{"ModuleCode":"SPH3101","ModuleTitle":"Biostatistics for Public Health","Department":"Saw Swee Hock School Of Public Health","ModuleDescription":"This module will introduce the entire biostatistical data analysis workflow in public health, from data management to data analysis and the interpretation of results, translating data into reliable and consumable information for knowledge discovery in public health. Particular emphasis on the application of regression models in public health without the mathematical details and the proficiency in using statistical software (SPSS) to perform data analysis, integrating biostatistics, computer applications and public health for improving the health of mankind.","ModuleCredit":"4","Workload":"2-1-2-1-4","Prerequisite":"Any of the following modules or their equivalent, subject to approval by module coordinator: BN2012 Bioengineering Data Analysis DSC2008 Business Analytics – Data and Decisions EC2303 Foundations for Econometrics PR2103 Pharmacostatistics SC3209 Data Analysis in Social Research ST1131 Introduction to Statistics ST1232 Statistics for Life Sciences ST2334 Probability and Statistics","CorsBiddingStats":[{"AcadYear":"2015/2016","Semester":"1","Round":"1C","Group":"Lecture 1","Quota":"36","Bidders":"0","LowestBid":"0","LowestSuccessfulBid":"0","HighestBid":"0","Faculty":"Saw Swee Hock School Of Public Health","StudentAcctType":"Reserved for 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1","CourseAcadYear":"2015/2016","CourseOpenDate":"/Date(1432483200000+0800)/","CourseOpenDate_js":"2015-05-25T00:00:00","CourseCloseDate":"/Date(1451577540000+0800)/","CourseCloseDate_js":"2015-12-31T23:59:00","CourseMC":"0","isActive":"Y","Permission":"S","Creator":{"UserID":null,"Name":"Diane 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Second Edition. Cambridge Medicine. (NUS Library e-resource)","Order":1,"Rating":0,"SiteType":null}],"Lecturers":[{"ID":"e992427d-0456-4ac4-91d5-cd5d2a8f87fa","User":{"UserID":null,"Name":"Tan Chuen Seng","Email":null,"Title":null,"UserGuid":"02390460-6411-4a4a-aa14-b63768645257","AccountType":null},"Role":"Lecturer ","Order":3,"ConsultHrs":null}],"Descriptions":[{"ID":"1e5f053b-8835-4692-be49-41f07234cfff","Title":"Learning Outcomes","Description":"This module will introduce the entire biostatistical data analysis workflow in public health, from data management to data analysis and the interpretation of results, translating data into reliable and consumable information for knowledge discovery in public health. Particular emphasis on the application of regression models in public health without the mathematical details and the proficiency in using statistical software (SPSS) to perform data analysis, integrating biostatistics, computer applications and public health for improving the health of mankind.","Order":1},{"ID":"2e5f053b-8835-4692-be49-41f07234cfff","Title":"Prerequisites","Description":"

\r\n\tPre-requisites: Any of following modules or their equivalent, subject to approval by module coordinator:

\r\n\r\n\t\r\n\t\t\r\n\t\t\t\r\n\t\t\t\r\n\t\t\r\n\t\t\r\n\t\t\t\r\n\t\t\t\r\n\t\t\r\n\t\t\r\n\t\t\t\r\n\t\t\t\r\n\t\t\r\n\t\t\r\n\t\t\t\r\n\t\t\t\r\n\t\t\r\n\t\t\r\n\t\t\t\r\n\t\t\t\r\n\t\t\r\n\t\t\r\n\t\t\t\r\n\t\t\t\r\n\t\t\r\n\t\t\r\n\t\t\t\r\n\t\t\t\r\n\t\t\r\n\t\t\r\n\t\t\t\r\n\t\t\t\r\n\t\t\r\n\t\r\n
\r\n\t\t\t\t

\r\n\t\t\t\t\ti.

\r\n\t\t\t		\r\n\t\t\t\t

\r\n\t\t\t\t\tBN2102 Bioengineering Data Analysis

\r\n\t\t\t
\r\n\t\t\t\t

\r\n\t\t\t\t\tii.

\r\n\t\t\t		\r\n\t\t\t\t

\r\n\t\t\t\t\tDSC2008 Business Analytics – Data and Decisions

\r\n\t\t\t
\r\n\t\t\t\t

\r\n\t\t\t\t\tiii.

\r\n\t\t\t		\r\n\t\t\t\t

\r\n\t\t\t\t\tEC2303 Foundations for Econometrics

\r\n\t\t\t
\r\n\t\t\t\t

\r\n\t\t\t\t\tiv.

\r\n\t\t\t		\r\n\t\t\t\t

\r\n\t\t\t\t\tPR2103 Pharmacostatistics

\r\n\t\t\t
\r\n\t\t\t\t

\r\n\t\t\t\t\tv.

\r\n\t\t\t		\r\n\t\t\t\t

\r\n\t\t\t\t\tSC3209 Data Analysis in Social Research

\r\n\t\t\t
\r\n\t\t\t\t

\r\n\t\t\t\t\tvi.

\r\n\t\t\t		\r\n\t\t\t\t

\r\n\t\t\t\t\tST1131 Introduction to Statistics

\r\n\t\t\t
\r\n\t\t\t\t

\r\n\t\t\t\t\tvii.

\r\n\t\t\t		\r\n\t\t\t\t

\r\n\t\t\t\t\tST1232 Statistics for Life Sciences

\r\n\t\t\t
\r\n\t\t\t\t

\r\n\t\t\t\t\tviii.

\r\n\t\t\t		\r\n\t\t\t\t

\r\n\t\t\t\t\tST2334 Probability and Statistics

\r\n\t\t\t
\r\n
\r\n","Order":2},{"ID":"3e5f053b-8835-4692-be49-41f07234cfff","Title":"Teaching Modes","Description":"Lectures will be conducted twice per week, on every Tuesday (12PM to 2PM) and every Friday (2PM to 4PM).
\r\n
\r\nVenue: Tahir Foundation Building MD1-08-01B Computer Lab 2 at level 8","Order":3},{"ID":"8e5f053b-8835-4692-be49-41f07234cfff","Title":"Assessment","Description":"Break down of assessment:
\r\n30% Project 1
\r\n30% Project 2
\r\n30% Exam
\r\n10% Class participation
\r\n
\r\nExamination Date: 23 November 2015 (Monday), 1PM","Order":8},{"ID":"a9f21bb6-c15e-444f-bc80-c54e4a6d136e","Title":"Preclusions","Description":"NIL","Order":9},{"ID":"b32b4d13-ae27-4af7-a749-7b81de3c0b7e","Title":"Workload","Description":"2-1-2-1-4

Workload Components : A-B-C-D-E \r\n
A: no. of lecture hours per week \r\n
B: no. of tutorial hours per week \r\n
C: no. of lab hours per week \r\n
D: no. of hours for projects, assignments, fieldwork etc per week \r\n
E: no. of hours for preparatory work by a student per week","Order":10}],"ReadingFormatted":[],"ReadingUnformatted":[]}],"Lecturers":["Tan Chuen Seng"],"LecturePeriods":["Tuesday Afternoon","Friday Afternoon"]}]}