Created by: Kally Brooks •
Last updated: 2/2020 •
Languages: English, German + 7 more
Course Description
### Course Overview
The "Enterprise Computing" course is designed to provide IT students with a understanding of the complex and dynamic world of enterprise-level computing systems. This course delves into the architecture,, and management practices that underpin large-scale IT. Students will explore topics such as cloud computing, enterprise resource planning (ERP) systems, data management, cybersecurity, and the integration of various enterprise applications. Through a blend of theoretical knowledge and practical exercises, participants will gain the skills necessary to design, implement, and manage robust enterprise computing environments.
### Key Objectives
- **Understand Enterprise Architecture:** Gain insights into the structure and components of enterprise computing systems, including hardware, software, and network configurations.
- **Explore Cloud Computing:** Learn about cloud services, deployment models, and how to leverage cloud technologies for enterprise solutions.
- **Master Data Management:** Develop skills in managing large datasets, database systems, and data warehousing techniques.
- **Enhance Cybersecurity Knowledge:** Understand the principles of securing enterprise systems, including risk management, threat detection, and mitigation strategies.
- **Integrate Enterprise Applications:** Learn how to effectively integrate various enterprise applications to streamline business processes and improve operational efficiency.
### Key Benefits
- **Industry-Relevant Skills:** Equip yourself with the knowledge and skills that are highly sought after in the IT industry, particularly in roles related to enterprise computing.
- **Hands-On Experience:** Engage in practical exercises and real-world scenarios that provide hands-on experience with enterprise technologies and systems.
- **Career Advancement:** Enhance your employability and career prospects by gaining expertise in managing and optimizing large-scale IT infrastructures.
- **Comprehensive Learning:** Benefit from a well-rounded curriculum that covers both the theoretical foundations and practical applications of enterprise computing.
### Audience
This course is specifically tailored for IT students who are looking to deepen their understanding of enterprise computing systems. Whether you are an undergraduate, a graduate student, or a professional seeking to expand your knowledge, this course will provide you with the essential skills and insights needed to excel in the field of enterprise IT.
Course Outline
## Course Outline: Enterprise Computing
### Module 1: Introduction to Enterprise Computing
1.1 Course Overview and Objectives
1.2 Importance of Enterprise Computing in Modern IT
1.3 Key Components of Enterprise Systems
1.4 Overview of Enterprise Architecture
1.5 Case Studies of Enterprise Computing Systems
### Module 2: Enterprise Architecture
2.1 Understanding Enterprise Architecture
2.2 Components of Enterprise Architecture: Hardware, Software, and Network Configurations
2.3 Enterprise Architecture Frameworks (e.g., TOGAF, Zachman)
2.4 Designing Enterprise Architecture
2.5 Best Practices in Enterprise Architecture Management
### Module 3: Cloud Computing in Enterprise
3.1 Introduction to Cloud Computing
3.2 Cloud Service Models: IaaS, PaaS, SaaS
3.3 Cloud Deployment Models: Public, Private, Hybrid, and Community Clouds
3.4 Leveraging Cloud Technologies for Enterprise Solutions
3.5 Case Studies and Practical Exercises in Cloud Computing
### Module 4: Data Management
4.1 Fundamentals of Data Management
4.2 Managing Large Datasets
4.3 Database Systems: Relational and NoSQL Databases
4.4 Data Warehousing Techniques
4.5 Data Governance and Compliance
### Module 5: Cybersecurity in Enterprise Systems
5.1 Introduction to Cybersecurity Principles
5.2 Risk Management in Enterprise Systems
5.3 Threat Detection and Mitigation Strategies
5.4 Securing Enterprise Networks and Data
5.5 Case Studies and Practical Exercises in Cybersecurity
### Module 6: Enterprise Resource Planning (ERP) Systems
6.1 Introduction to ERP Systems
6.2 Key Components and Modules of ERP Systems
6.3 Implementing ERP Systems in Enterprises
6.4 Benefits and Challenges of ERP Systems
6.5 Case Studies and Practical Exercises in ERP Systems
### Module 7: Integration of Enterprise Applications
7.1 Importance of Application Integration in Enterprises
7.2 Techniques for Integrating Enterprise Applications
7.3 Middleware and Enterprise Service Bus (ESB)
7.4 Streamlining Business Processes through Integration
7.5 Case Studies and Practical Exercises in Application Integration
### Module 8: Practical Applications and Future Trends
8.1 Hands-On Projects and Real-World Scenarios
8.2 Emerging Trends in Enterprise Computing
8.3 Future of Enterprise IT: AI, IoT, and Blockchain
8.4 Career Opportunities in Enterprise Computing
8.5 Course Review and Final Assessment
This course outline provides a comprehensive structure for the "Enterprise Computing" course, ensuring that IT students gain both theoretical knowledge and practical skills essential for managing and optimizing large-scale IT infrastructures.
Learning outcomes
## Learning Outcomes
### Module 1:
You will analyze the importance and key components of enterprise computing systems through real-world case studies.
### Module 2:
You will design a basic enterprise architecture using established frameworks and best practices.
### Module 3:
You will evaluate different cloud service and deployment models to determine the best fit for enterprise solutions.
### Module 4:
You will implement data management strategies for handling large datasets and ensuring data governance.
### Module 5:
You will develop a cybersecurity plan to manage risks and secure enterprise networks and data.
### Module 6:
You will assess the benefits and challenges of implementing ERP systems in an enterprise setting.
### Module 7:
You will integrate multiple enterprise applications using middleware and ESB to streamline business processes.
### Module 8:
You will create a project that incorporates emerging trends in enterprise computing, such as AI, IoT, or Blockchain.
## Explanations
### Module 1:
By analyzing the importance and key components of enterprise computing systems through real-world case studies, you will gain a practical understanding of how these systems function and their significance in modern IT. This outcome is at the entry level, helping you build foundational knowledge.
### Module 2:
Designing a basic enterprise architecture using established frameworks and best practices will enable you to apply theoretical concepts to practical scenarios. This mid-level outcome ensures you can create structured and efficient IT environments.
### Module 3:
Evaluating different cloud service and deployment models to determine the best fit for enterprise solutions will help you make informed decisions about cloud technologies. This mid-level outcome is crucial for optimizing enterprise IT infrastructure.
### Module 4:
Implementing data management strategies for handling large datasets and ensuring data governance will provide you with the skills to manage and protect enterprise data effectively. This mid-level outcome is essential for maintaining data integrity and compliance.
### Module 5:
Developing a cybersecurity plan to manage risks and secure enterprise networks and data will equip you with the ability to protect enterprise systems from threats. This mid-level outcome is vital for ensuring the security and resilience of IT infrastructures.
### Module 6:
Assessing the benefits and challenges of implementing ERP systems in an enterprise setting will give you a comprehensive understanding of ERP systems' impact on business operations. This mid-level outcome is important for making strategic decisions about ERP adoption.
### Module 7:
Integrating multiple enterprise applications using middleware and ESB to streamline business processes will enhance your ability to create cohesive and efficient IT environments. This mastery-level outcome is critical for optimizing enterprise workflows.
### Module 8:
Creating a project that incorporates emerging trends in enterprise computing, such as AI, IoT, or Blockchain, will allow you to apply cutting-edge technologies to real-world scenarios. This mastery-level outcome ensures you stay ahead in the rapidly evolving field of enterprise computing.
Skills Knowledge Attitude Objectives
### Module 1
**Skills Objective**
- Analyze real-world case studies to identify the importance and key components of enterprise computing systems so that you can apply understanding to practical IT scenarios.
**Knowledge Objective**
- Describe the key components and significance of enterprise computing systems so that you can explain their role in modern IT environments.
**Attitude Objective**
- Appreciate the value of enterprise computing systems in enhancing business operations so that you can recognize their impact on organizational efficiency.
### Module 2
**Skills Objective**
- Design a basic enterprise architecture using established frameworks and best practices so that you can create structured and efficient IT environments.
**Knowledge Objective**
- Explain the principles and best practices of enterprise architecture frameworks so that you can apply these concepts to real-world scenarios.
**Attitude Objective**
- Value the importance of structured enterprise architecture in achieving business goals so that you can advocate for best practices in IT design.
### Module 3
**Skills Objective**
- Evaluate different cloud service and deployment models to determine the best fit for enterprise solutions so that you can optimize enterprise IT infrastructure.
**Knowledge Objective**
- Identify the various cloud service and deployment models so that you can make informed decisions about their application in enterprise settings.
**Attitude Objective**
- Recognize the benefits and challenges of different cloud models so that you can approach cloud technology decisions with a balanced perspective.
### Module 4
**Skills Objective**
- Implement data management strategies for handling large datasets and ensuring data governance so that you can manage and protect enterprise data effectively.
**Knowledge Objective**
- Summarize the key data management strategies and governance principles so that you can ensure data integrity and compliance.
**Attitude Objective**
- Respect the importance of data governance in maintaining data quality and security so that you can prioritize these practices in your work.
### Module 5
**Skills Objective**
- Develop a cybersecurity plan to manage risks and secure enterprise networks and data so that you can protect enterprise systems from threats.
**Knowledge Objective**
- Explain the components of an effective cybersecurity plan so that you can implement strategies to safeguard IT infrastructures.
**Attitude Objective**
- Value the critical role of cybersecurity in protecting organizational assets so that you can advocate for robust security measures.
### Module 6
**Skills Objective**
- Assess the benefits and challenges of implementing ERP systems in an enterprise setting so that you can make strategic decisions about ERP adoption.
**Knowledge Objective**
- Describe the impact of ERP systems on business operations so that you can understand their role in streamlining processes.
**Attitude Objective**
- Appreciate the transformative potential of ERP systems so that you can support their implementation in enhancing business efficiency.
### Module 7
**Skills Objective**
- Integrate multiple enterprise applications using middleware and ESB to streamline business processes so that you can create cohesive and efficient IT environments.
**Knowledge Objective**
- Explain the role of middleware and ESB in enterprise application integration so that you can utilize these technologies effectively.
**Attitude Objective**
- Recognize the importance of seamless application integration in optimizing business workflows so that you can advocate for integrated IT solutions.
### Module 8
**Skills Objective**
- Create a project that incorporates emerging trends in enterprise computing, such as AI, IoT, or Blockchain, so that you can apply cutting-edge technologies to real-world scenarios.
**Knowledge Objective**
- Identify emerging trends in enterprise computing and their potential applications so that you can stay ahead in the rapidly evolving field.
**Attitude Objective**
- Engage with innovative technologies and their potential impact on enterprise computing so that you can remain proactive in adopting new advancements.
Key points per lesson
### Module 1: Introduction to Enterprise Computing
1.1 Course Overview and Objectives
- Outline the course structure and key learning outcomes.
- Highlight the importance of enterprise computing in modern IT.
- Set expectations for assessments and practical exercises.
1.2 Importance of Enterprise Computing in Modern IT
- Discuss the role of enterprise computing in business operations.
- Explain how enterprise systems support scalability and efficiency.
- Highlight the impact on competitive advantage and innovation.
1.3 Key Components of Enterprise Systems
- Identify core components: hardware, software, and network.
- Explain the role of each component in enterprise systems.
- Discuss the integration and interoperability of these components.
1.4 Overview of Enterprise Architecture
- Define enterprise architecture and its purpose.
- Explain the layers of enterprise architecture: business, application, data, and technology.
- Discuss the benefits of a well-structured enterprise architecture.
1.5 Case Studies of Enterprise Computing Systems
- Present real-world examples of enterprise computing implementations.
- Analyze the challenges and solutions in each case study.
- Discuss the outcomes and lessons learned from these implementations.
### Module 2: Enterprise Architecture
2.1 Understanding Enterprise Architecture
- Define the concept and scope of enterprise architecture.
- Explain the importance of aligning IT with business goals.
- Discuss the role of enterprise architects.
2.2 Components of Enterprise Architecture: Hardware, Software, and Network Configurations
- Detail the hardware components and their roles.
- Explain the software layers and their interactions.
- Discuss network configurations and their importance in enterprise architecture.
2.3 Enterprise Architecture Frameworks (e.g., TOGAF, Zachman)
- Introduce popular enterprise architecture frameworks.
- Compare and contrast TOGAF and Zachman frameworks.
- Discuss the application and benefits of using these frameworks.
2.4 Designing Enterprise Architecture
- Outline the steps in designing an enterprise architecture.
- Discuss the importance of stakeholder involvement.
- Explain how to create a blueprint for enterprise architecture.
2.5 Best Practices in Enterprise Architecture Management
- Highlight the importance of continuous improvement.
- Discuss the role of governance in enterprise architecture.
- Present strategies for effective architecture management.
### Module 3: Cloud Computing in Enterprise
3.1 Introduction to Cloud Computing
- Define cloud computing and its key characteristics.
- Discuss the benefits of cloud computing for enterprises.
- Explain the different types of cloud services.
3.2 Cloud Service Models: IaaS, PaaS, SaaS
- Define Infrastructure as a Service (IaaS) and its use cases.
- Explain Platform as a Service (PaaS) and its benefits.
- Discuss Software as a Service (SaaS) and its applications.
3.3 Cloud Deployment Models: Public, Private, Hybrid, and Community Clouds
- Define and compare public, private, hybrid, and community clouds.
- Discuss the advantages and disadvantages of each model.
- Explain how to choose the right deployment model for an enterprise.
3.4 Leveraging Cloud Technologies for Enterprise Solutions
- Discuss how cloud technologies can solve enterprise challenges.
- Explain the process of migrating to the cloud.
- Highlight the importance of cloud security and compliance.
3.5 Case Studies and Practical Exercises in Cloud Computing
- Present real-world examples of cloud computing implementations.
- Analyze the challenges and solutions in each case study.
- Provide hands-on exercises to reinforce learning.
### Module 4: Data Management
4.1 Fundamentals of Data Management
- Define data management and its importance.
- Discuss the data lifecycle and its stages.
- Explain the role of data management in decision-making.
4.2 Managing Large Datasets
- Discuss the challenges of handling large datasets.
- Explain techniques for efficient data storage and retrieval.
- Highlight the importance of data quality and integrity.
4.3 Database Systems: Relational and NoSQL Databases
- Compare relational and NoSQL databases.
- Discuss the use cases for each type of database.
- Explain how to choose the right database system for an enterprise.
4.4 Data Warehousing Techniques
- Define data warehousing and its purpose.
- Discuss the architecture of a data warehouse.
- Explain techniques for data extraction, transformation, and loading (ETL).
4.5 Data Governance and Compliance
- Define data governance and its importance.
- Discuss key data governance policies and practices.
- Explain the role of compliance in data management.
### Module 5: Cybersecurity in Enterprise Systems
5.1 Introduction to Cybersecurity Principles
- Define cybersecurity and its importance in enterprises.
- Discuss the core principles of cybersecurity: confidentiality, integrity, and availability.
- Explain the role of cybersecurity in protecting enterprise assets.
5.2 Risk Management in Enterprise Systems
- Define risk management and its importance.
- Discuss the process of identifying and assessing risks.
- Explain strategies for mitigating and managing risks.
5.3 Threat Detection and Mitigation Strategies
- Discuss common cybersecurity threats and vulnerabilities.
- Explain techniques for detecting and responding to threats.
- Highlight the importance of continuous monitoring and incident response.
5.4 Securing Enterprise Networks and Data
- Discuss best practices for securing enterprise networks.
- Explain techniques for data encryption and protection.
- Highlight the importance of access control and authentication.
5.5 Case Studies and Practical Exercises in Cybersecurity
- Present real-world examples of cybersecurity incidents.
- Analyze the challenges and solutions in each case study.
- Provide hands-on exercises to reinforce learning.
### Module 6: Enterprise Resource Planning (ERP) Systems
6.1 Introduction to ERP Systems
- Define ERP systems and their purpose.
- Discuss the evolution of ERP systems.
- Explain the role of ERP systems in business operations.
6.2 Key Components and Modules of ERP Systems
- Identify the core components of an ERP system.
- Discuss the key modules: finance, HR, supply chain, etc.
- Explain how these modules integrate to support business processes.
6.3 Implementing ERP Systems in Enterprises
- Discuss the steps involved in ERP implementation.
- Highlight the importance of planning and stakeholder involvement.
- Explain common challenges and how to overcome them.
6.4 Benefits and Challenges of ERP Systems
- Discuss the benefits of ERP systems: efficiency, data accuracy, etc.
- Explain the challenges: cost, complexity, and change management.
- Highlight strategies for maximizing ERP benefits.
6.5 Case Studies and Practical Exercises in ERP Systems
- Present real-world examples of ERP implementations.
- Analyze the challenges and solutions in each case study.
- Provide hands-on exercises to reinforce learning.
### Module 7: Integration of Enterprise Applications
7.1 Importance of Application Integration in Enterprises
- Define application integration and its importance.
- Discuss the benefits of integrated applications.
- Explain the impact on business processes and efficiency.
7.2 Techniques for Integrating Enterprise Applications
- Discuss common integration techniques: APIs, web services, etc.
- Explain the role of data integration and synchronization.
- Highlight the importance of interoperability and standards.
7.3 Middleware and Enterprise Service Bus (ESB)
- Define middleware and its role in application integration.
- Explain the concept of an Enterprise Service Bus (ESB).
- Discuss the benefits of using middleware and ESB for integration.
7.4 Streamlining Business Processes through Integration
- Discuss how integration can streamline business processes.
- Explain the role of automation in process improvement.
- Highlight the importance of real-time data access and decision-making.
7.5 Case Studies and Practical Exercises in Application Integration
- Present real-world examples of application integration.
- Analyze the challenges and solutions in each case study.
- Provide hands-on exercises to reinforce learning.
### Module 8: Practical Applications and Future Trends
8.1 Hands-On Projects and Real-World Scenarios
- Provide practical projects to apply learned concepts.
- Discuss real-world scenarios and problem-solving techniques.
- Highlight the importance of hands-on experience in learning.
8.2 Emerging Trends in Enterprise Computing
- Discuss current trends in enterprise computing.
- Explain the impact of these trends on businesses.
- Highlight the importance of staying updated with industry developments.
8.3 Future of Enterprise IT: AI, IoT, and Blockchain
- Discuss the potential of AI in enterprise computing.
- Explain the role of IoT in transforming business operations.
- Highlight the impact of blockchain on enterprise systems.
8.4 Career Opportunities in Enterprise Computing
- Discuss various career paths in enterprise computing.
- Highlight the skills and qualifications needed for these roles.
- Provide tips for career development and advancement.
8.5 Course Review and Final Assessment
- Summarize key concepts and lessons from the course.
- Provide a comprehensive review for final assessment.
- Discuss next steps and further learning opportunities.