ACM India Summer Schools 2019
ACM India is pleased to announce ACM India Summer Schools 2019 after the highly successful summer schools held last two years. These schools are targeted at pre-final year undergraduate or masters students. In exceptional cases, PhD students or students in other years may also be considered.
Application deadline: closed.
Below are the Summer Schools planned.
|3-15 June||Geometric Algorithms and Their Applications||NISER Bhubaneswar||Dassault Systèmes Foundation - India|
|3-21 June||Compiler Design and Construction||VIT Pune||NVIDIA|
|10-28 June||Algorithmic and Theoretical Aspects of Machine Learning||IIIT Bangalore||Microsoft Research India|
|17-29 June||Detection and Analysis of Malware||COEP Pune||Quick Heal|
|17 June-5 July||Graph Theory and Graph Algorithms||NIT Calicut||National Centre for Mathematics|
|2-14 July||Algorithmic Game Theory (for women only)||IIT Gandhinagar||Oracle Academy|
|8-18 July||Cybersecurity and Data Analytics||IIIT Delhi||Cisco|
These schools will have intense lecture and hands-on sessions on advanced topics. The aim is to give exposure to recent advances in these areas to bright and motivated undergraduate/graduate students.
ACM India is pleased to announce ACM India Summer Schools 2019, targeted at pre-final year undergraduate or masters students. In exceptional cases, PhD students or students in other years may also be considered. Geometric Algorithms, Compiler Design and Construction, Machine Learning, Malware, Graph Theory and Algorithms, Game Theory, and Cybersecurity and Data Analytics will be covered.
ACM India started the education initiative CSpathshala in 2016, to teach computing as a science in all schools. The key objectives are to popularise CT and influence education policy to enable its introduction into the curricula. A two-pronged approach has been undertaken, developing a CT curriculum along with teaching aids and working at grassroot levels with schools, training teachers, executing pilot projects and collecting data to demonstrate the feasibility and efficacy of teaching CT.