Course Overview
The “Certificate Program in Management Information Systems (MIS)” is a comprehensive three-month course designed to provide learners with a deep understanding of the principles, technologies, and practices of managing information systems within an organisation. This course covers a wide range of topics, including effective use of the Microsoft Office Suite, advanced Excel for data analysis, RDBMS and SQL programming, and professional skills and ethics. Through a blend of interactive lectures, hands-on exercises, and real-world projects, participants will gain the skills and knowledge needed to effectively manage and leverage information systems to drive business success.
Course Structure
Duration: Three months
Lectures per week: 3
Hours per lecture: 2
Total hours: 72
Module 1: Effective Use of MS Office Suite (10 hours)
Lecture 1: Introduction to Microsoft Office Suite
Overview of MS Office applications (Word, Excel, PowerPoint)
Installation and setup
Lecture 2: Microsoft Word – Basic to Intermediate
Document creation and formatting
Using templates and styles
Collaboration tools and track changes
Lecture 3: Microsoft Excel – Basic to Intermediate
Spreadsheet basics and data entry
Formulas and functions
Data visualisation with charts and graphs
Lecture 4: Microsoft PowerPoint – Basic to Intermediate
Creating presentations
Using themes and templates
Adding animations and transitions
Lecture 5: Integrating MS Office Applications
Linking data between Word, Excel, and PowerPoint
Practical exercises and hands-on projects
Module 2: Advanced Excel: Data Analysis Tools and Techniques (8 hours)
Lecture 6: Advanced Excel Functions and Formulas
Advanced functions (VLOOKUP, HLOOKUP, INDEX, MATCH)
Array formulas and nested functions
Lecture 7: Data Analysis with Excel
Using PivotTables and PivotCharts
Data summarization and aggregation
Lecture 8: Excel Data Visualization
Advanced charting techniques
Conditional formatting and sparklines
Lecture 9: Excel for Financial Analysis
Financial functions and analysis tools
Scenario analysis and data tables
Lecture 10: Hands-On Exercises and Case Studies
Real-world data analysis projects
Practical exercises with advanced Excel techniques
Module 3: RDBMS and SQL Programming (8 hours)
Lecture 11: Introduction to Relational Database Management Systems (RDBMS)
Database concepts and architecture
Overview of RDBMS platforms (MySQL, SQL Server, Oracle)
Lecture 12: Basic SQL Programming
SQL syntax and structure
Writing basic SQL queries (SELECT, INSERT, UPDATE, DELETE)
Lecture 13: Intermediate SQL Programming
Advanced SQL queries (JOINs, subqueries, indexing)
Data manipulation and transformation
Lecture 14: Database Design and Normalization
Designing relational databases
Normalization techniques and ER modeling
Lecture 15: Hands-On SQL Projects
Real-world database management projects
Practical exercises with SQL programming
Module 4: Professional Skills and Ethics (8 hours)
Lecture 16: Professional Skills for MIS Professionals
Effective communication and presentation skills
Time management and productivity techniques
Lecture 17: Ethical Issues in Information Systems
Ethical Considerations in MIS
Privacy and data protection
Lecture 18: Legal and Regulatory Compliance
Understanding legal frameworks and regulations
Compliance requirements for information systems
Lecture 19: Building a Career in MIS
Professional standards and best practices
Networking and continuing education
Lecture 20: Case Studies in Professional Skills and Ethics
Real-world scenarios and case studies
Practical Exercises with ethical decision-making
Module 5: Systems Analysis and Design (8 hours)
Lecture 21: Introduction to Systems Development Life Cycle (SDLC)
Phases of SDLC (planning, analysis, design, implementation, maintenance)
The role of systems analysts
Lecture 22: Requirements Gathering and Analysis
Techniques for gathering requirements
Creating requirement specifications
Lecture 23: System Design Techniques
Designing system architecture
Data flow diagrams (DFD) and Unified Modeling Language (UML)
Lecture 24: Implementation and Maintenance
System implementation strategies
Testing and quality assurance
Lecture 25: Hands-On System Design Project
Real-world systems analysis and design project
Practical exercises with SDLC methodologies
Module 6: Information Security and Risk Management (8 hours)
Lecture 26: Introduction to Information Security
Key concepts of information security
Threats and vulnerabilities
Lecture 27: Risk Management in Information Systems
Identifying and assessing risks
Risk mitigation strategies
Lecture 28: Security Technologies and Practices
Network security (firewalls, intrusion detection systems)
Data encryption and cryptography
Lecture 29: Incident Response and Disaster Recovery
Developing an incident response plan
Disaster recovery planning
Lecture 30: Hands-On Security Projects
Practical exercises with security scenarios
Real-world information security projects
Module 7: Business Process Management (6 hours)
Lecture 31: Understanding Business Processes
Definition and importance of business processes
Process mapping and modeling
Lecture 32: Business Process Reengineering (BPR)
Principles of BPR
Techniques for process redesign
Lecture 33: Workflow Automation and Management
Tools and technologies for workflow automation
Implementing workflow management systems
Lecture 34: Hands-On Business Process Management Project
Real-world process management project
Practical exercises with workflow tools
Module 8: Strategic IT Management (8 hours)
Lecture 35: IT Governance and Strategy
Principles of IT governance
Developing an IT strategy
Lecture 36: IT Project Management
Fundamentals of project management
Managing IT projects
Lecture 37: Emerging Trends in MIS
Cloud computing and its impact on MIS
Big data and analytics
Lecture 38: Hands-On Strategic IT Management Project
Real-world IT management project
Practical exercises with IT strategy and governance
Module 9: Data Analytics and Decision Support Systems (8 hours)
Lecture 39: Introduction to Data Analytics
Key concepts of data analytics
Types of data analytics (descriptive, predictive, prescriptive)
Lecture 40: Tools and Technologies for Data Analytics
Overview of data analytics tools (Excel, Power BI, Tableau)
Data visualisation techniques
Lecture 41: Decision Support Systems (DSS)
Fundamentals of DSS
Building and using DSS
Lecture 42: Hands-On Data Analytics Project
Real-world data analytics project
Practical exercises with data analysis and visualisation
Module 10: Capstone Project and Review (10 hours)
Lecture 43: Project Planning and Design
Selecting a project topic
Planning and designing the project
Lecture 44: Project Development
Implementing the project
Integrating various MIS concepts
Lecture 45: Project Development (continued)
Debugging and testing the project
Preparing for presentation
Lecture 46: Project Presentation
Presenting the project to peers and instructors
Receiving feedback and making improvements
Lecture 47: Review and Next Steps
Reviewing key concepts and course highlights
Discussing advanced topics and further learning paths
Conclusion
The “Certificate Program in Management Information Systems” provides a comprehensive and in-depth understanding of MIS principles and practices. Through a blend of theoretical knowledge and practical experience, learners will develop the skills needed to effectively manage information systems and drive business success. By the end of the course, participants will be well-equipped to tackle real-world MIS challenges and advance their careers in the field of information systems management.
Join us at CTTI and embark on a transformative journey to mastering MIS.
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