ENGEN103-19A (TGA)

Engineering Computing

15 Points

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

Staff

Edit Staff Content

Convenor(s)

Lecturer(s)

Jessica Turner

Jessica Turner
3585
G.1.21
To be advised
jessica.turner@waikato.ac.nz

Administrator(s)

Placement Coordinator(s)

Tutor(s)

Student Representative(s)

Lab Technician(s)

Librarian(s)

: debby.dada@waikato.ac.nz

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.
Edit Staff Content

Paper Description

Edit Paper Description Content
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.
Edit Paper Description Content

Paper Structure

Edit Paper Structure Content
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.
Edit Paper Structure Content

Learning Outcomes

Edit Learning Outcomes Content

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:
Edit Learning Outcomes Content
Edit Learning Outcomes Content

Assessment

Edit Assessments Content

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, which ever 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.

Edit Additional Assessment Information Content

Assessment Components

Edit Assessments Content

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. Pop Quiz
1
  • Hand-in: In Tutorial
2. Practical Test 1
20 Mar 2019
No set time
5
  • Hand-in: In Lab
3. Practical Test 2
10 Apr 2019
No set time
15
  • Hand-in: In Lab
4. Practical Test 3
29 May 2019
No set time
15
  • Hand-in: In Lab
5. Written Test
10 May 2019
12:00 PM
10
  • Hand-in: In Lecture
6. Tutorial Hand Ins (10)
5
  • Hand-in: In Tutorial
7. Moodle Quizzes (10)
5
  • Online: Submit through Moodle
8. Practical Exercises (11)
11
  • Hand-in: In Lab
9. Exam
33
✔
Assessment Total:     100    
Failing to complete a compulsory assessment component of a paper will result in an IC grade
Edit Assessments Content

Required and Recommended Readings

Edit Required Readings Content

Required Readings

Edit Required Readings Content

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

Edit Required Readings Content

Other Resources

Edit Other Resources Content
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.
Edit Other Resources Content

Online Support

Edit Online Support Content
Edit Online Support Content

Workload

Edit Workload Content

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
Edit Workload Content

Linkages to Other Papers

Edit Linkages Content

Prerequisite(s)

Corequisite(s)

Equivalent(s)

Restriction(s)

Restricted papers: COMPX101, COMP103, ENGG182

Edit Linkages Content