Undergraduate Course: Computer Programming for Speech and Language Processing (LASC10079)
Course Outline
| School | School of Philosophy, Psychology and Language Sciences |
College | College of Humanities and Social Science |
| Credit level (Normal year taken) | SCQF Level 10 (Year 3 Undergraduate) |
Availability | Available to all students |
| SCQF Credits | 20 |
ECTS Credits | 10 |
| Summary | This 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 |
Not entered
|
Information for Visiting Students
| Pre-requisites | Visiting 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. |
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% 2 hour closed book exam
50% Coursework assignment |
| Feedback |
Not entered |
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
|
| Main Exam Diet S1 (December) | Computer Programming for Speech & Language Processing | 2:00 | |
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 |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Hannah Rohde
Tel: (0131 6)50 6802
Email: |
Course secretary | Mrs Francesca Kerr-Dineen
Tel: (0131 6)50 3961
Email: |
|
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