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INFO9003: Information Technology for Health Professionals (2019 - Semester 2 Block Mode)

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Unit: INFO9003: Information Technology for Health Professionals (6 CP)
Mode: Block Mode
On Offer: Yes
Level: Postgraduate
Faculty/School: School of Computer Science
Unit Coordinator/s: A/Prof Poon, Simon
Session options: Semester 2 Block Mode
Versions for this Unit:
Campus: Camperdown/Darlington
Pre-Requisites: None.
Prohibitions: INFO5003.
Brief Handbook Description: Information technologies (IT) and systems have emerged as the primary platform to support communication, collaboration, research, decision making, and problem solving in contemporary health organisations. The essential necessity for students to acquire the fundamental knowledge and skills for applying IT effectively for a wide range of tasks is widely recognised. This is an introductory unit of study which prepares students in the Health discipline to develop the necessary knowledge, skills and abilities to be competent in the use of information technology for solving a variety of problems. The main focus of this unit is on modelling and problem solving through the effective use of using IT. Students will learn how to navigate independently to solve their problems on their own, and to be capable of fully applying the power of IT tools in the service of their goals in their own health domains while not losing sight of the fundamental concepts of computing.

Students are taught core skills related to general purpose computing involving a range of software tools such as spreadsheets, database management systems, internet search engine. Students will undertake practical tasks including scripting languages and building a small scale application for managing information. In addition, the course will address the issues arising from the wide-spread use of information technology in a variety of Health area.
Assumed Knowledge: None.
Lecturer/s: A/Prof Poon, Simon
Tutor/s: Christopher Natoli - christopher.natoli@sydney.edu.au
Timetable: INFO9003 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Workshop over weekend 10.00 1 3
2 Project Work - own time 4.00 1 13

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.

Unassigned Outcomes
1. Understanding of modern concepts, principles and practical approaches to using information technology in health area.
2. Ability to analyse, translate and solve a health problem through the designing and developing application by effective use of internet search tools, spreadsheet, databases and other standard software packages.
3. Ability to develop simple conceptual data models and manage data using appropriate DBMS software.
4. Ability to develop models and implement models using tools, e.g. Microsoft Excel.
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Spreadsheet Assignment No 25.00 Week 3 1, 2, 4,
2 Database Design Exercise No 30.00 Week 8 1, 3,
3 Database Project No 40.00 Week 13 1, 2, 3,
4 Participation and Discussion No 5.00 Multiple Weeks 1, 2, 3, 4,
Assessment Description: There are three assessments: (1) spreadsheet assessment (2) database design (3) database implementation
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 on Resources: Students are expected to purchase a guided learning workbook developed for this unit of study.

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 Spreadsheet
Week 3 Assessment Due: Spreadsheet Assignment
Week 4 Database: Data Modelling and Mapping Conceptual Model to Tables
Week 8 Assessment Due: Database Design Exercise
Week 9 Database: SQL, Forms and Reports
Week 13 Assessment Due: Database Project

Course Relations

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

Course Year(s) Offered
Graduate Certificate in Information Technology 2015, 2016, 2017, 2018, 2019, 2020
Graduate Certificate in Information Technology Management 2017, 2018, 2019, 2020
Graduate Diploma in Health Technology Innovation 2015, 2016, 2017, 2018, 2019, 2020
Graduate Diploma in Information Technology 2015, 2016, 2017, 2018, 2019, 2020
Graduate Diploma in Information Technology Management 2017, 2018, 2019, 2020
Master of Health Technology Innovation 2015, 2016, 2017, 2018, 2019, 2020
Master of Information Technology 2015, 2016, 2017, 2018, 2019, 2020
Master of Information Technology Management 2017, 2018, 2019, 2020
Master of IT/Master of IT Management 2015, 2016, 2017, 2018, 2019, 2020

Course Goals

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

Attribute Practiced Assessed
(2) Engineering/ IT Specialisation (Level 2) No 0%

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.