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DRPS : Course Catalogue : School of Philosophy, Psychology and Language Sciences : Language Sciences

Undergraduate Course: Computer Programming for Speech and Language Processing (LASC10079)

Course Outline
SchoolSchool of Philosophy, Psychology and Language Sciences CollegeCollege of Humanities and Social Science
Credit level (Normal year taken)SCQF Level 10 (Year 3 Undergraduate) AvailabilityAvailable to all students
SCQF Credits20 ECTS Credits10
SummaryThis course introduces the concept of computer programming and the Python programming language. It focuses on how to think about solving problems in ways that can be addressed algorithmically, with examples relevant to speech and language.
It combines well with the honours-level courses Speech Processing and/or Speech Synthesis and is particularly well-suited to be taken concurrently with, or in the year before, Speech Processing.
It will be co-taught with the 10-credit postgraduate version of this course and shares lectures, labs sessions
and assessments with that course.
Course description This course introduces fundamentals of programming using the programming language Python. It is designed for students interested in using computational tools for research in natural language processing and speech synthesis.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: LEL2B: Phonetic Analysis and Empirical Methods (LASC08018)
Prohibited Combinations Students MUST NOT also be taking Computer Programming for Speech and Language Processing (LASC11096) OR Informatics 1 - Functional Programming (INFR08013) OR Informatics 1 - Object-Oriented Programming (INFR08014)
Other requirements None
Information for Visiting Students
Pre-requisitesVisiting students should have at least 3 Linguistics/Language Sciences courses at grade B or above (or be predicted to obtain this). We will only consider University/College level courses.
High Demand Course? Yes
Course Delivery Information
Academic year 2015/16, Available to all students (SV1) Quota:  None
Course Start Semester 1
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 200 ( Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 196 )
Assessment (Further Info) Written Exam 50 %, Coursework 50 %, Practical Exam 0 %
Additional Information (Assessment) 50% coursework (assignment 1: 20%, assignment 2: 30%)
50% 2 hour closed book exam
Feedback Not entered
Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S1 (December)Computer Programming for Speech & Language Processing2:00
Learning Outcomes
Understand the basic principles of computer programming
* Be familiar with the basics of the Python programming language
* Be able to see how to address problems from a computational perspective
* Be able to write programs to manipulate reorganise and process speech and text in non-trivial ways
Reading List
The course is mostly self-contained and provides the required materials. The suggested textbooks are:
Beginning Python From Novice to Professional, (Second Edition) Magnus
Lie Hetland, Apress (~£20)
- probably the best introduction for a beginner
Learning Python (4th edition), (~£22) Mark Lutz & David Ascher, O¿Reilly
- probably the best introduction for someone with some programming experience
Python Pocket Reference, Mark Lutz, O¿Reilly
- very useful reference
Additional Information
Graduate Attributes and Skills Not entered
KeywordsNot entered
Course organiserDr Hannah Rohde
Tel: (0131 6)50 6802
Course secretaryMiss Samantha Bell
Tel: (0131 6)50 3602
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