ENGEN103-19T (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)

Tim Elphick

Tim Elphick
4411
R.G.13
To be advised
tim.elphick@waikato.ac.nz

Lecturer(s)

Administrator(s)

Placement Coordinator(s)

Tutor(s)

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 introduces computer programming in languages such as C# and Python. It provides the basis for the programming skills required in more advanced papers within the School of Engineering.
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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 course should be able to:

  • Understand the foundations of Computer Science and use computer systems to support engineering practice

    The specific attributes that successful students will acquire are:

      • The ability to design, build and execute programs using both an editor and command-line tools.

      • The ability to use a broad range of programming constructs and language supported data structures to process data including:

      • applying these constructs to solve engineering problems

      • working with large >The ability to explain in general terms a range of foundational computer science concepts, such as number systems, file systems, regular expressions, and algorithms.

      • The ability to apply the principles and examples learned to new problems in an engineering context.

    Linked to the following assessments:
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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.

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Assessment Components

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The internal assessment/exam ratio (as stated in the University Calendar) is 100:0. There is no final exam. The final exam makes up 0% of the overall mark.

The internal assessment/exam ratio (as stated in the University Calendar) is 100:0 or 0:0, whichever is more favourable for the student. The final exam makes up either 0% or 0% of the overall mark.

Component DescriptionDue Date TimePercentage of overall markSubmission MethodCompulsory
1. Practical Test 1
22 Nov 2019
10:00 AM
5
  • Hand-in: In Lab
2. Practical Test 2
6 Dec 2019
10:00 AM
15
  • Hand-in: In Lab
3. Practical Test 3
20 Dec 2019
10:00 AM
15
  • Hand-in: In Lab
4. Tutorial Hand Ins (10)
5
  • Hand-in: In Tutorial
5. Moodle Quizzes (10)
5
  • Online: Submit through Moodle
6. Practical Exercises (11)
22
  • Hand-in: In Lab
7. Exam/Written Test
18 Dec 2019
2:00 PM
33
  • Hand-in: In Lecture
✔
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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Introduction to Python for Computational Science and Engineering (A beginner’s guide to Python 3) by Prof Hans Fangohr . Available from https://github.com/fangohr/introduction-to-python-for-computational-science-and-engineering

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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 20 hours per week on this paper, in the following proportions:

    Lectures (including watching recorded lectures)2-3
    Tutorials
    		4-5
    Supervised Labs
    		10
    Private Study and Unsupervised Lab work

    2-3

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Linkages to Other Papers

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Prerequisite(s)

Corequisite(s)

Equivalent(s)

Restriction(s)

Restricted papers: COMPX101, COMP103, ENGG182

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