Note: This unit version is currently under review and is subject to change!

INFO1111: Computing 1A Professionalism (2019 - Semester 1)

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Unit: INFO1111: Computing 1A Professionalism (6 CP)
Mode: Normal-Day
On Offer: Yes
Level: Junior
Faculty/School: School of Computer Science
Unit Coordinator/s: Lowe, David
Gorji, Niku
Session options: Semester 1
Versions for this Unit:
Campus: Camperdown/Darlington
Pre-Requisites: None.
Prohibitions: ENGG1805 OR ENGG1111 OR ENGD1000.
Brief Handbook Description: This unit introduces students to the fundamental principles that underlie professional practice in computing. It lays the foundation for later studies, and presents to the students challenges common to a multidisciplinary IT environment. The subject also provides students with the opportunity to develop important attributes such as communication skills, an understanding of professional ethics, and of working as a part of a team. Tool use is an important aspect of this unit: students are required to learn to use tools for planning and completing work, managing artefacts including reports, and communicating within the team. A selection of guest speakers will address students on different career paths.
Assumed Knowledge: None.
Lecturer/s: Lowe, David
Gorji, Niku
Timetable: INFO1111 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Lecture 1.00 13
2 Laboratory 2.00 13
3 Independent Study 2.00 13
4 Project Work - own time 3.00 13
T&L Activities: For practical work in labs and for the assignment, students will form groups early in the semester; each group will choose a social media site and app, and the group will use this as the context for activities throughout the semester, looking at it from the lens of each major and practicing skills in communication, teamwork, problem-solving and ethics consideration.

Learning outcomes are the key abilities and knowledge that will be assessed in this unit. They are listed according to the course goal supported by each. See Assessment Tab for details how each outcome is assessed.

(8) Professional Effectiveness and Ethical Conduct (Level 2)
1. Analyse and evaluate situations where ethical issues arise within IT professional activities, and relate the choices to ethical frameworks as well as professional standards and requirements
2. Explain the principles behind problem-solving in a professional IT environment and apply these to example problems
3. Explain the theoretical concepts and principles of intellectual property and its protection.
4. Explain and give examples of the principles governing participation in a professional IT context including codes of practice, professional standards and legislative and statutory requirements
(7) Project and Team Skills (Level 2)
5. Track issues, and manage group work and communication for a small scale project using project methodologies and tools. Evaluate the limits and capabilities of the project tools.
6. Negotiate and evaluate team responsibilities and team processes with respect to the various points of view of team members.
7. Execute defined project tasks within a predefined project context in small diverse teams
8. Carry out the processes of the small team project according to professional codes and principles and then compare the process to what one would expect to find in a large-scale professional IT environment
(6) Communication and Inquiry/ Research (Level 2)
9. Confidently use IT specific language and concepts in communication
10. Formulate queries about a particular topic, research, retrieve relevant information from digital and other sources, evaluate it for reliability and synthesise it for a task Adapt communication to meet the format and needs of the audience including producing a written report and delivering an oral presentation
(2) Engineering/ IT Specialisation (Level 1)
11. Explain and give examples of the scope of activities and responsibilities of professionals working in the areas of information technology and how these are described by the degree major options
12. Reflect on, and assess, own skills and attributes to create a professional development plan.
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Assignment - written report Yes 15.00 Week 13 7, 8, 9, 10, 11,
2 Assignment - oral presentation Yes 10.00 Week 12 7, 8, 9, 10, 11,
3 Assignment - team work and tool use No 10.00 Multiple Weeks 5, 6, 7, 8, 12,
4 Professional Development Plan No 5.00 Multiple Weeks 12,
5 Quiz No 10.00 Week 9 1, 2, 4, 5, 9, 11,
6 Final Exam No 50.00 Exam Period 1, 3, 4, 5, 6, 8, 11,
Assessment Description: Assignment: Early in the semester, students will form groups within their tutorial classes. The assignment will require each group to generate multiple reports and document the reports online in a collaborative manner. The assignment will be assessed in a number of ways: the report to be produced by the group; the oral presentation to be given by the group; and the group work skills demonstrated in completing the project (using the tools and processes specified, applying professional IT practice, team interaction etc)

Professional Development Plan: a structured self assessment and planning process used to help students identify the skills they need to be developed for professional IT practice.

Team Profile and Capability Assessment: a structured team analysis and assessment process to use in developing and reflecting on team skills through the unit.

Quiz: Assessment and feedback of students’ learning of the conceptual material and terminology.

Final Exam: Summative check on the conceptual material and terminology covering all the course work. The exam will require each student to report and reflect on their project activities.
Grading:
Grade Type Description
Standards Based Assessment Final grades in this unit are awarded at levels of HD for High Distinction, DI (previously D) for Distinction, CR for Credit, PS (previously P) for Pass and FA (previously F) for Fail as defined by University of Sydney Assessment Policy. Details of the Assessment Policy are available on the Policies website at http://sydney.edu.au/policies . Standards for grades in individual assessment tasks and the summative method for obtaining a final mark in the unit will be set out in a marking guide supplied by the unit coordinator.
Minimum Pass Requirement It is a policy of the School of Computer Science that in order to pass this unit, a student must achieve at least 40% in the written examination. For subjects without a final exam, the 40% minimum requirement applies to the corresponding major assessment component specified by the lecturer. A student must also achieve an overall final mark of 50 or more. Any student not meeting these requirements may be given a maximum final mark of no more than 45 regardless of their average.
Policies & Procedures: IMPORTANT: School policy relating to Academic Dishonesty and Plagiarism.

In assessing a piece of submitted work, the School of Computer Science may reproduce it entirely, may provide a copy to another member of faculty, and/or to an external plagiarism checking service or in-house computer program and may also maintain a copy of the assignment for future checking purposes and/or allow an external service to do so.

Other policies

See the policies page of the faculty website at http://sydney.edu.au/engineering/student-policies/ for information regarding university policies and local provisions and procedures within the Faculty of Engineering and Information Technologies.

Note that the "Weeks" referred to in this Schedule are those of the official university semester calendar https://web.timetable.usyd.edu.au/calendar.jsp

Week Description
Week 1 Introduction; Professionalism
Week 2 The ICT Professionals and Teams
Week 3 Communication and Collaboration
Week 4 Information Retrieval
Week 5 ICT Problem Solving: Designing abstractions, model-building
Week 6 Intellectual Property
Week 7 Ethics
Week 8 Systems
Week 9 Computer Science
Other: Guest Speaker
Assessment Due: Quiz
Week 10 Software Development
Other: Guest Speaker
Week 11 Data Science
Other: Guest Speaker
Week 12 Information Systems
Other: Guest Speaker
Assessment Due: Assignment - oral presentation
Week 13 Review
Assessment Due: Assignment - written report
Exam Period Assessment Due: Final Exam

Course Relations

The following is a list of courses which have added this Unit to their structure.

Course Year(s) Offered
Bachelor of Advanced Computing/Bachelor of Commerce 2018, 2019
Bachelor of Advanced Computing/Bachelor of Science 2018, 2019
Bachelor of Advanced Computing/Bachelor of Science (Health) 2018, 2019
Bachelor of Advanced Computing/Bachelor of Science (Medical Science) 2018, 2019
Bachelor of Advanced Computing (Computational Data Science) 2018, 2019
Bachelor of Advanced Computing (Computer Science Major) 2018, 2019
Bachelor of Advanced Computing (Information Systems Major) 2018, 2019
Bachelor of Advanced Computing (Software Development) 2018, 2019
Bachelor of Computer Science & Tech. Mid-Year 2016, 2017
Bachelor of Computer Science and Technology 2016, 2017
Bachelor of Computer Science and Technology (Advanced) 2016, 2017
Bachelor of Information Technology 2015, 2016, 2017
Bachelor of Information Technology/Bachelor of Arts 2015, 2016, 2017
Bachelor of Information Technology/Bachelor of Commerce 2015, 2016, 2017
Bachelor of Information Technology/Bachelor of Medical Science 2016, 2017
Bachelor of Information Technology/Bachelor of Science 2015, 2016, 2017
Bachelor of Information Technology/Bachelor of Laws 2015, 2016, 2017

Course Goals

This unit contributes to the achievement of the following course goals:

Attribute Practiced Assessed
(8) Professional Effectiveness and Ethical Conduct (Level 2) No 36%
(7) Project and Team Skills (Level 2) No 30%
(6) Communication and Inquiry/ Research (Level 2) No 13%
(2) Engineering/ IT Specialisation (Level 1) No 21%

These goals are selected from Engineering & IT Graduate Outcomes Table 2018 which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table 2018 for details of the attributes and levels to be developed in the course as a whole. Percentage figures alongside each course goal provide a rough indication of their relative weighting in assessment for this unit. Note that not all goals are necessarily part of assessment. Some may be more about practice activity. See Learning outcomes for details of what is assessed in relation to each goal and Assessment for details of how the outcome is assessed. See Attributes for details of practice provided for each goal.