CSMAX570-18A (HAM)

Preparing for the ICT Internship

15 Points

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Faculty of Computing and Mathematical Sciences
Rorohiko me ngā Pūtaiao Pāngarau
Department of Computer Science

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  • Calling +64 7 838 4466 select option 1, then enter the extension.
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Paper Description

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This paper will enable learners to develop the key soft and transferable skills and competencies important to be work-ready and prepared for the internship component of the Master of Information Technology (MInfoTech) programme. These skills, competencies and dispositions will be developed through your active participation in this course. You will be placed in a collaborative software development project which is based in a real-world context. This paper will help you enhance and practise the key soft and transferable skills as well as competencies to be ready for the paper FCMS596 Computer Science Internship.
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Paper Structure

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The paper is structured into a series of interactive workshops and invited speakers from the industry. In the lecture sessions, we will work on developing various skills and competencies to be work-ready through videos, role-plays, discussions and presentations. There is a group project ‘software development project’ which all students are expected to actively participate.
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Learning Outcomes

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Students who successfully complete the course should be able to:

  • evaluate the work progress and reflect on their project experience
    Linked to the following assessments:
  • communicate effectively to foster meaningful collaboration
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  • observe business environments in order to identify behavioural norms and regulations within organisational structures and cultures
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  • prioritise tasks using project management and self-management skills  
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  • demonstrate professional standards and ethics
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  • demonstrate critical thinking, creativity and teamwork
    Linked to the following assessments:
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Assessment

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This course is fully assessed internally. Coursework specifications will be discussed in class and posted to Moodle. Except for the group project, all components such as developing the CV, quizzes, and interviews, are to be completed on an individual basis. Coursework must be submitted by the due date. If you have not completed it, submit what you have done so far. Individual extensions will not be given except for medical circumstances specifically affecting that item of assessment, documented by a medical certificate or counsellor's letter. In the unlikely event that technical problems arise which the instructor considers would merit an extension, the due date for the assignment will be extended for the entire class.
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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. Weekly Reflections
10
  • Other: Google-docs submission
2. CV
19 Mar 2018
4:00 PM
10
  • Online: Submit through Moodle
3. Reviewing own presentation
9 May 2018
12:00 PM
5
  • Presentation: In Class
4. Interview performance
10
  • In Class: In Lecture
5. Quizzes
10
  • In Class: In Lecture
6. Reporting and Presentation of preliminary study and requirements
22 Mar 2018
4:00 PM
15
  • Online: Submit through Moodle
  • Presentation: In Class
7. Reporting and presentation on first prototype
2 May 2018
4:00 PM
15
  • Online: Submit through Moodle
  • Presentation: In Class
8. Presentation on final prototype
24 May 2018
4:00 PM
10
  • Online: Submit through Moodle
  • Presentation: In Class
9. Written report: Final project report and reflection of experience
28 May 2018
4:00 PM
15
  • Online: Submit through Moodle
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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Recommended Readings

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Recommended readings, and other resources will be added to Moodle.
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Online Support

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Further readings and assessment items will be posted on Moodle, as per the rubrics for the assessments.
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Workload

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There will be up to 3 hours of lectures each week. On average, students are expected to spend about 9 hours per week on reading, reflecting, and completing the coursework (CV, project).
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Linkages to Other Papers

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This paper will lead to FCMS596 Computer Science internships.
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Prerequisite(s)

Prerequisite papers: Any 60 points at 500 level from the MInfoTech programme.

Corequisite(s)

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Restriction(s)

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