SNU Computer Science Core Curriculum Guide

SNU Computer Science Core Curriculum Guide | Generated by AI

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Question: What are the typical courses for a computer science major at Seoul National University?

Answer:

At Seoul National University (SNU), the Department of Computer Science and Engineering (CSE) (컴퓨터공학부) offers the undergraduate computer science major within the College of Engineering.

The curriculum includes:

General education requirements (mathematics, physics, writing, liberal arts, etc.)
Major required/foundation courses
Major electives (with some internally required/recommended ones)

Students typically follow a structured path emphasizing fundamentals in the early years and advanced/specialized topics later. The program is flexible, with streams such as Algorithms and Information Security, Artificial Intelligence, Computer Architecture and Embedded Systems, Data Systems, and Graphics.

Typical / Key Courses

(Names based on recent department listings; course codes and exact titles may vary slightly by year.)

Freshman / Early Years (Foundation Courses):

Discrete Mathematics (이산수학) — Required
Computer Programming (컴퓨터프로그래밍) — Required
Programming Practice / Exercises (프로그래밍연습)
Digital Computer Concept and Practice (or similar introductory computing course) — Often part of general education for engineering students
Logic Design (논리설계)
Introduction to Computing / Exploring Computing (컴퓨팅 살펴보기 or 컴퓨터과학이 여는 세계)

Sophomore / Intermediate Years:

Data Structures (자료구조) — Core
Computer Architecture (컴퓨터구조)
Algorithms (알고리즘)
Operating Systems (운영체제)
Programming Principles / Principles of Programming (프로그래밍의 원리)
System Programming (시스템프로그래밍)
Automata Theory (오토마타이론 / Automata and Formal Languages)

Junior / Senior Years (Advanced & Elective-Heavy):

Artificial Intelligence (인공지능)
Database Systems (데이터베이스)
Computer Networks (컴퓨터네트워크 / Data Communications)
Software Engineering (소프트웨어공학)
Compilers (컴파일러)
Computer Graphics (컴퓨터그래픽스)
Embedded Systems and Applications (임베디드시스템과 응용)
Machine Learning / Deep Learning Basics (기계학습 or 딥러닝의 기초)
Creative Integrated Design (창의적통합설계 I & II) — Capstone/project-based courses

Many students take electives in high-demand areas like:

Computer Vision (컴퓨터비전)
Natural Language Processing (자연어처리)
Reinforcement Learning (강화학습)
Computer Security / Modern Cryptography (컴퓨터보안 / 현대암호학)
Quantum Computing Basics (양자 컴퓨팅 및 정보의 기초)
Mobile Computing, Human-Computer Interaction, etc.

The department emphasizes creativity, team projects, and emerging technologies (AI, big data, security, etc.). Some courses are offered in English, especially for international/exchange students, though many core classes use Korean.

For the most up-to-date and complete list, check the official department website (cse.snu.ac.kr) under academics/undergraduate/courses or curriculum sections, or the university course catalog.

References:

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