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ISYS5050: Knowledge Management Systems (2019 - Semester 1)

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Unit: ISYS5050: Knowledge Management Systems (6 CP)
Mode: Normal-Day
On Offer: Yes
Level: Postgraduate
Faculty/School: School of Computer Science
Unit Coordinator/s: Professor Davis, Joseph
Session options: Semester 1
Versions for this Unit:
Site(s) for this Unit:
Campus: Camperdown/Darlington
Pre-Requisites: COMP5206.
Brief Handbook Description: The need to track and facilitate the sharing of the core knowledge resources in contemporary organisations is widely recognised. This course will provide a comprehensive introduction to the area of Knowledge Management (KM) from both technological and organisational perspectives. We will review and discuss a range of published papers, case studies, and other publications that deal with important KM-related topics. One of the key knowledge management technologies, Business Intelligence Systems, will be covered in detail. It will also include hands-on work using the BI (Online Analytical Processing– OLAP) tool, COGNOS and visualisation using Tableau. Some of the main themes to be covered will include: KM- Conceptual Foundations; Taxonomies of organizational knowledge and KM mechanisms; Case/Field Studies of KM Initiatives; Data Warehousing and OLAP/Business Analytics; Semantic Modelling and Knowledge Graphs; Social media,crowdsourcing, and KM; Big data and actionable knowledge.
Assumed Knowledge: COMP5206. An undergraduate degree in Computer Science or Information Systems. Good grasp of database technologies and the role of information systems in organisations. A background course on Introduction to Information Systems.
Additional Notes: Prerequisite for assumed knowledge added
Lecturer/s: Professor Davis, Joseph
Tutor/s: Tutor and Coordinator:rouzbeh meymandpour - rouzbeh.meymandpour@sydney.edu.au
Timetable: ISYS5050 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Lecture 2.00 1 13
2 Tutorial 1.00 1 12
T&L Activities: Lectures, lab work, tutorials

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
The unit of study contributes to professional effectiveness through coverage of methods and techniques for knowledge sharing and management in organisations. (8) Professional Effectiveness and Ethical Conduct (Level 4)

For explanation of attributes and levels see Engineering & IT Graduate Outcomes Table 2018.

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.

(7) Project and Team Skills (Level 4)
1. Effective project and teamwork skills
Unassigned Outcomes
2. Thorough understanding of the conceptual foundations and technological underpinnings of KM
3. Critical reading of the research and related literature on knowledge management,
4. Understanding of the interplay between technical and organisational issues in implementing and using KM systems
5. Ability to conduct an extended requirements analysis of knowledge management tools/systems. Able to identify & monitor changing information and knowledge needs of in the broad domain of Knowledge Management.
6. Ability to provide in-depth analytical reporting of knowledge management tools/systems. Able to convey extensive consideration of theoretical and methodological issues of important knowledge management related topics.
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Quiz 1 No 10.00 Week 4 2,
2 Participation No 10.00 Multiple Weeks 2, 3, 4,
3 Quiz 2 No 15.00 Week 9 (Wednesday, 6 pm) 4, 5, 6,
4 Cognos (OLAP) Assignment Yes 35.00 Week 13 4, 6,
5 Final Exam No 30.00 Week 13 2, 3, 4,
Assessment Description: Participation: Class presentation and participation

OLAP - working with large datasets, making good inferences, presenting the results

In-class quizzes 1 and 2
Assessment Feedback: Feedback on all written work will be provided.
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.
Link to Reading List: http://Readings list will be provided
Online Course Content: Other readings

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 KM, Organization Knowledge, and KM Systems
Week 2 KM (continued)
Introduction to Data Warehousing (DW) and Online Analytical Processing Systems (OLAP)
Week 3 What is Analytics? + DW & OLAP (continued)
Week 4 Business Intelligence (BI) and Decision Support Systems
Assessment Due: Quiz 1
Week 5 Big Data and Analytics
Week 6 BI and Analytics, Guest lecture
Week 7 Dashboards and Visualisation
Week 8 Knowledge Graphs and Semantic Technologies
Week 9 Quiz 2

KM Case and Field Studies
Assessment Due: Quiz 2
Week 10
KM case and field studies
Week 11 KM case and field studies (continued)
Week 12 Social media, Crowdsourcing and KM
Week 13
Assessment Due: Cognos (OLAP) Assignment
Assessment Due: Final Exam
STUVAC (Week 14) Presentations and review.

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, 2020
Bachelor of Advanced Computing/Bachelor of Science 2018, 2019, 2020
Bachelor of Advanced Computing/Bachelor of Science (Health) 2018, 2019, 2020
Bachelor of Advanced Computing/Bachelor of Science (Medical Science) 2018, 2019, 2020
Bachelor of Advanced Computing (Computational Data Science) 2018, 2019, 2020
Bachelor of Advanced Computing (Computer Science Major) 2018, 2019, 2020
Bachelor of Advanced Computing (Information Systems Major) 2018, 2019, 2020
Bachelor of Advanced Computing (Software Development) 2018, 2019, 2020
Bachelor of Computer Science and Technology (Honours) 2015, 2016, 2017
Bachelor of Computer Science and Technology (Honours) 2014 2013, 2014
Software 2020
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 2015, 2016, 2017
Bachelor of Information Technology/Bachelor of Science 2015, 2016, 2017
Bachelor of Information Technology (Computer Science) 2014 and earlier 2009, 2010, 2011, 2012, 2013, 2014
Information Technology (Computer Science)/Arts 2012, 2013, 2014
Information Technology (Computer Science) / Commerce 2012, 2013, 2014
Information Technology (Computer Science) / Medical Science 2012, 2013, 2014
Information Technology (Computer Science) / Science 2012, 2013, 2014
Information Technology (Computer Science) / Law 2012, 2013, 2014
Bachelor of Information Technology (Information Systems) 2014 and earlier 2010, 2011, 2012, 2013, 2014
Information Technology (Information Systems)/Arts 2012, 2013, 2014
Information Technology (Information Systems) / Commerce 2012, 2013, 2014
Information Technology (Information Systems) / Medical Science 2012, 2013, 2014
Information Technology (Information Systems) / Science 2012, 2013, 2014
Information Technology (Information Systems) / Law 2012, 2013, 2014
Bachelor of Information Technology/Bachelor of Laws 2015, 2016, 2017
Graduate Certificate in Information Technology 2015, 2016
Graduate Certificate in Information Technology Management 2015, 2016, 2017, 2018, 2019, 2020
Graduate Diploma in Computing 2015, 2016, 2017, 2018, 2019, 2020
Graduate Diploma in Health Technology Innovation 2015, 2016, 2017, 2018, 2019, 2020
Graduate Diploma in Information Technology 2015, 2016
Graduate Diploma in Information Technology Management 2015, 2016, 2017, 2018, 2019, 2020
Graduate Certificate in Information Technology Management (till 2014) 2013, 2014
Graduate Diploma in Information Technology Management (till 2014) 2013, 2014
Master of Health Technology Innovation 2015, 2016, 2017, 2018, 2019, 2020
Master of Information Technology 2015, 2016
Master of Information Technology Management 2015, 2016, 2017, 2018, 2019, 2020
Master of IT/Master of IT Management 2015, 2016, 2017, 2018, 2019, 2020
Master of Information Technology Management (till 2014) 2011, 2012, 2013, 2014

Course Goals

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

Attribute Practiced Assessed
(8) Professional Effectiveness and Ethical Conduct (Level 4) Yes 0%
(7) Project and Team Skills (Level 4) No 0%
(6) Communication and Inquiry/ Research (Level 4) No 0%
(2) Engineering/ IT Specialisation (Level 4) No 0%
(1) Maths/ Science Methods and Tools (Level 4) 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.