{"id":58,"date":"2025-07-31T10:11:39","date_gmt":"2025-07-31T16:11:39","guid":{"rendered":"https:\/\/courses.cs.colostate.edu\/cs542\/?page_id=58"},"modified":"2025-11-30T06:37:54","modified_gmt":"2025-11-30T13:37:54","slug":"activities","status":"publish","type":"page","link":"https:\/\/courses.cs.colostate.edu\/cs542\/activities\/","title":{"rendered":"Calendar"},"content":{"rendered":"\n

Course Outline<\/h2>\n\n\n\n

Schedule is subject to change<\/p>\n\n\n\n

Week<\/th>Date<\/th>Lecture<\/th>Assignment<\/th>Assignment Due<\/th><\/tr><\/thead>
1<\/td>08\/25<\/td>Class Overview\/Intro to NLP<\/a><\/strong><\/td>HW0<\/strong><\/a> (Self-Assessment)<\/td>08\/29 (11:59pm)<\/td><\/tr>
1<\/td>08\/27<\/td>Linguistics in the Age of AI<\/a><\/strong><\/td><\/td><\/td><\/tr>
2<\/td>09\/01<\/td>No class (Labor Day)<\/td><\/td><\/td><\/tr>
2<\/td>09\/03<\/td>Information Theory and Evaluation<\/a><\/strong><\/td><\/td><\/td><\/tr>
3<\/td>09\/08<\/td>Bayes’ Theorem<\/a><\/strong>, Naive Bayes Classification for Sentiment Analysis<\/a><\/strong><\/td>HW1<\/a><\/strong> (Bayes’ Theorem)<\/td>09\/15 (11:59pm)<\/td><\/tr>
3<\/td>09\/10<\/td><\/a>N-gram Modeling<\/a><\/strong><\/strong><\/td><\/td><\/td><\/tr>
4<\/td>09\/15<\/td>From Naive Bayes to Logistic Regression<\/a><\/strong><\/td>PA1<\/strong> (Logistic Regression)<\/td>09\/22 (11:59pm)<\/td><\/tr>
4<\/td>09\/17<\/td>Model Training Using Gradient Descent<\/a><\/strong><\/td><\/td><\/td><\/tr>
5<\/td>09\/22<\/td>Edit Distance<\/a><\/strong>, Context-free grammars<\/a><\/strong><\/td><\/td><\/td><\/tr>
5<\/td>09\/24<\/td>CKY Parsing<\/a><\/strong><\/td><\/td><\/td><\/tr>
6<\/td>09\/29<\/td>Hidden Markov Models<\/a><\/strong><\/td>HW2<\/strong> (HMM)<\/td>10\/06 (11:59pm)<\/td><\/tr>
6<\/td>10\/01<\/td>Viterbi Algorithm<\/a><\/strong>, Graphical Models and CRFs<\/a><\/strong><\/td>Project Proposal<\/strong><\/a><\/td>10\/28 (11:59pm)<\/td><\/tr>
7<\/td>10\/06<\/td>Part-of-speech Tagging with Structured Perceptrons<\/a><\/strong><\/td>PA2<\/strong> (POS Tagger)<\/td>10\/17 (11:59pm)<\/td><\/tr>
7<\/td>10\/08<\/td>Annotation and the MATTER Cycle<\/a><\/strong><\/td><\/td><\/td><\/tr>
8<\/td>10\/13<\/td>Intro to Neural Networks for NLP<\/a><\/strong><\/td><\/td><\/td><\/tr>
8<\/td>10\/15<\/td>Distributional Semantics and word2vec<\/a><\/strong><\/td>PA3<\/strong> (Distributional Semantics)<\/td>10\/30 (11:59pm)<\/td><\/tr>
9<\/td>10\/20<\/td>CNNs in NLP<\/a><\/strong><\/td><\/td><\/td><\/tr>
9<\/td>10\/22<\/td>RNNs in NLP<\/a><\/strong><\/td>PA4<\/strong> (Neural Parser)<\/td>11\/10 (11:59pm)<\/td><\/tr>
10<\/td>10\/27<\/td>LSTMs and Attention Mechanisms<\/a><\/strong><\/td><\/td><\/td><\/tr>
10<\/td>10\/29<\/td>Transformers<\/a><\/strong><\/td><\/td><\/td><\/tr>
11<\/td>11\/03<\/td>Transformers: Revenge of the Networks<\/a><\/strong><\/td><\/td><\/td><\/tr>
11<\/td>11\/05<\/td>Mega Encoder vs. Giant Decoder<\/a><\/strong><\/td><\/td><\/td><\/tr>
12<\/td>11\/10<\/td>RLHF: LLMs is People!<\/a><\/strong><\/td>PA5<\/strong> (Attention Mechanism)<\/td>11\/21 (11:59pm)<\/td><\/tr>
12<\/td>11\/12<\/td>Offline Preference Optimization: Your Language Model Is Secretly a Reward Model<\/a><\/strong><\/td><\/td><\/td><\/tr>
13<\/td>11\/17<\/td>Class canceled (instructor travel)<\/td>PA6<\/strong> (Reward Modeling)<\/td>12\/03 (11:59pm)<\/td><\/tr>
13<\/td>11\/19<\/td>Class canceled (instructor travel)<\/td><\/td><\/td><\/tr>
14<\/td>11\/24<\/td>No classes (Fall break)<\/td><\/td><\/td><\/tr>
14<\/td>11\/26<\/td>No classes (Fall break)<\/td><\/td><\/td><\/tr>
15<\/td>12\/01<\/td>Scaling Laws: All Hail LLMs!<\/strong><\/a><\/td><\/td><\/td><\/tr>
15<\/td>12\/03<\/td>How I Learned to Stop Worrying and Love Large Language Models<\/a><\/strong><\/td><\/td><\/td><\/tr>
16<\/td>12\/08<\/td>Ethical and Social Issues in NLP<\/strong><\/td><\/td><\/td><\/tr>
16<\/td>12\/10<\/td>Final Project Lightning Presentations<\/strong><\/td><\/td><\/td><\/tr>
17<\/td>12\/15<\/td>No class (Finals week – no final exam)<\/td><\/td><\/td><\/tr>
17<\/td>12\/17<\/td>No class (Finals week – no final exam)<\/td><\/td>Projects due<\/td><\/tr><\/tbody><\/table><\/figure>\n","protected":false},"excerpt":{"rendered":"

Course Outline Schedule is subject to change Week Date Lecture Assignment Assignment Due 1 08\/25 Class Overview\/Intro to NLP HW0 (Self-Assessment) 08\/29 (11:59pm) 1 08\/27 Linguistics in the Age of AI 2 09\/01 No class (Labor Day) 2 09\/03 Information Theory and Evaluation 3 09\/08 Bayes’ Theorem, Naive Bayes Classification for Sentiment Analysis HW1 (Bayes’ Theorem) 09\/15 […]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"template-fullwidth.php","meta":{"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","footnotes":""},"class_list":["post-58","page","type-page","status-publish","hentry","post-preview"],"taxonomy_info":[],"featured_image_src_large":false,"author_info":{"display_name":"jpurdy","author_link":"https:\/\/courses.cs.colostate.edu\/cs542\/author\/jpurdy\/"},"comment_info":0,"_links":{"self":[{"href":"https:\/\/courses.cs.colostate.edu\/cs542\/wp-json\/wp\/v2\/pages\/58","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/courses.cs.colostate.edu\/cs542\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/courses.cs.colostate.edu\/cs542\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/courses.cs.colostate.edu\/cs542\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/courses.cs.colostate.edu\/cs542\/wp-json\/wp\/v2\/comments?post=58"}],"version-history":[{"count":28,"href":"https:\/\/courses.cs.colostate.edu\/cs542\/wp-json\/wp\/v2\/pages\/58\/revisions"}],"predecessor-version":[{"id":127,"href":"https:\/\/courses.cs.colostate.edu\/cs542\/wp-json\/wp\/v2\/pages\/58\/revisions\/127"}],"wp:attachment":[{"href":"https:\/\/courses.cs.colostate.edu\/cs542\/wp-json\/wp\/v2\/media?parent=58"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}