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[ http://web.cs.dal.ca/~vlado/csci6509/coursecalendar.html ]
Fall 2025 (Sep23-Dec9) Faculty of Computer Science Dalhousie University |
September October November December
Su Mo Tu We Th Fr Sa Su Mo Tu We Th Fr Sa Su Mo Tu We Th Fr Sa Su Mo Tu We Th Fr Sa
1 2 3 4 5 6 1 2 3 4 w2 1 w6 1 2 3 4 5 6 w10
7 8 9 10 11 12 13 5 6 7 8 9 10 11 w3 2 3 4 5 6 7 8 w7 7 8 9 10 11 12 13 w+/ex11-
14 15 16 17 18 19 20 12 13 14 15 16 17 18 w4 9 10 11 12 13 14 15 rw 14 15 16 17 18 19 20 ex
21 22 23 24 25 26 27 w1 19 20 21 22 23 24 25 w5 16 17 18 19 20 21 22 w8 21 22 23 24 25 26 27 ex-21
28 29 30 w2 26 27 28 29 30 31 w6 23 24 25 26 27 28 29 w9 28 29 30 31
30 w10
| # | Date | Title | |
|---|---|---|---|
| Part I: Introduction | |||
| 1 | Tu Sep 23 | Course Introduction | |
| Part II: Stream-based Text Processing | |||
| 2 | Th Sep 25 | Sources of Complexity in NLP, Course Project, Finite Automata Review (start) | |
| L1 | Mo Sep 29 | Lab 1: FCS Computing Environment, Perl Tutorial 1 | |
| Tu Sep 30 | National Day for Truth and Reconciliation, University closed | ||
| 3 | Th Oct 2 | Finite Automata Review | |
| L2 | Mo Oct 6 | Lab 2: Perl Tutorial 2 | |
| 4 | Tu Oct 7 | Basic NLP with Perl | |
| 5 | Th Oct 9 | N-grams and Morphology | |
| Fr Oct 10 | P0 Project Topic Proposal due | ||
| Mo Oct 13 | Thanksgiving Day, University closed | ||
| 6 | Tu Oct 14 | Text Similarity and Applications | |
| 7 | Th Oct 16 | Text Classification | |
| L3 | Fr Oct 17 | Lab 3: Perl Tutorial 3 | |
| L4 | Mo Oct 20 | Lab 4: Git and GitLab Tutorial | |
| 8 | Tu Oct 21 | Similarity-based Classification | |
| Part III: Probabilistic and Machine Learning Approach to NLP | |||
| 9 | Th Oct 23 | Introduction to Probabilistic NLP | |
| L5 | Mo Oct 27 | Lab 5: Python NLTK Tutorial 1 | |
| 10 | Tu Oct 28 | Naive Bayes Model | |
| 11 | Th Oct 30 | N-gram Model and Markov Chain Model | |
| L6 | Mo Nov 3 | Lab 6: Python Tutorial 2 | |
| 12 | Tu Nov 4 | POS Tagging and Hidden Markov Model | |
| 13 | Th Nov 6 | P0 Topics Discussion | |
| Fr Nov 7 | P1 Project Statement due | ||
| Mo Nov 10 | Fall Study Break Nov 10-14, no classes, University open except Tue | ||
| Tu Nov 11 | Remembrance Day, University closed | ||
| L8 | Mo Nov 17 | Lab 8: Python Tutorial with PyTorch | |
| 14 | Tu Nov 18 | P0 Discussion (2); Bayesian Networks and HMM Inference | |
| 15 | Th Nov 20 | P0 Discussion (3); Sum-Product Algorithms | |
| L9 | Mo Nov 24 | Lab 9: Hugging Face Tutorial | |
| 16 | Tu Nov 25 | Neural Networks and NLP | |
| 17 | Th Nov 27 | Deep Learning Architectures for NLP | |
| Part IV: Syntactic Processing | |||
| 18 | Tu Dec 2 | Syntax of Natural Languages | |
| 19 | Th Dec 4 | Other Types of Grammars: PCFG, DCG | |
| Part V: Student Presentations | |||
| Mo Dec 8 | Student Presentations | ||
| Tu Dec 9 | Student Presentations | ||
| We Dec 10 | Classes end, Report due | ||
| Final Exam | |||
| Mo Dec 15 | Final Exam (8:30-10:30am) | ||