IM
(Information Management)
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Date |
Subject |
Message to students |
17 Jan 2024 |
Microsoft Office 365 |
Pls install the Microsoft Office 365 (with Excel &
Access) on your computer. Pls use the English version. |
17 Jan 2024 |
Welcome!! |
Welcome!! Please bring a USB Flash Drive to save your data files. |
Lesson 1:
- IM Lesson 1 notes
Other Reference :
1) Efficiency IT metrics: https://www.computerbusinessresearch.com/Home/business-information-systems/efficiency-it-metrics/
2) Effectiveness IT metrics: https://www.computerbusinessresearch.com/Home/business-information-systems/effectiveness-it-metrics/
3) conversion rate : http://dictionary.cambridge.org/dictionary/business-english/conversion-rate?q=Conversion+rates+
Lesson 2:
- IM Lesson 2 notes
Lesson 3:
Lesson 4:
Lesson 5:
Other Reference :
Tech innovations – Positive
Effects
1) Jerry the bear: https://www.youtube.com/watch?v=KmKGXFGRwGw
2) Liftware: https://www.youtube.com/watch?v=CTG5WCHe-zw
3) 'Smart Glasses' offer help to near-blind people: https://www.youtube.com/watch?v=x0r_7koevhw
4) Euan's Guide: https://www.youtube.com/watch?v=PwhUgEfrd0k
Welcome to Euan's Guide!: https://www.euansguide.com/about-us/
Lesson 6:
Lesson 7:
Lesson 8:
Other Reference :
1) Access video training: https://support.office.com/en-us/article/access-video-training-a5ffb1ef-4cc4-4d79-a862-e2dda6ef38e6?ui=en-US&rs=en-US&ad=US
2) Access 2013 videos and tutorials: https://support.office.com/en-us/article/access-2013-videos-and-tutorials-a4bd10ea-d5f4-40c5-8b37-d254561f8bce?wt.mc_id=otc_access
Lesson 9:
Other Reference :
1) Apriori Algorithm (Associated Learning) - Fun and Easy Machine
Learning
(First 7:30 mins)
https://www.youtube.com/watch?v=WGlMlS_Yydk&t=424s
2) Apriori Algorithm Explained | Association Rule
Mining | Finding Frequent Itemset | Edureka
https://www.youtube.com/watch?v=guVvtZ7ZClw&t=24s
(First 6:45 mins)
3) Quizlet : Ch 5 Association Rules
https://quizlet.com/203170490/ch-5-association-rules-flash-cards/
If 80% of all transactions contain itemset {bread},
then the support of {bread} is 0.8.
If 60% of all transactions contain itemset
{bread,butter},then the support of {bread,butter} is 0.6
Lesson 11:
Other Reference:
1) Entity Relationship Diagram – ER Diagram in DBMS https://beginnersbook.com/2015/04/e-r-model-in-dbms/
2) Three Types of Relationships in an ERD Diagram: https://www.relationaldbdesign.com/relational-database-design/module6/three-relationship-types.php
3) Problems with many-to-many Relationships: https://www.relationaldbdesign.com/relational-database-design/module6/problemsWithMany-toMany-relationships.php
4) Convert many-to-many Relationships into
one-to-many Relationships: https://www.relationaldbdesign.com/relational-database-design/module6/convert-manyToManyRelationships-into-oneToManyRelationships.php