0. Introduction To Data

0.1. Case Study And Discussion

1. Types Of Data

2. Categories Of Data

3. Sources Of Data

3.1. Case Study

4. Importance Of Data Collection

4.1. Case Study

5. Ethical Considerations

Class Activity

Chapter 1 Mcqs

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1.intro Data governance

2.Key objectives of data governance

3.1 key components of data governance

3.2 key components of data governance

3.3 key components of data governance

3.4 key components of data governance

4.1 level of data governance

4.2 level of data governance

4.3 level of data governance

5. Common data clasifaciation

6. data classification frame work

7. Data storage

8.Emerging trends

9.Data integrity

10. data security

11. Complince and stewerd ship

12. Meta data

13.Emerging Technologies in Data Governance

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0. Introduction To Data Analytics

1. Data Analytics Cycle

1.1. Case Study

2. Data Analytics Stages

2.1. Case Study

3. Applications Of Data Analytics

4. Implications Of Data Anaytics

5. Mcqs

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1. Big Data intro(VVS)

2. Charactersitcs of big data(VVS)

3. Sources of big data(VVS)

4.Method of big data

5.Application of big data

6.Challanges of big data

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1.intro to DBMS

2.Components of DBMS

3.Data base components&Atomicity

4.consistancy

5.isolation

6.durability

7.Additional charactersitcs of DBMS

8.DBMS Arthitecture external level

9.Conceptual level

10.internal level

11.key benefits of three architecture

12.types of data independance

13.physical independance

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1.0. Data Normalization

1.1. First Normal Form

1.2. Second Normal Form

1.3. Third Normal Form

2. Data Warehousing

3.0. Oltp & Olap

3.1. Key Characteristics, Example, Advantages, Challenges Of Oltp

3.2. Example Of Olap & Oltp

4. Etl

5. Data Mart

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0.1. Introduction To Information System

1. Key Components Of It System Architecture (P1)

1. Key Components Of It System Architecture (P2)

2. It System Interactions & Dependencies

3. Scaleability And Flexibility (P1)

3. Scaleability And Flexibility (P2)

4. Best Practices For Designing It System (P1)

4. Best Practices For Designing It System (P2)

4. Best Practices For Designing It System (P3)

5. Latest Trends In It System Architecture

6.1. Types Of Programming Languages

6.2. Popular Programming Languages

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0.1. Introduction To Erp

0.2. Introduction To Erp

1.1. Key Components Of Erp System

1.2. Key Components Of Erp System

2. Erp Impimentation Cycle

3. Benefits Of Erp System

4. Types Of Erp System

5. Key Considerations When Choosing An Erp System

6. Challenges Of Erp System

7. ERP In Context Of Industry

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1.intro Emerging technologies And AI &ML

2.key features of AI and ML

3. Application of AI and ML

4. IOT devices

5.components of IOT

6.Application of IOT

7. Challanges in IOT

8. 5G technologies

9. Edge Computing

10. intro to AR and VR

11. key features of AR and VR

12. Benefits

13.1 Quantum computing

13.2 Quantum computing

14. Robotics process

1.0. Artificial Intelligence

1.1. AI Learning Cycle

1.2. Types of AI

1.3.1. Algorithums Used in AI_Neural Networks

1.3.2. Algorithums Used in AI_GANS

1.3.3. Algorithums Used in AI_VAEs

1.3.4. Algorithums Used in AI_Transformer Models

2.0. Agenting AI and Its Key Features

2.1. Types of Agenting AI

2.2. Applications of Agenting AI

2.3. Benefits of Agenting AI & MCQs

Revision Part 1

Revision Part 2

1. intro cloud computing

4.2 cloud computing servies model

5.4 community cloud

2. what is cloud computing

3.Famous Cloud Computing

4.1 cloud computing servies model

4.3 cloud computing servies model

5.1 cloud develpment model ,public cloud

5.2 private cloud

5.3 hybrid cloud

6. benefits of cloud computing

7. challanges in cloud computing

8.1 Application of cloud computing

8.2 Application of cloud computing

9. pakistan cloud first policy

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1.1 intro block chain ,what is block chain

1.2 what is block chain

1.3 how block chain works

1.4 consenses machanisiem

1.5 nodes

1.6 HAshing

2. key components

3. broadcast to network , block creation , chain program

4. use block chain

5. distributed leadger technologies

6.1 fintech

6.2 key areas fintech

6.3. key Areas fintech

7. benefits of fintech

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1. understanding digital disruption

2. drivers of digital disruption

3.1 impact of digital disruption

3.2 impact of digital disruption

4.1 integrating it and data management into business

4.2 integrating it and data management into business

5. it governance frame work

6. best practices for it governance framework

7. adecucy and improvement

8. impact od digital disruption in accounting and finance

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1. understanding it system risk

2. what is risk managment

3.1 key components ,identifecation risk

3.2 Risk assesment

3.3 Risk mitigation and response ,four risk identifecation risk

3.4 Risk monitring

4. strategic importance of it system risk

5. incident response planing

6.1 scope of it risk

6.2 scope of it risk

7. physical risk

8.digital risk

9. human risk

10. Envoriment risk

11. third party risk

12. compliance and regulatory risk

13. technologies role in regulatory risk

14.1 the role of it security risk

14.2 the role of it security risk

REVISION Part 1

REVISION Part 2

REVISION Part 3

1. foumdation of cyber security

2. Mallicious sortware

3. cybercrime cariety ,sophisticated attack ,insider and external threats

4. preventive measure

5.1 detection and monitering

5.2 detection and monitering

6. incident response

7. automated security

8. Managed security server provider

9. advance technologies in cybersecurity

10. best practices of cyber security

11. shortage of cybersecurity resources

12. Emerging cyber security

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INTRO , KEY OBJECTIVES , IMPORTance of it general control

key components

implementing it general control

challanges in manageing it general control

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ict's role in risk mangement

ict's role risk identification

ict's role in risk reporting

ict's role in mangement and mitigation

best practices for intrgration ict's into risk mangement

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