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์•ัซฃผ๋Œถฤว๊™๊ต ์†Œํ”„ํŠธ์›จนฎด์œตว๊ฉ๋Œ€ว๊™

๋Œถฤว๊™์›

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CSEC501 ๊ณ ๊ธ‰์ •๋ณด๋ณดํ˜ธ (Advanced Information Security)

  • ๋ณธ ๊ณผ๋ชฉ์€ ์ •๋ณด ๋ณดํ˜ธ์— ๋Œ€ํ•œ ๊ณ ๊ธ‰ ์ด๋ก ์„ ์ดํ•ดํ•˜๋Š” ๊ฒƒ์„ ๋ชฉํ‘œ๋กœ ํ•œ๋‹ค. ๋จผ์ € ์ •๋ณด๋ณดํ˜ธ์˜ ์˜๋ฏธ, ์ค‘์š”์„ฑ, ๊ทธ๋ฆฌ๊ณ  ๋ชฉํ‘œ๋ฅผ ์ดํ•ดํ•˜๊ณ , ์ดํ›„ ์ •๋ณด๋ณดํ˜ธ์— ๊ด€๋ จ๋œ ์•”ํ˜ธํ•™, ๋ณด์•ˆ ๋ชจ๋ธ ๋ฐ ์ •์ฑ…, ์šด์˜์ฒด์ œ ๋ณด์•ˆ, ํ”„๋กœ๊ทธ๋žจ ๋ณด์•ˆ, ์•…์„ฑ ์ฝ”๋“œ, ๋ณด์•ˆ ํ‰๊ฐ€์™€ ๊ด€๋ฆฌ ๋“ฑ์˜ ๊ณ ๊ธ‰ ์ด๋ก ๋“ค์„ ์—ฐ๊ตฌํ•œ๋‹ค. The aim of this course is to provide students with a thorough understanding of the security issues associated with the design, provision and management of security services for modern information systems, applications, and services. This course addresses recent security issues based on the fundamental security concepts and applications with hands-on experiment. Thus, this course will provide a comprehensive introduction and study into a broad selection of contemporary information security issues, concepts and policies, including the survey of state-of-the art technology used to address security problems. Topics of study include four main topics such as Linux System Security based on Linux Security Module, Volatile Memory Dump Cracking and Analysis, Digital Forensics with EnCase/Tools, and Internet Traffic Analysis for Malicious Activity Detection.
CSEC611 ๊ธฐ๊ณ„ํ•™์Šต๊ณผ ๋ณด์•ˆ๋ฐ์ดํ„ฐ ๋ถ„์„(Machine Learning and Security Data Analytics)

  • ๋ณธ ๊ณผ๋ชฉ์˜ ๋ชฉํ‘œ๋Š” ์‚ฌ์ด๋ฒ„ ๋ณด์•ˆ ์œ„ํ˜‘์„ ํšจ๊ณผ์ ์œผ๋กœ ํƒ์ง€ํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ๊ธฐ๊ณ„ํ•™์Šต ๋ฐ ๋”ฅ๋Ÿฌ๋‹ ๊ธฐ์ˆ ์„ ์ ์šฉํ•˜์—ฌ ์ƒˆ๋กœ์šด ๊ณต๊ฒฉ ๋ฒกํ„ฐ์— ๋Œ€ํ•œ ํƒ์ง€์œจ๊ณผ ์ •ํ™•์„ฑ์„ ๋†’์—ฌ ์ง€๋Šฅํ™”๋œ ์‹ค์‹œ๊ฐ„ ์‚ฌ์ด๋ฒ„ ๋ณด์•ˆ ์œ„ํ˜‘ ํƒ์ง€ ๋ถ„์„ ๋ฐฉ๋ฒ•์„ ์—ฐ๊ตฌํ•˜๋Š”๋ฐ ์žˆ๋‹ค. The objective of this course is to study intelligent real-time cyber threat detection analysis method by applying machine learning and deep learning technology to effectively detect cyber security threats by increasing the detection rate and accuracy of new attack vectors.
CSEC621 ์ •๋ณด๋ณดํ˜ธ์‘์šฉํŠน๊ฐ•(Special Topics in Information Security Applications)

  • ํŠน๊ฐ• ํ˜•์‹์œผ๋กœ ์šด์˜๋˜๋ฉฐ, ๊ฐ•์˜ ๋‚ด์šฉ์€ ์ •๋ณด ๋ณดํ˜ธ ๋ถ„์•ผ์˜ ์ตœ์‹  ์ฃผ์ œ์™€ ์‘์šฉ ์‚ฌ๋ก€๋ฅผ ๋‹ค๋ฃฌ๋‹ค.
CSEC622 ์•”ํ˜ธ๊ธฐ์ˆ ์‘์šฉํŠน๊ฐ•(Special Topics on Cryptographic Application)

  • ๋ณธ ๊ณผ๋ชฉ์—์„œ๋Š” ํ˜„์žฌ ์•”ํ˜ธ ํ‘œ์ค€์ธ DES, AES, RSA,ECC, A5/1, SHA-512, Whirlpool ๋“ฑ์— ๋Œ€ํ•œ ์ˆ˜ํ•™์  ์ด๋ก ๊ณผ ์•”ํ˜ธํ•™์  ์•ˆ์ „์„ฑ ๋ถ„์„ ๋ฐฉ๋ฒ•์„ ํ•™์Šตํ•œ๋‹ค. ์–‘์ž์ปดํ“จํŒ… ํ™˜๊ฒฝ์—์„œ ๊ธฐ์กด์˜ ์•”ํ˜ธ๊ธฐ์ˆ ์ด ์™œ ๋ฌด๋ ฅํ™”๋˜๋Š”์ง€ ์•Œ์•„๋ณด๊ณ , PQC์˜ ๋Œ€ํ‘œ์ฃผ์ž์ธ ๊ฒฉ์ž๊ธฐ๋ฐ˜์•”ํ˜ธ์™€ ๋ถ€ํ˜ธ๊ธฐ๋ฐ˜์•”ํ˜ธ๋ฅผ ์ค‘์‹ฌ์œผ๋กœ ์‘์šฉ ๋ถ„์•ผ์˜ ํŠน์„ฑ์— ๋”ฐ๋ฅธ ๊ฐœ๋ฐœ์š”๊ตฌ์‚ฌํ•ญ๊ณผ ํ™œ์šฉ๋ฐฉ์•ˆ์„ ์—ฐ๊ตฌํ•œ๋‹ค..
CSEC623 ์œตํ•ฉ๋ณด์•ˆํŠน๊ฐ• (Special Topics in Convergence Security

  • ๋ณธ ๊ณผ๋ชฉ์˜ ๋ชฉํ‘œ๋Š” ํ—ฌ์Šค์ผ€์–ด ๋ถ„์•ผ, ๊ณต๊ธ‰๋ง ๋ถ„์•ผ, ์ธ๊ณต์ง€๋Šฅ ๋ถ„์•ผ, ์‚ฌ์ด๋ฒ„๋ฒ”์ฃ„์ˆ˜์‚ฌ ๋ถ„์•ผ ๋“ฑ ๊ธฐ์กด ์‚ฐ์—…๋ถ„์•ผ์˜ ํŠน์„ฑ์„ ๊ณ ๋ คํ•œ ์œตํ•ฉ๋ณด์•ˆ๊ธฐ์ˆ ์— ๋Œ€ํ•ด ์—ฐ๊ตฌํ•œ๋‹ค. The goal of this course is to discover a new progressive security technologies by enhancing the previous security technologies and to solve the technical problems that may have occurred in the process of converging technology in various fields of industry such as healthcare, supply-chain, AI, and Cyber Criminals.
CSEC711 ์ปดํ“จํ„ฐ๋„คํŠธ์›Œํฌ๋ณด์•ˆ (Computer Network Security)

  • CIA(Confidentiality, Integrity, Availability) ๋ณด์•ˆ ์„œ๋น„์Šค ๊ฐœ๋…์— ์ž…๊ฐํ•˜์—ฌ, ๋‹ค์–‘ํ•œ ๋Œ€์นญํ‚ค ๋ฐ ๋น„๋Œ€์นญํ‚ค ์•”ํ˜ธํ™” ์•Œ๊ณ ๋ฆฌ์ฆ˜๊ณผ ์ตœ๊ทผ ๋“ฑ์žฅํ•œ SHA-3๋ฅผ ๋น„๋กฏํ•ด ๋ฐ์ดํ„ฐ ๋ฌด๊ฒฐ์„ฑ ์ œ๊ณต์„ ์œ„ํ•œ ํ•ด์‰ฌ ์•Œ๊ณ ๋ฆฌ์ฆ˜, MAC(Message Authentication Code) ๊ธฐ๋ฒ•์„ ๋‹ค๋ฃฌ๋‹ค. ๋˜ํ•œ TCP/IP ๊ธฐ๋ฐ˜ ๋ณด์•ˆ ํ”„๋กœํ† ์ฝœ์ธ TLS, IPSec์— ๋Œ€ํ•ด ์‚ดํŽด๋ณด๊ณ , IEEE802.11/WLAN/ Bluetooth ๋“ฑ ๋ฌด์„  ํ™˜๊ฒฝ์—์„œ ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ๋Š” ๋ณด์•ˆ ์œ„ ํ˜‘์— ๋Œ€ํ•ด ์—ฐ๊ตฌํ•œ๋‹ค. ์ตœ๊ทผ ๋ณด์•ˆ ์ด์Šˆ๋กœ ๋“ฑ์žฅํ•˜๊ณ  ์žˆ๋Š” DDoS ๊ณต๊ฒฉ์— ์‚ฌ์šฉ๋˜๋Š” ์ตœ์‹  botnet ๊ธฐ์ˆ ๋“ค๊ณผ ๋ชจ๋ฐ”์ผ ํ™˜๊ฒฝ์—์„œ์˜ ๋ณด์•ˆ ์œ„ํ˜‘, ๋ณด์•ˆ ๊ธฐ์ˆ ์„ ์šฐํšŒํ•˜๋Š” ๋‚œ๋…ํ™” ๊ธฐ๋ฒ•, APT(Advanced Persistent Threat), SQL Injection ๋ฐ XSS ๊ณต๊ฒฉ ๊ธฐ๋ฒ•๋“ค์— ๋Œ€ํ•ด ๋ถ„์„ํ•˜๊ณ  ๋Œ€์‘ ๋ฐฉ์•ˆ์„ ์—ฐ๊ตฌํ•œ๋‹ค.
CSEC712 ์ปดํ“จํ„ฐ์‹œ์Šคํ…œ๋ณด์•ˆ (Computer System Security)

  • ์ตœ๊ทผ ์œˆ๋„์šฐ, ๋ฆฌ๋ˆ…์Šค ์šด์˜์ฒด์ œ์—์„œ ์‚ฌ์šฉ๋˜๊ณ  ์žˆ๋Š” ๋ณด์•ˆ ๊ธฐ์ˆ ๋“ค์„ ์—ฐ๊ตฌํ•˜๊ณ , ์šด์˜์ฒด์ œ๋ฅผ ๋น„๋กฏํ•œ ๋‹ค์–‘ํ•œ ํ”„๋กœ๊ทธ๋žจ๋“ค์˜ ์ตœ์‹  ์ทจ์•ฝ์ ์— ๋Œ€ํ•ด ๋ถ„์„ํ•œ๋‹ค. Buffer Overflow ๊ณต๊ฒฉ ๊ธฐ๋ฒ•์„ ๋น„๋กฏํ•œ ๋‹ค์–‘ํ•œ ์‹œ์Šคํ…œ ์นจํˆฌ ๋ฐฉ๋ฒ•๋“ค์— ๋Œ€ํ•ด ๊ณต๋ถ€ํ•˜๊ณ , ์ด์— ๋Œ€์ฒ˜ํ•˜๊ธฐ ์œ„ํ•œ ๋ณด์•ˆ ๋ฐฉ๋ฒ•๋“ค(sandbox, ๊ฐ€์ƒํ™”, ์ ‘๊ทผ์ œ์–ด, IDS/IPS)์„ ์—ฐ๊ตฌํ•œ๋‹ค. ๋˜ํ•œ ์‹œ์Šคํ…œ ์นจํ•ด ์‚ฌ๊ณ  ๋ฐœ์ƒ ํ›„ ๋Œ€์ฒ˜ํ•˜๊ธฐ ์œ„ํ•œ Digital Forensics ์ ˆ์ฐจ์™€ ์ด์— ์‚ฌ์šฉ๋˜๋Š” ๋‹ค์–‘ํ•œ ๋ฐ์ดํ„ฐ ์ˆ˜์ง‘ ๋ฐ ๋ถ„์„ ๊ธฐ๋ฒ•, ๋ฐ์ดํ„ฐ ๋ณต๊ตฌ ๊ธฐ์ˆ ๊ณผ ์ตœ๊ทผ ๋“ฑ์žฅํ•˜๊ณ  ์žˆ๋Š” Anti-Forensics ๊ธฐ๋ฒ•๊ณผ ์ด์Šˆ๋“ค์— ๋Œ€ํ•ด์„œ ์—ฐ๊ตฌํ•œ๋‹ค.
CSEC811 IT์ œํ’ˆ ๋ณด์•ˆํ‰๊ฐ€๋ก  (IT Security Evaluation Theory)

  • ๋ณธ ๊ณผ๋ชฉ์—์„œ๋Š” ์ •๋ณด๋ณดํ˜ธ์ œํ’ˆ์˜ ๋ณด์•ˆ์„ฑ์„ ํ‰๊ฐ€ํ•˜๊ธฐ ์œ„ํ•ด ISO ๊ตญ์ œํ‘œ์ค€์ธ CC/CEM์„ ๊ทผ๊ฐ„์œผ๋กœ ๋ณดํ˜ธํ”„๋กœํŒŒ์ผ(PP) ๋ฐ ์ •๋ณด๋ณดํ˜ธ์ œํ’ˆ์˜ ๋ณด์•ˆ๊ธฐ๋Šฅ์„ฑ ๋ฐ ๋ณด์ฆ๋ฌธ์„œ๋ฅผ ์ฒด๊ณ„์ ์œผ๋กœ ํ‰๊ฐ€ํ•  ์ˆ˜ ์žˆ๋Š” ์‹ค๋ฌด ๋Šฅ๋ ฅ ๋ฐฐ์–‘์„ ๋ชฉ์ ์œผ๋กœ ํ•œ๋‹ค.
CSE512 ๊ณ ๊ธ‰๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค (Advanced Database)

  • ๋ณธ ๊ต๊ณผ์—์„œ๋Š” ํ•™์ƒ๋“ค์ด ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค ๋ถ„์•ผ์˜ ์ตœ์‹  ์—ฐ๊ตฌ ์ด์Šˆ๋ฅผ ํ•™์ƒ๋“ค์ด ์ดํ•ดํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•œ๋‹ค. ์ฆ‰, ๊ฐ์ฒด ์ง€ํ–ฅ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค, ๊ฐ์ฒด ๊ด€๊ณ„ํ˜• ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค, XML ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค, ๋ฉ€ํ‹ฐ๋ฏธ๋””์–ด ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค, ์ฐจ์„ธ๋Œ€ ํ”Œ๋ž˜์‹œ ๋ฉ”๋ชจ๋ฆฌ ๊ธฐ๋ฐ˜ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค ๋“ฑ์„ ๋‹ค๋ฃฌ๋‹ค. This course provides students with comprehensive introduction to the recent research topics in database areas. We will cover the object-oriented database models, object-relational database models, XML data model, multimedia database models, and so on. The goal of the course is to give the student a basic understanding of recent research topics in database systems and applications. *Prerequisites: database (undergraduate)
CSE513 ๊ณ ๊ธ‰์†Œํ”„ํŠธ์›จ์–ด๊ณตํ•™ (Advanced Software Engineering)

  • ๋ณธ ๊ฐ•์ขŒ๋Š” ์†Œํ”„ํŠธ์›จ์–ด ๊ณตํ•™์— ๋Œ€ํ•œ ๊ณ ๊ธ‰ ์ˆ˜์ค€์˜ ๊ฐ•์ขŒ๋กœ ์„œ ๊ธฐ์กด์˜ ์†Œํ”„ํŠธ์›จ์–ด ๊ณตํ•™์˜ ๊ฐœ๋…, ๋ฐฉ๋ฒ•๋ก , ๊ธฐ๋ฒ• ๋“ฑ์„ ๋ถ„ ์„ ํ‰๊ฐ€ํ•˜๊ณ  ๊ทธ๊ฒƒ์˜ ํ•œ๊ณ„์„ฑ ๋‚ด์ง€๋Š” ์ œ์•ฝ์„ฑ์„ ๊ทน๋ณตํ•˜๊ธฐ ์œ„ํ•ด์„œ ์ƒˆ๋กญ๊ฒŒ ๋Œ€๋‘๋˜๊ณ  ์žˆ๋Š” ๊ฐ์ฒด์ง€ํ–ฅ์  ์†Œํ”„ํŠธ์›จ์–ด ๊ณตํ•™ (O.O.S.E.),์‹œ์Šคํ…œ ๊ณตํ•™, ์ปดํฌ๋„ŒํŠธ ๊ธฐ๋ฐ˜ ์†Œํ”„ํŠธ์›จ์–ด๊ณตํ•™ (Component Based S.E.) ๋ฐ ์•„ํ‚คํ…์ณ ๊ธฐ๋ฐ˜ ์†Œํ”„ํŠธ์›จ์–ด ๊ณตํ•™ (Architecture Based S.E.)๋“ฑ์— ๊ด€ํ•ด์„œ ๊ทธ๊ฒƒ๋“ค์˜ ์ƒˆ๋กœ์šด ๊ฐœ๋… ๊ทธ๋ฆฌ๊ณ  ๋ฐฉ๋ฒ•๋ก  ๊ธฐ๋ฒ• ๋“ฑ์— ๋Œ€ํ•ด์„œ ํฌ๊ด„์ ์œผ๋กœ ๊ณ ์ฐฐํ•˜๊ณ  ํ˜„์‹ค ์ ์šฉํ™˜๊ฒฝ์„ ๋ถ„์„ ํ‰๊ฐ€ํ•ด ๋ด„์œผ๋กœ์„œ ํ–ฅํ›„ ์ด ๋ถ„์•ผ๊ฐ€ ์–ด๋–ป๊ฒŒ ๋ฐœ์ „ํ•ด ๊ฐˆ ๊ฒƒ์ธ๊ฐ€์— ๋Œ€ํ•œ ๊ฐ๊ฐ์„ ๊ฐ€์ง€๋„๋ก ํ•˜๋Š” ๋ฐ ๋ชฉ์ ์„ ๋‘”๋‹ค. This course is designed to present students with an overview of advanced topics in Software Engineering. Students will be exposed to techniques that are gaining increasing attention in the industrial and research communities. Students will apply the software engineering techniques to homework assignments and mini-projects throughout the course. Both individual- and group-oriented exercises will be assigned. Class participation is an essential component of the course. Students will have opportunities to develop and/or improve their technical writing and software development skills during the course of the term.
CSE514 ๊ณ ๊ธ‰์•Œ๊ณ ๋ฆฌ์ฆ˜ (Advanced Algorithm)

  • ํ•™๋ถ€์˜ ์•Œ๊ณ ๋ฆฌ์ฆ˜ ๊ณผ๋ชฉ์— ์ด์–ด์„œ ํšจ์œจ์ ์ธ ์•Œ๊ณ ๋ฆฌ์ฆ˜์˜ ์„ค๊ณ„์™€ ๋ถ„์„์— ๋Œ€ํ•˜์—ฌ ๊นŠ์ด ์žˆ๊ฒŒ ๊ณต๋ถ€ํ•œ๋‹ค. ๋‹ค๋ฃจ๋Š” ์ฃผ์ œ๋Š” ๊ทธ๋ž˜ํ”„ ์•Œ๊ณ ๋ฆฌ์ฆ˜, ๋Œ€์ˆ˜์  ์•Œ๊ณ ๋ฆฌ์ฆ˜, ์ŠคํŠธ๋ง ์•Œ๊ณ ๋ฆฌ์ฆ˜, ๊ธฐํ•˜ ์•Œ๊ณ ๋ฆฌ์ฆ˜, ๊ทผ์‚ฌ ์•Œ๊ณ ๋ฆฌ์ฆ˜ ๋“ฑ์ด๋‹ค.
CSE6111 ๊ณ ๊ธ‰์ธ๊ณต์ง€๋Šฅ (Advanced Artificial Intelligence)

  • ์ง€์‹ํ‘œํ˜„๊ณผ ์ถ”๋ก ์„ ์ง‘์ค‘์ ์œผ๋กœ ๊ณต๋ถ€ํ•œ๋‹ค. ํŠนํžˆ Ontology Engineering์„ ์œ„ํ•œ ์ง€์‹ ํ‘œํ˜„ ๋ฐ ์ถ”๋ก ์„ ์ค‘์‹ฌ์œผ๋กœ ๊ณต๋ถ€ํ•˜๋ฉฐ, ์ด์— ๋Œ€ํ•œ ์‚ฌ๋ก€์—ฐ๊ตฌ ์ค‘์‹ฌ์œผ๋กœ ์‹ฌ๋„ ์žˆ๊ฒŒ ๋‹ค๋ฃฌ๋‹ค. In this course, we will study knowledge representation and reasoning in depth. More specifically, we cover Propositional logic, first-order logic, and frame-based knowledge reprsentation structure. We also cover ontology representation, description logic and OWL. In this, you are supposed to develop a knowldge-based system with ProtegeOWL, an ontology engineering tool.
CSE6115 ๊ณ ๊ธ‰๊ธฐ๊ณ„ํ•™์Šต (Advanced machine learning)

  • ๋ณธ ๊ณผ๋ชฉ์€ ๋ฐ์ดํ„ฐ ๋งˆ์ด๋‹๊ณผ ๊ธฐ๊ณ„ํ•™์Šต ๋ถ„์•ผ์˜ ๊ณ ๊ธ‰ ์ˆ˜์ค€ ๊ฐ•์ขŒ๋กœ, ๊ณ ์ „์ ์ธ ๋ฐฉ๋ฒ•๋ก ์—์„œ๋ถ€ํ„ฐ ์ตœ์‹  ํ•™์Šต ์•Œ๊ณ ๋ฆฌ์ฆ˜์— ์ด๋ฅด๊ธฐ๊นŒ์ง€ ์‹ค์ œ ์‘์šฉ์—์„œ ์œ ์šฉํ•˜๊ฒŒ ์‚ฌ์šฉ๋˜๊ณ  ์žˆ๋Š” ๋‹ค์–‘ํ•œ ๊ธฐ๋ฒ•๋“ค์„ ์†Œ๊ฐœํ•œ๋‹ค. ๋‹ค์–‘ํ•œ ๋ถ„๋ฅ˜ (classification) ๊ธฐ๋ฒ•, ๊ณ ์ฐจ์› ํšŒ๊ท€๋ถ„์„ (regression) ๋ชจ๋ธ, ๊ตฐ์ง‘ํ™” (clustering), bagging and boosting, ์š”์ธ ๋ถ„์„ (factor analysis), ์€ ๋‹‰๋งˆ๋ฅด์ฝ”ํ”„ ๋ชจ๋ธ (hidden markov model), ๊ทธ๋ฆฌ๊ณ  ํ™•๋ฅ  ๊ทธ๋ž˜ํ”„ ๋ชจ๋ธ (probabilistic graphical model) ๋“ฑ์„ ๋‹ค๋ฃฌ๋‹ค. This course is designed to introduce students to advanced techniques in data mining and machine learning. Techniques covered will range from the classical to state-of-the-art learning algorithms that have proven to b useful in real applications. Possible topics include various classification methods, high-dimensional regression models, clustering, bagging and boosting, factor analysis, hidden markov model, and probabilistic graphical models.
CSE6116 ๊ฐ•ํ™”ํ•™์Šต์ด๋ก ๋ฐ์‘์šฉ (Theory and Applications of Reinforcement Learning)

  • ๊ฐ•ํ™”ํ•™์Šต์˜ ๊ธฐ์ดˆ์  ๋‚ด์šฉ์ธ Multi-Armed Bandit, Markov Decision Process๋กœ๋ถ€ํ„ฐ Monte-Carlo Method, Q-learning, Value Function Approximation, Policy Gradient, Deep Q-learning Network ๋“ฑ ์ด๋ก ์  ๋‚ด์šฉ์„ ๋‹ค๋ฃฌ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ๋‹ค์–‘ํ•œ ๋ถ„์•ผ์˜ ์‘์šฉ ์‚ฌ๋ก€๋“ค์„ ์‚ดํŽด๋ณด๊ณ  ํ•™ ์ƒ๋“ค์˜ ์—ฐ๊ตฌ์— ์ ์šฉํ•  ์ˆ˜ ์žˆ๋„๋ก ํ”„๋กœ์ ํŠธ๋ฅผ ์ˆ˜ํ–‰ํ•œ๋‹ค.
CSE714 ์ •๋ณด๊ฒ€์ƒ‰ (Information Retrieval)

  • ์ •๋ณด ๊ฒ€์ƒ‰์˜ ๋ชจ๋ธ, ๋ธ”๋ฆฌ์–ธ ๋ชจ๋ธ, ๋ฒกํ„ฐ๊ณต๊ฐ„ ๋ชจ๋ธ, ์ธ์ง€๊ณผํ•™์  ๋ชจ๋ธ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•˜๋Š” ๊ฒ€์ƒ‰ ๋ชจํ˜• ๋“ฑ์„ ๋ฐฐ์šด๋‹ค. ๋˜ํ•œ ์ธํ„ฐ๋„ท ๊ฒ€์ƒ‰์„ ์ค‘์‹ฌ์œผ๋กœ ํ•„์š”ํ•œ ๊ธฐ์ˆ , ์ธ๋ฑ์Šค ์ถ”์ถœ, ํ•„ํ„ฐ๋ง, ํด๋Ÿฌ์Šคํ„ฐ๋ง, ๊ฐœ๋… ๊ธฐ๋ฐ˜ ๊ฒ€์ƒ‰ ๋“ฑ์— ๊ด€๋ จ๋œ ๊ธฐ์ˆ ์„ ๋…ผ๋ฌธ์„ ์ค‘์‹ฌ์œผ๋กœ ๋ฐฐ์šด๋‹ค. ์‘์šฉ์„ ์œ„ํ•˜์—ฌ ์ธํ„ฐ๋„ท์ƒ์—์„œ ๊ฒ€์ƒ‰ํ•  ์ˆ˜ ์žˆ๋Š” ์‹œ์Šคํ…œ์„ ๊ฐ„๋‹จํžˆ ๋งŒ๋“ค๊ณ  ๊ธฐ์ˆ ์„ ํ”„๋กœ์ ํŠธ๋ณ„๋กœ ๊ตฌํ˜„ํ•˜๋Š” ๊ณผ์ œ๋ฅผ ์ˆ˜ํ–‰ํ•œ๋‹ค. This course introduces information retrieval overall. In the first part, it covers Boolean retrieval and basic techniques for indexing and retrieving. In the second part, it covers advanced topics: relevance feedback, XML retrieval, vector model, probabistic model, and classification methods. At the end of class, the students present research papers related with Web information retrieval.
CSE542 ๊ณ ๊ธ‰์ปดํ“จํ„ฐ๋„คํŠธ์›Œํฌ (Advanced Computer Network)

  • ํ•™๋ถ€์—์„œ ์Šต๋“ํ•œ ์ปดํ“จํ„ฐ ํ†ต์‹ ๊ณผ ์ธํ„ฐ๋„ท ๊ด€๋ จ ์ง€์‹์„ ๊ธฐ๋ฐ˜์œผ๋กœ ํ˜„ ์ธํ„ฐ๋„ท์—์„œ ์‚ฌ์šฉ๋˜๊ณ  ์žˆ๊ฑฐ๋‚˜ ์ƒˆ๋กญ๊ฒŒ ๋ถ€๊ฐ๋˜๊ณ  ์žˆ๋Š” ๋„คํŠธ์›Œํฌ ๊ณ„์ธต๊ณผ ์ „์†ก ๊ณ„์ธต, ๊ทธ๋ฆฌ๊ณ  ์ด๋™ ๋‹จ๋ง์„ ์ง€์›ํ•˜๊ธฐ ์œ„ํ•œ ๋„คํŠธ์›Œํฌ ๊ณ„์ธต ํ”„๋กœํ† ์ฝœ์— ๋Œ€ํ•œ ์‹ฌํ™”๋œ ์ดํ•ด๋ฅผ ๊ฐ–๋„๋ก ํ•œ๋‹ค. ํ˜„ ์ผ์ƒ์ƒํ™œ์„ ์ง€๋ฐฐํ•˜๊ณ  ์žˆ๋Š” ์ธํ„ฐ๋„ท์— ๋Œ€ํ•œ ์‹ฌํ™”๋œ ์ง€์‹์„ ์Šต๋“ํ•˜๊ฒŒ ๋จ์œผ๋กœ์จ ๋„คํŠธ์›Œํฌ๋ฅผ ํ™œ์šฉํ•˜๊ฑฐ๋‚˜ ๋„ค ํŠธ์›Œํฌ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•œ ๊ณผ๋ชฉ ์ˆ˜๊ฐ•๊ณผ ์—ฐ๊ตฌ๋ฅผ ๋ณด๋‹ค ์ฒด๊ณ„์ ์ด๊ณ  ํ˜„์‹ค์„ฑ ์žˆ๊ฒŒ ์ง„ํ–‰ํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค. This course will cover the topics related to high speed computer network such as new protocol architecture, naming systems, IPv6, TCP variants, and new transport layer protocols. The students are required to be somewhat familiar with the basic concepts of computer networks and to have taken at least a computer network course in undergraduate school.
CSEC601 ๊ณ ๊ธ‰๋ถ„์‚ฐ์‹œ์Šคํ…œ (Advanced Distributed Systems)

  • ๋„คํŠธ์›Œํฌ๋กœ ์—ฐ๊ฒฐ๋œ ๋‹ค์ˆ˜์˜ ๋…๋ฆฝ์ ์ธ ์‹œ์Šคํ…œ์„ ํ•œ ๊ฐœ์˜ ์ปค๋‹ค๋ž€ ์‹œ์Šคํ…œ์ฒ˜๋Ÿผ ์ด์šฉํ•˜๊ธฐ ์œ„ํ•œ ๋ถ„์‚ฐ์‹œ์Šคํ…œ์˜ ๊ตฌ์กฐ, ๊ตฌ์„ฑ ์š”์†Œ์˜ ๊ธฐ๋Šฅ ๋ฐ ์„ค๊ณ„์— ๊ด€๋ จ๋œ ์ด๋ก ์„ ์—ฐ๊ตฌํ•˜๊ณ  ๊ตฌํ˜„์„ ํ†ตํ•˜์—ฌ ์ดํ•ด๋ฅผ ๋•๋Š”๋‹ค. ๋ถ„์‚ฐ์ฒ˜๋ฆฌ์˜ ์ด๋ก  ๋ฐ ์‘์šฉ, ๋™๊ธฐํ™” ๋ฌธ์ œ, load balancing, remote procedure call, file sharing, fault-tolerance, replication, consistency ๋“ฑ์— ๊ด€ํ•œ ๋‚ด์šฉ์ด ํฌํ•จ๋œ๋‹ค. Distributed systems consist of many independent systems connected via networks and appear to users as a single coherent system. This course covers structure, function, design of distributed systems. Theory, implementation, and application of distributed systems include synchronization, load balancing, remote procedure call, file sharing, replication, consistency, and fault-tolerance.
CSE651 ๊ณ ๊ธ‰์ธ๊ฐ„์ปดํ“จํ„ฐ์ƒํ˜ธ์ž‘์šฉ(Advanced Human-Computer Interaction)

  • ๋ณธ ๊ต๊ณผ๋ชฉ์—์„œ๋Š” HCI๋ถ„์•ผ ์—ฐ๊ตฌ ์ˆ˜ํ–‰์— ์žˆ์–ด์„œ ํ•„์ˆ˜์ ์ธ HCI ๋ชจ๋ธ, ์ด๋ก , ํ”„๋ ˆ์ž„์›Œํฌ์— ๋Œ€ํ•ด์„œ ์†Œ๊ฐœํ•˜๊ณ , HCI ์ตœ์‹  ์—ฐ๊ตฌ ๋™ํ–ฅ์„ ์‚ดํŽด๋ณธ๋‹ค. ๋˜ํ•œ HCI์˜ ๋‹ค์–‘ํ•œ ์‘์šฉ๋ถ„์•ผ(e.g., Social Computing, Human Computation, Machine Learning, Visualization, Mobile Interaction)์—์„œ ์‹ค์ œ ๋ฌธ์ œ ํ•ด๊ฒฐ์— ์ ์šฉํ•˜๋Š” ๋ฐฉ๋ฒ•๋ก  ๋ฐ ๊ธฐ์ˆ ์„ ์ˆ™์ง€ํ•  ์ˆ˜ ์žˆ๋Š” ๊ธฐํšŒ๋ฅผ ์ œ๊ณตํ•œ๋‹ค. This course introduces models, theories, and frameworks that are essential for HCI research, and discusses the latest research trends in HCI. Students will learn core methodologies and techniques applied to actual problem solving in various application fields (eg, social computing, human computing, machine learning, visualization, and mobile interaction) of HCI.
CSE561 ๊ณ ๊ธ‰์ปดํ“จํ„ฐ๊ตฌ์กฐ(Advanced Computer Architecture)

  • ํ•™๋ถ€์—์„œ ๋‹ค๋ฃฌ ๊ฐ ๋ถ„์•ผ๋ณ„ ์ปดํ“จํ„ฐ ๊ตฌ์กฐ๋ฅผ ๊นŠ์ด ์žˆ๊ฒŒ ๋‹ค๋ฃฌ๋‹ค. ๋ถ„์•ผ๋ณ„ ๋‚ด์šฉ์„ ๋‚˜์—ดํ•˜๋ฉด ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. Fundamentals of Computer Design, Instruction Set Architecture, Scalability and Performance issues, Principles of Parallelism, Memory-Hierarchy, Interconnection Networks, Multiprocessors including Cache Coherence, and Multicore issues ๋“ฑ์— ๊ด€ํ•œ ์ฃผ์ œ๋ฅผ ์ตœ์‹  ๊ต์žฌ์™€ ๋…ผ๋ฌธ๋“ค์„ ์ค‘์‹ฌ์œผ๋กœ ์‹ฌ๋„ ์žˆ๊ฒŒ ์—ฐ๊ตฌํ•œ๋‹ค.
CSE852 ํ˜„์žฅ์‹ค์Šต1 (Internship I)
CSE853 ํ˜„์žฅ์‹ค์Šต2 (Internship II)
CSE854 ํ˜„์žฅ์‹ค์Šต3 (Internship โ…ข)

  • ICT ๊ด€๋ จ ์‚ฐ์—…์ฒด ํ˜น์€ ์—ฐ๊ตฌ์†Œ์—์„œ ์‹ค์ œ ์—ฐ๊ตฌ๊ฐœ๋ฐœ ์—…๋ฌด์— ์ธํ„ด์œผ๋กœ ์ฐธ์—ฌํ•จ์œผ๋กœ์จ ํ˜„์žฅ ์‹ค๋ฌด ๋Šฅ๋ ฅ์„ ๋ฐฐ์–‘ํ•œ๋‹ค.
CSEC791 ์‚ฐํ•™์—ฐ๊ตฌ1 (Industrial Research I)
CSEC891 ์‚ฐํ•™์—ฐ๊ตฌ2 (Industrial Research II)