{"id":17,"date":"2026-09-07T03:26:40","date_gmt":"2026-09-07T03:26:40","guid":{"rendered":"https:\/\/havier.my\/?page_id=17"},"modified":"2026-09-07T13:37:24","modified_gmt":"2026-09-07T13:37:24","slug":"courses","status":"publish","type":"page","link":"https:\/\/havier.my\/?page_id=17","title":{"rendered":"Courses"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Courses and training materials provide practical guidance in statistics, optimization algorithms, artificial intelligence, and data analysis. The content is designed to support both conceptual understanding and practical application through structured learning and examples.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Statistics and Data Analysis<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Training in statistical methods for understanding, analyzing, and interpreting data. Topics include descriptive and inferential statistics, parametric and nonparametric methods, statistical comparison, experimental analysis, trend analysis, and Bayesian approaches.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Optimization Algorithms<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Training in optimization algorithms with emphasis on metaheuristic and evolutionary approaches. Topics include algorithm principles, benchmark functions, performance evaluation, comparative analysis, parameter control, and applications to engineering and computational optimization problems.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Artificial Intelligence and Machine Learning<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Training in fundamental concepts and practical applications of artificial intelligence and machine learning. Topics include data-driven modelling, pattern recognition, predictive methods, intelligent systems, and the integration of optimization and statistical techniques in AI applications.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Learning Approach<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Learning materials emphasize clear explanations, practical examples, guided analysis, and the application of statistical and computational methods to real-world problems. The approach is designed to help learners progress from fundamental concepts to practical implementation and interpretation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Courses and training materials provide practical guidance in statistics, optimization algorithms, artificial intelligence, and data analysis. The content is designed to support both conceptual understanding and practical application through structured learning and examples. Statistics and Data Analysis Training in statistical methods for understanding, analyzing, and interpreting data. Topics include descriptive and inferential statistics, parametric and [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-17","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/havier.my\/index.php?rest_route=\/wp\/v2\/pages\/17","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/havier.my\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/havier.my\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/havier.my\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/havier.my\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=17"}],"version-history":[{"count":2,"href":"https:\/\/havier.my\/index.php?rest_route=\/wp\/v2\/pages\/17\/revisions"}],"predecessor-version":[{"id":57,"href":"https:\/\/havier.my\/index.php?rest_route=\/wp\/v2\/pages\/17\/revisions\/57"}],"wp:attachment":[{"href":"https:\/\/havier.my\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=17"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}