IT Convergence Engineering

The Division of IT Convergence Engineering is a graduate school which focuses on 4 research areas, Autonomics, Communications & Networks, Nano Sensors & Systems, and Biotechnology and aims to compete at a world-class  level in the new area by increasing the diversity of research.

Researchers in the 4 different fields of the Division of IT Convergence Engineering collaborate together and students can experience new research trends, create new research methods and discover knowledge that  had not previously existed. The new technology, research methods and knowledge will not only be offered to researchers in the division but will also be shared with researchers from home and abroad through a variety of academic conferences, strengthening the research capability about convergence engineering are. This interdisciplinary research and collaboration by Korean's top research institutions will create strength at an international level, improving the country’s advanced academic research and competitiveness.

The Division of IT Convergence and Engineering's systematic management approach provides students with a customized curriculum. All the students belong to one of the 4 academic tracks, but they can take a wide range of courses regardless of their track. The students consult with academic advisors regarding their research interests and the best courses are recommended to them. As overseas Professors and POSTECH Professors co-advise the students, they will gain a broad and balanced knowledge of IT Convergence Engineering. With this education, students will be the brains that can handle interdisciplinary areas of IT, NT and BT. Students will also develop interdisciplinary research methods and gain a know-how of international research management.

The Division of IT Convergence Engineering offers 4 tracks in order to maximize the effects of interdisciplinary education, (1) Autonomics, (2) Communications & Networks, (3) Nano Sensors & Systems, (4) Biotechnology. To maximize the educational benefits for students from various backgrounds, the students must take an “Introduction to IT Convergence Engineering”  module to get a basic understanding of the 4 different tracks. The electives are not limited to one track. To understand the convergence of research fields, students in  the M.S. & Ph.D combined course and the Ph.D. course must take more than 1 elective in other 3tracks.

[Track 1] Autonomics 

Based on theory and technology in computer networks, software engineering and machine learning, this course aims to give students an understanding of the knowledge and technology needed in order to create large autonomous system with the leastpossible participation of human beings. Education and research in the areas including knowledge representation, sensor network communications, analysis using nano sensors, biotechnology based data, system security and design of architecture will be covered.

[Track 2] Communications & Networks

 The goal of the Communications and Networks track is to train students to understand the basic concepts and advanced theory of the Communications and Networks area and employ them for various applications. It includes novel modulation/encoding/decoding/demodulation schemes for high-speed multi-antennasystems, the analysis of networking protocols for secure data transport over wireless and wired networks and, the optimization of network control algorithms.

[Track 3] Nano Sensors & Systems 

This theme uses research and technology development in nanoscience, nanotechnology and nanoengineering to create novel sensing, electronic, mechanical and fluidic components for low-cost, integrated and miniaturized systems to prepare for existing as well as future needs in the U-Health and U-Environment. It builds on solid courses in education and research using information technology, nano and bio-nano areas and related fields such as ultra-low power wireless transceivers, "intelligent" signal processing hardware and software, novel memory architectures and biosensing systems that will be incorporated into prototypical autonomic systems for U-Health and the U-Environment.

[Track 4] Biotechnology

This course focuses on gaining an the understanding of biological structures and system including signal transduction in a cell, cell division and, genetic expression that are the basic fundamentals used in ubiquitous healthcare systems. Specifically, the course aims to help to understand various the phenomena uncovered by research on biochemical processes from a molecular level to a system level, map forming and memory and to develop and use mathematical methods, to interpret and examine them. 

Mandotory

• Introduction to IT Convergence Engineering
• Applications of IT Convergence

Electives Autonomics

• Autonomic Systems
• Ontologies and Semantic Reasoning
• Information and Data Modelling
• Machine Learning
• Probabilistic Graphical Models
• Distributed Processing
• Wireless Network Security
• Self-Protection System
• Graphical Models
• Network and Service Management
• Knowledge Representation, Reasoning and Inferencing
• Advanced Semantic Reasoning and Applications
• Special Topics in Autonomics

Electives Communications & Networks

• Introduction to Random Variable and Process
• Statistical Communication Theory
• Personal Area Networks
• Advanced Computer Networks
• Mobile Networks
• Multimedia Networking
• Estimation Theory
• Robust Control
• Special Topics in Communications & Networks

Electives Nano sensors & Systems

• Introduction to Nano Technology
• Nano Electronics
• Microwave Active Circuits
• RFIC Design
• Analog Integrated Circuits
• Digital Integrated Circuits
• Semiconductor Electronics
• Low Power Integrated Circuits
• Semiconductor Theory
• Advanced Nano Devices
• CMOS Circuits for Sensor Interface
• Nano Bio Sensor Engineering
• Sensor Technology
• Special Topics in Nano Sensors & Systems

Electives Biotechnology

• Bioinformatics
• Advanced Biochemistry
• Biology of Aging
• Frontiers of Interdisciplinary Biosciences
• Advanced Bioengineering
• Advanced Developmental Biology
• Advanced Molecular Genetics
• Special Topics in Biotechnology

Mandatory for Research

• Seminars in IT Convergence Engineering
• Doctoral Dissertation Research

Requirements

• Applicants must fill out the online application.
• Personal Statement and Research Plan - Download format from the website: http://admission.postech.ac.kr/linkUsen.do?f=sub3-2
• Curriculum Vitae (Free style personal resume)
• Copy of Passport
• Signed Consent Form - Download format from the website: http://admission.postech.ac.kr/linkUsen.do?f=sub3-2
• List of Honors and Awards (optional) - Applicants who have received any honors, awards, or fellowships during their undergraduate or graduate studies may list them in the order of importance.
• Application fee: 80 USD or 80,000 KRW
• Official Transcript(s)
• Degree Certificate(s)
• Recommendation Letters - From two recommenders (academic faculty) - Must be e-mailed or sent by post directly by each recommender, enclosed in a sealed envelope.
• Score Report of English Proficiency Test - The official TOEFL/IELTS Score Report issued by ETS/British Council can be sent to POSTECH Graduate Admissions and Student Affairs directly by requesting it at the ETS/ British Council website. Applicants must enter POSTECH’s institution code (0329) in order for ETS to send the official score report to our office. - TOEFL ITP organized only by POSTECH is accepted
• Degree Theses (option

Scholarships

• Korean Government Scholarship Program (KGSP)
• Global Education
• POSCO Asia Fellowship
• SK hynix Fellowship
• POSTECH Teaching or Research Assistantship
• POSTECH Fellowship for Excellent International Students(PFES)
• POSTECH Settlement Allowance for New International Students