The [course_title] course covers the fundamental computing practices of medical science along with the method in the age of automation and the genome, The practice of computing in the pharmaceutical sector in both present and future will be discussed here.
The course provides an extensive analysis of the computational needs of clinical medicine. You will also learn about the review systems and approaches that is to support those needs. Finally, the course focuses on the examination of new technologies.
Assessment
This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.
Certification
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Course Credit: MIT
Course Curriculum
| lecture1 Introduction: Nature of Modern Medicine and Medical Practice | 00:10:00 | ||
| lecture2 Nature of Medical Data: Where it is and Where it is Not | 00:15:00 | ||
| lecture3 Patient Identification | 00:20:00 | ||
| lecture4 Countering Bioterrorism | 01:40:00 | ||
| lecture5 Diagnosis, Standards, Codification | 01:00:00 | ||
| lecture6 Patient Data Confidentiality and Security | 00:50:00 | ||
| lecture7 Decreasing Variability in Health Care | 01:20:00 | ||
| lecture8 Genomic Medicine I: Population Genetics in the Post Genomic Era | 01:20:00 | ||
| lecture9 Advanced Expert Systems | 00:30:00 | ||
| lecture10 Patient Monitoring | 00:30:00 | ||
| lecture11 Genomic Medicine IV: Linking Genotypes and Phenotypes | 01:20:00 | ||
| lecture12 Genomic Medicine V: Reverse Engineering | 01:20:00 | ||
| Assessment | |||
| Submit Your Assignment | 00:00:00 | ||
| Certification | 00:00:00 | ||
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