Teaching

Teaching and course design

Making advanced AI accessible to students from diverse technical backgrounds.

Courses at UNSW Canberra

ZEIT4150 Fundamentals of Artificial Intelligence
Undergraduate. Led the design and development of the course; convenor and lecturer. Delivered five times: S2 2022, S1 2023, S2 2024, S2 2025, S1 2026.
ZEIT4151 Machine Learning
Undergraduate. Co-designed and co-developed; lecturer. Delivered four times: S2 2022, S2 2023, S2 2024, S2 2025.
ZEIT8601 Applied Machine Learning
Postgraduate. Led the design and development; convenor and lecturer. Delivered twice: S2 2024, S2 2025.
ZEIT3101 IT Project 2
Undergraduate. Co-taught: S2 2025.
ZPEM1307 Computational Problem Solving
Undergraduate, first year. Contributed to teaching: S1 2024.

Courses at Zagazig University

As a Lecturer from 2014 to 2017, I delivered nine undergraduate and three postgraduate courses, including core first-year courses to cohorts of up to about 390 students.

Undergraduate
Introduction to Computers (CS120), Operating Systems (CS260), Advanced Operating Systems (CS400), Computational Intelligence (CS415), Human-Computer Interaction Design (CS465), Data Analytics for Big Data (CS475), Big Data Developer (CS420), and Selected Topics in IT and IS (IT475, IS475).
Postgraduate
Machine Learning (CS617), Natural Language Processing (CS606), and Data Analytics for Big Data (CS607).

Approach

Accessible by design

I design layered, multi-level learning resources so students at different starting points can all engage with advanced material, structuring each course to build from foundations toward authentic, applied problem-solving. This approach has earned consistently strong student satisfaction.

Credentials

Grounded in teaching practice

My teaching is backed by formal development: the UNSW Course Design Institute program, the Foundations of University Learning and Teaching program accredited by Advance HE, and the UNSW Graduate Teacher Training Program.