CSLL Year 2

computer science img

The following is a brief overview of the modules taken in Senior Fresh year

Beside the overview below, current students should be able to follow the links to further information (within the eLearning environment, “Blackboard”, or a module’s own website), or via my.tcd.ie for full details, including assessment criteria and learning outcomes. Consult also course handbook

Also the web-pages of the other participating departments will contain useful information:

Full Year Modules

MAU22C00 – Discrete Mathematics

(Full Year, 10 credits) The mathematical objects studied in this module are fundamental not just for theoretical computer science but constitute the building blocks for formalising problems and writing down algorithms to solve those problems. The aim of the module is to provide a lifelong ability to operate with the mathematical objects and to make students comfortable with mathematical proofs.

Semester One Modules

CSU22061 – Intermediate Programming

(Semester 1, 5 ECTS) Fundamentals of C++ including built-in types and coercion, pointers, arrays, reference parameters, STL containers string and vector structs, classes, inheritance (illustrated by Qt library for GUIs), dynamic memory allocation and recursive data structures.

CSU22011 – Algorithms and Data Structures I

(Semester 1, 5 ECTS) The topics of this module are: the theory and practice of algorithmic design; evaluation algorithm performance; and standard algorithms and data structures.

Linguistics Modules

LIU22001 Syntax and Semantics (5 Credits)

LIU22002 Computational Morphology and Statistics (5 Credits)

Semester Two Modules

CSU22012 – Algorithms and Data Structures II

(Semester 2, 5 ECTS) This module continues directly from Algorithms and Data Structures I and addresses topics including recursion, divide-and-conquer, graph traversal and dynamic programming.

CSU22062 – Natural Language Processing

(Semester 2, 5 ECTS) Regular languages, context free languages, feature structures, a brief into to Probailistic Methods in NLP, topic varying year to year,
examples being the use of Hidden Markov models in speech recognition, or
statistical machine translation, a brief into recursive computation of semantic values from grammatical structures.

Linguistics Modules

LIU22003 Speech Science & Phonetics (5 Credits)

Langauge Modules

15 ECTS in your studied language.

Irish IRU2244Y (Ceart agus labhairt na teanga, 10 ECTS, S1, S2), IRU22432 (Gàidhlig, 5 ECTS, S2)

German GRU22001 & GRU22002 (German Language 2, 5 ECTS, S1, S2), GRU22052 (Kulturgeschichte B, 5 ECTS, S2)

French FRU22001 & FRU22002 (Oral and Written French, 10 ECTS, S1, S2), FRU22092 (The Diversity of the French-speaking World, 5 ECTS, S2)