Algorithms Tutor

Algorithms tutoring for university courses and interviews. Sorting, searching, complexity analysis, and problem solving.

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Algorithms tutoring covers the design and analysis of efficient solutions to computational problems. From sorting and searching to dynamic programming and graph algorithms, we build intuition through practice.

Topics we cover

Common areas where students need help.

Big-O notation and complexity analysis

Sorting algorithms (merge, quick, heap)

Searching and binary search

Recursion and backtracking

Dynamic programming

Greedy algorithms

Graph algorithms (BFS, DFS, Dijkstra)

Divide and conquer

Who this is for

University Students

Example learning plan

A typical 4-6 week progression for this subject.

Week 1-2

Foundations

Big-O, sorting, searching, recursion

Week 3-4

Core Techniques

Divide and conquer, greedy, backtracking

Week 5-6

Advanced Topics

Dynamic programming, graph algorithms

Week 7+

Practice

Problem solving, assignments, exam prep

Projects you can build

Real projects to practice and showcase your skills.

Sorting algorithm visualizer

Pathfinding algorithm comparison

Dynamic programming problem set

Graph algorithm implementations

Complexity analysis exercises

Interview problem practice

Pricing

Single Session

$80/ hour

Try it out or get quick help.

60-minute session
Session notes
Any topic

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5-Session Pack

$350/ pack

Best value for learning this subject.

Save $50
3-month validity
Priority booking

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FAQ

Why are algorithms so hard?

Algorithms require abstract thinking and pattern recognition that takes practice. We build intuition through worked examples before moving to harder problems.

Which language should I use?

Whatever your course uses. Python is common for readability, Java and C++ for performance. Concepts transfer across languages.

Can you help with LeetCode-style problems?

Yes, we can practice interview-style problems. The key is understanding patterns, not memorizing solutions.

Is dynamic programming really that important?

It comes up in most CS courses and many interviews. We'll start with simple examples and build up to complex problems.

Ready to learn Algorithms?

Start with a free consultation and we’ll build a plan for your learning goals.

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