Online Course – Google Certified Professional Internship in Genetic Circuit Engineering, University of Colorado Boulder

Design Genetic Circuits for Synthetic Biology. Acquire the skills required to design, model, analyze, and build genetic circuits used in synthetic biology.

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Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Methods and tools for designing genetic circuits
  • Modulation and analysis of genetic circuits
  • Use of computational tools and experimental techniques
  • Understanding the biological and engineering principles in the field of synthetic biology
  • Practical experience in the design, modulation, and analysis of genetic circuits
  • Collaborations between engineers and biologists

What you will learn in the course

Courses for which the course is suitable

  • Biological engineer
  • Synthetic biologist
  • Genetics researcher
  • Genetic engineer
  • Genetic data analyst
  • Biology software developer
  • Expert in collaborations between engineers and biologists
  • Project Manager in the Field of Synthetic Biology
  • Researcher in the field of molecular biology
  • Genetic laboratory technologist

Internship – 3-part course series

With the sequencing of the human genome and genome sequences from other organisms, we now have a list of the parts that make up these genetic systems. With this information, researchers can engineer synthetic genetic circuits for a wide range of uses in the environmental, medical, and energy fields.

The success of this effort depends on developing methods and tools for designing these genetic circuits. While inspiration can be drawn from experience in electronic design, designing with genetic material poses different challenges. Genetic circuits are composed of very noisy components, making their behavior less synchronous, analog, and stochastic in nature.

This specialization presents cutting-edge research in new methods and software tools for modeling, analyzing, and designing genetic circuits that enable this exciting field of synthetic biology. As with the human genome sequence, collaborations between engineers and biologists will be essential for the success of synthetic biology.

Purpose of the internship

  • Facilitate collaborations between engineers and biologists.
  • To teach the biological and engineering principles required for research in the field.

Applied Learning Project

During the internship, students will undertake a series of hands-on projects in which they will design, model, and analyze genetic circuits of their choice. These projects will provide hands-on experience in the use of computational tools and experimental techniques, and will allow students to explore the complexities of genetic circuit engineering.

Details of the courses that make up the specialization

Genetic Circuit Engineering

Course 1: Design

Duration: 19 hours

Rating: 4.9 (12 ratings)

What you’ll learn

  • Identifying different cell types, their components and structures.
  • Discovering the basic structure of devices and linking them to genetic parts.
  • Comparison of different experimental techniques used in gene construction.
  • Evaluation of different principles used in genetic circuit design.

Skills you will acquire

  • Biology
  • Assembling a genetic circuit
  • Parts of a genetic circuit
  • Genetic devices
  • Genetic circuit design

Course 2: Modeling and Analysis

Duration: 24 hours

What you’ll learn

  • Design and analysis of genetic circuit models.
  • Simulation of genetic circuit models using ODE simulation methods.
  • Simulation of genetic circuit models using stochastic simulation methods.
  • Using genetic technology systems to select parts for genetic designs.

Skills you will acquire

  • Stochastic simulation analysis
  • Genetic technology mapping
  • Differential Equation Analysis
  • Genetic circuit models
  • Miscellaneous SSA

Course 3: Abstraction Methods

Duration: 17 hours

What you’ll learn

  • Utilizing abstract models based on genetic circuit responses.
  • Utilizing genetic circuit models in parts.
  • Performing analysis of Markov chain models.
  • Building abstract models based on the state of genetic circuits.

Skills you will acquire

  • Abstraction methods based on responses
  • Models in parts
  • Testing methods for infinite stochastic models
  • State-based abstraction methods
  • Markov chain analysis