Introduction to Scientific Programming

• • 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:

UNE-MTHS110-Quantitative Skills with Applications, or UNE-MTHS120-Calculus and Linear Algebra 1, or UNE-MTHS130-Calculus and Linear Algebra 2 ;

Special requirements

• 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%)