- Code COMP1730
- Unit Value 6 units
- Offered by Research School of Computer Science
- ANU College ANU College of Engineering and Computer Science
- Course subject Computer Science
- Areas of interest Medical Science, Psychology, Statistics, Bioinformatics, Photonics More...
- Academic career UGRD
- Dr Patrik Haslum
- Mode of delivery In Person
- Co-taught Course
Second Semester 2016
See Future Offerings
This course teaches introductory programming within a problem solving framework applicable to the sciences. The course emphasises technical programming, the simulation of scientific systems and the processing of scientific data. There is an emphasis on designing and writing correct code. Testing and debugging are seen as integral to the programming enterprise. Both top-down and object oriented design are taught. There will be an introduction to widely-used computer science algorithms and to machine architecture. The course will be taught using one or more programming languages which are widely applicable to scientific work.
Upon successful completion, students will have the knowledge and skills to:
Students who succeed in all aspects of this course will be able to:
- Design, write and debug small programs to solve practical problems of a scientific nature.
- Have a practical understanding of the processing of scientific data.
- Be able to describe and design small computer programs using both procedural and object-oriented methodologies.
- Have an awareness of good program organisation.
- Have an understanding of some widely-used algorithms.
- Have an understanding of practical aspects of machine architecture including finite precision and rounding errors.
Assignments (30%); Online quizzes (10%); Exam (60%)
The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.
Requisite and Incompatibility
The Practice of Computing using Python, 2nd Edition by William Punch and Richard Enbody, Addison-Wesley, 2012. ISBN-10: 0-13-280557-X ISBN-13: 978-0-13-280557-X
Students are assumed to have achieved a level of knowledge of mathematics comparable to at least ACT Mathematics Methods or NSW Mathematics or equivalent. No programming, Computer Science or IT experience or skills are required
Areas of Interest
- Medical Science
- Advanced Computing
- Biomedical Science
Tuition fees are for the academic year indicated at the top of the page.
If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
- Student Contribution Band:
- Unit value:
- 6 units
If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees. Where there is a unit range displayed for this course, not all unit options below may be available.
- Domestic fee paying students
- International fee paying students
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|8102||18 Jul 2016||29 Jul 2016||31 Aug 2016||28 Oct 2016||In Person||N/A|