Atlas of Human Anatomy- Bergman, Ph.D.


FREE ANATOMY ON-LINE CLASSES by Bergman, Ph.D.

“This atlas is translated from the original atlas entitled “Handbuch der Anatomie des Menschen” which was published in 1841 in Leipzig, Germany. The author of this atlas was Professor Dr. Carl Ernest Bock, who lived from 1809-1874.”

Mission and Goal of this Link PublicationL http://www.anatomyatlases.org/misc/aboutus.shtml

Please click here to access the FREE lessons on human anatomy

 

 

References

May I link to Anatomy Atlases? Yes, please feel free to link to Anatomy Atlases and to publicize it.

http://www.anatomyatlases.org/misc/faq.shtml

 

Anatomy & Physiology


Weekly Calendar: Don’t forget, we have a quiz on Friday on Chapters 4-6

 

Introduction + Lecture 01 + Lecture 02

Required Readings

Lecture Notes

Anatomy of the Human Body
by: Henry Gray

“The Bartleby.com edition of Gray’s Anatomy of the Human Body features 1,247 vibrant engravings—many in color—from the classic 1918 publication, as well as a subject index with 13,000 entries ranging from the Antrum of Highmore to the Zonule of Zinn.” https://www.bartleby.com/107/

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Lecture 03 + Quiz + Group Projects Starting

Video Example

Required Readings

Lecture Notes

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Lecture 04 + Lecture 05 + Quiz Scores

Required Readings

Lecture Notes

Lecture Notes

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Midterms Review + Group Project Drafts Due

Required Readings

Lecture Notes

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Midterm Study Guide

Required Readings

Lecture Notes

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Midterm Review + Lecture 09

Required Readings

Lecture Notes

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Lecture 10 + Lecture 11 + Lecture 12

Required Readings

Lecture Notes

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Lecture 13 + Lecture 14 + Lecture 15

Required Readings

Lecture Notes

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Final Study Guide

Required Readings

Lecture Notes

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Group Projects Due + Finals Review

Required Readings

Lecture Notes

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HOU-218.01- Single-Variable Calculus- Version A- Calculus Part I- Free Course


This is a free course given by MIT under The

Creative Commons License

Single Variable Calculus

Secant approximation mathlet from the d’Arbeloff Interactive Math Project. Image courtesy of Haynes Miller, Heidi Burgiel, and J.-M. Claus.

Reference: David Jerison. 18.01SC Single Variable Calculus. Fall 2010. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: Creative Commons BY-NC-SA.

Level

Undergraduate

Course Features

Course Description

This calculus course covers differentiation and integration of functions of one variable, and concludes with a brief discussion of infinite series. Calculus is fundamental to many scientific disciplines including physics, engineering, and economics.

Course Format

Click to get started.This course has been designed for independent study. It includes all of the materials you will need to understand the concepts covered in this subject. The materials in this course include:

  • Lecture Videos with supporting written notes
  • Recitation Videos of problem-solving tips
  • Worked Examples with detailed solutions to sample problems
  • Problem sets with solutions
  • Exams with solutions
  • Interactive Java Applets (“Mathlets”) to reinforce key concepts

 

David Jerison. 18.01SC Single Variable Calculus. Fall 2010. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: Creative Commons BY-NC-SA.

HOU 18.02 Multi-Variable Calculus- Calculus Part II – Free Course


Multivariable Calculus offered by MIT under the Creative Commons License

Course Home

OCW Scholar

Graph of an eighth of a sphere.

Directional derivatives for functions of two variables. (Image courtesy of John B. Lewis.)

Instructor(s)

Prof. Denis Auroux

Level

Undergraduate

Cite This Course. 

Reference: https://ocw.mit.edu/courses/mathematics/18-02sc-multivariable-calculus-fall-2010/#

Course Features

Course Description

This course covers differential, integral and vector calculus for functions of more than one variable. These mathematical tools and methods are used extensively in the physical sciences, engineering, economics and computer graphics.

Course Formats

Click to get started.The materials have been organized to support independent study. The website includes all of the materials you will need to understand the concepts covered in this subject. The materials in this course include:

  • Lecture Videos recorded on the MIT campus
  • Recitation Videos with problem-solving tips
  • Examples of solutions to sample problems
  • Problem for you to solve, with solutions
  • Exams with solutions
  • Interactive Java Applets (“Mathlets”) to reinforce key concepts

5.112 Principles of Chemical Science- Chemistry


Principles of Chemical Science

Linear combinations of atomic orbitals for tetrahedral methane.

Linear combinations of H 1s atomic orbitals that match nodal properties of C 2p atomic orbitals for tetrahedral methane. (Figure by MIT OpenCourseWare.)

MIT Course Number

5.112

Level

Undergraduate

Translated Versions

 

Cite This Course

Need help getting started? Or do you need help with this particular subject. Please contact us for tutoring lessons.

Course Features

Course Description

5.112 is an introductory chemistry course for students with an unusually strong background in chemistry. Knowledge of calculus equivalent to MIT course 18.01 is recommended. Emphasis is on basic principles of atomic and molecular electronic structure, thermodynamics, acid-base and redox equilibria, chemical kinetics, and catalysis. The course also covers applications of basic principles to problems in metal coordination chemistry, organic chemistry, and biological chemistry.

Computer Science and Molecular Biology Masters


Computer Science and Molecular Biology

As taught by MIT

  • we do not have any association with MIT other than to display their OCW courseware in our univeristy under the Creative Commons License.

Master of Engineering in Computer Science and Molecular Biology (Course 6-7P)

The Department of Biology and the Department of Electrical Engineering and Computer Science (EECS) offer a joint curriculum that focuses on the emerging field of computational and molecular biology. The curriculum provides strong foundations in both biology and computer science and features innovative, integrative, capstone, and elective subjects. The goal is to produce an entirely new cadre of graduates who are uniquely qualified to address the challenges and opportunities at the interface of computational and molecular biology. Students in the program are full members of both departments and of two schools, Science and Engineering, with one academic advisor from each department.

The Master of Engineering in Computer Science and Molecular Biology program builds on the Bachelor of Science in Computer Science and Molecular Biology program (Course 6-7), which prepares students for careers that leverage computational biology (e.g., pharmaceuticals, bioinformatics, medicine, etc.) as well as further graduate study in biology, in computer science, and in emerging programs at the interface of these fields. The master’s program provides additional depth in computational and/or molecular biology through coursework and a substantial thesis. The student selects (with departmental review and approval) 42 units of advanced graduate subjects, which include two concentration subjects in biology and/or computational biology plus a third subject in electrical engineering and computer science and/or biology. A further 24 units of electives are chosen from a restricted departmental list of math electives.

The Master of Engineering degree also requires 24 units of thesis credit. While a student may register for more than this number of thesis units, only 24 units count toward the degree requirement.

Recipients of a Master of Engineering degree normally receive a Bachelor of Science degree simultaneously. No thesis is explicitly required for the Bachelor of Science degree. However, every program must include a major project experience at an advanced level, culminating in written and oral reports. Normally, the thesis for the Master of Engineering degree will provide this experience for students receiving both degrees simultaneously.

Programs leading to the five-year Master of Engineering degree or to the four-year Bachelor of Science degree can be arranged to be identical through the junior year. At the end of the junior year, students with a strong academic record will be offered the opportunity to continue through the five-year master’s program. A student in the Master of Engineering program must be registered as a graduate student for at least one regular (non-summer) term. To remain in the program and to receive the Master of Engineering degree, students will be expected to maintain a strong academic record. Admission to the Master of Engineering program is open only to undergraduate students who have completed their junior year in the Course 6-7 Bachelor of Science program.

Financial Support

The fifth year of study toward the Master of Engineering degree can be supported by a combination of personal funds, an award such as a National Science Foundation Fellowship, a fellowship, or a graduate assistantship. Assistantships require participation in research or teaching in the department or in one of the associated laboratories. Full-time assistants may register for no more than two scheduled classroom or laboratory subjects during the term, but may receive academic credit for their participation in the teaching or research program. Support through an assistantship may extend the period required to complete the Master of Engineering program by an additional term or two. Support is granted competitively to graduate students and will not be available for all of those admitted to the Master of Engineering program. If provided, department support for Master of Engineering candidates is normally limited to the first three terms as a graduate student, unless the Master of Engineering thesis has been completed or the student has served as a teaching assistant or has been admitted to the doctoral program, in which cases a fourth term of support may be permitted.