Knowledge management representation and reasoning specialism advice msc in ai
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Knowledge Management, Representation and Reasoning Specialism Advice MSc in AI. Jessica Chen-Burger September 14, 2011. Old World. More predictable environment; Limited information available; Slower changing pace; Following best practices;

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Knowledge Management, Representation and Reasoning Specialism Advice MSc in AI

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Knowledge management representation and reasoning specialism advice msc in ai

Knowledge Management, Representation and Reasoning Specialism AdviceMSc in AI

Jessica Chen-Burger

September 14, 2011


Old world

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.


New world

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.


Knowledge era and economy

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?


Courses offered

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


A possible overview

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


Relationships between software systems

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


A quick checking list

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.)


Sit in courses

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.


More information

More Information

  • Enquiries for Knowledge Management, Representation and Reasoning specialism:

    • Dr. Jessica Chen-Burger

    • [email protected]

  • A copy of these slides is also available at:

    • http://www.aiai.ed.ac.uk/~jessicac/project/KMRR-specialism-advice/


Life after msc

Life after MSc…


Sample job prospects in the field

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


Sample prospect in phd studies

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


Ultimately

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.


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