{"id":2174,"date":"2026-01-23T09:07:48","date_gmt":"2026-01-23T14:07:48","guid":{"rendered":"https:\/\/www.ramapo.edu\/dmc\/?p=2174"},"modified":"2026-03-11T19:38:44","modified_gmt":"2026-03-11T23:38:44","slug":"summer-of-ai-2026","status":"publish","type":"post","link":"https:\/\/www.ramapo.edu\/dmc\/2026\/01\/23\/summer-of-ai-2026\/","title":{"rendered":"Summer of AI 2026"},"content":{"rendered":"<p><strong>Online \u2022 Asynchronous \u2022 12 Transferable Credits<\/strong><\/p>\n<p>Master artificial intelligence, machine learning, and agentic systems in one intensive summer. Three 4-credit courses designed to take you from foundations to building autonomous AI agents\u2014all online and asynchronous.<\/p>\n<p><a href=\"https:\/\/www.ramapo.edu\/summer\/\"><strong>\u2192 Register for Summer 2026<\/strong><\/a><\/p>\n<p><strong>Session 1 (May 27 \u2013 June 30):<\/strong> <\/p>\n<ul>\n<li>Machine Learning<\/li>\n<\/ul>\n<p>\n<strong>Session 2 (July 9 \u2013 August 11):<\/strong> <\/p>\n<ul>\n<li>Artificial Intelligence<\/li>\n<li>Agent Engineering<\/li>\n<\/ul>\n<p>Take one, two, or all three courses!<\/p>\n<h3>CMPS 320: Machine Learning<\/h3>\n<p><em>Session 1 (May 27 \u2013 June 30) \u2022 4 Credits<\/em><\/p>\n<p>Build the mathematical and algorithmic foundation for modern AI. Implement regression, classification, and neural networks from scratch. Master the complete ML pipeline from data preprocessing to model evaluation and deployment.<\/p>\n<p><strong>Topics include:<\/strong> Linear &amp; Logistic Regression, Decision Trees &amp; Ensembles, Neural Networks &amp; Backpropagation, Support Vector Machines, K-Means Clustering, Dimensionality Reduction (PCA), XGBoost &amp; LightGBM, Deep Learning Foundations, Model Evaluation &amp; Cross-Validation<\/p>\n<h3>CMPS 331: Artificial Intelligence<\/h3>\n<p><em>Session 2 (July 9 \u2013 August 11) \u2022 4 Credits<\/em><\/p>\n<p>Explore the core reasoning and representation techniques of AI. From search algorithms and game-playing to probabilistic reasoning and expert systems. Build intelligent systems that reason, plan, and make decisions under uncertainty.<\/p>\n<p><strong>Topics include:<\/strong> Search Algorithms (BFS, DFS, A*), Adversarial Search &amp; Minimax, Alpha-Beta Pruning, Propositional &amp; Predicate Logic, Bayesian Networks, Fuzzy Logic, Expert Systems, Planning &amp; STRIPS, Knowledge Representation<\/p>\n<h3><a href=\"https:\/\/pages.ramapo.edu\/~sfrees\/courses\/agent-engineering\/\">CMPS 367: Agent Engineering<\/a><\/h3>\n<p><em>Session 2 (July 9 \u2013 August 11) \u2022 4 Credits<\/em><\/p>\n<p><strong>The cutting edge of AI engineering.<\/strong> Build autonomous AI agents that perceive, reason, and act. Master LLM integration, tool use, RAG systems, memory architectures, and multi-agent coordination. You&#8217;ll build a production-ready coding agent from scratch\u2014then extend it with retrieval, memory, and skills systems.<\/p>\n<p><strong>Topics include:<\/strong> Transformer Architecture &amp; LLMs, Agent Loop Design, Tool Use &amp; Function Calling, Prompt Engineering &amp; Context Engineering, Retrieval-Augmented Generation (RAG), Memory Systems (Conversation, Episodic, Semantic), Multi-Agent Patterns, Model Context Protocol (MCP), LangChain &amp; Framework Evaluation, Guardrails &amp; AI Safety<\/p>\n<h2>Prerequisites<\/h2>\n<p><strong>Ramapo Students:<\/strong> You should have completed CMPS 231 (Data Structures) or CMPS 240 (Programming II). These courses are designed for Computer Science, Data Science, and Cybersecurity majors.<\/p>\n<p><strong>Students from Other Institutions:<\/strong> If you have coursework in programming (Python, Java, C++, or similar), you&#8217;re likely prepared. Earn 12 transferable credits applicable to your CS or related major. Contact us with questions about your preparation.<\/p>\n<p><strong>Technical Requirements:<\/strong> Basic programming proficiency is required. Familiarity with Python is helpful but not required\u2014you&#8217;ll gain extensive Python experience throughout the sequence. All courses are fully online and asynchronous.<\/p>\n<h2>Questions?<\/h2>\n<p>Wondering if this sequence is right for you? Curious about transferring credits or your preparation level? Reach out\u2014we&#8217;re happy to help.<\/p>\n<p><strong>Scott Frees, Ph.D.<\/strong><br \/>\nConvenor, Computer Science &amp; Cybersecurity<br \/>\nRamapo College of New Jersey<br \/>\n<a href=\"mailto:sfrees@ramapo.edu\">sfrees@ramapo.edu<\/a><\/p>\n<p><a href=\"https:\/\/www.ramapo.edu\/summer\/\"><strong>\u2192 Register for Summer 2026<\/strong><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Online \u2022 Asynchronous \u2022 12 Transferable Credits Master artificial intelligence, machine learning, and agentic systems in one intensive summer. Three 4-credit courses designed to take you from foundations to building autonomous AI agents\u2014all online and asynchronous. \u2192 Register for Summer 2026 Session 1 (May 27 \u2013 June 30): Machine Learning Session 2 (July 9 \u2013 [&hellip;]<\/p>\n","protected":false},"author":214,"featured_media":2178,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,10,3,8,12],"tags":[],"class_list":["post-2174","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-computer-science","category-cybersecurity","category-data-science","category-mathematics","category-news-updates"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.5 (Yoast SEO v27.1.1) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Summer of AI 2026 - Center for Data, Mathematical and Computational Sciences<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.ramapo.edu\/dmc\/2026\/01\/23\/summer-of-ai-2026\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Summer of AI 2026\" \/>\n<meta property=\"og:description\" content=\"Online \u2022 Asynchronous \u2022 12 Transferable Credits Master artificial intelligence, machine learning, and agentic systems in one intensive summer. 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