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ID
14
교과목명
바이오헬스케어 빅데이터분석 개론
교수소속
우송
담당교수
Sarita Nandal
수강제한인원
30명
수업시간
금 13-16
수준
초급리빙랩
전공
데이터
트랙
헬스케어빅데이터
평가유형
절대평가
학점
3
교과목 기본정보
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내용
세부내용
This course is being designed for undergraduate/postgraduate students. This course will explain to the students what Big Data means and why Big Data is important to your job, your company and your industry. This course teaches you to build Big Data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. You will learn the crucial role of Big Data in Biohealthcare. Management, processing and security of Big Data.
수업 방식
Open
Online Lecture; Assignments; Quizzes; Group Discussions, Project
교재
Open
Too Big To Ignore - The Business Case for Big Data by Phil Simon Big Data at Work by Thomas H. Davenport
부교재
Open
Big Data in Practice - How 45 successful companies used Big Data Analytics to deliver extraordinary results by Bernard Marr Analytics in a Big Data world by Bart Baesens
수업자료
Open
PPT, Recorded video lectures, Online real-time zoom lectures
수강생 안내사항
Open
Students are required to follow the lectures and complete the assignments/quizzes and involve themselves actively in class/group discussions.
수업 특성 (차별성)
Open
This course will be taught through a series of lectures based on selected chapters of the textbook and supplemental texts. Case studies, videos, in-class (group and individual) exercises and take-home assignments will be frequently used to solidify the understanding through reflection and interactions. Students are expected to review the materials and participate actively in class. All the materials will be posted on the Online Teaching Platform. Students are advised to check their message box on the Online Teaching Platform frequently.
평가 세부항목
Open
(Individual evaluation) Regular examination, Quiz/Assignment, Project, Attendance
평가 방법
Open
Mid-term exam: 20%, Final exam (includes project): 30%, Quiz/Assignment: 20%, Attendance 30%
수업 진행 계획
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Title
수업 내용
수업방식(녹화본/실시간)
What is Big Data? Why is Big Data  important to you/organisation/company ?
Recorded video lectures
Characteristics of Big Data. What Big Data is not (anti definition).
Recorded video lectures
Why does Big Data matter in Biohealthcare? Crucial role Big Data will play in Biohealthcare,  jobs, a company, an organization etc.
Recorded video lectures
Big Data and Analytics. Analytics process model.
Recorded video lectures
Building team for Big Data. Big Data scientists. Their goals and challenges in Biohealthcare.
Recorded video lectures
(a) Collection of Data in Biohealthcare. Types of Data elements. Visual exploration of Data and it’s Statistical Analysis. (b) Introduction of industry expert from PhonePe (https://www.phonepe.com/), India, to brief students with real-time working on Big-Data.
Recorded video lectures
(a) Standardization and categorization of Data. Variable selection. Segmentation. (b) A project assignment to each student based upon their interest in a particular topic on Big Data for Biohealthcare.
Recorded video lectures
Sources of Big Data in Biohealthcare. Big Data sources growth. Acquisition of Big Data in Biohealthcare.
Recorded video lectures
Solutions from Big Data. Projects. Start ups. Web services.
Recorded video lectures
Vital steps to succeed with Big Data in Biohealthcare. Requirements. Strategies.
Recorded video lectures
Storage of Biohealthcare Big Data. Building a platform for storage of Big Data. Processing. To bring structure to Big Data.
Recorded video lectures
Security of Big Data Analytics. Compliance and Intellectual property challenge. (Issues and problems)
Recorded video lectures
Beyond Hadoop. Predictive analytics
Recorded video lectures
(a) Big Data’s future in Biohealthcare (b) Project submission
Recorded video lectures
(a) Big Data will become bigger and smarter in Biohealthcare (b) Project presentation
Recorded video lectures