OVERVIEW

💡 What is MATLAB?

📌 MATLAB (MATrix LABoratory) is a powerful matrix-based programming platform used in engineering and scientific fields to solve complex problems.

📌 It provides advanced mathematical computing capabilities, data analysis, modeling, and simulation with a comprehensive function library. Thanks to its user-friendly interface, MATLAB is an accessible tool that can be easily learned and applied by users ranging from beginners to advanced professionals.

🧩 MATLAB Applications

📌 MATLAB offers innovative solutions across various disciplines due to its wide range of applications. The main application areas are as follows:
🔸 Communication System Modeling: Modeling and simulation of wired and wireless communication systems
🔸 Signal and Image Processing: Analysis and processing of audio, image, and video signals
🔸 Control Systems: Modeling and simulation of control mechanisms in industrial processes, automation, and robotic systems
🔸 Artificial Intelligence and Machine Learning: Development of learning algorithms for big data analysis and prediction models using supervised and unsupervised learning techniques
🔸 Finance and Economics: Risk analysis, portfolio optimization, and financial data visualization
🔸 Data Analysis and Visualization: Analysis of complex data and graphical representation
🔸 Physical System Modeling: Modeling and simulation of mechanical, electrical, and thermal systems

💼 MATLAB and Career

📌 MATLAB holds a significant place both in academia and professional industries.
🔸 Academic Applications: MATLAB is widely used in research projects and thesis studies in various scientific fields such as engineering, physics, biology, and chemistry. In higher education, students can transform their theoretical knowledge into practical applications using MATLAB.
🔸 Industrial Applications: MATLAB is widely used in various sectors such as automotive, defense, telecommunications, aerospace, healthcare, and finance for data analysis, product development, and optimization processes. For example:
● Automotive: Development of autonomous vehicle algorithms
● Defense Industry: Design of radar systems and development of target detection algorithms
● Telecommunications: Simulation of 5G signal processing techniques

🚀 MATLAB in Your Career: Learning MATLAB provides a significant advantage for professionals working in engineering and scientific fields. This skill sets you apart in job applications and demonstrates your ability to solve complex problems.

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COURSE DESCRIPTION

📌 The Mastering MATLAB course is a comprehensive program designed to help you learn MATLAB in depth, from fundamental concepts to advanced techniques.

📌 This course not only enhances your programming skills but also aims to equip you with critical competencies such as algorithm design, data visualization, solving engineering problems, and effective application of MATLAB in real-world scenarios.

📌 By the end of the course, you will be able to use MATLAB as an effective tool in your field of work and will have developed advanced proficiency in algorithm development.

🧑🏼‍🎓 Who Should Take This Course?

📌 The Mastering MATLAB course is designed for anyone who wants to get started with MATLAB or develop advanced skills from scratch. This course is particularly suitable for the following groups:
🔸 Engineering and Science Students: Those who aim to use MATLAB effectively in coursework, thesis projects, or research studies
🔸 Researchers and Academics: Individuals working in engineering, biology, physics, chemistry, or related fields who need MATLAB for data analysis, modeling, and simulation
🔸 Industry Professionals: Those who want to use MATLAB as a powerful tool for product development, optimization, artificial intelligence, or data analysis
🔸 For Those Looking to Advance Their Careers: Individuals who want to stand out in job applications and make a difference in their professional careers with MATLAB skills

📌 This course is open to anyone who aims to develop advanced MATLAB skills and create innovative solutions to complex problems.

⏰ Course Duration and Structure

📌 The course has a total duration of 24 hours, consisting of 8 lessons, each lasting 3 hours. Each lesson is divided into three sections: 1 hour, 45 minutes, and 45 minutes, with a 15-minute break between each section.

📌 The date and time of the next session will be announced here and on our social media accounts once it is scheduled.

📌 The course is designed to maximize participants’ learning experience by integrating theoretical knowledge with practical applications. It consists of the following sections:
🔸 Concept Lectures (5 Lessons – 12 Hours): Concept lectures cover the details of MATLAB programming along with algorithm development techniques. At the end of each lecture, a problem-solving session will be conducted, and participants will be given an assignment to reinforce their learning.
🔸 Practical Sessions (2 Lessons – 5 Hours): In the practical sessions, participants will brainstorm solutions to real-world problems, followed by a detailed explanation of the solutions.
🔸 Final Project (1 Lesson – 3 Hours): In the last session, participants will be assigned a final project, which they will be expected to complete within a given timeframe. The solution to the project will be explained in detail during the remaining time.

🔥 GitHub: The practical exercises and final project offer a great opportunity for participants to enrich their GitHub portfolios. After the course, an additional 2-hour session will be scheduled for those who wish to upload their projects to their GitHub accounts.

🎯 What Will You Gain from This Course?

📌 Advanced MATLAB Programming: You will gain proficiency in algorithm development, debugging, and writing optimized code
📌 Data Analysis and Visualization: You will develop the ability to analyze complex datasets, create meaningful insights, and use 2D/3D visualization tools effectively
📌 Working on Real-World Projects: Throughout the course and in the final project, you will have the opportunity to work on real-world problems
📌 Enhancing Your GitHub Portfolio: The practical exercises and final project will help you build a high-quality portfolio to showcase on your GitHub account
📌 Effectively Using MATLAB in Your Career: By the end of the course, you will be able to utilize MATLAB as a powerful tool in both academic research and professional applications

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COURSE CONTENT

Lecture-1: MATLAB and Programming Basics

📚 Introduction to MATLAB environment and interface
📚 Understanding variable definition and data types
📚 Working with arithmetic operators
📚 Vector operations and manipulations
1️⃣ Problem-1: Hands-on application of basic concepts and vector manipulation
1️⃣ Assignment-1: Space Discovery

Lecture-2: Matrix Operations

📚 Understanding matrix creation and manipulation
📚 Matrix arithmetic and operations
2️⃣ Problem-2: Matrix-based problem solving
2️⃣ Assignment-2: Car Love

Lecture-3: Application-1 | Academic Crises

📚 In this lesson, the fundamental MATLAB skills learned in the first two lessons will be applied to an academic data analysis scenario.

📚 Participants will organize data such as student grades, attendance records, and overall success rates to conduct statistical analyses and derive meaningful insights.

Lecture-4: Control Structures and Loops

📚 Implementing condition structures (if-else, switch-case)
📚 Understanding and utilizing loops (for, while)
3️⃣ Problem-3: Application of control structures and loops
3️⃣ Assignment-3: Very Smart Home

Lecture-5: Functions

📚 Using built-in functions in MATLAB
📚 Creating custom functions to modularize code
📚 Working with symbolic functions for advanced calculations
4️⃣ 5️⃣ Problem-4 & 5: Develop function-based algorithms
4️⃣ Assignment-4: Personal Finance

Lecture-6: Application-2 | Energy Saving

📚 In this lesson, the MATLAB skills learned in previous sessions will be applied to an energy management scenario.

📚 Participants will analyze daily energy consumption data, calculate energy costs, and develop energy-saving strategies.

Lecture-7: Data Visualization

📚 Creating and customizing 2D plots and graphs
📚 Advanced 3D visualization techniques
📚 Data representation and interpretation
4️⃣ Assignment-5: Health Comes First

Lecture-8: Final Project | Air Defense Systems

📚 In this lesson, participants will develop a comprehensive application for an air defense system using the MATLAB skills they have acquired throughout the course.

📚 The project is inspired by real-world scenarios and will require the integration of data analysis, control structures, loops, functions, and visualization techniques.

Bonus Lesson: Building a GitHub Portfolio

📚 In this lesson, participants will learn how to showcase their projects and solutions on GitHub.

📚 The lesson aims to help participants effectively use GitHub to create a professional portfolio.

📚 Topics covered:
🔸 Creating a GitHub repository, uploading files, and making updates
🔸 Writing a README file and presenting projects professionally

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FAQs

1. Is the course paid?
Yes, the course is priced at 2800 TRY per person (116 TRY per hour). A 10% discount will be applied to those who bring a friend. To activate this discount, the referred person must enter the full name of their referrer in the “Reference” section of the application form. The course fee includes VAT.

2. Do I need any prior knowledge to join the course?
No, the course starts from scratch and teaches fundamental programming and MATLAB concepts. No prior knowledge is required to participate.

3. What equipment do I need for the course?
A computer and access to MATLAB software are sufficient. You can visit MathWorks’ website for MATLAB installation.

4. What level will I reach by the end of the course?
By the end of the course, you will have fully learned MATLAB fundamentals and will be able to use MATLAB as a tool in your field of work. You will also develop advanced skills in algorithm development. You can confidently list MATLAB proficiency in your resume.

5. Will course materials be shared?
Yes, course materials for each session will be shared with participants before the session. At the end of each concept lecture, an assignment document will be provided. The solutions to the assignments will be shared before the next session along with lecture materials.

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‼️ COURSE RIGHTS AND TERMS OF USE ‼️

📌 All materials used during the course (lecture notes, assignment documents, MATLAB codes, etc.) are for personal use only by course participants.

📌 Copying, reproducing, sharing, or using materials for commercial purposes is strictly prohibited.

📌 Recording videos or audio of the sessions is strictly prohibited. Any form of recording during or after the course cannot be conducted without written consent from the course provider.

📌 The content and materials of this course are protected under applicable intellectual property laws. All rights reserved.