Coursera Old Stack Courses (List Organized by Class Central)
Lists Coursera courses from the old stack that were available before the platform's transition in 2016. The spreadsheet includes course names, descriptions, and URLs for course material and reviews on Class Central. Notable entries include 'Probabilistic Graphical Models' and 'Natural Language Processing,' along with their respective links for accessing course content. Updates on course availability and links are also provided, making it a valuable resource for those interested in these specific courses.
Content article
Coursera's old stack courses include a comprehensive list of 60 courses that were part of the platform before its transition to a new on-demand format, with the shutdown date set for June 30, 2016. Among these, "Probabilistic Graphical Models" stands out with its course page located at https://www.coursera.org/course/pgm and material accessible through https://class.coursera.org/pgm-003/lecture. This course is associated with several slugs: pgm, pgm-2012-002, and pgm-003, and it has a Class Central course page for reviews at https://www.class-central.com/mooc/309/coursera-probabilistic-graphical-models.
Another notable course is "Natural Language Processing," available at https://www.coursera.org/course/nlp, with a Class Central link at https://www.class-central.com/mooc/836/coursera-natural-language-processing. It shares slugs with its earlier versions: nlp and nlp-002. "Introduction to Databases," found at https://www.coursera.org/course/db, also has a Class Central page at https://www.class-central.com/mooc/303/coursera-introduction-to-databases, emphasizing its relevance in database education.
Courses like "Computer Science 101" and "Automata" are included, with "Computer Science 101" accessible at https://www.coursera.org/course/cs101 and featuring multiple slugs such as cs101, cs101-002, and cs101-selfservice. The corresponding Class Central page is https://www.class-central.com/mooc/375/coursera-computer-science-101. "Automata," on the other hand, can be found at https://www.coursera.org/course/automata, with its Class Central link at https://www.class-central.com/mooc/376/coursera-automata.
The list continues with "Introduction to Logic," which has a dedicated course page at https://www.coursera.org/course/intrologic and is linked to a Class Central review page at https://www.class-central.com/mooc/329/coursera-introduction-to-logic. This course is associated with a variety of slugs, including intrologic and its numerous iterations from 2012 to 2016.
In the realm of security, "Computer Security" is available at https://www.coursera.org/course/security, while "Game Theory" can be accessed at https://www.coursera.org/course/gametheory, both featuring their respective Class Central pages. "Computer Architecture" and "Statistics One" are also part of this collection, with links to their course pages and Class Central reviews highlighting their educational value.
Courses covering health topics include "Health Policy and the Affordable Care Act," available at https://www.coursera.org/course/healthpolicy, and "Vaccines," found at https://www.coursera.org/course/vaccines, both of which have corresponding Class Central links for further exploration.
The list also features unique offerings such as "Neuroethics" at https://www.coursera.org/course/neuroethics and "Vaccine Trials: Methods and Best Practices" at https://www.coursera.org/course/vacctrials, showcasing the diversity of subjects covered in the old stack.
Additionally, "E-learning and Digital Cultures" at https://www.coursera.org/course/edc and "Programming Languages" at https://www.coursera.org/course/proglang reflect the platform's commitment to a wide range of learning opportunities, with each course linked to its respective Class Central page for reviews and related courses.
This extensive list of courses, spanning various disciplines, provides a rich resource for learners seeking to explore foundational topics across multiple fields, all while maintaining access to valuable course materials and community insights through Class Central.