Teaching

 Fall 2023

CSE 321: Data Mining and Machine Learning

CSE 326: Data Mining and Machine Learning Lab

CSE 135: Data Structures Lab

Teach Students:

• Basics on Data Structures and Machine Learning 

• To apply the concept of Data Structures in solving problems

• To apply the concept of data mining in solving problems

• To demonstrate applications of data mining using tools

• To apply knowledge of data mining in project work

Spring 2024

• CSE 412: Big Data and IoT

• CSE 413: Big Data and IoT

• CSE 317: Software Engineering V

Teach Students:

• Fundamental Concepts: Grasp IoT and robotics principles and architecture.

• Technological Proficiency: Understand IoT technologies and robotics programming.

• Data Management: Acquire skills for data collection and analysis from IoT devices.

• Design Skills: Design and implement Basic IoT applications 

• Problem-Solving: Solve real-world problems through hands-on projects.

• Security Awareness: Recognize security challenges and ethical issues in IoT and robotics.

Fall 2024

• SE 131: Data Structure

• SE 132: Data Structure Lab

• SE 214: Algorithms Design and Analysis

• SE 215: Algorithms Design and Analysis Lab

• SE 322: Software Engineering Web Application Lab

Teach Students:

• Analyze and calculate time complexity and space complexity of various algorithms or any written code using mathematical formula and comparison of algorithms.

• Generate and interpret the output of iterative and recursive codes with the analysis of the problem definition.

• Identify which algorithm listed under which algorithmic paradigm. Compare among various algorithms/implemented codes and choose the efficient one.

• Break down and describe the simulation of various algorithms for different input values.

• Design and apply appropriate algorithms to solve real-life problems.