HSE and University of California at San Diego Offer New Specialization on Coursera
The Higher School of Economics has teamed up with the University of California at San Diego (ranked 14th on the ARWU ranking, 41st on THE, and 59th on QS) to launch the new Data Structures and Algorithms specialization on Coursera. The specialization is taught completely in English and consists of five interrelated courses. Registration is open until March 7.
This specialization is part of a new practice-oriented course format being offered on Coursera. Each specialization consists of several different short courses that give students the knowledge needed to solve various practical tasks.
‘Only universities that make it through Coursera’s competitive selection process can create their own specialization. We were not initially planning to submit an application to take part in the competition to create the specialization; but our colleagues from the University of California, San Diego suggested that we partner up to create the Data Structures and Algorithms specialization. This is because of the high level of academic research that the HSE Faculty of Computer Science carries out in the field of scalable algorithms for big data processing,’ notes Evgenia Kulik, Director for eLearning at HSE.
One of the specialization’s objectives is to teach students to solve the algorithmic tasks that oftentimes come up at technical interviews for Google, Facebook, Microsoft, Yandex, and other leading IT companies. Upon successfully completing the course, students are not only able to design and evaluate complex algorithms from a theoretical perspective, but they also develop a deep understanding of algorithms and learn how to create data structures suitable for the programming languages that they themselves know and use.
To take the classes, participants need to know at least one of programming languages – C/C++, Java, or Python – and also be familiar with basic mathematical concepts such as mathematical induction and the method of proof by contradiction.
One advantage of the course is the large number of programming tasks that require students to apply the algorithms and data structures that they have learned about. They also become skilled at combining several concepts at once to apply them to their chosen programming language. This is essential in developing a true understanding of the course material.
‘Participants will definitely be putting all of the algorithms and data structures that they cover into practice, as this is the only way you can understand how important all of an algorithm’s characteristics are, even if this seemed obvious at first,’ comments Mikhail Levin, one of the specialization’s creators and an instructor in the HSE Faculty of Computer Science. ‘In addition, throughout the specialization, we will introduce participants to not only classical algorithms and data structures, but also to several advanced topics and contemporary algorithms that are used to process big data,’ Levin notes.
Another unique feature of the specialization is that students are given the opportunity to chose between two Capstone Projects, developed in partnership with industry leaders – the Russian corporation Yandex and the Computer Science Center. Students will learn how to compute the fastest route between New York and Mountain View thousands of times faster than classic algorithms and similar to those used in Google Maps. In the Bioinformatics Capstone, participants learn how to assemble genomes from millions of short pieces and how algorithms have been fuelling recent developments in personalized medicine.
As part of the Moscow International Education Fair, Russian Prime Minister Dmitry Medvedev met with students who won medals at the biggest programming competition in the world. This global contest recently reached its conclusion in Portugal, and the prize winners include HSE’s Faculty of Computer Science team.
HSE’s Online Specialization ‘Advanced Machine Learning’ Receives Outstanding Educator Award from Coursera
HSE's English-taught online specialization, ‘Advanced Machine Learning’, which was created in partnership with Yandex, became the first course in Russia to receive the Outstanding Educator Award in the category of ‘Innovation’ from the global online platform Coursera.
On February 24, 2014, HSE launched its first course on the Coursera online education platform. Along with St. Petersburg State University and the Moscow Institute of Physics and Technology, HSE was one of the first Russian universities to host a course on the platform. Now HSE ranks among the top ten universities with the highest number of courses available on the platform, offering 91 courses which have garnered 1.6 million subscriptions.
Global online platform Coursera has launched the Data Science Academy project - a guide to the world of data science with a selection of the best online courses, specializations, and online master's programmes from world leading companies and universities. The English online course ‘Advanced Machine Learning’, developed by HSE in cooperation with Yandex is among the Academy's courses.
On December 1st and 2nd, the semifinals of the International Collegiate Programming Contest (ICPC) for teams from the Northern Eurasia region were held. HSE teams from St. Petersburg (8th place) and the Moscow-based Faculty of Computer Science (13th place) received first class certificates. Furthermore, the teams will represent HSE at the finals, which will be held in Portugal next year.
In late October, students from the HSE School of Business Informatics organised the second Major League Hacking (MLH) hackathon hosted in Moscow. The participants of the event, which include students and alumni of Russian and foreign universities, developed IT solutions for Russian companies.
In July, HSE is launching two English-taught courses on Coursera. Enrollement for the courses is still open. The full list of online courses offered by HSE is available on HSE MOOCs page.
Artur Davletshin, fourth-year student in Informatics and Computer Hardware and Software at MIEM HSE (supervisor Aleksandr Romanov, Associate Professor at the School of Computer Engineering) has won a scholarship for the Apple Worldwide Developers Conference (WWDC). Artur will attend the WWDC in San Jose, California, from June 4 – 8.
HSE has announced the winners of the Academicus Modus competition of student projects. They will receive a year-long grant for their research, the results of which will be published in an academic journal.