编程语言小组（PLG）从事编程语言和软件工程方面的工作。这些领域与基本编程语言技术的基础使用有关：组合方法
The David R. Cheriton School of Computer Science has an international reputation in teaching, academics, research, and employment. We attract exceptional students from all over the world to study and conduct research with our award-winning faculty. You can participate in research projects in a wide variety of topics with our internationally acclaimed researchers. Our research spans the field of computer science, from core work on systems, theory and programming languages to human-computer interaction, DNA and quantum computing to theoretical and applied machine learning, just to name a few. As a graduate student, you will: Access research-intensive lab spaces. Gain the opportunity to publish your work in top conferences and journals. Present at premier conferences in front of peers, industry leaders, researchers, and experts in your field. As a graduate student, you will have the independence to pursue your preferred area of research with a faculty If you want to continue pursuing research and expand your learning, you will work with a supervisor to develop a thesis. As a graduate student at the PhD level you will be expected to conduct meaningful research that expands the scope of your graduate work.<br><br>Every aspect of computer science depends on programming languages to transform human ideas into a practical, functioning form executable by a computer. Many different programming languages have been developed and each addresses a well-defined purpose across a number of diverse computing environments. The Programming Languages Group (PLG) does research across this full spectrum: language design, parsing, type theory, static and dynamic analysis, code generation and runtime systems. PLG also examines the software life-cycle development tools, code comprehension and transformation, performance, debugging, and programmer behaviour and productivity. The research goal is to ease transforming human ideas into an executable form by a computer, which can be accomplished at multiple levels in the highly complex software stack.