ENGEN103-22A (HAM)

Engineering Computing

15 Points

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Division of Health Engineering Computing & Science
School of Computing and Mathematical Sciences
Department of Computer Science

Staff

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Convenor(s)

Jacob Heerikhuisen

Jacob Heerikhuisen
4773
G.3.08
See Moodle
jacob.heerikhuisen@waikato.ac.nz

Marinho Pilla Barcellos

Marinho Pilla Barcellos
G.1.05
See Moodle
marinho.pillabarcellos@waikato.ac.nz

Lecturer(s)

Administrator(s)

Placement/WIL Coordinator(s)

Tutor(s)

: tim.elphick@waikato.ac.nz

Student Representative(s)

Lab Technician(s)

Librarian(s)

You can contact staff by:

  • Calling +64 7 838 4466 select option 1, then enter the extension.
  • Extensions starting with 4, 5, 9 or 3 can also be direct dialled:
    • For extensions starting with 4: dial +64 7 838 extension.
    • For extensions starting with 5: dial +64 7 858 extension.
    • For extensions starting with 9: dial +64 7 837 extension.
    • For extensions starting with 3: dial +64 7 2620 + the last 3 digits of the extension e.g. 3123 = +64 7 262 0123.
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Paper Description

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This paper provides an introduction to programming and problem solving using the MATLAB programming language. 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.

The learning outcomes for this paper are linked to Washington Accord graduate attributes WA1-WA11. Explanation of the graduate attributes can be found at: https://www.ieagreements.org/

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Paper Structure

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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.
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Learning Outcomes

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Students who successfully complete the paper should be able to:

  • Design, build and execute programs using both an editor and command-line tools. (WA3)
    Linked to the following assessments:
    • Practical Test 1 (1)
    • Practical Test 2 (2)
    • Practical Test 3 (3)
    • Tutorial Hand Ins (20) (5)
    • Practical Exercises (12) (7)
  • Apply a broad range of programming constructs and language supported data structures to process data including applying these constructs to solve engineering problems and working with large data-sets. (WA5)
    Linked to the following assessments:
    • Practical Test 1 (1)
    • Practical Test 2 (2)
    • Practical Test 3 (3)
    • Written Test (4)
    • Tutorial Hand Ins (20) (5)
    • Moodle Quizzes (10) (6)
    • Practical Exercises (12) (7)
    • Exam (8)
  • Explain in general terms a range of foundational computer science concepts, such as number systems, file systems, and algorithms. (WA1)
    Linked to the following assessments:
    • Written Test (4)
    • Tutorial Hand Ins (20) (5)
    • Moodle Quizzes (10) (6)
    • Practical Exercises (12) (7)
    • Exam (8)
  • Apply the computing principles and examples learned to new problems in an engineering context. (WA2)
    Linked to the following assessments:
    • Practical Test 1 (1)
    • Practical Test 2 (2)
    • Practical Test 3 (3)
    • Practical Exercises (12) (7)
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Assessment

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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 pre-requisite. 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.

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Assessment Components

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The internal assessment/exam ratio (as stated in the University Calendar) is 33:67. There is no final exam. The final exam makes up 67% of the overall mark.

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.

Component DescriptionDue Date TimePercentage of overall markSubmission MethodCompulsory
1. Practical Test 1
6 Apr 2022
No set time
5
  • Hand-in: In Lab
2. Practical Test 2
18 May 2022
No set time
15
  • Hand-in: In Lab
3. Practical Test 3
8 Jun 2022
No set time
15
  • Hand-in: In Lab
4. Written Test
2 May 2022
1:00 PM
10
  • Hand-in: In Lecture
5. Tutorial Hand Ins (20)
5
  • Hand-in: In Tutorial
6. Moodle Quizzes (10)
5
  • Online: Submit through Moodle
7. Practical Exercises (12)
12
  • Hand-in: In Lab
8. Exam
33
✔
Assessment Total:     100    
Failing to complete a compulsory assessment component of a paper will result in an IC grade
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Required and Recommended Readings

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Required Readings

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MATLAB: A Practical Introduction to Programming and Problem Solving (Fifth Edition)
by Stormy Attaway Ph.D. Boston University

see Library Reading List

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Other Resources

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You are required to purchase a Lab and Tutorial Manual from Campus Copy. The manual contains the practical and tutorial descriptions. Other resources will be made available in the lab and via Moodle.
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Online Support

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Workload

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Students should expect to spend about 10 hours per week on this paper, in the following proportions:

    Lectures3
    Tutorials
    		2
    Supervised Labs
    		2
    Private Study and Unsupervised Lab work
    		3
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