1. Introduction Introduction. Problem. Literature. Data. Methods. Analysis. Business. Presentation Analytical methods for Information Systems Professionals Week 1 Lecture 1 INTRODUCTION

2. Introduction Introduction. Problem. Literature. Data. Methods. Analysis. Business. Presentation What’s the point?

3. Introduction Introduction. Problem. Literature. Data. Methods. Analysis. Business. Presentation What questions were they in fact answering? What questions should they have been asking? How could they have found out some of the answers? How could they know if their answers were right?

4. Introduction Introduction. Problem. Literature. Data. Methods. Analysis. Business. Presentation THEY WERE TRYING TO SAVE LIVES. BY NOT ASKING THE RIGHT QUESTIONS AND COLLECTING AND ANALYSING DATA, THEY CREATED A DEVICE THAT DIDN’T SAVE LIVES. THEY CREATED A DEVICE THAT KILLED PEOPLE.

5. Introduction Introduction. Problem. Literature. Data. Methods. Analysis. Business. Presentation Use analytical methods to: Formulate a question precisely Have dependable techniques to gather and analyse data to answer questions Collect and analyse feedback

6. Introduction Introduction. Problem. Literature. Data. Methods. Analysis. Business. Presentation Needs analysis Evaluation of technology Design Feasibility Measurement of performance and alignment (auditing) Changing

7. Introduction Introduction. Problem. Literature. Data. Methods. Analysis. Business. Presentation SYSTEMS THEORY What does a system consist of?

8. Introduction Introduction. Problem. Literature. Data. Methods. Analysis. Business. Presentation Entities plus Relationships

9. Introduction Introduction. Problem. Literature. Data. Methods. Analysis. Business. Presentation A system is an entity that maintains it existence and functions as a whole through the interaction of its parts. The behaviour of a system depends on how the parts are related, rather than on the parts themselves. The properties of the system are the properties of the whole, not the parts. From The Art of Systems Thinking, O’Connor and McDermott.

10. Introduction Introduction. Problem. Literature. Data. Methods. Analysis. Business. Presentation INFORMATION SYSTEMS An applied discipline that studies the processes of the creation,operation and social contexts and consequences of systems that manipulate information.

11. Introduction Introduction. Problem. Literature. Data. Methods. Analysis. Business. Presentation The creation and operation of such systems requires the sub-processes of systems analysis, design, development and management which are bracketed at the beginning by social context and at completion by social consequences. www.infosys.usyd.edu.au

12. Introduction Introduction. Problem. Literature. Data. Methods. Analysis. Business. Presentation Information Systems (IS) professionals in today's organisations are leaders in change and development. Your success in this field will be aided by your being able to apply formal methods of information collection and analysis to interpreting evidence on IS issues.

13. Introduction Introduction. Problem. Literature. Data. Methods. Analysis. Business. Presentation This course introduces you to analytical methods for the theory and practice of Information Systems theory as a dynamic process, from questions to answers, within a broad systems thinking approach. It focuses on the use of analytical tools in the practice of IS using a business research model.

14. Introduction Introduction. Problem. Literature. Data. Methods. Analysis. Business. Presentation It prepares you for the major project in Information Systems, in conjunction with other courses within the Information Systems discipline at the University of Sydney http://www.infosys.usyd.edu.au. http://www.infosys.usyd.edu.au It will also prepare you for your practice as an IT professional, or for further study in IS

15. Introduction Introduction. Problem. Literature. Data. Methods. Analysis. Business. Presentation By the end of this course you should be able to: understand the purpose, relevance and effectiveness of using analytical methods in IS, identify and articulate the research problem and its context, find, understand, analyse and evaluate literature related to the research question,

16. Introduction Introduction. Problem. Literature. Data. Methods. Analysis. Business. Presentation write a research proposal, collect data using both qualitative and quantitative investigative methods, analyse and interpret that evidence, present and communicate your results verbally and in writing.

17. Introduction Introduction. Problem. Literature. Data. Methods. Analysis. Business. Presentation Guest lecturers Professor Jon Patrick Associate Professor Joseph Davies Edmund Balnaves Hugh Springford David Nathan Julie Olston from the University Library Gartner Group Helen Bonanno from The Learning Centre Janet Jones from The Learning Centre Dr Li Liu from Civil Engineering

18. Introduction Introduction. Problem. Literature. Data. Methods. Analysis. Business. Presentation Tutors Kenneth Chung Michele Zappavinga

19. Introduction Introduction. Problem. Literature. Data. Methods. Analysis. Business. Presentation Lectures The Research Process Defining the problem Quantitative analytical methods Finding and reading the literature What is data?

20. Introduction Introduction. Problem. Literature. Data. Methods. Analysis. Business. Presentation Qualitative analytical methods Planning and designing research Revision Presenting findings Applying research to business

21. Introduction Introduction. Problem. Literature. Data. Methods. Analysis. Business. Presentation Tutorials The genius is in the question Critical reading exercise Statistical analysis exercise Literature review Designing and conducting surveys

22. Introduction Introduction. Problem. Literature. Data. Methods. Analysis. Business. Presentation Action research workshop Interviewing exercises Making your point: presenting Interpreting statistical data Writing proposals

23. Introduction Introduction. Problem. Literature. Data. Methods. Analysis. Business. Presentation There is no project to be done in this course Assignments

24. Introduction Introduction. Problem. Literature. Data. Methods. Analysis. Business. Presentation Assignments 1.Reference assignment. Individual 5% 2.Critical review of an article. Individual 5% 3.Design and conduct a survey. Group 5% 4. Write a proposal, plan and literature review. Individual 15%

25. Introduction Introduction. Problem. Literature. Data. Methods. Analysis. Business. Presentation Textbook

26. Introduction Introduction. Problem. Literature. Data. Methods. Analysis. Business. Presentation Announcements and the message board

27. Introduction Introduction. Problem. Literature. Data. Methods. Analysis. Business. Presentation Ground rules