MATLAB Fundamentals to Computational Programming

Course Duration

MATLAB Fundamentals to Computational Programming Course Duration is only 4 weeks.

• 4 Weeks (4 sessions per week, 1.5 hours per session)

Course Description

MATLAB Fundamentals to Computational Programming course is designed to introduce beginners to MATLAB, a high-level programming language and environment used for numerical computing and data visualization. Through hands-on exercises and real-world examples, students will learn the fundamentals of MATLAB programming, data analysis, and visualization, setting a solid foundation for further exploration in computational analysis and engineering applications.

Learning Objectives

• Understand the MATLAB environment and its basic functionalities.
• Perform basic mathematical operations and data manipulations.
• Create and manage variables, arrays, and matrices.
• Develop and execute MATLAB scripts and functions.
• Visualize data using MATLAB’s plotting and graphing tools.

Course Content

Week 1: Introduction to MATLAB

• Overview of MATLAB Interface and Environment
• Basic Operations and Commands
• Creating and Managing Variables
• Working with Arrays and Matrices
• Basic Data Types and Operations

Week 2: Programming Basics in MATLAB

• Writing and Running Scripts
• Control Flow: Conditional Statements and Loops
• Functions and Function Files
• Error Handling and Debugging Techniques
• Script and Function Optimization

Week 3: Data Analysis and Visualization

• Importing and Exporting Data
• Data Manipulation and Analysis
• Basic Plotting: 2D and 3D Graphs
• Customizing Plots: Titles, Labels, Legends, and Annotations
• Advanced Visualization Techniques: Subplots and Specialized Plots

Week 4: Practical Applications and Project Work

• Applying MATLAB to Real-World Problems
• Working on a Mini Project: From Data Import to Visualization
• Review and Q&A
• Best Practices for MATLAB Programming
• Resources for Further Learning

Course Structure

• Weeks 1-2: MATLAB Basics and Programming
• Weeks 3-4: Data Analysis, Visualization, and Practical Applications

Assessment and Grading

• Quizzes: 20%
• Case Studies Analysis: 30%
• Reflective Essays: 25%
• Final Project: 25%

Courses Policies

• Participation: Active engagement in discussions and activities is encouraged.
• Academic Integrity: All work submitted must be original and cited properly.
• Grading Policy: Grades will be based on the quality of work and adherence to deadlines.

Instructor Information

• Instructor Name: Daniya Noor
• Instructor Profile Link: https://www.parho.co/instructor/daniya/

Additional Information

• Technical Requirements: Access to a computer with internet connection
• Support Resources: Students must purchase Support Hours

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