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Peter
- Rate UGX 189,547
- Response 1h
UGX 189,547/hr
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- Maths
- Algebra
- Statistics
- Computing
PhD on applied mathematics, I can teach discrete math, graph theory, algebra, machine learning and so on
- Maths
- Algebra
- Statistics
- Computing
Lesson location
About Peter
I am an associate professor in the Computer Science Department, holding a Ph.D. in Applied Mathematics with 15 years of teaching experience. I have previously taught courses in Discrete Mathematics, Machine Learning, Graph Theory, Algorithm Design, and more. I have published over 10 research papers, obtained 3 patents, led 10 research projects, and supervised dozens of graduate students in completing their thesis dissertations.
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About the lesson
- Primary
- Secondary
- Tertiary
- +6
levels :
Primary
Secondary
Tertiary
University
Adult Education
Masters
PhD (Doctor of Philosophy)
MBA
Early childhood education
- English
All languages in which the lesson is available :
English
Teaching Approach and Techniques:
As a tutor specializing in discrete mathematics, graph theory, and machine learning, I believe in fostering a deep understanding of the foundational concepts while simultaneously encouraging critical thinking and problem-solving skills. My teaching approach is highly interactive, incorporating a variety of techniques to engage students and cater to different learning styles. Some of the techniques I employ include:
Conceptual Discussions: I begin each lesson by discussing key concepts and their real-world applications. This helps students grasp the relevance and significance of the material they are learning.
Visual Aids: I use visual aids such as diagrams, graphs, and illustrations to elucidate complex ideas and make abstract concepts more tangible.
Problem-Solving Exercises: I incorporate plenty of problem-solving exercises into my lessons, ranging from basic to advanced levels, to reinforce understanding and encourage independent thinking.
Socratic Questioning: I employ Socratic questioning techniques to stimulate critical thinking and encourage students to explore concepts from different angles.
Typical Lesson Plan:
Introduction (5 minutes): Review the topic of the lesson learned previously.
Conceptual Overview (10 minutes): Discuss key concepts, definitions, and theoretical frameworks, using visual aids to illustrate abstract ideas.
Problem-Solving Session (20 minutes): Work through a series of problem-solving exercises, guiding students through the process and encouraging active participation.
Recap and Summary (5 minutes): Summarize the main points covered in the lesson and address any lingering questions or concerns.
Assignment (5 minutes): Assign homework or additional reading to consolidate learning and prepare for the next lesson.
What Sets Me Apart:
As a tutor, what sets me apart is my deep subject matter expertise, passion for teaching, and commitment to fostering a supportive learning environment. I strive to create personalized learning experiences tailored to each student's individual needs and learning style. Additionally, my background in both academia and experience allows me to offer insights that bridge the gap between theory and real-world implementation.
Target Audience:
My lessons are designed for undergraduate and graduate students pursuing degrees in mathematics, computer science, engineering, or related fields. They are suitable for individuals seeking a comprehensive understanding of discrete mathematics, graph theory, and machine learning, whether they are beginners or have some prior knowledge in the subject area. Additionally, my tutoring services are available to professionals looking to enhance their skills or explore new areas of expertise in these domains.
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Rates
Rate
- UGX 189,547
Pack prices
- 5h: UGX 945
- 10h: UGX 1890
online
- UGX 189,547/hr
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