Information
Code | CEN471 |
Name | Natural Language Processing |
Term | 2024-2025 Academic Year |
Semester | 7. Semester |
Duration (T+A) | 3-0 (T-A) (17 Week) |
ECTS | 6 ECTS |
National Credit | 3 National Credit |
Teaching Language | İngilizce |
Level | Lisans Dersi |
Type | Normal |
Mode of study | Yüz Yüze Öğretim |
Catalog Information Coordinator | Prof. Dr. UMUT ORHAN |
Course Instructor |
Prof. Dr. UMUT ORHAN
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
Learning the methods and approaches used in Natural Language Processing
Course Content
Processing natural languages in computer
Course Precondition
none
Resources
Daniel Jurafsky and James H. Martin, Speech and language processing an introduction to natural language processing, computational linguistics, and speech, 2000.
Notes
Papers
Course Learning Outcomes
Order | Course Learning Outcomes |
---|---|
LO01 | Explains terms of Natural Language Processing |
LO02 | Explains what N-gram analysis is and how it is done |
LO03 | Does semantical analysis by disambiguation and similarity measurement |
LO04 | Defines a new synset in WordNet |
LO05 | Uses a corpus for NLP tools |
LO06 | Comments about summarization, question answering and machine translation systems |
LO07 | Explains Large Language Models |
LO08 | Does NLP tasks using open source LLM's |
Relation with Program Learning Outcome
Order | Type | Program Learning Outcomes | Level |
---|---|---|---|
PLO01 | Bilgi - Kuramsal, Olgusal | Adequate knowledge of mathematics, science and related engineering disciplines; ability to use theoretical and applied knowledge in these fields in solving complex engineering problems. | 5 |
PLO02 | Bilgi - Kuramsal, Olgusal | Ability to identify, formulate and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. | 4 |
PLO03 | Bilgi - Kuramsal, Olgusal | Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. | 3 |
PLO04 | Bilgi - Kuramsal, Olgusal | Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering practice; ability to use information technologies effectively. | 4 |
PLO05 | Bilgi - Kuramsal, Olgusal | Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics. | 3 |
PLO06 | Bilgi - Kuramsal, Olgusal | Ability to work effectively in interdisciplinary and multidisciplinary teams; individual working skills. | 4 |
PLO07 | Bilgi - Kuramsal, Olgusal | Ability to communicate effectively verbally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions. | 1 |
PLO08 | Bilgi - Kuramsal, Olgusal | Awareness of the necessity of lifelong learning; ability to access information, follow developments in science and technology, and constantly renew oneself. | 2 |
PLO09 | Bilgi - Kuramsal, Olgusal | Knowledge of ethical principles, professional and ethical responsibility, and standards used in engineering practice. | 2 |
PLO10 | Bilgi - Kuramsal, Olgusal | Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; knowledge of sustainable development. | |
PLO11 | Bilgi - Kuramsal, Olgusal | Knowledge of the effects of engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering; awareness of the legal consequences of engineering solutions. |
Week Plan
Week | Topic | Preparation | Methods |
---|---|---|---|
1 | Introduction to NLP concept and terms | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım |
2 | Normalization, Tokenizing, Lemmatization, Parsing | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım |
3 | Syntax, N-Gram analysis | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım |
4 | Corpus preparing | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım |
5 | Part of Speech Tagging, Treebank | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım |
6 | Semantic analysis (probabilistic methods) | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım |
7 | Morphological and Word Sense Disambiguation | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım |
8 | Mid-Term Exam | Study to lecture notes and apllications | Ölçme Yöntemleri: Yazılı Sınav |
9 | Word and Sentence similarities | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım |
10 | Graph based networks: WordNet, Graph based similarity | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım |
11 | Dialogue Systems, Question Answering | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım |
12 | Machine Translation | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım |
13 | Keyword Extraction, Document Summarization | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım |
14 | Paraphrasing | Reading related chapter in lecture notes | Öğretim Yöntemleri: Anlatım |
15 | Final Review | Reading related chapter in lecture notes | Öğretim Yöntemleri: Soru-Cevap |
16 | Term Exams | Study to lecture notes and apllications | Ölçme Yöntemleri: Yazılı Sınav |
17 | Term Exams | Study to lecture notes and apllications | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
Works | Number | Time (Hour) | Workload (Hour) |
---|---|---|---|
Course Related Works | |||
Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
Assesment Related Works | |||
Homeworks, Projects, Others | 0 | 0 | 0 |
Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
Final Exam | 1 | 30 | 30 |
Total Workload (Hour) | 157 | ||
Total Workload / 25 (h) | 6,28 | ||
ECTS | 6 ECTS |