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INFO3315: Human-Computer Interaction (2010 - Semester 2)

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Unit: INFO3315: Human-Computer Interaction (6 CP)
Mode: Normal-Day
On Offer: Yes
Level: Senior
Faculty/School: School of Computer Science
Unit Coordinator/s: Dr Chung, Vera
Session options: Semester 2
Versions for this Unit:
Campus: Camperdown/Darlington
Pre-Requisites: None.
Brief Handbook Description: This unit will introduce techniques to evaluate software user interfaces using heuristic evaluation and user observation techniques. Students will (i) learn how to design formal experiments to evaluate usability hypotheses and (ii) apply user-centered design and usability engineering principles to design software user interfaces. A brief introduction to the psychological aspects of human-computer interaction will be provided.
Assumed Knowledge: INFO2110.
Timetable: INFO3315 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Laboratory 1.00 1 12
2 Lecture 2.00 1 13
T&L Activities: Lecture: 2 hours lecture per week for 13 weeks

Attributes listed here represent the key course goals (see Course Map tab) designated for this unit. The list below describes how these attributes are developed through practice in the unit. See Learning Outcomes and Assessment tabs for details of how these attributes are assessed.

Attribute Development Method Attribute Developed
i) ability to exercise critical decision making in defining solutions, and an understanding of the design process.
ii) ability to design and conduct experiments and to analyse and interpret data from those experiments.
iii) appreciation that systems are composed of components spanning the whole of the engineering discipline, and that a basic understanding of the concepts behind these disciplines outside of ones own is important.
Design and Problem Solving Skills (Level 3)

For explanation of attributes and levels see Engineering/IT Graduate Attribute Matrix 2009.

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.

Design and Problem Solving Skills (Level 3)
1. Students will have the ability to evaluate software user interfaces using heuristic evaluation and user observation techniques.
2. students will have the ability to conduct simple formal experiments to evaluate usability hypotheses.
3. Students will have the ability to apply user centered design and usability engineering principles as they design a wide variety of software user interfaces.
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Lab Skills Yes 10.00 Multiple Weeks 2,
2 Quiz No 10.00 Week 6 1,
3 Assignment Yes 20.00 Week 12 1, 2, 3,
4 Final Exam No 60.00 Exam Period 1, 2, 3,
Assessment Description: Lab Skills: Lab participation

Quiz: mid term quiz

Assignment: Group assignment

Final Exam: 2 hours written Examination
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.
Policies & Procedures: The faculty attempts to maintain consistency and quality in its T&L operations by adhering to Academic Board policy. These policies can be found on the Central Policy Online site. A brief summary of the relevant T&L policies that should be referred to while filling in these forms can be found at the Faculty of Engineering and Information Technologies Policy Page.
Prescribed Text/s: Note: Students are expected to have a personal copy of all books listed.

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 to HCI
Week 2 Fundamental to HCI
Week 3 PAC-ID
Week 4 Understanding Users
Week 5 Conceptualising interaction
Week 6 affective computing
Assessment Due: Quiz
Week 7 CSCW
Week 8 Design life cycle, user requirements
Week 9 Design and PRototyping
Week 10 Usability Engineering
Week 11 Evaluation techniques
Week 12 Challenges, opportunities & Future directions in HCI
Assessment Due: Assignment
Week 13 Revision
Exam Period Final Exam
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 (Software Development) 2021, 2022, 2023, 2024, 2025, 2018, 2019, 2020
Bachelor of Advanced Computing (Software Development) - Mid-Year 2021, 2022, 2023, 2024, 2025
Software Engineering (mid-year) 2016, 2017, 2021, 2022, 2023, 2024, 2025
Software Engineering 2015, 2016, 2017, 2021, 2022, 2023, 2024, 2025
Software / Arts (2022 and earlier) 2015, 2016, 2017, 2021, 2022
Software / Commerce 2015, 2016, 2017, 2021, 2022
Software / Project Management 2015, 2016, 2017
Software / Science 2015, 2016, 2017, 2021, 2022, 2023, 2024, 2025
Software / Law 2015, 2016, 2017, 2021, 2022
Software Engineering / Arts 2011, 2012, 2013, 2014
Software Engineering / Commerce 2010, 2011, 2012, 2013, 2014
Software Engineering / Medical Science 2011, 2012, 2013, 2014
Software Engineering / Science 2011, 2012, 2013, 2014
Software Engineering / Law 2010, 2011, 2012, 2013, 2014
Advanced Computing / Science 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025
Advanced Computing / Science (Medical Science) 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025
Bachelor of Advanced Computing (Computational Data Science) 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025
Advanced Computing / Commerce 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025
Bachelor of Advanced Computing (Computational Data Science) - Mid-Year 2021, 2022, 2023, 2024, 2025
Bachelor of Advanced Computing (Computer Science) 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025
Bachelor of Advanced Computing (Cybersecurity) 2022, 2023, 2024, 2025
Bachelor of Advanced Computing (Computer Science) - Mid-Year 2021, 2022, 2023, 2024, 2025
Bachelor of Advanced Computing (Cybersecurity) - Mid-Year 2021, 2022, 2023, 2024, 2025
Bachelor of Advanced Computing (Information Systems) (not offered from 2022+) 2018, 2019, 2020, 2021
Bachelor of Computer Science and Technology 2015, 2016, 2017, 2025
Aeronautical Engineering / Science 2011, 2012, 2013, 2014
Aeronautical Engineering (Space) / Science 2011, 2012, 2013, 2014
Biomedical Engineering / Science 2013, 2014
Chemical & Biomolecular Engineering / Science 2011, 2012, 2013, 2014
Civil Engineering / Science 2011, 2012, 2013, 2014
Electrical Engineering (Bioelectronics) / Science 2011, 2012
Electrical Engineering / Science 2011, 2012, 2013, 2014
Electrical Engineering (Computer) / Science 2014
Electrical Engineering (Power) / Science 2011, 2012, 2013, 2014
Electrical Engineering (Telecommunications) / Science 2011, 2012, 2013, 2014
Aeronautical / Science 2015, 2016, 2017
Aeronautical with Space / Science 2015
Biomedical Engineering (mid-year) 2016, 2017, 2018, 2019, 2020
Biomedical Engineering 2016, 2017, 2018, 2019, 2020
Biomedical /Science 2015, 2016, 2017
Chemical & Biomolecular / Science 2015
Civil / Science 2015
Electrical / Science 2015
Mechanical / Science 2015, 2016, 2017
Mechanical with Space / Science 2015
Mechatronic / Science 2015, 2016, 2017
Mechatronic with Space / Science 2015
Software / Project Management 2019+ 2021, 2022, 2023, 2024, 2025
Software / Arts 2023+ 2023, 2024, 2025
Software / Commerce 2023+ 2023, 2024, 2025
Software / Science (Health) 2021, 2022
Software / Science - Mid Year 2023, 2024, 2025
Software / Law 2023+ 2023, 2024, 2025
Mechanical Engineering (Biomedical) / Science 2011, 2012
Mechanical Engineering / Science 2011, 2012, 2013, 2014
Mechanical Engineering (Space) / Science 2011, 2012, 2013, 2014
Mechatronic Engineering / Science 2011, 2012, 2013, 2014
Mechatronic Engineering (Space) / Science 2011, 2012, 2013, 2014
Project Engineering and Management (Civil) / Science 2011
Software / Science (Medical Science Stream) 2021, 2022
Flexible First Year (Stream A) / Science 2012

Course Goals

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

Attribute Practiced Assessed
Design and Problem Solving Skills (Level 3) Yes 99.99%
Discipline Specific Expertise (Level 4) No 0%
Fundamentals of Science and Engineering (Level 3) No 0%
Information Skills (Level 3) No 0%
Professional Communication (Level 3) No 0%
Professional Values, Judgement and Conduct (Level 2) No 0%
Teamwork and Project Management (Level 2) No 0%

These goals are selected from Engineering/IT Graduate Attribute Matrix 2009 which defines overall goals for courses where this unit is primarily offered. See Engineering/IT Graduate Attribute Matrix 2009 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.