AMS 906 / MIS 806: Advanced Management Information Systems

Strategic digital transformation, enterprise architecture, cloud computing, data/AI, and security management for modern organizations.

Created by Ademuyiwa Olatunbosun • Lecturer: Dr. Musa Safiyanu Adam

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Course Overview

This course explores how information systems and emerging technologies enable strategy, transform business models, and reshape organizational processes. Building from the study materials, we cover modern IT infrastructure and networking; cloud computing models (IaaS, PaaS, SaaS); data/AI foundations; information security fundamentals (confidentiality, integrity, availability); authentication, authorization, and encryption; risk management; and the evolving cyber threat landscape (e.g., DDoS, SQL injection, ransomware, insider threats, MitM, APTs, supply chain attacks) and defenses (firewalls, IDS/IPS, MFA, encryption).

We’ll connect these foundations to enterprise architecture, analytics/AI implementation, zero trust, governance/compliance, and global MIS strategy— culminating in practical methods for threat detection, vulnerability assessment, security awareness, and incident reporting in real organizations.

Masters & PhD tracks Hands-on labs Case studies

Target Audience

Master's Students

PhD Candidates

Master's Focus

Practical implementation skills and systems thinking
Cloud, data/AI integration, and security tooling
Analytics for decision support and operations
Case-based, real-world deployment

PhD Focus

Research methods and theory-building
Experimental design and reproducibility
Security/AI governance and policy analysis
Publication-ready deliverables

Course Format

Weekly Structure: 3 hours lecture + 1 hour seminar/lab
Interactive lectures with current industry examples and case work
Hands-on labs with practical tool usage and implementation
Seminar debates on emerging trends and research
Guest speakers from industry and regulatory bodies
Collaborative projects with peer review

Key Learning Objectives

By the end of this course, students will be able to:

Explain and apply core MIS concepts to strategy and operations
Differentiate cloud service and deployment models; plan suitable architectures
Design data/AI workflows and evaluate tradeoffs in model deployment
Apply the CIA triad, AuthN/AuthZ, and encryption to protect systems
Execute risk identification, assessment, mitigation, and monitoring processes
Analyze common attack vectors (DDoS, SQLi, ransomware, insider, MitM, APT, supply chain)
Configure and interpret defenses (firewalls, IDS/IPS, MFA, logging), and threat detection methods
Conduct vulnerability assessments and communicate findings
Implement zero trust principles and align with governance/standards
Lead digital transformation initiatives and evaluate future technologies

Detailed Course Modules

The course is organized into comprehensive modules. Click on each topic to expand the lecture notes.

Module 1: Digital Strategy & Enterprise Architecture

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Weeks 1–2: Linking business strategy to technology architecture to achieve competitive advantage.

Strategy Frameworks: Strategic alignment (e.g., SISP), technology as a shaper of business models.
EA Layers: Business, Data, Application, Technology—interactions and governance.
Cloud-Native Foundations: Microservices, containers, orchestration, serverless.
TOGAF: ADM for systematic design, planning, and governance of EA.

Audio Lecture

Module 2: IT Infrastructure, Networking & Cloud Computing

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Weeks 3–4: Core infrastructure topics from the study notes and NIST cloud definition.

Networking & Telecom: LAN/WAN, VoIP, wireless (Wi‑Fi, Bluetooth, cellular) for collaboration and mobility.
Cloud Models: IaaS, PaaS, SaaS—capabilities and responsibilities; deployment models.
NIST Cloud Definition: Essential characteristics and models.
Infrastructure for MIS: Aligning scalability, reliability, and cost with organizational needs.

Intro to Data Strategy and Modern Infrastructure Audio Lecture

Audio Lecture

Module 3: Business Analytics, AI & Big Data

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Weeks 5–6: Analytics continuum and AI deployment considerations from the notes.

Analytics Continuum: Descriptive → Diagnostic → Predictive → Prescriptive.
AI & Big Data: Capabilities and enterprise use cases; data governance and quality.
MLOps/LLMOps: Deployment, monitoring, model governance, risk.
RAG vs Fine‑tuning: Grounding vs adaptation tradeoffs for enterprise tasks.

Audio Lecture

Module 4: Intelligent Enterprise Systems

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Weeks 7–8: BPM, automation, and platform evolution.

BPM & RPA: Modeling, optimizing, and automating processes.
ERP/CRM/SCM: Cloud platforms and extensibility ecosystems.
IoT & Digital Twins: Simulation/optimization of physical systems.

Audio Lecture

Module 5: Cybersecurity Fundamentals & Risk Management

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Security Principles (CIA Triad)

Confidentiality, Integrity, Availability

AuthN, AuthZ, and Encryption

Authentication, Authorization, and Encryption.

Risk Management Process

Identify → Assess → Mitigate → Monitor

Major Threats

DDoS, SQL Injection, Ransomware, Insider Threats, MitM, APTs, Supply Chain.

Audio Lecture

Module 6: Threat Detection, Vulnerability Assessment & Defenses

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Defense Mechanisms

Firewalls, IDS/IPS, MFA, encryption.

Threat Detection Methods

Behavioral analysis, anomaly detection, signatures.

Vulnerability Assessment (MIS)

Scanning and patch management.

Audio Lecture

Module 7: Governance, Ethics, Zero Trust & Global MIS Strategy

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Zero Trust: “Never trust, always verify”.
Ethics & Privacy: Transparency, fairness, compliance.
Global Data Governance: Data sovereignty and standards.
Global MIS Strategy: Coordination and adaptation.
Future Tech: Edge computing, 5G, blockchain.

Audio Lecture

Assessment Structure

Program-level distributions are shown below. Adjustments may be announced by the lecturer.

Master's Program Assessment

PhD Program Assessment

In‑Lecture Links (Jump to Topic)

Digital Strategy & EA Cloud (IaaS/PaaS/SaaS) AI & Big Data Security Fundamentals Threat Detection Governance & Zero Trust

Course Materials

Course Outline (PDF)
Download →

Core Textbooks & Readings

Enterprise Architecture as Strategy by Jeanne W. Ross et al.
View on Amazon →

Data Mesh: Delivering Data-Driven Value at Scale by Zhamak Dehghani
View on O'Reilly →

Key Frameworks & Standards

NIST: The Definition of Cloud Computing (SP 800‑145)
NIST SP 800‑145 →

NIST Zero Trust Architecture (SP 800‑207)
NIST SP 800‑207 →

ISO/IEC 27001: InfoSec Management Systems
Official ISO Page →

Essential Tools & Platforms

Cloud Platforms (AWS, Azure, GCP)
Explore AWS Free Tier →

Architecture & Diagramming
Use diagrams.net (Free) →

AI & Machine Learning
Explore Hugging Face Hub →