Introduction to Scientific Programming
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Online and other materials
Subjects may require attendance
- 02 Mar 2020
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Upon completion of this subject, students will be able to:
- use technical and logical skills to develop well-structured computer programs in MATLAB;
- demonstrate the application of programs to real-world scientific problems, with students applying modelling skills learned in this subject to the physical and life sciences;
- apply current methods of data analysis and visualisation to a wide range of scientific data, including mobile and remote sensors, publically-available data, simulated data, and images; and
- critically appraise and effectively communicate results of their analyses to others.
- Topics will be available to enrolled students in the subjects moodle site approximately one week prior to the commencement of the teaching period.
You must have successfully completed the following subject(s) before starting this subject:
- EquipmentDetails - 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).
- SoftwareDetails - Please refer students to link for requirements: http://www.une.edu.au/current-students/support/it-services/hardware 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.
- TravelDetails - Travel may be required to attend the Final Examination for this subject.
- OtherDetails -
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.
This applied subject is designed for students interested in technology and scientific data modelling, but with little or no programming experience. Using a problem-based approach, students will develop programs in MATLAB that will be applied to a wide range of prevailing and emerging issues in the physical and life sciences. Fundamental programming concepts will be introduced through common techniques used in modern scientific programming, including data analysis, advanced graphs, and image analysis.
In SCI410, students will demonstrate mastery of these concepts through a final project related to their field of expertise.
Programming assessment. 10 weekly programming projects worth 5% each. These assessments must be attempted in order to pass the unit. Relates to Learning Outcomes 1-3 Final Examination: 2 hrs 15 mins. Relates to Learning Outcomes 1-2 For more information about UNE examinations please go to: http://www.une.edu.au/current-students/my-course/examinations 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 (50%)
- Final Examination (50%)
Check the learning management system (LMS) of your university for textbook details.