Courses On Mathematical Thinking Now Underway |

Written by Sue Gee | ||||||||||||||||||||||||

Monday, 30 April 2018 | ||||||||||||||||||||||||

Two courses related to mathematical thinking, both on the Coursera platform, start on April 30th. One at intermediate level is 10 weeks long. The other aimed at beginners is 6 weeks long and is part of a 5-course specialization designed for computer scientists. On I Programmer we take every opportunity to repeat the message that learning to programming has the huge spin-off benefit that it teaches you to think like a programmer, a skill that extends to everything else you tackle. The same is true of mathematical thinking. It enables you look at problems from a different angle. Put the two together and it's a winning combination. This premise has motivated University of California, San Diego to join forces with the Higher School of Economics of Russia's National Research University to create
There are minimal prerequisites regarding math - you to know what a square is and how to add fractions- plus The outline for the entire specialization explains:
The description of the first course,
Having watched its introductory videos, following the Audit option, the course seems to be fun, but to get the most out of it would require paying to be enrolled to be able to submit puzzles and assignments. Coursera offers a 7-day free trial after which there's a monthly subscription which gives unlimited access to all courses in the specialization. All courses in it are running concurrently and as one only requires between 2 and 5 hours of effort a week keen students should be able to complete the entire specialization in less time than the following schedule suggests:
Although it is only a single course Introduction to Mathematical Thinking requires around the same time commitment 10 weeks with around 10 hours of effort per week. It is a free course although it does offer a certificate you can purchase on successful completion should you want one. According to instructor Dr. Keith Devlin this course for Stanford University was designed with two particular audiences in mind:
This is one of the Stanford-originated MOOCs included in Coursera's early catalog of courses that appeared to be under threat of permanent removal when Coursera moved to its new platform. Luckily it was reinstated on the new platform as a free standalone course rather than being subject to a monthly subscription. While this is a welcome situation it isn't as well supported as other courses. It can be treated as a self paced course but having an official starting date gives cohorts of students the opportunity to work though it together and helping each other out via the discussion forum and even via social media such as Facebook. Students are advised in the introductory lecture to form study groups and work together, but as former students have pointed out in comments this isn't always an option. In terms of the number of students who have enrolled this comes in at number 50 in Class Central ranking of The 50 Most Popular MOOCs Of All Time with 86.2K enrollees between March 2013 and end 2017 when the last snapshot of this moving target was taken. In terms of student satisfaction it ranks highly with a rating of 4.8 out of 5 for the new-platform version of the course so students certainly appreciate it on the whole. edX lists the level of this course as Intermediate but, in the early weeks of the course, high school maths will be sufficient. In fact Keith Devlin starts off with little in the way of math equations and focuses on the use of language in maths, moving on to proofs in week 5 and then to Number Theory in week 7 and Real Analysis in week 8, the final week of instruction, One clue to what you can expect is that one aim of the course is to get you to "think outside the box" - a skill that every innovative developer needs to acquire. ## More InformationIntroduction to Discrete Mathematics for Computer Science Specialization Introduction to Mathematical Thinking ## Related ArticlesDoes Math Help Programming Or Programming Help Math? Programming - A Life Long Challenge Coursera Relaunches Classic Computer Science Courses Stanford Algorithm MOOCs Relaunched
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Last Updated ( Monday, 30 April 2018 ) |