the following subject(s) before starting this subject, or currently be enrolled in the following subject(s) in a prior study period; or enrol in the following subject(s) to study prior to this subject:
Please note that your enrolment in this subject is conditional on successful completion of these prerequisite subject(s). If you study the prerequisite subject(s) in the study period immediately prior to studying this subject, your result for the prerequisite subject(s) will not be finalised prior to the close of enrolment. In this situation, should you not complete your prerequisite subject(s) successfully you should not continue with your enrolment in this subject. If you are currently enrolled in the prerequisite subject(s) and believe you may not complete these all successfully, it is your responsibility to reschedule your study of this subject to give you time to re-attempt the prerequisite subject(s)
To enrol in this subject you will need to pass 2 of 3 subjects from UNE-ICT100, UNE-ICT101 and UNE-COSC110. Please note as UNE results are released after the close of enrolment date, your enrolment into this subject will be withdrawn if you do not receive a satisfactory result for these subjects.
- Equipment requirements - Headphones or speakers (required to listen to lectures and other media) Headset, including microphone (highly recommended) Webcam (may be required for participation in virtual classrooms and/or media presentations).
- Software requirements - It is essential for students to have reliable internet access in order to participate in and complete your units, regardless of whether they contain an on campus attendance or intensive school component. For additional information please visit UNE Hardware Requirements: https://www.une.edu.au/current-students/support/it-services/hardware
- Other requirements -
Textbook information is not available until approximately 8 weeks prior to the commencement of the Teaching period.
Students are expected to purchase prescribed material.
Textbook requirements may vary from one teaching period to the next.
The technology-driven worlds of science and engineering are increasingly integrated with computer science and its applications. Having high-level quantitative skills and the ability to keep pace with new developments in programming can help you to stand out in your career. This subject introduces you to fundamental programming concepts, including conditional branching, looping and recursion, and you will learn to program in a high-level programming language. Studying the algorithms used for common tasks in numerical analysis, you will explore solving linear equations, interpolation, root finding, curve fitting, numerical integration, random numbers and Monte Carlo methods, and numerical solutions to ordinary differential equations. Throughout the subject, hands-on quantitative problems relevant to the sciences and engineering will allow you to hone your problem-solving skills.
Assessment 1: This assignment will contain a mixture of pure programming exercises and questions applying the learned programming techniques to computational problems in mathematics, science and engineering. Relates to Learning Outcomes 1-6 Assessment 2: This assignment will contain a mixture of pure programming exercises and questions applying the learned programming techniques to computational problems in mathematics, science and engineering. Relates to Learning Outcomes 1-6 Assessment 3: This assignment will contain a mixture of pure programming exercises and questions applying the learned programming techniques to computational problems in mathematics, science and engineering. Relates to Learning Outcomes 1-6 Assessment 4: This assignment will contain a mixture of pure programming exercises and questions applying the learned programming techniques to computational problems in mathematics, science and engineering. Relates to Learning Outcomes 1-6 Final Examination. 2 hrs 15 mins. It is mandatory to pass this component in order to pass this subject. Relates to Learning Outcomes 1-6 There is a supervised exam at the end of the teaching period in which you are enrolled. The paper-based exam will be held at an established exam venue, and coordinated by UNE Exams Unit. UNE manages supervised exams associated with your UNE subjects. Prior to census date, UNE releases exam timetables. They’ll email important exam information directly to your UNE email address.
- Assessment 1 (10%)
- Assessment 2 (10%)
- Final Examination - 2 hrs 15 mins (60%)
- Assessment 3 (10%)
- Assessment 4 (10%)
Current study term: 26 Feb 23 to 09 Jun 23
Check the learning management system (LMS) of your university for textbook details.