ELEC 360

Signals and Systems

Analysis of continuous-time and discrete-time signals and systems using time-domain and frequency-domain techniques

👨‍🏫
Instructor: Dr. Mohammad Al Bataineh
📚
Credits: 3 Credit Hours
🎓
Level: Undergraduate
📅
Current Term: Fall 2025
📋
Prerequisite: MATH 2210

📍 Class Sections

📌Section 01

Time: Tuesday/Thursday
11:00 AM - 12:15 PM

Location: F3-SAC Building 037

📌Section 02

Time: Monday/Wednesday
8:00 AM - 9:15 AM

Location: F1-CENCOSCFA 2007

📖 Course Overview

Continuous-time and discrete-time signals and systems. Linear time-invariant (LTI) systems: system properties, convolution sum and the convolution integral representation, system properties, LTI systems described by differential and difference equations. Fourier series: properties and applications, Fourier transform: properties and applications.

Prerequisite: MATH 2210 - Differential Equations & Engineering Applications

🎯 Course Learning Outcomes

Upon successful completion of this course, students will be able to:

  • Understand the basics of signals and systems: including signals' operation, classifications, operation and conditioning, systems properties, classifications, and modeling
  • Solve first and second order systems using system impulse responses and convolution, find the zero-input and zero-state responses
  • Derive the generalized Fourier Series (FS) expansion of a signal, sketch and interpret the Frequency Line Spectra of periodic signals
  • Find Fourier Transform (FT) and understand its properties, sketch and interpret the Frequency Spectra of signals
  • Apply Fourier transform techniques in applications of system analysis such as basic ideal filters and AM modulation
  • Use computing tools such as MATLAB to solve signal and systems analysis problems

📋 Course Topics

📚 Required Textbook

📖 Main Reference

B. P. Lathi
Linear Systems and Signals
3rd Edition, 2018
Oxford Press

📊 Assessment & Grading

30% Homework & Quizzes
25% Midterm Exam
5% MATLAB Assignments
40% Final Exam

⚠️ Important Policies

  • Attendance: Students who miss 15% of classes will be awarded an "FA" grade
  • Academic Integrity: Plagiarism and cheating result in serious penalties including dismissal from the university
  • Feedback: Regular feedback on progress will be provided to help improve performance

📚 Learning Resources

Instructional Materials: Textbook, lecture slides, handouts, MATLAB software, e-learning (Blackboard), Smart Board instructions.

📝Course Materials

All lecture slides, handwritten notes (iPad), and supplementary materials available on Blackboard at the start of the semester.

Access Blackboard (Section 01) Access Blackboard (Section 02)
Updated Weekly

🎥Video Lectures

Complete recorded lectures from MS Teams and YouTube channel for flexible learning and review.

Watch on YouTube (UAEU) Watch on YouTube (Yarmouk)
24/7 Access

💻MATLAB/Python Resources

Sample codes, hands-on tutorials, programming exercises, and MATLAB assignment materials to reinforce theoretical concepts.

MATLAB Tutorial Python Tutorial
5% of Grade

🎧Multi-Format Content

Podcasts, mental maps, and video overviews generated using NotebookLM for diverse learning styles.

Explore Formats New!

📐Interactive Visualizations

GeoGebra applications for visualizing complex functions, signal transformations, and system responses in 2D and 3D.

Try GeoGebra Interactive

📖Main Textbook

B. P. Lathi - Linear Systems and Signals, 3rd Edition, Oxford Press (2018)

Book Info Required

💬 Communication & Support

💬WhatsApp Group

Join the course WhatsApp group for instant communication, questions, and discussions available 24/7.

Join Group

👥MS Teams Class

Access recorded lectures, participate in discussions, and submit assignments through MS Teams.

Open Teams

Office Hours

In-person and virtual office hours available for one-on-one support and clarification.

Book Appointment

🌟 Tips for Success

📌 Recommended Study Strategy

  • Before Class: Review the posted lecture slides to familiarize yourself with topics
  • During Class: Actively participate, take notes, and ask questions
  • After Class: Watch recorded lectures for review and practice problems
  • Weekly: Complete assignments early and participate in WhatsApp discussions
  • Hands-On: Practice with MATLAB/Python code examples regularly
  • Visual Learning: Use GeoGebra visualizations to understand abstract concepts
  • Diverse Formats: Listen to podcasts during commute or use mental maps for revision

📧 Contact Information

Dr. Mohammad Fayez Al Bataineh

Email: mffbataineh@uaeu.ac.ae

Office: F1-1175

Phone: +971-3-7135146

Office Hours

Days: Monday/Wednesday

Time: 11:00 AM - 12:00 PM

Location: Office F1-1175

Also available via email appointment and WhatsApp group

🔗 Additional Support

Special Needs Services

Students with special needs should contact the Special Needs Services Center for accommodations.

Phone: +971-3-7134264
Email: disabilityservices@uaeu.ac.ae

📚Student Academic Success

Access academic support services including Independent Learning Centers, Tutorials, Writing & Speaking Centers.

Visit SASP

⚖️Academic Integrity

Review the UAEU Code of Academic Honesty for policies on plagiarism and academic misconduct.

View Policy