CSCI1103

Data Structures

Name: Data Structures
Rating: 3.98 (41 reviews)

This course focuses on writing scalable and performant code. In particular, we will focus on data structures:different approaches to representing and manipulating information that balance efficiency trade-offs. Students will learn to write their own C++ implementations of linked lists, hash tables, binary search trees(self-balancing), directed graphs, and other fundamental data structures. Big O notation and analysis of algorithms will be emphasized throughout so thatstudents will be able to compare and evaluate different data structures for use in specific situations.

Course overview

Department: Computer Science
School: MCAS
Credits: 3

Requirements fulfilled

No source-backed degree requirement is attached to this course yet.

Official evaluation summary

3.98 / 5

Based on 41 aggregate responses from BC Avalanche/Blue evaluations.

Data freshness

Course and evaluation data last updated 2026-07-23. Source details and limitations are documented in Data Sources and Methodology.

Instructors

Alexander Creiner
Fall 2026
Charles Wiseman
Fall 2026
Naomi Bolotin
Fall 2025 · Official rating 3.63/5
Robert Muller
Fall 2022 · Official rating 4.27/5
Duncan Levear
Spring 2026 · Official rating 4.29/5

Sections

Section 01
Fall 2026 · Charles Wiseman · 245 Beacon Street Room 125 MWF 12:00 Noon-12:50PM · Offered
Section 02
Fall 2026 · Alexander Creiner · 245 Beacon Street Room 205 MW 04:30PM-05:45PM · Offered