All About DSR

1 What is Data

2 Types of Data

3 Categories Of Data

4 Sources Of Data

5 Ethical Considerations in Data Collection

Data Analytics

Data Analytics Cycle

Data Analytics Explained using Real Life Example

Stages of Data Analytics

Stages of Data Analytics Explained with Real Life Example

Applications and Implications of Data Analytics

MCQs

1. Big Data and Characteristics of Big Data

2. Sources of Big Data

3. Methods of Big Data Collection

4. Applications of Big Data

5. Challenges of Big Data

6. Emerging Trends in Big Data and Big Data Technologies

7. MCQS

1. Introduction to Data Governance

1.1 What is Data Governance

1.2.1 Key Components of Data Governance

1.2.2 Key Components of Data Governance

1.2.3 Key Components of Data Governance

1.2.4 Key Components of Data Governance

1.3 Levels of Data Governance

2. Data Classification

3. Data Storage

4. Data Integrity

5. Data Security

6. Data Stewardship

7. Metadata Management

8. Compliance with Data Regulations

9. Emerging Technologies In Data Governance

9.1 Key Terminologies

10. Drivers for Data Governance

11. Data Governance Challenges

12. Data Governance Best Practices and Implementation Strategies

1. Introduction to DBMS

2. Components of a DBMS

3. Database Characteristics

4. DBMS Architucture

5. Types of Data Independence

6. Data Models and Entity Relationship Model

6.1 Entity Relationship Model (Cont)

7. Types of DataBase Management Systems

7.1 Types of DBMS (Cont)

7.2 Types of DBMS (Cont)

8. Comparison of DBMS Types

CH 5 MCQS

1. Data Warehousing

2. Online Transaction Processing System

3. OLTP v Data Warehousing

4. ETL Process

5. Data Warehouse Architecture

6. Schemas in Data Warehousing

7. Data Marts

8. Database Normalization

1. Key Components of Information System Architecture

2. IT System Layers

3. IT Systems Interactions and Dependencies

4. Scalability and Flexibility in IT Systems

5. Introduction to Programming Languages

5.1 Introduction to Programming Languages

5.2 Introduction to Programming Languages

6. Best Practices for Designing IT System Architecture

1. Introduction to ERP

2. Key Components of an ERP System

3. Real Life Example

4. ERP Implementation Cycle

5. Benefits of ERP System

6. types of ERP Systems

7. Key Considerations when choosing an ERP Systems

8. Challenges in Implemenmting ERP Systems

9. ERP in Industry

1. Ai And Ml

2.1 IOT

2.2 IOT

3. Blockchain Technology

4. 5G Technology

5. AR and VR

6. Quantum Computing

7. Edge Computing

8. RPA

8.1 RPA

1. What is Cloud Computing

2. Famous Cloud Providers

3. Cloud Computing Services Models

4. Cloud Deployment models

5. Benefits of Cloud computing

6. Challenges

7. Applications of Cloud Computing

8. Pakistan First Cloud Policy

1. Understanding Digital Disruption

1.1 Drivers of Digital Disruption

2. Impact of Digital Disruption on Business

3. Integrating IT

4. IT Governance

5. Adequacy and Effectiveness

1. What is Blockchain

1.1 Key Features of Blockchain

1.2 Key Components of Blockchain

Solution of Test 1

Test 4 chapter 2

Grand Test

Test 1 chapter 1

Solution of Test 5

Solution of Test 8

Solution of Test 2

Solution of Test 6

Test 2 chapter 3

Test 5 chapter 5

Test 8 chapter 9

Solution of Test 3

Test 6 chapter 6

Test 3 chapter 4

Solution of Test 7

Solution of Test 4 chapter 2

Test 7 chapter 7

Solution of Grand Test

chapter 1

chapter 2

chapter 3

chapter 4

chapter 5

chapter 6

1. understanding risk

2. what is risk managment

3.1 key components ,identification risk

3.2 Risk Assesment

3.3 risk mitigation and resposr ,four risk treatment option

3.4 risk monitring

4. strategic importance of it risk management

5. insedent response planing

6.1scope of it system risk

6.2 scope of it system risk

7. physical risk

8. digital risk

9. human risk

10. Enviroment risk

11. third party risk

12. compliance and regulatory risk

13. technologies role in regulatory risk ,summary

14.1 the role of it security

14.2 the role of it security risk

1. iso 27001

2. iso 27002

3. iso 27005

4. Enterrise technologies governance & risk mangment frame work 2017

5. electronic transaction ordinance 2002

6. national cyber security risk 2021

7. prevention of cyber security investigation risk

8.prevention of electronic crime act 2016

insitutional frame work

cobit

1. AI

1.1 GANs & VAEs

1.2 Transformer Model & RNNs and LSTM

1.3 Neural Networks

2. Subfields of AI

2.1 Supervised Learning Algorithms

2.2 Unsupervised Learning Algorithms

2.3 Reinforcement Learning Algorithms

3. Custom ML

4. Intelligent Automation

5. Agenting AI

ict s role in risk management

best practices for integration ict into risk managemnt

ict s role in mangement and mitigation

ict s role in risk identifecation

ict s role in risk repoting

intro ,key objectives ,importance to it genral control

key components

implementing it general control

challanges in management it general control

1.1 foundation of cyber security

1.2 foundation of cyber security and mallicious software

2. cyber crime variety

3. sophisticated Attack

4. insider and external threats

5. preventive measure

6. shortage of cybersecurity resource and organization strategies

7.1 detection and monitering

7.2 detection and monitering

8. incedent response

9. automated security

10. managed security providers

11. Emerging cybersecurity risk,AI RISK

12. IOT RISK

13. CLOUD COMPUTING RISK

14. ADVANCE TECHNOLOGIES IN CYBERSECURITY RISK

15. BEST practices in cybersecurity risk