Do I need interview experience?
Not at all. No previous LeetCode or technical interview experience is required.
SPRING 2027 / STUDENT WORKSHOP SERIES
Think like a
Mathematician.
Code like a
Problem-Solver.
A hands-on technical interview workshop connecting mathematical reasoning to algorithms, data structures, and the art of solving unfamiliar problems.
Work Smarter, Not Harder● ● ●
// Find the best time to buy and sell stock
prices = [7, 1, 5, 3, 6, 4]
max_profit = ?
BRUTE FORCEO(n²)
Check every pair.
HASH MAPO(n)
Remember what you've seen.
Same problem. Better idea. That's what we're here for.
NO LEETCODE EXPERIENCE REQUIRED ✳ PYTHON-FRIENDLY, LANGUAGE-FLEXIBLE ✳ BUILT FOR EVERYONE
01 / WHY THIS EXISTS
You've learned the theory.
Let's put it to work.
Mathematical thinking equips you with the toolset to recognize structure, reason rigourously and probe the validity of your ideas. Technical intervews, however, ask something different of you: they ask you to translate that thinking into efficient code, often under the clock.
This workshop is about bridging that gap. Not memorizing hundreds of solutions, but understanding the recurring ideas that make unfamiliar problems approachable.
Less memorization. More mathematical intuition.
02 / THE ROADMAP
Six sessions.
One stronger toolkit.
Each session connects an algorithmic pattern to a mathematical idea you may already know. Select a session to see what's inside.
PROPOSED SPRING 2027 CURRICULUM
Specific dates and location to be announced
Specific dates and location to be announced
01 Algorithmic thinking, arrays & hashingComplexity analysis · Two Sum WEEK 03 +
Big-O notation, time–space tradeoffs, arrays, sets, hash maps, and the difference between brute-force and optimized approaches.
THE MATH CONNECTION Complexity analysis
PRACTICE PROBLEM LeetCode #1 — Two Sum
02Two pointers, sliding windows & prefix sumsInvariants · Cumulative sumsWEEK 05+
Fixed and variable windows, two-pointer methods, prefix sums, and invariant-based reasoning for efficient sequential problems.
THE MATH CONNECTION Cumulative sums and invariants
03Binary search & discrete optimizationMonotonicity · BisectionWEEK 07+
Sorting, binary search on values and feasible answers, monotone predicates, and greedy reasoning.
THE MATH CONNECTION Bisection and constrained optimization
04Recursion, trees & graph traversalDFS · BFS · ConnectivityWEEK 10+
Recursive calls, tree traversals, adjacency structures, depth-first and breadth-first search, connected components, and cycle avoidance.
THE MATH CONNECTION Graph theory and computational grids
05Dynamic programming & optimizationRecurrences · Bellman's principleWEEK 12+
Optimal substructure, overlapping subproblems, memoization, tabulation, state design, and greedy versus dynamic programming.
THE MATH CONNECTION Recurrence relations and Bellman's principle
06Heaps, selection & geometryPriority queues · Top-k · DistanceWEEK 14+
Heaps, top-k selection, Quickselect, partial sorting, geometric distances, and runtime comparisons.
THE MATH CONNECTION Euclidean distance and spatial data
PRACTICE PROBLEM LeetCode #973 — K Closest Points to Origin
03 / THE FINALE
The final
algorithmic challenge.
Put everything together in a friendly team-based coding competition. You'll work with 2–4 students to solve an unseen problem, test your approach, and explain your reasoning.
2–4 people per team60 minutes to solve∞ ways to think
challenge.py ● ● ●
# Your team. An unseen problem.
def solve(problem):
idea = understand(problem)
plan = design(idea)
result = implement(plan)
return test(result)
# See how much you've improved.
04 / GOOD TO KNOW
Questions? We've got answers.
What language will we use?
Demonstrations are planned in Python, but you're welcome to work in your preferred language.
Who is it for?
Graduate and undergraduate students in applied mathematics and related fields, especially those exploring quantitative research, data science, scientific computing, or software roles.
Will there be homework?
Optional practice problems and a short implementation challenge after each session. No heavy extra workload.
How will sessions work?
Each proposed 90-minute meeting combines a conceptual lesson, collaborative problem solving, and discussion of solutions and complexity.
When and where?
The series is planned for Spring 2027. Exact dates, location, and participation details will be announced once confirmed.
05 / GET INVOLVED
Curious? Come solve something.
Interested in participating, have a question or an idea of what we should do? Send me a note.
Email Me ↗
Hosted by Department of Mathematics, Applied Mathematics, and Statistics · Case Western Reserve University . Shiv Mauree
Workshop details are all tentative and subject to confirmation.
Workshop details are all tentative and subject to confirmation.