Dr. Omics Education;

Instructor Name

Crash Courses

Reviews

0 (0 Rating)

Preview this course

Course Requirements

Motivation to Learn: A strong desire to engage with and understand the material.
Basic Knowledge: Familiarity with biology and molecular biology concepts.
Interest in Technology: Eagerness to learn about the latest technologies in Next-Generation Sequencing (NGS).
Software: Free software will be utilized, so no additional software purchases are necessary.
Hardware: A laptop with a minimum of 4GB RAM and 100GB of hard disk space.

Course Description

Comprehensive Data Analysis Techniques: Explore data description, transformation, and visualization methods to prepare and interpret biological datasets effectively.
Supervised and Unsupervised Learning: Learn key machine learning methods for model development, performance evaluation, and clustering analysis in bioinformatics.
Network Analysis: Understand and apply network analysis techniques to uncover relationships and interactions within biological systems.
Survival Analysis: Gain insights into survival analysis methods for studying time-to-event data in genomics and biomedical research.
Introduction to Artificial Neural Networks and Deep Learning: Explore foundational concepts of neural networks and their application to solving complex bioinformatics problems.
Real-World Applications: Study practical examples and case studies that demonstrate the application of advanced computational methods in bioinformatics.

Course Outcomes

Data Handling Proficiency: Develop skills to describe, transform, and visualize biological data for meaningful insights.
Machine Learning Expertise: Apply supervised and unsupervised methods to build and evaluate predictive models in bioinformatics.
Network Analysis Skills: Analyze biological networks to uncover patterns and relationships within genomic data.
Statistical Mastery: Perform survival analysis for interpreting time-based biological and clinical data.
AI and Deep Learning Applications: Understand and implement artificial neural networks for advanced bioinformatics challenges.
Practical Problem-Solving: Translate computational techniques into real-world bioinformatics solutions through practical examples and case studies.

Rules & Regulations

Attendance and Participation: Maintain a minimum of 75% attendance. Regular assessments and attendance contribute to performance evaluation.
Discipline: Maintain punctuality and respect in live classes. Engage actively and interact respectfully with instructors and peers.
Course Fee Payment: Pay course fees on time to avoid suspension or cancellation of access.
Assignments and Project: Complete assignments and projects sincerely and submit them on time.
Feedback and Communication: Maintain open communication with instructors and provide constructive feedback.
Certification: A certificate will be awarded upon course completion.

Facebook Instagram Linkedin Google Review

Course Curriculum

Instructor

Administrator

Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.