About this Course

3,114 recent views

Modern engineering research focuses on designing new materials and processes at the molecular level. Statistical thermodynamics provides the formalism for understanding how molecular interactions lead to the observed collective behavior at the macroscale. 
This course will develop a molecular-level understanding of key thermodynamic quantities like heat, work, free energy and entropy. These concepts will be applied in understanding several important engineering and biological applications.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 10 hours to complete

English

Subtitles: French, Portuguese (European), Russian, English, Spanish

Instructor

Venkat Viswanathan

Assistant Professor

Mechanical Engineering

11,450 Learners

1 Course

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 10 hours to complete

English

Subtitles: French, Portuguese (European), Russian, English, Spanish

Syllabus - What you will learn from this course

Week

1

Week 1

1 hour to complete

Theory: Classical Thermodynamics

1 hour to complete

4 videos (Total 40 min)

Week

2

Week 2

2 hours to complete

Theory: Introduction to Statistics and Statistical Thermodynamics

2 hours to complete

2 videos (Total 18 min)

Week

3

Week 3

1 hour to complete

Theory: Non-interacting systems

1 hour to complete

5 videos (Total 50 min)

Week

4

Week 4

1 hour to complete

Theory: Interacting systems

1 hour to complete

3 videos (Total 30 min)

Reviews

3.9

9 reviews

5 stars
42.85%
4 stars
35.71%
3 stars
4.76%
2 stars
2.38%
1 star
14.28%

TOP REVIEWS FROM STATISTICAL THERMODYNAMICS: MOLECULES TO MACHINES

by SSJun 30, 2018

This course is advanced level stuff.You got to have high understanding of probability distributions and also a lot of integral calculus is required.

by HKApr 23, 2017

Not bad, but would be better if the course could explain more on the details.

View all reviews

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I purchase the Certificate?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved. Learn more.
Will I earn university credit for completing the Course?
This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

More questions? Visit the Learner Help Center.

Statistical Thermodynamics: Molecules to Machines