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teaching
CS/CE 355/373 - Database Systems
Undergraduate, Habib University, Computer Science Department, 2025
This course explores in detail the theoretical and practical aspects of Relational Database Management Systems (RDBMS). It aims to build an understanding of database modeling, relational algebra, structured query language (SQL), transaction management, and concurrency control. Additionally, the course covers topics related to database connectivity with front-end applications and discusses administrative aspects of database systems. These aspects include database security, the distinction between database management, data warehousing, and data mining, as well as big data and its challenges. Modern database techniques are also a part of the course, including a discussion of MongoDB as one of the modern databases.
CS/CE 224/272 - Object Oriented Programming and Design Methodologies
Undergraduate, Habib University, Computer Science Department, 2025
Object Oriented Programming (OOP) offers a new and powerful way to cope with complexity. Instead of viewing a program as a series of steps to be carried out, it views it as a group of objects that have certain properties and can take certain action. This course aims to introduce fundamental OOP concepts, and use C++ as an object oriented programming language.
CS 363 - Networks, Games, and Collective Behavior
Undergraduate, Habib University, Computer Science Department, 2026
Studying human social behavior warrants an interdisciplinary perspective, and thus, it is becoming increasingly important to understand the transient dynamics of networks in which human society is embedded. This course covers topics ranging from the foundation of network science including its mathematical foundations, to game theory, and computational social choice focusing on systems that exhibit collective behavior, helping us to understand human social behavior from a theoretical and an applied lens. We will also explore the effects of pairwise and group-wise decision-making using a game-theoretic framework to gain insight into collective behavior in natural and artificial systems.