ENGEN10323A (HAM)
Engineering Computing
15 Points
Staff
Convenor(s)
Jacob Heerikhuisen
4773
G.3.08
jacob.heerikhuisen@waikato.ac.nz

Tutor(s)
Librarian(s)
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What this paper is about
This paper provides an introduction to programming and problem solving using the MATLAB and Python programming languages. Emphasis is placed on applications to engineering problems. The paper covers basic programming concepts such as conditional statements, loops, functions, basic data types and data structures, and file input and output. This paper is designed primarily for students enrolled in the BE(Hons).
The learning outcomes for this paper are linked to Washington Accord graduate attributes WA1WA11. Explanation of the graduate attributes can be found at: https://www.ieagreements.org/
How this paper will be taught
Lectures introduce new material, with the third lecture featuring a worked example in an engineering context. Tutorials extend the understanding of the topics covered in the paper through discussion, and individual and group exercises. The practicals for this paper give crucial 'handson' experience that is necessary to meet the learning outcomes for the paper. Practical exercises not completed during the chosen two lab sessions each week are completed in the students own time and during the Friday catchup lab.
Resources in the form of lecture notes, videos of lectures, course outline, background material, various user guides, lab and test sign ups, practice tests, sample code, data files and weekly quizzes will be made available through the course Moodle website. Also available on the course Moodle website will be support through various interactive forums. Class attendance is expected. The lecture material, tutorials and laboratory practicals are all integral parts of the paper. Failure to attend any of these means the student may miss material not presented elsewhere.
Required Readings
MATLAB: A Practical Introduction to Programming and Problem Solving (Fifth Edition)
by Stormy Attaway Ph.D. Boston University
Python for Computational Science and Engineering (on Github)
by Hans Fanghor Ph.D. Southampton
You will need to have
Learning Outcomes
Students who successfully complete the course should be able to:
Assessments
How you will be assessed
Assessment submission and assessment is managed in different ways depending on the type of assessment. The assessment description will explain how your work will be assessed and how to submit it if that is required.
An overall mark of 50% and a minimum of 40% in the final exam is required to pass this paper. Students who fall just below these requirements may be awarded an RP grade which counts as a pass but does not permit the paper to be used as a prerequisite. The final exam is the only ‘compulsory assessment item’. If you do not attend the exam, you will receive an IC grade for the paper (unless you make a successful special consideration application). Note that you are extremely unlikely to pass this paper by only completing the "compulsory" assessment item (the final exam), even with the exam weighted at two thirds.
Your final grade will be based on a ratio of the internal work to the exam of 2:1 or 1:2, whichever is in your favour. The information and the table below is the most common case which is 2/3 internal and 1/3 exam. Halve the internal components and double the exam to get an approximation of the other weightings.
Samples of your work may be required as part of the Engineering New Zealand accreditation process for BE(Hons) degrees. Any samples taken will have the student name and ID redacted. If you do not want samples of your work collected then please email the engineering administrator, Natalie Shaw (natalie.shaw@waikato.ac.nz), to opt out.
Please note that, as part of any assessment, students may be asked to complete an oral examination (viva voce) at a later date.
The internal assessment/exam ratio (as stated in the University Calendar) is 33:67 or 67:33, whichever is more favourable for the student. The final exam makes up either 67% or 33% of the overall mark.