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CalTech Course Catalog – California Institute of Technology

This article provides viewers with a Caltech Course Catalog that contains a variety of courses offered by the Caltech – California Institute of Technology. Takethiscourse.net has handpicked best 8 online courses from the Caltech Course Catalog that can be taken by any user interested.

In order to help our readers in taking a knowledgeable learning decision, TakeThisCourse.net has introduced a metric to measure the effectiveness of an online course. Learn more about how we measure an online course effectiveness.

Caltech – California Institute of Technology:

The California Institute of Technology which is mostly known as Caltech is a research-based University that is located in Pasadena, California. This private university was established in the year 1891 and has six academic divisions that strongly emphasize on engineering and science.

  • Biology and Biological Engineering.
  • Chemistry and Chemical Engineering.
  • Engineering and Applied Science.
  • Geological and Planetary Sciences.
  • Humanities and Social Sciences.
  • Physics, Mathematics, and Astronomy.

Caltech Course Catalog:

The Caltech Course Catalog contains course listings the details of which are given below:

The Evolving Universe

      • via Coursera
      • 41 hours of effort required
      • 62,120 already enrolled!
      • ★★★★★ (647 Ratings)
Online Course Effectiveness Score
ContentEngagementPracticeCareer Benefit
Good
★★★★☆
Good
★★★★☆
Fair
★★★☆☆
Fair
★★★☆☆

This course is an introductory astronomy survey class and will help learners to understand what the physical universe is and how it evolved. With the course, various topics regarding the physical universe will be discussed like what are its major constituents, what are the different telescopes, what are fluxes and magnitudes, what is blackbody radiation and other continuum emission mechanisms and much more will be discussed in the course. At the end of each week of the course contains self-test questions that will help learners evaluate their understanding of their own. Thus the course is very engaging yet challenging. Search for courses at UC Davis tailored to your interests.

It was an advantage to hear the work of Cosmology from this teacher. He dove into incredibly progressed points in Cosmology while dodging advanced mathematics. However, he was showing the sort of observations that upheld the speculations and giving basic models to allow interaction with the implications of the theories (Alan R, ★★★★★).

The Science of the Solar System

      • via Coursera
      • 46 hours of effort required
      • 55,612 already enrolled!
      • ★★★★★ (609 Ratings)
Online Course Effectiveness Score
ContentEngagementPracticeCareer Benefit
Good
★★★★☆
Good
★★★★☆
Good
★★★★☆
Fair
★★★☆☆


In this free course, learners will get a chance to find out the science that is behind the current exploration of the solar system. The instructor will explain how to use different principles from physics, chemistry, geology, and biology so as to understand about Mars, comprehend the outer solar system, search for habitability and much more. Different topics like the insides of giant planets, big questions from small bodies, life in the solar system, water or Mars and much more will be taught. Thus this interesting course will help learners understand everything about the solar system in a precise manner. Explore our detailed guide to Discovering MIT’s Latest Courses and find the perfect ones for your learning journey.
Brown is a stunning instructor who can clarify complex ideas plainly. He utilizes information from past and present primary scientific research on relevant discoveries. The quizzes not only depend upon to recall, in fact, it asks you to apply the concepts. I’ve taken this course on different occasions on the grounds that it’s simply that acceptable. The course, itself gets updated occasionally (Kristy H, ★★★★★).

Principles of Economics with Calculus

      • via edX
      • 6-8 hours of weekly effort (10 Weeks)
      • Level: Intermediate

This course has a quantitative and model-based introduction about the basic ideas that revolve in economics and all its applications to a wide range of real-world problems. With this course, learners will understand, analyze and apply different calculus-based economic models, will receive an elaborated in-depth understanding of the basic economics and all its applications, will be able to translate the different economic principles to investigate a wide range of real-world problems and more. Thus the course will provide learning material in such an elaborated manner that will leave learners with a clear mind and understanding about economics. You can also checkout Ivy League Math courses with certificates.

With this course, you can get to learn about basic economic principles. You will be explained how to apply the basic economic principles. Also, you will be able to analyze calculus-based economic models. The obtained skills in this course will help you to translate economic principles to the investigation of a wide range of real-world problems.

Pricing Options with Mathematical Models

      • via edX
      • 8-10 hours of weekly effort (10 Weeks)
      • Level: Advanced

This course will introduce you to options and other financial derivatives. Moreover, you will learn about their applications to risk management. The information gained through this course will later help you to evaluate the economics and mathematics behind the financial models presented. You will also get to know about the modeling of interest rates and fixed income derivatives.

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Getting started in cryo-EM

      • via Coursera
      • 17 hours of effort required
      • 19,148 already enrolled!
      • ★★★★★ (257 Ratings)
Online Course Effectiveness Score
ContentEngagementPracticeCareer Benefit
Good
★★★★☆
Fair
★★★☆☆
Fair
★★★☆☆
Fair
★★★☆☆

With this course, what will be covered are the different fundamental principles that are essential to cryo-electron microscopy. The course will start with the basic anatomy of the electron microscopes then will give an introduction to what Fourier transforms are. Further, the principles of image formation will also be discussed by the instructor. After the discussion of all these concepts, next comes the sample preparation issues, the different data collection strategies, and the basic images processing workflows for all 3 modalities of modern cryo-EM will be discussed. Thus taking this course will be fun and engaging but also at the same time challenging.

A phenomenal course that comprehends the field of cryogenic Electron Microscopy. The math in it is introduced at a significant level, often geometrically, without getting into details. The physics of the electron magnifying lens is introduced again at a significant level. The training style is very much paced and inviting (Gary U, ★★★★★).

This course actually quite supportive for me as a beginner. Succeeding in learning the video, I sort of understand what’s happening when I got the preparation of TEM. Much appreciated for the free video (Shijian Z, ★★★★★).

Quantum Cryptography

      • via edX
      • 6-8 hours of weekly effort (10 Weeks)
      • Level: Advanced

This course will help learners understand quantum communication and what type of security it provides that is guaranteed by the laws of nature. At the end of the course, learner’s minds will be filled with different concepts like a complete understanding of the quantum key distribution protocols, understanding of how we can test untrusted quantum devices, what is modern quantum cryptography and much more. Thus this interdisciplinary course is an exciting way for learners to understand quantum cryptography.

This course revolves around the fundamental ideas of quantum cryptography. You will get an idea to use quantum effects, such as quantum entanglement and uncertainty. This course will provide you with a solid knowledge of linear algebra and probability. By the end of the course, you will know everything about untrusted quantum devices. Visit for MIT Course listings here.

Machine Learning

      • Stanford University via Coursera
      • 64 hours of effort required
      • 2,975,908+ students enrolled
      • ★★★★★ (129,908 Ratings)

Learning From Data (Introductory Machine Learning)

      • via edX
      • 10-20 hours of weekly effort (10 Weeks)
      • Level: Introductory

This introductory machine learning course is focused on a real understanding of the theory, algorithms and other applications behind machine learning. By the end of the course, the learner would have identified the basic theoretical principles, applications and algorithms of machine learning, what is the connection between theory and practice in machine learning, what are the mathematical and heuristic aspects of the machine learning and their applications and how can they be mastered and much more. Thus this course will help learners end with all the important details of machine learning in a very organized manner. You might also be interested in Machine Learning courses.

This course is a computer science course that will provide you with the knowledge of machine learning. With the help of this course, you can cover topics about basic theory, algorithms, and its applications. You will get to know the heuristic aspects of Machine Learning and its applications.

Drugs and the Brain [Course is not Available]

      • via Coursera
      • Taught by: Henry A. Lester, PhD
      • 21,284 already enrolled!

With these drugs and the brain course, learners are going to understand the neuroscience of drugs for therapy, its prevention, and recreation. What is drug addiction and abuse and how it can be completely controlled and prevented, what are the prospects for new generations of medications in different areas like neurology, aging, psychiatry and the treatment of substance abuse are some of the topics explained in the course. Different techniques for studying a brain, introduction to drug receptors, different qualitative and quantitative approaches regarding the dose-response relations and much more will also be discussed. So take this course now and learn everything about drugs and the brain in the comfort of your home.

Thus these top 8 courses can be taken by anyone from the CalTech Course Catalog according to the related field. So all you need to do is visit the Caltech Coursera page and look for all details for yourself and never stop learning.

Deep Learning Specialization

      • deeplearning.ai via Coursera
      • 96 hours of effort required
      • 305,958+ students enrolled
      • ★★★★★ (202,442 Ratings)

IBM AI Engineering Professional Certificate

      • IBM via Coursera
      • 128 hours of effort required
      • 11,497+ students enrolled
      • ★★★★☆ (8,314 Ratings)
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