Kevin Zam

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Kevin Zam

@zamliankham

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Kevin Zam

October

22sepAll Day01novTMHG 534 Data mining and machine learning

06oct(oct 6)3:00 pm31(oct 31)12:00 amTMHG 528 Disease Surveillance and Public Health Investigation

Event Details

Course description Disease surveillance and public health concepts; methods and procedures of case and outbreak investigations; issues related to public health surveillance data, data source, data standard, modern methods for early

Event Details

Course description

Disease surveillance and public health concepts; methods and procedures of case and outbreak investigations; issues related to public health surveillance data, data source, data standard, modern methods for early recognition of epidemics and early warning system; disseminating and communicating public health surveillance information; information technologies to assist public health surveillance practices; ethical concerns related to outbreak investigation and data dissemination

Time

2025-10-06 3:00 pm - 2025-10-31 12:00 am(GMT+07:00)

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20octAll Day25decTMHG 546 Seminar in Health Informatics

24octAll Day20decTMHG 526 Organizational Behavior and Management Skills

Event Details

COURSE DESCRIPTION Core competencies and skills for health informatics personnel, moral and ethics of health informaticians, personal skills, administrative skills, coping with change, social and relationship skills, IT related skills, learning

Event Details

COURSE DESCRIPTION

Core competencies and skills for health informatics personnel, moral and ethics of health informaticians, personal skills, administrative skills, coping with change, social and relationship skills, IT related skills, learning skills, planning and organizational skills, leadership skills, communication skills and resource management skills

Time

2025-10-24 - 2025-12-20 (All Day)(GMT+07:00)

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Topic 1.1: Introduction to PHI
Topic 1.1: Introduction to PHI
Week 2: Discussion on disease characteristics and model structure
Week 2: Discussion on disease characteristics and model structure
Week 2: Discussion on disease characteristics and model structure

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