1. Concepts and Content Learned:
Students will learn several fundamental concepts and content through this activity:

Signal Generation: How to generate various types of signals, including continuous-time and discrete-time signals.
Signal Manipulation: Techniques for modifying and processing signals, such as convolution and filtering.
Frequency Domain Analysis: Understanding Fourier analysis and the concept of spectrum.
System Modeling: How to model and analyze the behavior of linear time-invariant (LTI) systems.
MATLAB Usage: Gaining proficiency in using MATLAB for signal processing tasks.

MATLAB is an integral part of this activity, serving as the primary tool for implementing, simulating, and analyzing signals and systems. It improves student learning in several ways:

Visualization: MATLAB's plotting capabilities allow students to visualize the effects of signal processing operations, aiding in the comprehension of complex concepts.

Experimentation: Students can experiment with different parameters and scenarios, fostering critical thinking and problem-solving skills.
Efficiency: MATLAB automates calculations, reducing the risk of errors and enabling students to focus on understanding concepts.
Real-world Application: By using MATLAB for practical tasks, students bridge the gap between theory and real-world applications, enhancing their preparedness for engineering and scientific careers.

3. Higher-Order Thinking Skills:
This activity encourages the development of higher-order thinking skills, including:

Critical Thinking: Students analyze and interpret results, make decisions about signal processing parameters, and troubleshoot issues.
Computation and Data Analysis: They perform numerical computations, analyze data, and interpret results.
Synthesis of Ideas: Students apply theoretical knowledge to solve practical signal processing problems and synthesize concepts from the course.
Model Development: In system modeling, students create mathematical models to describe real-world systems and analyze their behavior.

In addition to the technical and conceptual skills, this activity can also develop other valuable skills:

Documentation: Students must document their MATLAB code and results effectively, enhancing their communication skills.
Presentation: Presenting their findings to the class improves oral communication and presentation skills.

Problem-Solving: The activity challenges students to solve signal processing problems creatively and efficiently.

Data Interpretation: Students learn to interpret graphical representations of signals and system responses.

Time Management: Managing the completion of the assignment within a specified time frame enhances time management skills.

In the Signals and Linear Systems, the MATLAB manual is provided for students at the undergraduate level, typically in their second or third year of engineering or related programs. The class size can vary but is usually within the range of 25 to 30 students. It is typically conducted in a classroom setting, complementing the theoretical coursework in the Signals and Linear Systems course.

The signals and linear systems course do not include independent lab sessions for this reason a Quick manual help students to utilize MATLAB for their problem solving and projects.

Students should have a foundational understanding of MATLAB basics, including familiarity with the MATLAB environment, scripting, creating variables, and basic plotting. They should be comfortable with MATLAB's syntax and have experience using basic functions and mathematical operations. While prior experience with signal processing is beneficial, it is not mandatory as the assignment will guide students through relevant concepts.

Students should have completed prerequisite courses in mathematics, including calculus, linear algebra, and differential equations. A basic understanding of signals and systems theory, as introduced in the earlier parts of the course, will be assumed. However, the assignment will provide additional context and guidance as needed.

This MATLAB activity is introduced after students have acquired fundamental theoretical knowledge, making it an appropriate hands-on application of those concepts. The assignment can be adapted for use in other settings with relative ease, provided that students have the necessary prerequisite knowledge in signal processing and MATLAB basics. Adaptations may include modifying the complexity of signal processing tasks or adjusting the specific topics covered based on the course's goals and level.

Before starting the activities regarding using MATLAB, students should have mastered the following technical skills in MATLAB:

Creating and manipulating matrices and vectors.
Basic operations like addition, subtraction, multiplication, and division of arrays.
Plotting data using functions like plot, stem, and subplot.
Implementing loops and conditional statements.
Using built-in MATLAB functions for numerical operations.
Saving and loading data from files.
Familiarity with basic signal processing concepts (e.g., time-domain and frequency-domain representations).

This manual extracted from sources including:

1Signals and Systems: Analysis Using Transform Methods & MATLAB, 3rd Edition By M.J Roberts.

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https://www.mathworks.com/support/learn-with-matlab-tutorials.html

This teaching activity was created as a part of the Teaching Computation with MATLAB Workshop held in 2023 at Carleton College.