{"id":11668,"date":"2026-05-29T11:01:41","date_gmt":"2026-05-29T08:01:41","guid":{"rendered":"https:\/\/applied-science.tiu.edu.iq\/artificial-intelligence\/?p=11668"},"modified":"2026-06-29T11:07:42","modified_gmt":"2026-06-29T08:07:42","slug":"an-artificial-intelligence-department-student-joins-stanford-universitys-code-in-place-program","status":"publish","type":"post","link":"https:\/\/applied-science.tiu.edu.iq\/artificial-intelligence\/an-artificial-intelligence-department-student-joins-stanford-universitys-code-in-place-program\/","title":{"rendered":"An Artificial Intelligence Department Student Joins Stanford University’s Code in Place Program"},"content":{"rendered":"

A student from the Artificial Intelligence Department has been successfully accepted into Code in Place, a prestigious free online programming course offered by Stanford University. Tiba Marwan Abdulmanaf<\/strong> is among a group of learners chosen from thousands of applicants worldwide, making this acceptance a noteworthy academic achievement. The selection process requires applicants to complete a programming task and submit a personal statement, ensuring that only motivated and capable learners are admitted into the program.<\/p>\n

Code in Place is a six-week course based on Stanford’s well-known undergraduate course CS 106A, redesigned to meet the needs of learners worldwide. The course covers foundational programming topics using Python, including control flow, variables, functions, and expressions, as well as introductory image processing. Students participate in live weekly classes, complete assignments, and receive direct guidance from a section leader, alongside a supportive global community of learners. Upon successfully completing the course requirements, students are awarded a certificate of completion from Stanford University.<\/p>\n

The Artificial Intelligence Department congratulates Tiba Marwan Abdulmanaf<\/strong> on this outstanding achievement and views this participation as a reflection of the department’s broader commitment to the United Nations Sustainable Development Goals (SDGs). This activity directly supports SDG 4 (Quality Education) by providing access to world-class educational resources beyond the traditional classroom, and SDG 17 (Partnerships for the Goals) through international academic collaboration between our institution and a globally leading university. Furthermore, by engaging with a diverse worldwide community of learners, this experience promotes SDG 10 (Reduced Inequalities), as Code in Place is specifically designed to make quality programming education accessible to all, regardless of background or location. The department encourages all students to pursue similar international learning opportunities that enrich their academic journey and contribute to a more equitable and knowledge-driven world.<\/p>\n

 <\/p>\n

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