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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2016/2017

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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 Humanities and Social Science
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 examples relevant to 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
Academic year 2016/17, Available to all students (SV1) Quota:  None
Course Start Semester 1
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 36, Feedback/Feedforward Hours 1, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 61 )
Assessment (Further Info) Written Exam 50 %, Coursework 50 %, Practical Exam 0 %
Additional Information (Assessment) 20% Coursework assignment 1
30% Coursework assignment 2
50% 2 hour closed book exam
Feedback In-class discussion after return of first homework
Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S1 (December)Computer Programming for Speech and Language Processing2:00
Learning Outcomes
On completion of this course, the student will be able to:
  1. understand important concepts in computer programming
  2. analyse a task in computational terms
Reading List
Beginning Python, Hetland
Learning Python, Lutz
Learn Python the Hard Way
Additional Information
Graduate Attributes and Skills Program a computer to complete simple and complex tasks

Use existing programming resources (e.g., python libraries) to support projects
Additional Class Delivery Information Attend all lectures as scheduled
KeywordsSpeech,Computer programming,Python
Contacts
Course organiserDr Korin Richmond
Tel: (0131 6)51 1769
Email: korin@cstr.ed.ac.uk
Course secretaryMiss Toni Noble
Tel: (0131 6)51 3188
Email: Toni.noble@ed.ac.uk
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