Postgraduate certificate Computing in Bioinformatics: Medical Process Digitalization and Automation

The development of Bioinformatics has been in line with the evolution of technology, and can be exported to a variety of fields, among which Medicine stands out. Therefore, today it is possible to apply its techniques for research, development and application of computational tools in the management of biological data. This has made it possible to facilitate multiple tasks through automation, as well as to save time and costs in their implementation. It is also an area in expansion with great expectations for the future, which is why organizations are increasingly demanding professionals with expertise in this field. For this reason, TECH has developed this complete and multidisciplinary program with which the graduate will be able to know in detail the ins and outs of the Digitalization and Automation of Medical Processes, through a 100% online program. It is, therefore, a unique academic opportunity to make the leap and position themselves at the top of the business sector.

University certificate

duration

6 weeks

Modality

Online

Schedule

At your own pace

Exams

Online

start date

Credits

6 ECTS

financing up to

3 months

Price(first year)

See price

The world's largest school of business”

Syllabus

For the development of all its programs, TECH employs, on the one hand, the most updated and austere information in the sector, and uses in its development the prestigious and effective Relearning methodology. Based on this, it is possible to offer complete, highly capacitating and beneficial programs for the professional growth of the graduate. In addition, its convenient 100% online format allows students to share the course of this academic experience with any other personal or professional activity.

Do you want to learn everything related to statistics for computing? Choose this Postgraduate certificate and you will be able to delve into this activity in an austere and 100% online way"

Syllabus

For the development of the curriculum of this Diploma in Bioinformatics Computing: Digitalization and Automation of Medical Processes, TECH has taken into consideration the criteria of the teaching team, which has worked to shape a dynamic and comprehensive agenda based on the latest developments in the area of Telemedicine.

It is a 150-hour course with the best theoretical, practical and additional content, which also includes a multitude of case studies. In this way, during the 6 weeks in which it is developed, the graduate will be able, besides getting up to date, to work on the improvement of their professional skills.

It is, therefore, a unique opportunity to become the manager that today's companies demand, through an austere and dynamic specialization thanks to which you will master all aspects related to database management for computer science, networks and search engines, information visualization, data mining or collaboration in online projects.

Module 1. Computing in Bioinformatics

Where, When and How is it Taught?

TECH offers the possibility of developing this Postgraduate certificate in Computer in Bioinformatics: Medical Process Digitalization and Automation in a totally online way. During the 6 weeks of the specialization, the student will be able to access all the contents of this program at any time, which will allow the students to self-manage their study time.

Module 1. Computing in Bioinformatics

1.1. Central Tenet in Bioinformatics and Computing. Current State

1.1.1. The Ideal Application in Bioinformatics
1.1.2. Parallel Developments in Molecular Biology and Computing
1.1.3. Dogma in Biology and Information Theory
1.1.4. Information Flows

1.2. Databases for Bioinformatics Computing

1.2.1. Database
1.2.2. Data management
1.2.3. Data Life Cycle in Bioinformatics

1.2.3.1.Use
1.2.3.2. Modifications
1.2.3.3. Archive
1.2.3.4.Reuse
1.2.3.5. Discarded

1.2.4. Database Technology in Bioinformatics

1.2.4.1. Architecture
1.2.4.2. Database Management

1.2.5. Interfaces for Bioinformatics Databases

1.3. Networks for Bioinformatics Computing

1.3.1. Communication Models. LAN, WAN, MAN and PAN Networks
1.3.2. Protocols and Data Transmission
1.3.3. Network Topologies
1.3.4. Datacenter Hardware for Computing
1.3.5. Security, Management and Implementation

1.4. Search Engines in Bioinformatics

1.4.1. Search Engines in Bioinformatics
1.4.2. Search Engine Processes and Technologies in Bioinformatics
1.4.3. Computational Models: Search and Approximation Algorithms

1.5. Data Display in Bioinformatics

1.5.1. Displaying Biological Sequences
1.5.2. Displaying Biological Structures

1.5.2.1. Visualization Tools
1.5.2.2. Rendering Tools

1.5.3. User Interface in Bioinformatics Applications
1.5.4. Information Architectures for Displays in Bioinformatics

1.6. Statistics for Computing

1.6.1. Statistical Concepts for Computing in Bioinformatics
1.6.2. Use Case: MARN Microarrays
1.6.3. Imperfect Data. Statistical Errors: Randomness, Approximation, Noise and Assumptions
1.6.4. Error Quantification: Precision and Sensitivity
1.6.5. Clustering and Classification

1.7. Data Mining

1.7.1. Mining and Data Computing Methods
1.7.2. Infrastructure for Data Mining and Computing
1.7.3. Pattern Discovery and Recognition
1.7.4. Machine Learning and New Tools

1.8. Genetic Pattern Matching

1.8.1. Genetic Pattern Matching
1.8.2. Computational Methods for Sequence Alignments
1.8.3. Pattern Matching Tools

1.9. Modelling and Simulation

1.9.1. Use in the Pharmaceutical Field: Drug Discovery
1.9.2. Protein Structure and Systems Biology
1.9.3. Available Tools and Future

1.10. Collaboration and Online Computing Projects

1.10.1. Grid Computing
1.10.2. Standards and Rules Uniformity, Consistency and Interoperability
1.10.3. Collaborative Computing Projects

A unique and highly empowering opportunity to learn in detail and in a multidisciplinary way, the methods of data mining and computation"

Teaching Objectives

Given the high demand that currently exists for professionals who master the business area of Digitalization and Automation of Medical Processes, TECH has developed this Postgraduate certificate with the objective that the graduate can specialize in this area. Thanks to the acquisition of a unique and exhaustive knowledge, you will be able to work on the improvement of your professional skills and aptitudes during the 150 hours in which the program is developed, becoming a confident leader and prepared to assume the management of any company.

Achieving your professional goals through the program of a great academic program is possible with TECH and this Postgraduate certificate"

TECH makes the goals of their students their own goals too
Working together to achieve them

This Postgraduate certificate in Computing in Bioinformatics: Medical Process Digitalization and Automation will enable the student to:

Determine the importance of medical databases
Delve into the most important techniques in research
Analyze the use of medical devices
Collect eHealth success stories and mistakes to avoid
Understand the concept of computing
Break down a computer system into its various parts
Distinguish between the concepts of computational biology and computation in bioinformatics
Master the most commonly used tools in the field
Determine future trends in computing
Analyze biomedical datasets using Big Data techniques

Postgraduate Certificate in Bioinformatics Computing: Digitization and Automation of Medical Processes.

In the digital era, informatics is a key tool for improving processes in the medical field. New technologies allow the digitization and automation of processes, which translates into greater efficiency and accuracy in the diagnosis and treatment of diseases. If you want to train in this field, the Postgraduate Certificate in Bioinformatics Computing at TECH Global University is your best option. This program, which combines theoretical and practical classes, is designed to provide comprehensive information in bioinformatics, an area that combines computer science and biology to analyze and process large amounts of biological data.

During the course, you will learn how to apply informatics tools for data digitization and analysis, which will allow you to automate medical processes and improve decision-making. One of the advantages of this course is that it is blended learning, which allows you to study at your own pace and adapt the training to your needs. In addition, you will have access to a virtual platform where you will be able to interact with professors and classmates, and consult study materials and teaching resources. Another benefit of this program is that it has a highly qualified faculty with experience in the field of bioinformatics and medicine. In this way, you will be able to learn from experts in the field and stay up to date on the latest trends and advances in the field.