Ramkumar S Assistant Professor
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Teaching Style
I aim for an engaging, interactive style of teaching. Rather than lecturing, I like to involve students by asking questions, encouraging discussion, and connecting the material to real-life examples. My teaching is student-centered, meaning I adapt my methods to each student’s learning style—whether they prefer visual aids, hands-on activities, or conceptual explanations. This personalization keeps students more involved and invested in their learning.

Methodology
Assessment of Learning Style: I begin by understanding the student's preferred way of learning (visual, auditory, kinesthetic, or a mix).

Clear Objectives: For every session, I define clear learning objectives that align with the student’s curriculum or personal goals. This helps track progress and keeps the learning focused.

Active Learning: I incorporate exercises, coding challenges, and thought-provoking questions that make the student apply the concepts, not just memorize them. In subjects like computer science, I encourage practical programming from day one.

Scaffolded Learning: I break down complex concepts into simpler, digestible parts and build on them. Each topic is connected to the previous one so students can see how ideas interrelate.

Feedback Loop: I provide consistent, constructive feedback to help students understand where they excel and where they need improvement. I also ask for feedback to adapt my approach as needed.

Use of Technology and Resources: For subjects like computer science, I incorporate interactive tools like coding environments, simulations, and visual aids to make abstract ideas concrete.

Encouraging Curiosity: I always encourage students to ask questions and explore topics outside of the syllabus to develop a love for learning beyond exams.

Results
Improved Grades: Many of my students show a significant improvement in their grades as they grasp concepts more effectively.
Enhanced Problem-Solving Skills: By focusing on understanding and application, students become better at tackling complex problems, which helps them beyond just exams.
Increased Confidence: As they gain mastery over the subject, students become more confident in their abilities.
Developing Critical Thinking: Students often start applying their learnings to real-world problems, enhancing their critical thinking and analytical skills.
What Makes Me a Great Teacher
Adaptability: I tailor my teaching methods to the individual needs and learning pace of each student. This ensures they stay motivated and engaged.

Patience and Empathy: I maintain a patient, supportive atmosphere that allows students to ask questions freely and learn at their own pace. I understand that every student has unique challenges.

Passion for the Subject: My enthusiasm for subjects like computer science is contagious. I go beyond just the syllabus to spark curiosity and encourage creative thinking.

Continuous Learning: I’m constantly updating myself with the latest educational tools, trends, and methods to provide a modern, effective learning experience.

Strong Communication: I make complex ideas simple, helping students feel comfortable even with challenging topics.

Subjects

  • ROS Programming (Robotics) Beginner-Intermediate

  • Raspberry Pi & IoT Beginner-Expert

  • Arduino & Robotics Beginner-Expert

  • Python and OpenCV Beginner-Expert

  • Python for Data science, Machine Learning and Artificial Intelligence Beginner-Expert


Experience

  • Assistant Professor (Jun, 2017Present) at Rajalakshmi Engineering College Chennai
  • Assistant Professor (Jun, 2016May, 2017) at Chennai Institute Of Technology, Chennai
  • Assistant Professor (May, 2015May, 2016) at PSN INSTITUTE OF TECHNOLOGY AND SCIENCE

Education

  • M.E - Mechatronics (Jun, 2013Apr, 2015) from Mit chennai
  • B.E - ECE (Jun, 2009Apr, 2013) from Scad College of Engineering and Technology, Tirunelveli

Fee details

    500700/hour (US$5.908.25/hour)

    depends on technical content


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