Bachir Chehab.
Adjunct Faculty Member — IT Management, Data & Analytics, Information Security
Ted Rogers School of Management, Toronto Metropolitan University · chehab.ca
Growing up with an enduring curiosity about the world around me, I have always asked questions to learn more and to provoke my imagination toward discovery. That curiosity translated into a love for giving and sharing knowledge — and ultimately shaped my passion for teaching as an occasion to connect with students and increase awareness of the world around them.
My philosophy of teaching has developed from my experiences as a learner, a coach, and a practitioner. I strive to create a learning environment where all students feel that their differences are valued and respected, have equitable access to learning opportunities, and are supported to learn to their full potential.
Three key principles guide my teaching practice:
Courses span undergraduate and graduate programs in IT management, data and analytics, information security, and emerging technologies — delivered at the Ted Rogers School of Management, Toronto Metropolitan University (2021–present) and the School of Business Administration, American University of Sharjah (2015–2018).
Official course descriptions from the TMU Undergraduate Calendar (2026–2027) and AUS course records. Courses marked (G) are offered at the graduate level.
An introduction to business intelligence and analytics, defined as the extensive use of data, statistical and quantitative analysis, exploratory and predictive models, and fact-based management to drive decisions and actions. Covers development and use of data warehouses and data marts, and the application of selected data mining techniques to business decision making.
A systematic approach to model, analyze, and redesign business processes to meet target values of key performance indicators such as cycle time and cost. Develops competencies in process modeling, analysis, and redesign to ensure organizational efficiency and effectiveness using Business Process Modeling Notation (BPMN).
Advances theoretical knowledge and applications of electronic commerce, integrating technical, social, and business aspects of creating and maintaining an e-Commerce presence. Covers interface, database design, security, analytics, and business and financial models that underpin e-Commerce, applied through hands-on laboratory and project activities.
Equips students with essential skills to bridge the gap between software development and IT operations. Covers DevOps methodology to shorten the information system development lifecycle while fostering a culture of seamless integration and continuous improvement, using Agile project management methodology.
Explores issues of privacy in the digital age, covering concepts, terminology, and issues related to data and information access and privacy. Introduces theories, standards, and techniques underlying information management programs and privacy protection practices, ethical use of personal information, data protection regulations, and industry best practices.
Comprehensive coverage of the concepts, architectures, and technologies of cloud computing from a business perspective. Deep-down analysis of architectures and mechanisms that capture the real-world of cloud platforms, covering what organizations need to know to plan for developing applications on cloud and evaluating hosted services.
Explores the application of Generative AI (GenAI) within a business context, focusing on how GenAI technologies can drive innovation, enhance decision-making, and create new value across industries. Covers foundational principles, models, ethical considerations, and societal impact. Students develop skills to critically evaluate and implement GenAI models aligned with business objectives.
Introduces data visualization as a key analytical and communication tool in business decision-making. Covers principles of visual design, data types, and the use of visualization tools to explore and communicate patterns, trends, and insights from data to support organizational and strategic decisions.
Examines big data characteristics, technologies, and analytics methods in a business context. Covers scalable data processing platforms, unstructured data analysis, predictive analytics, and the application of big data tools to generate actionable insights and support data-driven decision-making across industries.
Covers enterprise-level information security management, including the design and implementation of security policies, risk assessment, access controls, incident response, and compliance frameworks. Examines the organizational, technical, and regulatory dimensions of protecting information assets in complex enterprise environments.
Examines the identification, assessment, and mitigation of cyber risks and threats in organizational contexts. Covers threat intelligence, vulnerability management, risk quantification, and cybersecurity governance frameworks, equipping students to design and manage risk-informed cyber defence strategies.
Students integrate IT and management knowledge within a real-world context, modeling, analyzing, designing, and simulating feasible information system solutions. Develops business acumen and the capability to apply IT and management models to effectively solve business problems while assessing risks and uncertainties in IS implementation.
Introduces the role of information systems in business organizations. Covers types of information systems, their strategic applications, and the relationship between IT and business processes. Students develop foundational understanding of how organizations leverage technology to support operations, decision-making, and competitive advantage.
Provides a foundational understanding of management information systems and their role in organizational effectiveness. Covers information system concepts, data management, systems development, and the strategic use of IT in management decision-making across functional areas of business.
| Term | Code | Title | § |
|---|---|---|---|
| Spring/Summer 2026 | ITM900 | Capstone Project | 1 |
| Winter 2026 | CITM618 | Business Intelligence and Analytics | 1 |
| Winter 2026 | ITM450 | Foundations of DevOps | 1 |
| Winter 2026 | ITM550 | Advanced e-Business | 1 |
| Winter 2026 | ITM745 | Generative AI in Business | 1 |
| Winter 2026 | ITM835 | Cyber Risk and Threat Management | 1 |
| Fall 2025 | CITM711 | Cloud Computing | 1 |
| Fall 2025 | ITM620 | Privacy in the Digital Age | 1 |
| Fall 2025 | ITM760 | Big Data Analytics | 1 |
| Fall 2025 | ITM825 | Enterprise Information Security | 1 |
| Spring/Summer 2025 | ITM900 | Capstone Project | 1 |
| Fall 2024 | ITM618 | Business Intelligence and Analytics | 1 |
| Fall 2024 | ITM415 | Business Process Management | 1 |
| Spring/Summer 2024 | ITM415 | Business Process Management | 1 |
| Winter 2024 | ITM900 | Capstone Project | 2 |
| Fall 2023 | ITM752 | Data Visualization | 2 |
| Fall 2023 | ITM415 | Business Process Management | 1 |
| Winter 2023 | ITM550 | Advanced eBusiness | 1 |
| Winter 2023 | ITM752 | Data Visualization | 1 |
| Winter 2023 | ITM900 | Capstone Project | 1 |
| Fall 2022 | ITM415 | Business Process Management | 2 |
| Fall 2022 | ITM618 | Business Intelligence and Analytics | 1 |
| Spring/Summer 2022 | ITM415 | Business Process Management | 1 |
| Winter 2022 | ITM550 | Advanced eBusiness | 2 |
| Winter 2022 | ITM900 | Capstone Project | 1 |
| Spring/Summer 2021 | ITM90B | Capstone Project Part B | 1 |
| Winter 2021 | ITM90A | Capstone Project Part A | 1 |
| Term | Code | Title | § |
|---|---|---|---|
| Spring 2018 | BIS101 | Business Information Systems | 2 |
| Fall 2017 | BIS101 | Business Information Systems | 2 |
| Fall 2016 | MIS201 | Fundamentals of Management Information Systems | 1 |
| Fall 2016 | BIS101 | Business Information Systems | 2 |
| Summer 2016 | BIS101 | Business Information Systems | 1 |
| Fall 2015 | BIS101 | Business Information Systems | 2 |
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