THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2021/2022

Draft edition - to be published 22/Apr/2021

Information in the Degree Programme Tables may still be subject to change in response to Covid-19

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

Postgraduate Course: Computer Programming for Speech and Language Processing (LASC11096)

Course Outline
SchoolSchool of Philosophy, Psychology and Language Sciences CollegeCollege of Arts, Humanities and Social Sciences
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
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 with examples relevant to processing human speech and language.
Course description This course covers high-level concepts in computer programming as well as hands-on practical training in writing code in python. The goal is to teach students to think about computational approaches to solving problems - what is a computer? what can it do? how can a question be framed in computational terms? In addition, students learn the nuts and bolts of programming in python including data structures, flow of control, input and output. The details are taught within the context of problems in speech and language processing.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Additional Costs None
Information for Visiting Students
Pre-requisitesNone
High Demand Course? Yes
Course Delivery Information
Not being delivered
Learning Outcomes
On completion of this course, the student will be able to:
  1. understand and employ the basic principles of computer programming
  2. apply familiarity with the basics of the Python language to write useful programmes
  3. analyse and address problems from a computational perspective
  4. create programmes to manipulate, reorganise and process data (in particular speech and text) in non-trivial ways
  5. review and critique computer code written by others
Reading List
¿Learning Python¿ by Mark Lutz is the recommended reading.
In addition, pointers to other online resources for further reader are included on the course website.
Additional Information
Graduate Attributes and Skills Python coding and code review skills, with particular emphasis on speech and natural language processing.
KeywordsSpeech,Computer programming,Python
Contacts
Course organiserDr Korin Richmond
Tel: (0131 6)51 1769
Email:
Course secretaryMiss Toni Noble
Tel: (0131 6)51 3188
Email:
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