We develop new approaches to programming, whether that takes the form of programming languages, tools (like compilers), or methodologies (like ways to collect requirements or formulate designs). Advances in these ingredients can improve many aspects of applications and systems infrastructure.
New programming languages can improve developer productivity and allow new categories of users to tackle complex programming challenges. Improved compilers can boost program performance through automatic program analysis and transformation. Formal methods can build confidence in system correctness through logical arguments about complex code bases (whether through automated reductions to harness SMT solvers or through more manual construction of proofs of deeper properties using computer proof assistants like Coq).
Programming tools are relevant to most parts of computer science, and this area is therefore rich in collaborations with others, including the two-way interplay between machine learning and programming. Another popular thread is applying formal methods to classes of hardware and software systems whose correctness and security matter most: computer processors, operating systems, databases, and cryptographic libraries.
Latest news in programming languages and software engineering
Undergraduate engineering and computer science programs are No. 1; undergraduate business program is No. 2.
The co-founder and director of CICS, which later became LIDS, blended intellectual rigor with curiosity.
The department is proud to announce multiple promotions this year.
Six distinguished scientists with ties to MIT were recognized “for significant contributions in areas including cybersecurity, human-computer interaction, mobile computing, and recommender systems among many other areas.”
Ending a 44-year drought, the MIT competitive programming team came in on top in Dhaka, Bangladesh.