Knowledge Management, Representation and Reasoning Specialism Advice MSc in AI

1. Knowledge Management, Representation and Reasoning Specialism AdviceMSc in AI Jessica Chen-Burger September 14, 2011

2. Old World • More predictable environment; • Limited information available; • Slower changing pace; • Following best practices; • Use IT systems mainly for data and information storage, retrieval and compilation.

3. New World • Vast amount of information available; • High level of uncertainty and inability to predict the future; • Sophisticated, global and innovative initiatives; • New and innovative practices can change the way we think and operate; • Use of IT systems to draw knowledge and to assist radical changes to achieve new benefits that may completely change the ways we used to think and operate; • Do the right things; not doing the things right. • Affects individuals, businesses, researchers and scientists alike.

4. Knowledge Era and Economy • Sieve through and process (large scale of) data and information and turn them into useful knowledge • Make use of relevant IT systems to draw knowledge and provide automation as far as possible • Make use of knowledge to change the way we think and to operate better • Applicable to individuals, businesses, researchers, scientists, journalists, etc. • What are the relevant technologies and IT systems?

5. Semester 1 AR - Automated Reasoning LP - Logic Programming HCI - Human-Computer Interaction IAML - Introductory Applied Machine Learning PMR - Probabilistic Modelling and Reasoning AD - Applied Databases DIE - Data Integration and Exchange Semester 2 MASWS - Multi-agent Semantic Web Systems ABS - Agent-Based Systems ALE1 - Adaptive Learning Environments 1 TCM - Topics in Cognitive Modelling SAPM - Software Architecture Process and Management Courses Offered

6. A Possible Overview Automated Reasoning Multi-agent Semantic Web Systems Knowledge Systems Logic Programming Agent-Based Systems Content Management Systems Human Computer Interaction Web Based Systems Adaptive Learning Environments Introductory Applied Machine Learning Data Analysing Systems Probabilistic Modelling and Reasoning Topics in Cognitive Modelling Database Systems Applied Database Software Architecture Process and Management Software Systems Data Integration and Exchange

7. Data based Analysis Applications Knowledge and Content based Applications Content Management Systems Knowledge Systems Web Based Systems Data Analysing Systems Database Systems Supports Relationships between Software Systems

8. A Quick Checking List • Did you select the IRR and IRP courses? (20 credits each) • Did you select 4 courses for Semester 1 and 4 courses for Semester 2, other than IRR and IRP? (10 credits each) • Did you select 5 courses from the KMM specialism? • Did you select more than three Level 9 and 10 courses? (not allowed) • Did you select either IJP (Java programming) or LP (Logic programming)? (If not, have you obtained a waver to take a programming course? Please let me know if you think you are eligible for one, i.e. has taken Java, C++, or Prolog previously.)

9. Sit-in Courses • If you select too many courses than required, you may be overloaded with work. • If you are interested in many different courses, you can choose to sit-in some of them, but choose not to do their homework or exams. • If you wish to do so, you can ask permission from the lecturer who teaches the course whether you can sit-in in their classes. However, if the course is already quite full, etc., the lecturer may decline your request.

10. More Information • Enquiries for Knowledge Management, Representation and Reasoning specialism: • Dr. Jessica Chen-Burger • jessicac@inf.ed.ac.uk • A copy of these slides is also available at: • http://www.aiai.ed.ac.uk/~jessicac/project/KMRR-specialism-advice/

11. Life after MSc…

12. Sample Job Prospects in the Field • Research institutes and companies that are interested in • Knowledge management • Intelligent human resource management • Capability management • Information security management • Intelligent information management • Knowledge technologies • Semantic web based technologies • Internet science related technolgies

13. Sample Prospect in PhD Studies • Many members in the institute of CISA (Centre of Intelligent Systems and their Applications) take PhD students working in related topics • Have a look at their web sites to understand what their research interests are • Try to take MSc thesis project with one of them • Try to take MSc thesis project in related areas • Try to get good grades for your MSc degree • Also look at members in HCRC and ICCS, they also often work in related topics

14. Ultimately… • It is often good advice to choose courses that you think you will enjoy, as people always do best if they are doing something that they like, e.g. in their studies or in their jobs. • Note that even if you found that there are other subjects that you like, you can always pick them up later on as you need to. MSc is not the end of your learning process, but only a part of it. I wish you have an enjoyable year.