FIT1055 - IT professional practice and ethics - 2019

6 points, SCA Band 2, 0.125 EFTSL

Undergraduate - Unit

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered.

Faculty

Information Technology

Chief examiner(s)

Dr Nik Nailah

Unit guides

Offered

Malaysia

  • First semester 2019 (On-campus)
  • Second semester 2019 (On-campus)

Prerequisites

Requires a minimum of 12 points of FIT units.

Prohibitions

FIT1049, FIT2003

Synopsis

This unit provides a practical and theoretical foundation in developing the skills required as a Professional IT graduate when entering the workplace. Topics addressed include: professional communication; teamwork; project meetings; professional computing societies code of conduct and ethics; research skills in a professional IT role; ethical reasoning theories; and critical thinking. During this unit, students will be provided with a range of contemporary ethical issues in Artificial Intelligence and Data Science arising from the use and development of current and future computing, wearable and mobile App technologies.

Outcomes

At the completion of this unit students should be able to:

  1. Comprehend a range of communication skills and modes that is effective for presentation, management and entrepreneurial.
  2. Distinguishes a variety of techniques to enhance working collaboratively and managing conflict as part of a team.
  3. Demonstrate research process in gathering and management of information, critical evaluation and responsible dissemination of material into lifelong learning skills.
  4. Conceptualise how various code of ethics - ACM, MNCC, ACS applies to IT professionals in a variety of coding and software development scenarios. In this context, discuss how the code of conducts affect their decision making.
  5. Evaluate variety of ethical reasoning frameworks in making ethical decisions in the context of social, environment and legal aspects issues arriving from their work.
  6. Describe how religious and cultural diversity contributes to solving future IT challenges in AI both locally and internationally.

Assessment

NOTE: From 1 July 2019, the duration of all exams is changing to combine reading and writing time. The new exam duration for this unit is 2 hours and 10 minutes.

Examination (2 hours): 40%, In-semester assessment: 60%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

  1. Contact hours for on-campus students:
    • One 2 hour lecture
    • One 2 hour tutorial
    • One 2 hour career forum and workshop event
  2. Additional requirements (all students):
    • A minimum of 8 hours of personal study in order to satisfy the reading, tutorial, practical and assignment expectations.

See also Unit timetable information