AP Computer Science A explained with engaging techniques

4.6(70)

Free trial lesson

AP Computer Science A tutor - Anand Dwivedi

Bachelors degree

$38

$32

/ hour

Rated 4.6 out of 5 stars.

★★★★★

Popular

Highly skilled & top-rated

70 ratings

Ratings

Quick help for last-minute doubts

85% of students received instant support before exams.

Strong focus on exam readiness

95% of parents report their child is more exam-ready.

Flexible scheduling for exam prep

90% of students find scheduling sessions stress-free.

About your tutor

I hold a Master's in Computer Applications (MCA) from Rani Durgavati University and am currently pursuing a Ph.D. I am serving as an Assistant Professor, leveraging both my academic insights and industry experience. My proficiency extends to programming languages such as C++, Java, and Python, along with expertise in Android Studio for app development. Additionally, I am actively working with AI and ML technologies and have a strong background in web technologies. My comprehensive skill set allows me to contribute effectively to both academic and professional environments, bridging the gap between theory and practical application.

AP tutor specialities

Next Generation Science Standards - NGSS (USA)

Advanced Placement (AP) Program (USA)

Test prep

Study Plans

State-Specific Standards (USA)

New Zealand Curriculum - NZC (NZ)

Homework help

Common Core State Standards - CCSS (USA)

Mock Tests

GCSE (UK)

Concepts learning

Grade improvement

Teaching methodology

My teaching methodology for computer science tutoring, focusing on modern programming languages and JavaScript frameworks, combines personalized learning with practical application. I begin with an initial assessment to tailor a learning plan based on each student's needs, learning style, and goals. The curriculum covers fundamental programming concepts, advanced techniques, and an in-depth exploration of JavaScript frameworks like React, Angular, and Vue.js. Emphasizing hands-on coding, real-world projects, and regular code reviews ensures students can apply their knowledge effectively. Continuous feedback through assessments and feedback sessions helps track progress, while resource utilization, including textbooks, online resources, and development tools, enriches the learning experience. Encouraging collaborative learning through discussion forums and study groups, along with targeted exam preparation and assignment assistance, ensures comprehensive support. My approach fosters independent learning, preparing students to excel academically and professionally in computer science.