Teaching

I help students connect rigorous software engineering, data science, artificial intelligence and programming theory with modern practice through immersive labs, industry-backed briefs, AI tools based critical thinking and research-informed guidance.

Years teaching 9+

Universities 10

Units/Courses covered 36

Units/Courses Reviewed and Refreshed 33

Teaching philosophy

Hands-on practice

Studios, labs and live demos keep delivery applied and industry-relevant.

Research-informed

Latest findings in software engineering, AI and data science flow directly into coursework.

Industry alignment

Capstones and assessments mirror real collaboration patterns and delivery cadences.

Global perspective

International teaching experience helps tailor examples to diverse cohorts.

Teaching areas

Coverage spans software systems, intelligent tooling and delivery leadership.

Software Engineering

Architecture, design, reviews, testing, quality assurance and tooling.

Programming & Paradigms

Object-oriented design & development, functional thinking and full-stack web delivery.

AI & Machine Learning

Core AI concepts blended with practical data and automation pipelines.

Project Leadership

Agile, Scrum, systems thinking and software process improvement.

Cybersecurity

Secure coding foundations and offensive testing strategies for modern stacks.

Units/Courses taught, refreshed and reviewed, listed by institutions

Legend: S1/S2 = Semesters | T1/T2/T3 = Trimesters | [O] = Online delivery

Monash University

2017-2022, 2025

FIT5238 – Information Technology Systems Capstone Project (2025 T3) · Postgraduate
FIT5171 – System Validation and Verification, Quality and Standards (2019 S2) · Postgraduate
FIT5136 – Software Engineering (2017 S2, 2018 S1/S2, 2019 S1) · Postgraduate
FIT5042 – Enterprise Application Development for the Web (2018 S2, 2021 S2 [O], 2022 S2) · Postgraduate
FIT3080 – Artificial Intelligence (2021 S2) · Undergraduate
FIT3077 – Software Engineering: Architecture and Design (2017-2022, selected semesters) · Undergraduate
FIT2107 – Software Quality and Testing (2017-2022) · Undergraduate
FIT2102 – Programming Paradigms (2017 S2) · Undergraduate
FIT2101 – Software Engineering Process and Management (2017-2020) · Undergraduate
FIT2099 – Object Oriented Design and Implementation (2017-2022) · Undergraduate

Adelaide University (formerly University of Adelaide)

2024 - 2025 · Subject Matter Expert

Curriculum review and refresh for Software Engineering, Data Science and Cybersecurity units.

COMPSCI3310 – Software Engineering & Project (Artificial Intelligence)
COMPSCI3311 – Software Engineering & Project (Data Science)
COMPSCI4405 – Research Methods in Software Engineering and Computer Science
COMPSCI7210OL – Foundations of Computer Science – Python A
COMPSCI7211OL – Foundations of Computer Science – Python B
COMPSCI7212OL – Human and Ethical Factors in Computer Science
COMPSCI7213OL – Applied Privacy
COMPSCI7214OL – Human-Centred Security
COMPSCI7306OL – Introduction to System Security
COMPSCI7308OL – Advanced Cyber Security: Techniques and Concepts
COMPSCI7317OL – Using Machine Learning Tools
COMPSCI7319OL – Big Data Analysis and Industry Project
COMPSCI7415OL – Research Methods
COMPSCI7420OL – Research Methods for Cyber Security
DATA7201OL – Data Taming, Modelling & Visualisation
DATA7202OL – Applied Data Science
DATA7203OL – Working with Big Data
DATA7301OL – Applications of Data Science
DATA7302OL – Real Data: Modern Methods for Finding Hidden Patterns
DATA7303AOL – Data Science Research Project A
DATA7303BOL – Data Science Research Project B
COMMGMT7023OL – Business Data & Cyber Security
COMMGMT7024OL – Business Information Systems & Management
COMMGMT7025OL – Information Risks, Threats, & Controls
CYBER7103AOL – Cyber Security Research Project A
CYBER7103BOL – Cyber Security Research Project B
MATHS7027OL – Mathematical Foundations of Data Science
MATHS7203OL – Applied Data Science and Mathematics
APPMTH7201OL – Decision Sciences
POLIS7024OL – Political Institutions and Policy Making

ADA University

2024-2025

CSCI3612 – Object Oriented Analysis and Design (2025 S1)
CSCI4731 – Software Design and Patterns (2025 S1)
INFT3609 – IT Project Management (2024 S2)
CSCI3509 – Introduction to Software Engineering (2024 S2)

University of Melbourne

2019-2024

COMP90041 – Programming and Software Development (2023 S2, 2024 S1) · Postgraduate
SWEN90016 – Software Processes and Management (2023 S1, 2024 S1) · Postgraduate
SWEN90007 – Software Design and Architecture (2020 S2) · Postgraduate
SWEN90006 – Software and Security Testing (2022 S2, 2023 S2) · Postgraduate
SWEN30006 – Software Modelling & Design (2019 S1/S2, 2020 S1) · Undergraduate

Victorian Institute of Technology

2023

Includes Edith Cowan University student cohorts for CSP5110.

MITS5002 – Software Engineering Methodology (2023 S1)
ITAP3009 – Software Analysis, Design and Architecture (2023 S1)
ITAP2013 – Software Engineering (2023 S1)
ITAP2004 – System Analysis and Design (2023 S1)
CSP5110 – Programming Principles (2019 S2)

Victoria University

2023

ICT40120 – Certificate IV in Information Technology (2023 S2 [O])
22603VIC – Certificate IV in Cyber Security (2023 S1 [O])

RMIT University

2020-2023

COSC2299 – Software Engineering: Process and Tools (2023 S1) · Postgraduate
ISYS1118 – Fundamentals of Software Engineering (2021 S1) · Undergraduate
ISYS1106 – Software Engineering Project Management (2020 S1/S2, 2021 S1/S2) · Undergraduate

Swinburne University of Technology

2019-2022

COS30020 – Web Application Development (2019 S2)
COS10009 – Introduction to Programming (2020-2022)

Deakin University

2022

SIT232 – Object Oriented Programming (2022 T2)

Southern Cross University

2018-2019

ISY10212 – Contemporary Issues in Information Technology (2018 S2 [O])
CMP91020 – Emerging Technologies in Business (2018 S2, 2019 S1 [O])

Melbourne Institute of Technology

2017-2019

Course delivery for Federation University cohorts.

ITECH2100 – Programming 2 (2017 S1)
ITECH5403 – Comparative Programming Languages (2017 S2)

Najam Nazar