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1 Introduction 2 Knowledge engineering 3 Types of expert systems 4 Case studies 5 Problem breakdown 6 Expert system design 7 Prototype development 8 Prototype development 9 Prototype evaluation 10 Review
To be created
Course list Authorship analysis Expert systems with Python Information ethics Logic and language Patterns and language Python for NLP Technology-enhanced language learning Visualizing time and tense Error-free research writing Reader-friendly writing Thesis writing Writing scientific research abstracts Awareness and defense Blitz speaking Interview practice Professional development

Unit 1 Expert systems with Python

Learning outcomes

By the end of this unit you should:

  • be able to xxxxx
  • have practised xxxx
  • be aware of xxxx
Rubik

Under construction

This course is currently being developed for delivery in AY2023.

under construction

Activity X: XXXXX

Listen to this XXX to find out XXXXX.

your tutor

Activity X: Course introduction

Read.

This course introduces expert systems with Python.

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Activity X: Introduction

Watch this short introductory video.

This introductory video blah blah blah.

Activity X: Accordian function to hide and reveal

Instruction.

Answer one.

Answer two.

Answer three.

Activity X: Heading

Preface

Instruction.

  1. print("Hello World")
  2. sample code

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Activity X: Table feature

Instruction.

Heading 1 Heading 2 Heading 3
1a 2a 3a
1b 2b 3b
1c 2c 3c
1d 2d 3d

Activity X: Emoticon code



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Activity X: Heading for video

Watch.

Put text here

Activity X: Heading

Read.

Put text here

  1. asdf adf asdf afd
  2. asdf adf asdf afd
  3. asdf adf asdf afd
  4. asdf adf asdf afd

Put text here

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Activity X: Heading for video

Watch.

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Review

Can you:

  1. do this
  2. do that
  3. and do this

If you do not, make sure that you do before your next class.

Running count: XX of XXX concepts covered so far.