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Latest Module Specifications

Current Academic Year 2025 - 2026

Module Title Comparative Programming Languages
Module Code CSC1055 (ITS: CA341)
Faculty Computing School Engineering & Computing
NFQ level 8 Credit Rating 5
Description

This module will introduce the student to essential programming concepts on which modern programming languages are designed. This module will allow students to understand design choices in current programming languages, and to readily understand the features that may introduced into future programming languages.

Learning Outcomes

1. Explain the essential concepts underpinning modern programming languages.
2. Evaluate a programming language with respect to its design choices and appropriateness for a given programming task
3. Implement a fundamental programming task and data structure in an imperative and declarative fashion
4. Compare a procedural programming language with an object oriented programming language within the context of programming language design concepts
5. Compare a functional programming language with a logic programming language within the context of programming language design concepts


WorkloadFull time hours per semester
TypeHoursDescription
Lecture24Formal lectures
Assignment Completion50No Description
Independent Study51No Description
Total Workload: 125
Section Breakdown
CRN10238Part of TermSemester 1
Coursework0%Examination Weight0%
Grade Scale40PASSPass Both ElementsY
Resit CategoryRC1Best MarkN
Module Co-ordinatorGeoffrey HamiltonModule TeacherBrian Davis
Assessment Breakdown
TypeDescription% of totalAssessment Date
Group assignmentImperative Programming Assignment. Students will implement a fundamental programming task in a procedural and object-oriented programming language. Students must describe and document their solution in detail and compare and contrast both programming paradigms in a critical report.20%Week 6
Group assignmentDeclarative Programming Assignment. Students will implement a fundamental programming task in a functional and logic based language of their choice. Students must describe and document their solution in detail and compare and contrast both programming paradigms in a critical report20%Week 9
Loop QuizStudents will complete weekly quizzes which will test the knowledge and comprehension of each unit of teaching.10%Every Week
Formal Examinationn/a50%End-of-Semester
Reassessment Requirement Type
Resit arrangements are explained by the following categories;
RC1: A resit is available for both* components of the module.
RC2: No resit is available for a 100% coursework module.
RC3: No resit is available for the coursework component where there is a coursework and summative examination element.

* ‘Both’ is used in the context of the module having a coursework/summative examination split; where the module is 100% coursework, there will also be a resit of the assessment

Pre-requisite None
Co-requisite None
Compatibles None
Incompatibles None

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities

Execution Environments
Complied vs Interpreted Programs, Bindings.

Typing and Scope
Primitive types, Constructed Types, Static vs Dynamic Types Languages, Type Inference,

Algebraic Data Types, Dependent Types,

Scope in Blocks, Scope in Namespaces, Static vs. Dynamic Types.

Pointers and Memory Management
Explicit and Implicit pointers, Memory Management, Garbage Collection.

Abstraction
Control, Procedural and Data Abstractions, Functions.

Parameter Passing
Parameter Matching and Parameter Passing Mechanisms.

Assertions and Exceptions
Pre- and Postconditions, Loop Invariants, Program Correctness.

Concurrency
Semaphores, Monitors, Message Passing, Threads, Coroutines.

Object-Oriented Programming Paradigm
Classes, Sub-classes, Inheritance, Multiple Inheritance, Interfaces, Polymorphism (incl. Parametric Polymorphism).

Logic Programming Paradigm
Search vs. Computation, Unification, The Prolog Database.

Functional Programming Paradigm
Functions as First-Class values, Closures, Partial Application, Lambda Functions.

Indicative Reading List

Books:
  • M. Ben-Ari: 1996, Understanding Programming Languages, John Wiley & Sons, 978-047195846
  • John C. Mitchell: 2003, Concepts in programming language, Cambridge University Press, New York, 540, 978-052178098
  • David A. Watt: 2004, Programming Language Design Concepts, John Wiley & Sons, 978-047085320
  • 0: Programming Language Pragmatics, 4, San Diego; Morgan Kaufmann, 9780124104099, 315995
  • 2015: Concepts of Programming Languages, 11, Pearson, 9780133943023,


Articles:
  • Barbara G. Ryder, Mary Lou Soffa and Margaret Burnett: 2005, The impact of software engineering research on modern progamming languages, ACM Transactions on Software Engineering and Methodology (TOSEM), Volume 14 Issue 4, 1049-331X,
Other Resources

None

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