Teaching...

Currently teaching the following courses:


Master with Specialization:


MSc in Data Science & Artificial Intelligence Strategy (DSAIS)


'Decision Aid Techniques' - Taught at Paris campus

Role - Course Designer, Instructor & Responsabilité Pédagogique (RP)

Course Description: This course covers the management science of decision aid, equipping students with tools for effective decision-making in simple, complicated, complex, chaotic, scenarios. Key topics include probability, naïve Bayes, and decision games. The course also explores multi-criteria decision analysis (MCDA) using conjunctive, disjunctive and lexicographic methods. It covers frameworks for integrating big data & AI in decision processes. Students gain practical skills in applying these techniques to real-world cases.


MSc in Digital Marketing & Data Science (DMDS)


'SQL' - Taught at Paris campus

Role - Course Designer, Instructor & Responsabilité Pédagogique (RP)

Course Description: This course introduces SQL and its applications in business, covering relational databases, data exploration, and manipulation. Students will learn basic to advanced SQL techniques, including data cleaning, complex joins, and subqueries. The course also delves into data modelling, database design, and optimizing SQL queries. Practical sessions include using Big Query, GCP & AWS, Python, and Tableau Prep for data handling. A capstone project allows students to apply their skills to real-world business scenarios.


'Data Governance' - Taught at Paris campus

Role - Course Instructor

Course Description: This course delves into the principles and practices of data governance, essential for effective data management in organizations. Key topics include the data governance concepts, frameworks,  roles and responsibilities. Students explore the symbiotic relationship between data governance and data strategy, including techniques for ensuring data quality, and the latest frontiers brought by AI. The course also addresses data policies, standards, ethics, and compliance with regulations like GDPR, CCPA, and HIPAA.


'Research Projects' - I mentor postgraduate students working on their final dissertations and theses. Here are the student projects |


MSc in Health Management & Data Intelligence


'Innovative Project Management' - Taught at Lyon campus

Role - Course Designer, Instructor & Responsabilité Pédagogique (RP)

This course provides advanced training in project management for healthcare professionals. It covers project life cycles, taxonomies, and healthcare-specific context. Key topics include project ideation, Work Breakdown Structures, Critical Path Method, Gantt Charts, and methodologies like Waterfall, Agile, Kanban, Scrum, and PRINCE 2. The course also focuses on stakeholder and risk management, change management, and benefits realization. Practical sessions and discussions ensure comprehensive, hands-on learning.


MSc in Cybersecurity & Defense Management 


'Data & AI Project Management' - Taught at Lyon campus

Role - Visiting Instructor

Visiting Seminars on Digital Ecosystems & Digital Twins & Final Project viva voce assessments 


MSc in Supply Chain & Purchasing Management


'Information Systems Architecture - Taught at Lyon campus

Role - Visiting Instructor

Visiting Seminars on Data, Databases & Data Analytics


Programme Grande École (PGE) - Master in Management (MIM) Programme:


"Business Analyst Toolbelt" - Taught at Écully campus

Role - Course Instructor

Key terms: RDBMS & SQL (with MySQL Workbench & Cloud SQL - Google Cloud Platform); Data Extraction and Cleaning with SQL; Statistics for Data Analytics; Data Viz with Tableau / Power BI; Wrangling spreadsheets (Excel, CSVs, JSON) & Databases; Final Project Portfolio


"Information Systems & Databases" - Taught at Écully & Lyon campuses

Role - Course Designer, Instructor & Responsabilité Pédagogique (RP)

Key terms: Organizational IS & Data (Collection & Storage Methods); RDBMS & Non-RDBMS Concepts: SQL & No-SQL; SQL, Python; Data Modeling (Conceptual -> Logical -> Physical runtime implementation) with Hackolade; Final Project (this is a Data Analyst Track cohort with two other complementary courses: R Shiny for Dashboards + Math & Stats for Data Science)


"Introduction to Data Analytics & Business Intelligence" - Taught at Écully & Lyon campus

Role - Course Designer & Instructor

Key terms: Business Intelligence (BI) process; PowerBI; Tableau Desktop & Tableau Prep; Data prep & cleaning; Data manipulation and exploration; No-code data analytics for business analysts; Data viz and dashboarding; Capstone project


Global Bachelor of Business Administration (G-BBA) Programme:


"Data Management" - Intro course, taught at Paris, St Étienne, and Éucully, campuses

Role - Course Designer, Instructor & Responsabilité Pédagogique (RP)

Key terms: Introduction to data; Business Intelligence; Data cleaning; Data Viz & Dashboards with Tableau


"Fundamentals of Information Systems Management" - Taught at Écully, Paris, St Étienne, and Lyon campuses

Role - Course Designer, Instructor & Responsabilité Pédagogique (RP)

Key terms: Core IS concepts: IS Acquisition, Privacy & Security, IS Strategy; Organizational IS, Functional Areas & Transaction Processing; Data Warehousing; Current & Future Trends


"Digital Ecosystems - Taught at Écully and Lyon campuses

Role - Course Designer & Instructor

Key terms: Digitalization & Digital Transformation; Digital Business Models; Digital Platforms & Ecosystems; Network Effects & Critical Mass; Big Data & Artifical Intelligence


Bachelor of Science (BSc.) in Data Science for Responsible Business:


BSc: Introduction to Information Systems & Web - Taught at Écully & École Centrale de Lyon campuses

Role - Course Designer, Instructor & Responsabilité Pédagogique (RP)

Key terms: Core IS concepts; IS Design with UML, Acquisition and Implementation; IS Privacy & Security; Front-end Web Design with Figma, HTML, CSS and JavaScript. 

2018 - 2022 : 

Teaching Fellow | Senior Tutor at Victoria University of Wellington , New Zealand

Role(s) Description:

My role combined three aspects, teaching, tutoring, and research assistance. The primary activities were was teaching and tutoring. I facilitated student engagement and discussion that enables students to understand lecture content. I also prepared and delivered lessons and extensively utilise case-based learning to the students that complemented the course materials by providing a practical perspective to learnt concepts. The role included marking student assignments and providing regular feedback to them. I have used hybrid modes of delivery that include face-to-face and digital tools. I am thus proficient using diverse virtual or e-learning platforms such as Canvas, Blackboard, Turnit-in, Google Class, MS Teams, Perusall, FlipGrid, Nearpod, Kahoot and Zoom. 

‘Information Technology Architecture’ for final year undergraduate level students

Highlights: Digital Business Analysis & Cases, Digital Business Strategy, Digital Innovation and Competitiveness

Lecturer: 2022 - Trimester 1 - NFO386 - Information Technology Architecture


‘Introduction to Information Systems’ for 1st year undergraduate level students (faculty-wide course with trimester intakes of 400-600 students each)

Highlights: Core IS concepts; practice: Web design (HTML, JavaScript, CSS), Data Analytics

Lecturer: 2022 - Trimester 1: NFO101 - Introduction to Information Systems

Lecturer: 2021 - Trimester 1/2: NFO101 - Introduction to Information Systems

- Intergen Young Achievers 2021 prize-giving

Tutor: 2020 - Trimester 1/2: NFO101 - Introduction to Information Systems


‘Management of IT Projects’ for 2nd year undergraduate level students

Highlights: Project Management, Work Breakdown Structures, Project Planning, Critical Path Method, Project Methodologies, Risk Management

Senior Tutor: 2021 - Trimester 2 - NFO231 - Management of IT Projects


‘Digital Strategy’ for final year undergraduate level students

Highlights: Digital Business Analysis & Cases, Digital Business Strategy, Digital Innovation and Competitiveness

Senior Tutor: 2021 - Trimester 2 - NFO354 - Digital Strategy

Tutor: 2020 - Trimester 2 - NFO354 - Digital Strategy


‘Case Studies in Information Systems’ for final year undergraduate level students

Highlights: Case Analysis of multiple projects in Information systems. Key topics include digital transformation, digital platforms, and business innovation.

Tutor: 2020 - Trimester 1 - NFO395 - Case Studies in Information Systems


‘Digital Business Innovation’ for 3rd year undergraduate level students

Highlights: Business Model Canvass, Disruptive Innovation, Sharing Economies & Crowdsourcing, IoT

Tutor: 2019- Trimester 1 - NFO334 - Digital Business Innovation

2014 - 2015

Peer Tutor at University of Leeds, UK

Role Description:

This was a voluntary role combined with being an appointed cohort delegate. I provided tutorship for peer fellows in the Master of Science students at the then Yorkshire Centre of Health Informatics, Leeds Institute of Health Sciences, University of Leeds.


2013 - 2016

Lecturer, National University of Science & Technology, ZW

Role Description:

Tutored and Lectured in the following courses and areas: 

'Process Modelling in Information Management' for final year Master's level students

Highlights: Process Modelling in Information Management (Final year Master's level): Explored advanced process modelling techniques, focusing on UML for designing and optimizing information flows. Emphasized integration with information management systems to enhance decision-making and operational efficiency in data-driven environments. 

'Archival Informatics' for 2nd year undergraduate level students

Highlights: Introduces principles of digital archiving technologies and tools, including metadata standards and electronic record management systems. Covers principles and practices of working with Digital Archives to ensure long-term accessibility and usability. Also explains the unique challenges of capturing and ensuring the authenticity and reliability of digital records as well as ensuring their long-term preservation of permanent records. Covers the OASIS model.

'Information Economics' for final year undergraduate level students

Highlights: Analyzes economic principles in digital markets, including information selling (infopreneurship), perfect and imperfect information.. Introduces quantitative and qualitative methods for assessing the value of information.  Also explores strategies for leveraging information assets to achieve competitive advantage and innovation in digital business environments.

'Electronic Records Management' for 2nd year undergraduate level students

Highlights: Provides foundational knowledge in managing electronic records, focusing on classification, retention policies, and compliance with standards. Coveres principles and practices of working with Electronic Records Management Systems (ERMS) to ensure data integrity and security in organizational contexts. Also introduces the the InterPARES framework, and ISO15489 standards.

'Research Projects' - I  mentored undergraduate and postgraduate students working on their final dissertations and theses in the broad area of information studies: 

|  Here are the student projects |