New Courses

To add a new course, please fill out the “Request for publishing course” form and follow its instructions.

Academic unit	Course name	Course catalog number	Lecturer name	Credit points	Academic level	Given in	Additional information
Chemical Engineering	AI Fluency and Agentic Methods for Engineers	00560413	Assoc. Prof. Alon Grinberg Dana	2.5	Joint	Winter 2026-2027	This course prepares engineering students to practice their discipline alongside AI agents, treating an agent as a component of engineering workflows. Students establish the scientific basis (neural networks, how LLMs differ from deterministic numerical methods), operate a modern professional scientific software stack (version control, code review, type checking, testing, CI), and perform key operations by hand before delegating, so they can verify and debug what the agent does. Each student builds a structured text-based input layer (YAML/JSON) driving a process simulation and an agent that operates on it: proposing design changes, invoking the simulator as a deterministic tool, reading results, and iterating toward an improved design under explicit constraints and human-in-the-loop checkpoints, targeting yield, energy efficiency, and/or selectivity. Every graduate ships at least one working agentic system that solves a real engineering or research problem in their own field. The course is offered by the Department of Chemical Engineering and open across the Technion, while case studies are adapted to other domains as needed. Prerequisites for all: A basic software engineering proficiency is required, and it is supported by a self-paced ~3-week preparatory workshop that must be completed before the semester, with a software engineering proficiency preparation exam in week 2. AI Fluency and Agentic Methods for Engineers
Education in Science and Technology	Development and assessment - Interpersonal communication skills	02180329	Prof. Yehudit Judy Do	2	Graduate	Winter 2026-2027	The aim of the course is to improve students' interpersonal, soft skills, such as written and oral communication, providing meaningful feedback following critical reading of abstracts, presentation to a diverse audience, self-esteem, and peer evaluation. the course format is based on research findings of a study on technion students and graduates, which showed that interpersonal skills can developed through active learning and engagements with peers. interpersonal skills were defined by leading engineering and science organizations worldwide as highly essential within the 21st century skills. the course is open to all technion graduate students engaged in research, enabling them to be exposed to research from a variety of faculties and domains. by the end of the course the studentshould be able to: 1. introduce themselves orally to a diverse audience in a short, elevator pitch. 2. present their research in writing to a diverse audience, while providing an accessible explanation of the topic and goals of the research. 3. give and receivefeedback in a positive and constructive way. 4. evaluate themselves and their peers. 5. improve the meta-cognitive abilities associated wit Development and assessment - Interpersonal communication skills