UCLA Computer Science 131, winter 2023.
Programming Languages

Course objective: Analyze and compare programming languages and their implementations.

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Instructor: Paul Eggert. See Bruin Learn for office hours.

Teaching assistants, with office hours published on Bruin Learn:

• Lab 1A. F 10:00. Matthew Wang
• Lab 1B. F 12:00. Ashwin Ranade
• Lab 1C. F 14:00. Siddharth Krishnamoorthy

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 (CS2013) 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 knowledge areas in the IEEE Software Engineering Body of Knowledge, Version 3.0 (SWEBOK V3.0), 2014:

1. 3.4.2 Object-oriented runtime issues
2. 3.4.3 Parameterization and generics
3. 3.4.5 Error handling, exception handling, and fault tolerance
4. 3.4.9 Grammar-based input processing
5. 13.4. Programming Language Basics
6. 13.10. Compiler Basics

These curriculum guidelines evolve; see Computing Curricula 2020 Paradigms for Global Computing Education (CC2020).