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Texas Instruments coding questions

Overview

Section titled “Overview”

Practice Texas Instruments coding questions in the style candidates report for online assessments and technical interviews. Focus: medium-hard DSA; graphs, DP, heaps, sliding window.

Texas Instruments Coding Pattern (Candidate-Reported)

Section titled “Texas Instruments Coding Pattern (Candidate-Reported)”
Item Typical expectation
Problems 1-3 coding tasks depending on drive
Skills medium-hard DSA; graphs, DP, heaps, sliding window
Languages Java, C++, Python (confirm invite)
Bar Correctness first, then complexity

Practice Problems

Section titled “Practice Problems”

Question 1: Number of islands

Section titled “Question 1: Number of islands”
Show approach

Approach: DFS/BFS flood fill on grid.

from collections import defaultdict
def solve(arr):
  # fill logic
  return arr

Complexity: State time/space before coding. Test empty input and single-element cases.

Question 2: Merge intervals

Section titled “Question 2: Merge intervals”
Show approach

Approach: Sort by start, merge overlaps.

from collections import defaultdict
def solve(arr):
  # fill logic
  return arr

Complexity: State time/space before coding. Test empty input and single-element cases.

Question 3: Top K frequent elements

Section titled “Question 3: Top K frequent elements”
Show approach

Approach: Count + heap of size k.

Map<Integer, Integer> map = new HashMap<>();
for (int i = 0; i < nums.length; i++) {
  // fill logic
}

Complexity: State time/space before coding. Test empty input and single-element cases.

Question 4: Course schedule (cycle detection)

Section titled “Question 4: Course schedule (cycle detection)”
Show approach

Approach: Topological sort / DFS colors.

from collections import defaultdict
def solve(arr):
  # fill logic
  return arr

Complexity: State time/space before coding. Test empty input and single-element cases.

Question 5: LRU cache

Section titled “Question 5: LRU cache”
Show approach

Approach: Hash map + doubly linked list.

Map<Integer, Integer> map = new HashMap<>();
for (int i = 0; i < nums.length; i++) {
  // fill logic
}

Complexity: State time/space before coding. Test empty input and single-element cases.

Question 6: Word break

Section titled “Question 6: Word break”
Show approach

Approach: DP boolean array on prefixes.

from collections import defaultdict
def solve(arr):
  # fill logic
  return arr

Complexity: State time/space before coding. Test empty input and single-element cases.

Question 7: Two Sum / pair with target

Section titled “Question 7: Two Sum / pair with target”
Show approach

Approach: Hash map of value→index. O(n).

Map<Integer, Integer> map = new HashMap<>();
for (int i = 0; i < nums.length; i++) {
  // fill logic
}

Complexity: State time/space before coding. Test empty input and single-element cases.

Pattern Drill Plan (2 Weeks)

Section titled “Pattern Drill Plan (2 Weeks)”
Day Drill
Mon Arrays + hashing (2 problems)
Tue Two pointers / sliding window
Wed Stacks / strings
Thu Trees or graphs basics
Fri Timed mock (2 problems / 90 min)
Sat Re-solve Friday misses cold
Sun Light CS theory + rest

Common Coding Mistakes

Section titled “Common Coding Mistakes”
  1. Coding before reading constraints
  2. Passing samples but failing hidden tests
  3. Silent complexity (cannot explain Big-O in interview)
  4. Switching languages mid-prep
  5. Never practicing on the real OA editor style
Section titled “Related Resources”

Similar Companies

Section titled “Similar Companies”

Qualcomm · Intel · Samsung · Bosch · Synopsys · Nvidia