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Main
UQU Programs
Data Science

Applied Natural Language Processing

DS4503
3 hours English

Applied Natural Language Processing

Applied Natural Lannguage
DS3402 Data Modelling
3 hours Two requisites
1 Introduction to NLP
2 Elements of computational linguistics
3 Basic text processing
4 Language modeling with n-grams
5 Text classification using linear models
6 Vector semantics and embeddings
7 Neural language modeling
8 RNNs for sequence processing
9 Contextual word embeddings, attention and transformers
10 Large language models
11 Basics of information retrieval
12 Elements of speech processing
13 NLP libraries and tools
14 NLP applications
1.1 Mapped to: K1

Identify fundamental natural language processing techniques and tools.

Teaching Strategy Lectures Discussions
Assessment Methods Exams and quizzes
1.2 Mapped to: K3

Explain the role of math and technology for language processing to solve real-world problems in a range of fields.

Teaching Strategy Lectures Discussions
Assessment Methods Exams and quizzes
2.1 Mapped to: S1, S5

Apply appropriate statistical methods and computational techniques to process natural language to support problem solving.

Teaching Strategy Lectures Discussions
Assessment Methods Practical assignments Exams and quizzes Practical projects
2.2 Mapped to: S3

Develop reasonable research methods in Natural Language Processing for different fields.

Teaching Strategy Lectures Discussions
Assessment Methods Practical assignments Exams and quizzes Practical projects
3.1 Mapped to: V1, V2

Apply research skills into natural language processing to generate innovative solutions that benefit society and improve decision-making.

Teaching Strategy Lectures Discussions Labs
Assessment Methods Homework and assignments Class discussions
3.2 Mapped to: V3

Act professionally, ethically, and responsibly with high moral standards when dealing with natural language processing.

Teaching Strategy Lectures Discussions Labs
Assessment Methods Homework and assignments Class discussions
Assessment
Weight
Final Exam
40%
Lab Assessment
20%
Midterm Exam
15%
Project
25%
Total
100%