CSCI 1102 Computer Science II

Name: Computer Science II
Rating: 3.39 (1387 reviews)

Acourseon the fundamentals of programming from a lower-level perspective. Students will learn the basics of C++, a strongly-typed, high-performance language that compiles down to programs that run without a virtual machine. Thecoursewill cover concepts such as the representation of data with bytes, base-2 and base-16 numbers, memory addresses, and memory allocation. Some advanced programming concepts will be discussed, including elementary algorithms, recursion, and the basics of object-oriented programming. In addition to gaining programming experience, students will also be introduced to some common tools and techniques, such as the text-only command interface, file system operations, and version control with Git.

Course overview

Department: Computer Science
School: MCAS
Credits: 3
Level: Undergraduate
Offered: Every Fall,Every Spring

Requirements fulfilled

Neuroscience B.S.: Computation (6 Credits) — Any one of the following courses (Current University Catalog; students should confirm their catalog year)
Mathematics B.S.: Natural science, computer science, or economics corequisites (Current University Catalog; students should confirm their catalog year)
Biology B.S.: Quantitative corequisite options (Current University Catalog; students should confirm their catalog year)
Computer Science B.A.: Required computer science core (Current University Catalog; students should confirm their catalog year)
Computer Science B.S.: Required computer science core (Current University Catalog; students should confirm their catalog year)
Computer Science: Required Courses (Current University Catalog; students should confirm their catalog year)

Requirement eligibility can vary by school, cohort, and section. Confirm the selected section in EagleApps or with an advisor.

Official evaluation summary

3.39 / 5

Based on 1,387 aggregate responses from BC Avalanche/Blue evaluations.

Data freshness

Course and evaluation data last updated 2026-08-02. Source details and limitations are documented in Data Sources and Methodology.

Instructors

Duncan Levear
Fall 2026, Fall 2025, Fall 2024, Spring 2024, Fall 2023, Spring 2023 · Official rating 3.82/5
Maira R Marques Samary
Fall 2026, Summer 2026
Amittai Aviram
Spring 2026, Fall 2025, Fall 2022, Spring 2022 · Official rating 2.78/5
Carl Mctague
Fall 2024 · Official rating 2.34/5
Cristina Maier
Fall 2024 · Official rating 4.69/5
Maira Marques Samary
Summer 2025, Spring 2025, Summer 2024, Spring 2024, Summer 2023, Spring 2023, Fall 2022, Summer 2022, Spring 2022 · Official rating 3.30/5
Naomi Bolotin
Spring 2025, Spring 2024, Fall 2023, Spring 2022, Fall 2021 · Official rating 2.89/5
Rafael Ubal Tena
Spring 2022, Fall 2021 · Official rating 4.64/5
Charles Wiseman
Spring 2026 · Official rating 4.68/5

Sections

Section 01
Summer 2026 · Maira R Marques Samary · On-line Asynchronous · Offered
Section 01
Fall 2026 · Maira R Marques Samary · 245 Beacon Street Room 229 TuTh 01:30PM-02:45PM · Offered
Section 02
Fall 2026 · Duncan Levear · 245 Beacon Street Room 214 MWF 09:00AM-09:50AM · Offered
Section 03
Fall 2026 · Duncan Levear · 245 Beacon Street Room 214 MWF 10:00AM-10:50AM · Offered
Section 10
Fall 2026 · Maira R Marques Samary · 245 Beacon Street Room 123 Tu 05:00PM-05:50PM · Offered
Section 11
Fall 2026 · Maira R Marques Samary · 245 Beacon Street Room 123 M 06:00PM-06:50PM · Offered
Section 12
Fall 2026 · Maira R Marques Samary · 245 Beacon Street Room 123 W 02:00PM-02:50PM · Offered
Section 13
Fall 2026 · Duncan Levear · 245 Beacon Street Room 123 Th 06:00PM-06:50PM · Offered
Section 14
Fall 2026 · Duncan Levear · 245 Beacon Street Room 123 Tu 06:00PM-06:50PM · Offered
Section 15
Fall 2026 · Duncan Levear · 245 Beacon Street Room 123 W 06:00PM-06:50PM · Offered
Section 16
Fall 2026 · Duncan Levear · 245 Beacon Street Room 123 W 05:00PM-05:50PM · Offered
Section 17
Fall 2026 · Duncan Levear · 245 Beacon Street Room 123 Th 05:00PM-05:50PM · Offered