Nanotechnology and Nanosensors, Part 1 (Coursera)

Nanotechnology and Nanosensors, Part 1 (Coursera)

Nanotechnology and nanosensors are broad, interdisciplinary areas that encompass (bio)chemistry, physics, biology, materials science, electrical engineering and more. The present course will provide a survey on some of the fundamental principles behind nanotechnology and nanomaterials and their vital role in novel sensing properties and applications. The course will discuss interesting interdisciplinary scientific and engineering knowledge at the nanoscale to understand fundamental physical differences at the nanosensors.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

By the end of the course, students will understand the fabrication, characterization, and manipulation of nanomaterials, nanosensors, and how they can be exploited for new applications. Also, students will apply their knowledge of nanotechnology and nanosensors to a topic of personal interest in this course.
Course Objectives
The course main objective is to enhance critical, creative, and innovative thinking. The course encourages multicultural group work, constructing international 'thinking tanks' for the creation of new ideas. Throughout the course, you will be asked to reflect upon your learning, think "out of the box", and suggest creative ideas.
The course is set to encourage the understanding of:

  1. The importance of nanoscale materials for sensing applications.
  2. Approaches used for characterizing sensors based nanomaterials.
  3. Approaches used for tailoring nanomaterials for a specific sensing application.
  4. Metallic and semiconductor nanoparticles.
  5. Organic and inorganic nanotubes and nanowires.
  6. Optical, mechanical and chemical sensors based on nanomaterials.
  7. Hybrid nanomaterial-based sensors.

Syllabus

WEEK 1: Introduction to Nanotechnology, Part 1
WEEK 2: Introduction to Nanotechnology, Part 2
WEEK 3: Introduction to Sensors’ Science and Technology
WEEK 4: Metal Nanoparticles-based Sensors
WEEK 5: Quantum Dots Sensor

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Dino 101: Dinosaur Paleobiology (Coursera) Coursera
University of Alberta

Dino 101: Dinosaur Paleobiology (Coursera)

Dino 101: Dinosaur Paleobiology is a 12-lesson course teaching a comprehensive overview of non-avian dinosaurs. Topics covered: anatomy, eating, locomotion, growth, environmental and behavioral adaptations, origins and extinction. Lessons are delivered from museums, fossil-preparation labs and dig sites. Estimated workload: 3-5 hrs/week.

Nov 14th 2026
5-12 Weeks
Introduction to Genomic Technologies (Coursera) Coursera
Johns Hopkins University

Introduction to Genomic Technologies (Coursera)

This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it. We'll introduce the Central Dogma of Molecular Biology and cover how next-generation sequencing can be used to measure DNA, RNA, and epigenetic patterns. You'll also get an introduction to the key concepts in computing and data science that you'll need to understand how data from next-generation sequencing experiments are generated and analyzed.

Nov 9th 2026
4 Weeks
Conceptos y Herramientas para la Física Universitaria (Coursera) Coursera
Tecnológico de Monterrey

Conceptos y Herramientas para la Física Universitaria (Coursera)

Este curso provee al estudiante con conceptos y herramientas matemáticas para modelar problemas en física, que al aplicar podrá enfrentar con éxito los cursos de física universitarios. Así pues, la filosofía de este curso consiste en cubrir temas conceptuales relativos a la Física y desarrollar tu capacidad de aprender y aplicarlos en tu vida profesional.

Nov 9th 2026
5-12 Weeks
Thermodynamique : fondements (Coursera) Coursera
École Polytechnique Fédérale de Lausanne

Thermodynamique : fondements (Coursera)

Ce cours vous apportera une compréhension des concepts fondamentaux de la thermodynamique du point de vue de la physique, de la chimie et de l’ingénierie. Il est scindé un deux MOOCs. Dans la première partie, le Professeur J.-Ph. Ansermet de l’EPFL et son collaborateur le Dr. Sylvain Bréchet ont rassemblé en quatre leçons tous les principes fondamentaux de la thermodynamique. La deuxième partie du MOOC illustre l’approche thermodynamique par une série d’applications présentées par des spécialistes provenant de diverses institutions partenaires du réseau RESCIF.

Nov 9th 2026
4 Weeks
Genetics and Society: A Course for Educators (Coursera) Coursera
American Museum of Natural History

Genetics and Society: A Course for Educators (Coursera)

How have advances in genetics affected society? What do we need to know to make ethical decisions about genetic technologies? This course includes the study of cloning, genetic enhancement, and ownership of genetic information. Course participants will acquire the tools to explore the ethics of modern genetics and learn how to integrate these issues into their classrooms.

Nov 16th 2026
4 Weeks
Density Functional Theory (Coursera) Coursera
École Polytechnique

Density Functional Theory (Coursera)

The aim of this course is to give a thorough introduction to Density Functional Theory (DFT). DFT is today the most widely used method to study interacting electrons, and its applicability ranges from atoms to solid systems, from nuclei to quantum fluids. In this course, we introduce the most important concepts underlying DFT, its foundation, and basic ideas. We will in particular stress the features and reasons that lead DFT to become the dominant method for simulating quantum mechanical systems.

Nov 16th 2026
3 Weeks
Bioinformatic Methods I (Coursera) Coursera
University of Toronto

Bioinformatic Methods I (Coursera)

Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful information pertaining to the system being studied. This course focuses on employing existing bioinformatic resources – mainly web-based programs and databases – to access the wealth of data to answer questions relevant to the average biologist, and is highly hands-on.

Nov 16th 2026
5-12 Weeks
AstroTech: The Science and Technology behind Astronomical Discovery (Coursera) Coursera
University of Edinburgh

AstroTech: The Science and Technology behind Astronomical Discovery (Coursera)

Modern astronomy has made some astonishing discoveries - how stars burn and how black holes form; galaxies from the edge of the universe and killer rocks right next door; where the elements come from and how the expanding universe is accelerating. But how do we know all that? The truth is that astronomy would be impossible without technology, and every advance in astronomy is really an advance in technology. But the technology by itself is not enough. We have to apply it critically with a knowledge of physics to unlock the secrets of the Universe.

Nov 16th 2026
5-12 Weeks