HSE Launches Two New Specializations in Computer Science on Coursera
‘Introduction to Discrete Mathematics for Computer Science’ and ‘Advanced Machine Learning’ are English-language specializations, both created with the support of the top Russian IT firm Yandex, while the specialization ‘Introduction to Discrete Mathematics for Computer Science’ was developed with the involvement of the University of California at San Diego.
The authors of ‘Introduction to Discrete Mathematics for Computer Science’ are Mikhail Levin (HSE, Yandex), Vladimir Podolskii (HSE), Alexander Kulikov (University of California, San Diego), and Alexander Shen, Guest Lecturer from the French National Center for Scientific Research (CNRS).
In addition to the study of mathematical aspects, the authors aim to help students understand the nature of proof from a mathematical point of view.
‘It is important that students learn about different methods and ideas of reasoning, as well as the ability to distinguish proofs and infer their own ones,’ says Vladimir Podolskii, Head of the Big Data and Information Retrieval School. He notes: ‘It’s not a trivial problem to teach these skills online, as there are fewer opportunities for feedback than during full-time courses. Bearing this in mind, we have included interactive tasks and puzzles in our courses. It’s interesting experience to solve them, as they make you think about the possibilities of a particular structure, see the obstacles to developing arguments or models, and notice key ideas, which later can be transformed into proofs.’
The ‘Advanced Machine Learning’ specialization was developed by a team of 22 expert authors. It includes seven courses.
The first course, ‘Introduction to Deep Learning’, introduces students to deep neural networks and their architectures for the overall purpose of analyzing images and texts. Other courses within this specialization are connected with this concept in one way or another.
Furthermore, three courses ‘Introduction to Reinforcement Learning’, ‘Deep Learning for Computer Vision’ and ‘Natural Language Processing’ are dedicated to specific issues related to machine learning.
The course ‘Bayesian Methods for Machine Learning’, which was created with the support of the International Laboratory of Deep Learning and Bayesian Methods, provides instruction on the basics of the Bayesian approach and its possible applications for training and developing deep neural networks.
Furthermore, two courses are focused on practical issues. For instance, while studying the course ‘How to Win a Data Science Competition: Learn from Top Kagglers’, the winners of competitions in data analysis speak about using advanced machine learning methods and the best ways of achieve optimal results in practical tasks. For instance, when taking part in the ‘Addressing Large Hadron Collider Challenges by Machine Learning’ course, students learn approaches to solving complex tasks, which often might not work with standard machine learning methods, or whereby the subject may require very specific models. In particular, students get to investigate and analyze data from the Large Hadron Collider.
‘Data science is rapidly developing, and education doesn’t always catch up,’ says Evgeny Sokolov, Deputy Head of the Big Data and Information Retrieval School. He states: ‘At the start of 21st century, classic machine learning methods were successfully used in business, but courses in machine learning have only become widespread in recent years. Certain new areas, for example, deep learning or reinforcement learning, are only now emerging and appearing in university programmes. And with our specialization, students can learn about the latest advances in artificial intelligence, as well as be capable of applying the latest machine learning methods and gain experience in solving problems with respect to non-standard situations.’
HSE University and Coursera are bringing together the world’s leading researchers, professionals, education and technology leaders, and business community representatives for the fourth international research conference eLearning Stakeholders and Researchers Summit 2021 (eSTARS). This topic of this year’s summit, which will run from December 1–2, 2021,is ‘Digital Transformation: Global Challenges to the Education System’.
In September 2021, HSE University’s Faculty of Informatics, Mathematics and Computer Science at HSE Nizhny Novgorod launched the new applied degree programme Master of Computer Vision. Developed in collaboration with leading experts in the field of computer vision - Huawei, Itseez3D, Intel, Harman, and Xperience.ai – the programme is available on the Coursera platform and open to applicants from all over the world. Andrey Savchenko, Academic Supervisor of the new programme, talked to The HSE Look about how it came to be and what are its advantages.
A new Digital Literacy course created as part of the university-wide Data Culture project has been launched on Coursera. The syllabus includes ten modules developed by experts in relevant fields. Eleven authors worked on this English-taught course.
The English-language course ‘Europe and the World, ca. 1500 to 1914’ has launched on Coursera. Its author, Andrey Iserov, Deputy Dean for International Affairs at the HSE Faculty of Humanities, examines a historical span of four centuries during which European states reached the peak of their economic, military, and political power. Students of the course will learn how the independence of Hispanic America by the mid-1820s influenced China, what caused the religious schism in Western Christianity in the 16th century, and how European colonial policy developed.
The English-taught fully online Master of Business Analytics is offered by HSE University on Coursera in partnership with the AICPA Association. The first cohort will start their classes in September 2021. The programme aims to train a new generation of finance leaders. Working together with AICPA Association allows HSE University to significantly expand the range of educational options available to students.
HSE Master’s programmes in four new specializations are now available on Coursera in the fields of business analysis, finance, and computer science. Each specialization consists of a series of courses and a practice-oriented final project, says the HSE eLearning Office.
The HSE Banking Institute is launching a new Master of Finance programme on Coursera. The online programme is English-taught and based on the CFA certification requirements. Professor Vasily Solodkov, the director of the Banking Institute and the academic supervisor of the programme is discussing the programme features.
Coursera has listed the most popular courses in 2020 among users from Russia. ‘Basics of Programming in Python’ by HSE Unviersity is among the top five.
Degrees in business, technology, and data science will enable students around the world to prepare for the jobs of tomorrow. HSE University and Coursera today announced four new online degree programmes at global higher education conference, eSTARS. With upcoming English-language master’s programmes in business analytics, computer vision, data and network analytics, and finance, HSE now has five fully online degrees on the Coursera platform.
The students of the second cohort in HSE University’s Master of Data Science have started their classes. This English-taught programme is offered entirely online on Coursera and is the first of its kind in Russia.