Introduction to Scientific Programming
UndergraduateUNE-SCI2102025
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- Study method
- 100% online
- Assessments
- Subject may require attendance
- Entry requirements
- Part of a degree
- Duration
- 16 weeks
- Start dates
- 24 Feb 2025
- Loan available
- FEE-HELP available
Introduction to Scientific Programming
About this subject
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.
Are you interested in learning skills in technology and scientific data modelling that can help you to stand out in your career, but lack programming experience? This subject provides you with an introduction to scientific programming, using problem-based learning and hands-on, practical exercises. Delving into fundamental programming concepts that are invaluable in a scientist's tool kit, the unit is designed to help you hone the skills needed to use and apply common techniques used in modern scientific programming. These include data analysis, advanced graphs and image analysis. You will develop programs in MATLAB, applying these to a wide range real-world of topical and emerging issues in the physical and life sciences.
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.
There is a supervised exam at the end of the teaching period in which you are enrolled. The exam will be offered online with supervision via webcam and screen sharing technology. 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.- Programming Assessments (50%)
- Final Invigilated Examination (50%)
For textbook details check your university's handbook, website or learning management system (LMS).
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Entry requirements
Part of a degree
To enrol in this subject you must be accepted into one of the following degrees:
Elective
- UNE-INF-DIP-2025 - Diploma in Information Technology
- UNE-DSC-DIP-2025 - Diploma in Science
Prior study
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:
one of
- UNE-MTHS110-Quantitative Skills with Applications
- UNE-MTHS120-Calculus and Linear Algebra 1
- UNE-MTHS130-Calculus and Linear Algebra 2
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).
Others
To enrol in this subject you will need to pass (UNE-MTHS110 or UNE-MTHS120 or UNE-MTHS130) subjects. 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 (UNE-MTHS110 or UNE-MTHS120 or UNE-MTHS130).
Additional requirements
- 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. Please refer students to link for requirements: http://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.
Study load
- 0.125 EFTSL
- This is in the range of 10 to 12 hours of study each week.
Equivalent full time study load (EFTSL) is one way to calculate your study load. One (1.0) EFTSL is equivalent to a full-time study load for one year.
Find out more information on Commonwealth Loans to understand what this means to your eligibility for financial support.
Related degrees
Once you’ve completed this subject it can be credited towards one of the following courses
Diploma in Information Technology
UndergraduateUNE-INF-DIP
UndergraduateUNE-DSC-DIP