Uncertainty and Research (Coursera)

Uncertainty and Research (Coursera)

This course teaches the fundamentals of scientific research. We approach the research process as a means of systematically reducing uncertainty and demonstrate how conducting a scientific investigation can be posed as an exercise in Bayesian uncertainty quantification. We begin by exploring the scientific landscape to understand the different types of research, where they are conducted, how they are supported, and why each of these types of research is important.

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

We then formalize scientific inquiry and the scientific method and elaborate the research process and its scientific merits. Basic concepts in probability theory are introduced leading to a conceptually simple presentation of Bayes’ Rule. We then illustrate how Bayes’ Rule provides a mathematical framework for the research process. We place an emphasis on the role that research plays in our daily and professional lives and how research skills can help us think critically, whether you’re in a technical field or not. Exercises are designed to help you improve your research skills and think more scientifically.
Learners who are new to research fields or would like to improve their research skills in any field for career/professional or personal growth are encouraged to enroll. The course is taught at an introductory level such that, by the end of the course, you will be able to formulate a research hypothesis and devise a scientific research plan to test that hypothesis. To be successful in this course, you will need entrance-level college mathematics.

Syllabus

WEEK 1
Introduction to the Research Landscape
In this module, you will be introduced to the landscape of scientific research. Why do we perform research? Who conducts research and where do they conduct it? What different kinds of research are undertaken? Why are the various types of research important?

WEEK 2
Scientific Inquiry
In this module, you will be introduced to the fundamentals of scientific inquiry. What makes an investigation scientific? How do we tell the difference between a scientific and a non-scientific inquiry?

WEEK 3
Scientific Method & the Research Process
In this module, you will be introduced to the different methods of inquiry, most notably the scientific method. You will learn the terminology used in scientific inquiries and define hypotheses and theories. You will learn the steps of the research process and how the research process is scientific.

WEEK 4
Uncertainty & Probability
In this module, you will learn about the different types of uncertainty and how these uncertainties are modeled. You will learn some fundamentals in probability theory, specifically conditional probabilities and Bayes’ Rule, necessary to understand how uncertainty is modeled.

WEEK 5
Research as an Exercise in Uncertainty Quantification (UQ)
In this module, you will learn how the research process relates to uncertainty quantification. You will learn how to pose the research process through Bayesian hypothesis testing. You will learn how to develop a hypothesis and design a plan to test it using UQ methods.

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

Related Courses

Combinatorics and Probability (Coursera) Coursera
University of California, San Diego,Higher School of Economics - HSE University

Combinatorics and Probability (Coursera)

Counting is one of the basic mathematically related tasks we encounter on a day to day basis. The main question here is the following. If we need to count something, can we do anything better than just counting all objects one by one? Do we need to create a list of all phone numbers to ensure that there are enough phone numbers for everyone? Is there a way to tell that our algorithm will run in a reasonable time before implementing and actually running it? All these questions are addressed by a mathematical field called Combinatorics.

Nov 2nd 2026
5-12 Weeks
Whole genome sequencing of bacterial genomes - tools and applications (Coursera) Coursera
Technical University of Denmark - DTU

Whole genome sequencing of bacterial genomes - tools and applications (Coursera)

This course will cover the topic of Whole genome sequencing (WGS) of bacterial genomes which is becoming more and more relevant for the medical sector. WGS technology and applications are high on international political agenda, as the classical methods are being replaced by WGS technology and therefore bioinformatic tools are extremely important for allowing the people working in this sector to be able to analyze the data and obtain results that can be interpreted and used for different purposes.

Nov 2nd 2026
5-12 Weeks
Effectuation: Lessons From Expert Entrepreneurs (Coursera) Coursera
University of Virginia

Effectuation: Lessons From Expert Entrepreneurs (Coursera)

Have you ever wondered what it would be like to be an entrepreneur? To start new ventures, build and grow them, be your own boss, create good jobs for other people, make money, and change the world for the better? Do you dream about becoming an entrepreneur but worry that it may be too difficult, require more resources than you have, or involve too much responsibility? Do you fear you don’t have what it takes, or that you might fail not just once, but over and over again?

Nov 16th 2026
4 Weeks
Try RRI! A guide for Responsible Research and Innovation (Coursera) Coursera
University of Amsterdam

Try RRI! A guide for Responsible Research and Innovation (Coursera)

In this online course you will learn how to apply Responsible Research and Innovation (RRI) in your own work. First by understanding why it is important to act responsibly in your research and innovation processes at all. In a second step, you will get introduced to several tools that will help make your own work in research and/or innovation more aware by introducing concepts of RRI.

Nov 9th 2026
3 Weeks
Frozen in the Ice: Exploring the Arctic (Coursera) Coursera
University of Colorado Boulder

Frozen in the Ice: Exploring the Arctic (Coursera)

Why would hundreds of scientists from around the world intentionally freeze a ship in Arctic sea ice for an entire year, braving subzero temperatures and months of polar darkness? This may sound like a fictional adventure movie plot, but from September 2019 through October 2020, the MOSAiC (Multidisciplinary drifting Observatory for the Study of Arctic Climate) Arctic research expedition did just this.

Nov 16th 2026
5-12 Weeks
Pre-MBA Statistics (Coursera) Coursera
Indian Institute of Management Ahmedabad (IIMA)

Pre-MBA Statistics (Coursera)

Welcome to the Pre-MBA Statistics course! By the end of this course, you will be able to describe how statistics can be used to summarize, analyze, and interpret data. This course introduces you to some aspects of descriptive and inferential statistics. You will learn to distinguish between various data types and describe the operations that you can execute with each type of data and the right tools to use.

Nov 9th 2026
5-12 Weeks
Managing Uncertainty in Marketing Analytics (Coursera) Coursera
Emory University

Managing Uncertainty in Marketing Analytics (Coursera)

Marketers must make the best decisions based on the information presented to them. Rarely will they have all the information necessary to predict what consumers will do with complete certainty. By incorporating uncertainty into the decisions that they make, they can anticipate a wide range of possible outcomes and recognize the extent of uncertainty on the decisions that they make. In Incorporating Uncertainty into Marketing Decisions, learners will become familiar with different methods to recognize sources of uncertainty that may affect the marketing decisions they ultimately make.

Nov 2nd 2026
4 Weeks
Media ethics & governance (Coursera) Coursera
University of Amsterdam

Media ethics & governance (Coursera)

This course explores some of the basic theories, models and concepts in the field of media ethics. We will introduce influential ethical theories and perspectives, explore changing societal demands and expectations of media creation and media use, and we will elaborate on existing ethical norms for media professionals. After following this course, you will be able to reflect on ethical dilemmas and develop a well-substantiated argumentation for ethical decision making in a variety of media-related contexts.

Nov 16th 2026
4 Weeks
Fundamentals of Engineering Exam Review (Coursera) Coursera
Georgia Institute of Technology

Fundamentals of Engineering Exam Review (Coursera)

The purpose of this course is to review the material covered in the Fundamentals of Engineering (FE) exam to enable the student to pass it. It will be presented in modules corresponding to the FE topics, particularly those in Civil and Mechanical Engineering. Each module will review main concepts, illustrate them with examples, and provide extensive practice problems.

Nov 2nd 2026
5-12 Weeks