COMP3851AComputing and Information Sciences Work Integrated Learning Part A

Available in 2024
Course code

COMP3851A

Units

10 units

Level

3000 level

2024 Course Timetables

Course handbook

Description

This course is Part A of a multi-term sequence incorporating Work Integrated Learning (WIL). Part B must also be completed to meet the requirements of the sequence. This Work Integrated Learning course allows you to apply the theoretical knowledge and skills obtained during your studies with and for an organisation. Through these courses (Part A and Part B), you will work on a project related to the fields of computer science, data science, and/or information technology. The work is undertaken in an organisation (industry, research groups or laboratories) or as an innovative proposal that has been approved by the course coordinator. In your project you will develop an entrepreneurial prototype which requires you to incorporate computer science, data science, and/or information technology skills into their practices. This direct experience exposes you to the project management practices of managers and/or researchers. Under supervision and in a group work environment, you will undertake between 240 and 280 hours of project-based work, and a Work Integrated Learning Experience within the year, with one or more appropriate organisations. For the Work Integrated Learning Experience, you will undertake 140 hours (equivalent to nominally 4-weeks full-time) in a role relevant to the professional context of your program. This experience may be undertaken within a range of settings, including the private sector, government, other relevant organisations, or with an industry project partner. The student will have an active role in organising this experience, however, students will need to consult with the Course Coordinator prior to approaching companies or organisations. The Course Coordinator will ensure the experience is appropriate and does not adversely affect other existing activities or courses of the University. A nominated supervisor within the host organisation will be required.

Availability2024 Course Timetables

Singapore PSB

  • Trimester 1 - 2024 (Singapore)
  • Trimester 2 - 2024 (Singapore)

Callaghan

  • Semester 1 - 2024
  • Semester 2 - 2024

Multi-term sequence

This course is part of a multi-term sequence. Both Part A and Part B must be completed to meet the requirements of the sequence. Part A and Part B must be completed in consecutive terms. Students must complete Part A before completing Part B. Students must complete the sequence within a twelve month period. If students complete Part A but are unable to complete Part B within the timeframe, they must re-enrol in Part A. Part A cannot be completed as a standalone course, it will only count towards your program once you have successfully completed Part B.

Replacing course(s)

This course replaces the following course(s): COMP3850. Students who have successfully completed COMP3850 are not eligible to enrol in COMP3851A.

Learning outcomes

On successful completion of the course students will be able to:

1. Identify and plan the application of a suite of computer science, data science and/or information technology skills learnt in the program to a specific project

2. Critically set objectives and evaluate partial outcomes

3. Demonstrate and reflect upon the skills required for the workplace, including both written and verbal communication, and teamwork

4. Apply theoretical knowledge to practical workplace tasks

5. Critically reflect on the ethical and technical issues faced in the workplace

Content

This course comprises activities based on planning, developing, reporting and critically reflecting on a major activity related to computer science, data science, and/or information technology. Students will:

  1. Apply for, secure and start a project related to computer science, data science and/or information technology areas, approved by the course coordinator
  2. Prepare a 'Program of Activity Agreement' which should be signed by the student, project supervisor and course coordinator
  3. Collaborate to plan, carry out and report on an appropriate project
  4. Complete at least 100 hours in Part A with an organisation which requires computer science, data science and/or information technology expertise (the total number of hours in Part A and B combined should be between 240 and 280 hours)
  5. Record, report and critically reflect on the project undertaken
  6. Prepare and deliver a seminar to describe the activities undertaken during the project
  7. Describe and analyse ethical and technical issues relating to real world research and practice.
  8. Complete a Pre-Work Integrated Learning module online.
  9. Complete 140 hours of Work Integrated Learning Experience.

Requisite

Students cannot enrol in this course if they have successfully completed COMP3850.

This course is only available to students enrolled in the

Bachelor of Information Technology [11497],

Bachelor of Information Technology/Bachelor of Business [12238],

Bachelor of Computer Science [40103],

Bachelor of Mathematics/ Bachelor of Computer Science [10253],

Bachelor of Data Science [40276],

Bachelor of Data Science/Bachelor of Mathematics [40277],

Bachelor of Data Science/Bachelor of Computer Science [40278] programs.

Assumed knowledge

Successful completion of at least 140 units of study.

Assessment items

Proposal / Plan: Project Plan
Compulsory Requirement: Pass requirement - Must pass this assessment item to pass the course.

Report: Written Report
Compulsory Requirement: Pass requirement - Must pass this assessment item to pass the course.

Presentation: Seminar
Compulsory Requirement: Pass requirement - Must pass this assessment item to pass the course.

Quiz: Quizzes
Compulsory Requirement: Pass requirement - Must pass this assessment item to pass the course.

Report: Supervisor Report

Contact hours

Trimester 1 - 2024 (Singapore) - Singapore PSB

Lecture-1
  • Face to Face On Campus 2 hour(s) per week(s) for 1 week(s) starting in week 7
Lecture-2
  • Face to Face On Campus 2 hour(s) per week(s) for 2 week(s) starting in week 1
Lecture-3
  • Face to Face On Campus 2 hour(s) per week(s) for 1 week(s) starting in week 12
Placement-1
  • Face to Face Off Campus 140 hour(s) per term
  • Students will be expected to attend 140 hours per term.
Workshop-1
  • Face to Face On Campus 2 hour(s) per week(s) for 13 week(s) starting in week 1

Semester 1 - 2024 - Callaghan

Lecture-1
  • Face to Face On Campus 2 hour(s) per week(s) for 1 week(s) starting in week 12
Lecture-2
  • Face to Face On Campus 2 hour(s) per week(s) for 2 week(s) starting in week 1
Lecture-3
  • Face to Face On Campus 2 hour(s) per week(s) for 1 week(s) starting in week 7
Placement-1
  • Face to Face Off Campus 140 hour(s) per term
  • Students will be expected to attend 140 hours per term.
Workshop-1
  • Face to Face On Campus 2 hour(s) per week(s) for 13 week(s) starting in week 1

Trimester 2 - 2024 (Singapore) - Singapore PSB

Lecture-1
  • Face to Face On Campus 2 hour(s) per week(s) for 1 week(s) starting in week 7
Lecture-2
  • Face to Face On Campus 2 hour(s) per week(s) for 1 week(s) starting in week 12
Lecture-3
  • Face to Face On Campus 2 hour(s) per week(s) for 2 week(s) starting in week 1
Placement-1
  • Face to Face Off Campus 140 hour(s) per term
  • Students will be expected to attend 140 hours per term.
Workshop-1
  • Face to Face On Campus 2 hour(s) per week(s) for 13 week(s) starting in week 1

Semester 2 - 2024 - Callaghan

Lecture-1
  • Face to Face On Campus 2 hour(s) per week(s) for 1 week(s) starting in week 12
Lecture-2
  • Face to Face On Campus 2 hour(s) per week(s) for 2 week(s) starting in week 1
Lecture-3
  • Face to Face On Campus 2 hour(s) per week(s) for 1 week(s) starting in week 7
Placement-1
  • Face to Face Off Campus 140 hour(s) per term
  • Students will be expected to attend 140 hours per term.
Workshop-1
  • Face to Face On Campus 2 hour(s) per week(s) for 13 week(s) starting in week 1

Course outline