UCLA Computer Science 131, Winter 2015.
Programming Languages

Course objective: Expose the student to an analytic and comparative way of looking at programming languages and their implementation.

Instructor: Paul Eggert, Boelter 4532J. Office hours are Mondays 10:00–11:00 and Thursdays 13:30–14:30.

Assistant: Yun Lu <yunalu@ucla.edu>. Office hours are TBD in Boelter 2432.

Lecture, 4 hours; laboratory, 2 hours; outside study, 6 hours.

Prerequisites: Computer Science 32, 33, and 35L.

Basic concepts in design and use of programming languages, including abstraction, modularity, control mechanisms, types, declarations, syntax, and semantics. Study of several different language paradigms, including functional, object-oriented, and logic programming. Letter grading.

For why this course is important, please see:

Freund SN, Grossman D, Bruce K et al. Why undergraduates should learn the principles of programming languages, 2011-02-06

Related Computer Science Curricula 2013 knowledge areas:

PL/Functional Programming
PL/Logic Programming
PL/Object-Oriented Programming
PL/Event-Driven and Reactive Programming
PL/Basic Type Systems
PL/Type Systems
PL/Program Representation
PL/Program Translation and Execution
PL/Syntax Analysis
PL/Compiler Semantic Analysis
PL/Runtime Systems
PL/Language Pragmatics
PL/Concurrency and Parallelism
PL/Advanced Programming Constructs
PL/Formal Semantics

Related IEEE/ACM Software Engineering 2004 (SE2004) bodies of knowledge:

CMP.cf.9. Programming language basics
CMP.cf.13. Semantics of programming languages
CMP.ct.3. Object-oriented run-time issues (e.g., polymorphism, dynamic binding, etc.)
CMP.ct.4. Parameterization and generics
CMP.ct.6. Error handling, exception handling, and fault tolerance
CMP.tl.4. Application oriented languages (e.g., scripting, visual, domain-specific, markup, macros, etc.)
FND.mf.8. Grammars

UCLA Computer Science 131, Winter 2015.Programming Languages

UCLA Computer Science 131, Winter 2015.
Programming Languages