{"id":1696,"date":"2023-06-09T17:51:12","date_gmt":"2023-06-09T14:51:12","guid":{"rendered":"https:\/\/www.topogeo.ihu.gr\/?post_type=course&#038;p=1696"},"modified":"2023-07-30T08:42:21","modified_gmt":"2023-07-30T05:42:21","slug":"507","status":"publish","type":"course","link":"https:\/\/www.topogeo.ihu.gr\/en\/courses\/507\/","title":{"rendered":"Algorithms in Geomatics"},"author":6,"template":"","meta":{"_acf_changed":false},"semester":[38],"course_type":[64],"acf":{"code":"507","semester":38,"level":"1","teaching_activities":{"activity_1":{"description":"Lectures","weekly_hrs":2,"ects":4},"activity_2":{"description":"Laboratorial exercises","weekly_hrs":1,"ects":""},"activity_3":{"description":"","weekly_hrs":"","ects":""},"activity_4":{"description":"","weekly_hrs":"","ects":""},"activity_5":{"description":"","weekly_hrs":"","ects":""}},"type":64,"language":"Greek","erasmus":"\u038c\u03c7\u03b9","url":"https:\/\/elearning.cm.ihu.gr\/course\/view.php?id=42","prerequisites":"","instructors":"","coordinator":"","content":"<strong>\u03a0\u03b5\u03c1\u03b9\u03b5\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf \u03b4\u03b9\u03b1\u03bb\u03ad\u03be\u03b5\u03c9\u03bd \u03b8\u03b5\u03c9\u03c1\u03af\u03b1\u03c2<\/strong>:\r\n<ul>\r\n \t<li>\u0391\u03bb\u03b3\u03cc\u03c1\u03b9\u03b8\u03bc\u03bf\u03b9 \u03ba\u03b1\u03b9 \u03c4\u03cd\u03c0\u03bf\u03b9 \u03b3\u03b5\u03c9\u03b3\u03c1\u03b1\u03c6\u03b9\u03ba\u03ce\u03bd \u0394\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd: \u03b1\u03bb\u03b3\u03cc\u03c1\u03b9\u03b8\u03bc\u03bf\u03b9, \u03b3\u03b5\u03c9\u03b3\u03c1\u03b1\u03c6\u03b9\u03ba\u03ae \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1 \u03ba\u03b1\u03b9 \u03a3\u03c5\u03c3\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u0393\u03b5\u03c9\u03b3\u03c1\u03b1\u03c6\u03b9\u03ba\u03ce\u03bd \u03a0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03b9\u03ce\u03bd, \u03b4\u03b9\u03b1\u03bd\u03c5\u03c3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac (vector) \u03ba\u03b1\u03b9 \u03c8\u03b7\u03c6\u03b9\u03bf\u03b3\u03c1\u03b1\u03c6\u03b9\u03ba\u03ac (raster) \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1<\/li>\r\n \t<li>\u0391\u03bb\u03b3\u03cc\u03c1\u03b9\u03b8\u03bc\u03bf\u03b9 \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03bd\u03c5\u03c3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1:\r\n<ul>\r\n \t<li>\u03b2\u03b1\u03c3\u03b9\u03ba\u03ad\u03c2 \u03ad\u03bd\u03bd\u03bf\u03b9\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03bf\u03c1\u03b9\u03c3\u03bc\u03bf\u03af \u03b3\u03c1\u03ac\u03c6\u03c9\u03bd, \u03bc\u03bf\u03bd\u03bf\u03c0\u03b1\u03c4\u03b9\u03ce\u03bd \u03ba\u03b1\u03b9 \u03ba\u03cd\u03ba\u03bb\u03c9\u03bd (\u03ae \u03ba\u03c5\u03ba\u03bb\u03c9\u03bc\u03ac\u03c4\u03c9\u03bd)<\/li>\r\n \t<li>\u03bc\u03b5\u03c4\u03b1\u03c4\u03c1\u03bf\u03c0\u03ae \u03b4\u03b9\u03b1\u03bd\u03c5\u03c3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ce\u03bd \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03c3\u03b5 (\u03bf\u03b4\u03b9\u03ba\u03cc) \u03b4\u03af\u03ba\u03c4\u03c5\u03bf<\/li>\r\n \t<li>\u03b5\u03bb\u03ac\u03c7\u03b9\u03c3\u03c4\u03b1 \u03bc\u03bf\u03bd\u03bf\u03c0\u03ac\u03c4\u03b9\u03b1 \u03ba\u03b1\u03b9 \u03b1\u03bb\u03b3\u03cc\u03c1\u03b9\u03b8\u03bc\u03bf\u03b9 Dijkstra \u03ba\u03b1\u03b9 Bellman-Ford<\/li>\r\n \t<li>\u03b5\u03bb\u03b1\u03c7\u03b9\u03c3\u03c4\u03bf\u03b2\u03b1\u03c1\u03ae \u03c3\u03c5\u03bd\u03b4\u03b5\u03c4\u03b9\u03ba\u03ac \u03b4\u03ad\u03bd\u03b4\u03c1\u03b1 \u03ba\u03b1\u03b9 \u03b1\u03bb\u03b3\u03cc\u03c1\u03b9\u03b8\u03bc\u03bf\u03b9 Prim \u03ba\u03b1\u03b9 Kruskal<\/li>\r\n \t<li>\u03c0\u03c1\u03cc\u03b2\u03bb\u03b7\u03bc\u03b1 \u03c0\u03bb\u03b1\u03bd\u03cc\u03b4\u03b9\u03bf\u03c5 \u03c0\u03c9\u03bb\u03b7\u03c4\u03ae (Travelling Salesman Problem \u03ae TSP) \u03ba\u03b1\u03b9 \u03b5\u03be\u03b1\u03bd\u03c4\u03bb\u03b7\u03c4\u03b9\u03ba\u03cc\u03c2, \u03b5\u03c5\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03bf\u03af, \u03c0\u03c1\u03bf\u03c3\u03b5\u03b3\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03bf\u03af \u03ba\u03b1\u03b9 \u03b1\u03ba\u03c1\u03b9\u03b2\u03b5\u03af\u03c2 \u03b1\u03bb\u03b3\u03cc\u03c1\u03b9\u03b8\u03bc\u03bf\u03b9 \u03b5\u03c0\u03af\u03bb\u03c5\u03c3\u03b7\u03c2<\/li>\r\n \t<li>\u03c0\u03c1\u03bf\u03b2\u03bb\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b2\u03ad\u03bb\u03c4\u03b9\u03c3\u03c4\u03b7\u03c2 \u03b8\u03ad\u03c3\u03b7\u03c2 (facility location problems) \u03ba\u03b1\u03b9 \u03b1\u03bb\u03b3\u03cc\u03c1\u03b9\u03b8\u03bc\u03bf\u03b9 \u03b5\u03c0\u03af\u03bb\u03c5\u03c3\u03b7\u03c2<\/li>\r\n<\/ul>\r\n<\/li>\r\n \t<li>\u0391\u03bb\u03b3\u03cc\u03c1\u03b9\u03b8\u03bc\u03bf\u03b9 \u03ba\u03b1\u03b9 \u03c8\u03b7\u03c6\u03b9\u03bf\u03b3\u03c1\u03b1\u03c6\u03b9\u03ba\u03ac \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03b1: \u03a3\u03c7\u03b5\u03c4\u03b9\u03ba\u03ae \u03ba\u03b1\u03b9 \u03b1\u03c0\u03cc\u03bb\u03c5\u03c4\u03b7 \u03c4\u03b1\u03be\u03b9\u03bd\u03cc\u03bc\u03b7\u03c3\u03b7\/\u03ba\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03b9\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7, \u03b1\u03bb\u03b3\u03cc\u03c1\u03b9\u03b8\u03bc\u03bf\u03b9 k-means \u03ba\u03b1\u03b9 ISODATA.<\/li>\r\n<\/ul>\r\n<strong>\u03a0\u03b5\u03c1\u03b9\u03b5\u03c7\u03cc\u03bc\u03b5\u03bd\u03b1 \u03b5\u03c1\u03b3\u03b1\u03c3\u03c4\u03b7\u03c1\u03b9\u03b1\u03ba\u03ce\u03bd \u03b1\u03c3\u03ba\u03ae\u03c3\u03b5\u03c9\u03bd<\/strong>:\r\n<ul>\r\n \t<li>\u039c\u03b5\u03c4\u03b1\u03c4\u03c1\u03bf\u03c0\u03ae \u03b4\u03b9\u03b1\u03bd\u03c5\u03c3\u03bc\u03b1\u03c4\u03b9\u03ba\u03ce\u03bd \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03c3\u03b5 (\u03bf\u03b4\u03b9\u03ba\u03cc) \u03b4\u03af\u03ba\u03c4\u03c5\u03bf (\u03b3\u03c1\u03ac\u03c6\u03bf)<\/li>\r\n \t<li>\u0391\u03bd\u03b1\u03c0\u03b1\u03c1\u03ac\u03c3\u03c4\u03b1\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b9\u03b4\u03b9\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u0393\u03c1\u03ac\u03c6\u03c9\u03bd: \u03a0\u03af\u03bd\u03b1\u03ba\u03b5\u03c2 \u03ba\u03b1\u03b9 \u03bb\u03af\u03c3\u03c4\u03b5\u03c2 \u03b3\u03b5\u03b9\u03c4\u03bd\u03af\u03b1\u03c3\u03b7\u03c2, \u03b2\u03b1\u03b8\u03bc\u03bf\u03af \u03ba\u03cc\u03bc\u03b2\u03c9\u03bd<\/li>\r\n \t<li>\u0391\u03bb\u03b3\u03cc\u03c1\u03b9\u03b8\u03bc\u03bf\u03b9 Dijkstra \u03ba\u03b1\u03b9 Bellman-Ford<\/li>\r\n \t<li>\u0391\u03bb\u03b3\u03cc\u03c1\u03b9\u03b8\u03bc\u03bf\u03b9 Prim \u03ba\u03b1\u03b9 Kruskal<\/li>\r\n \t<li>TSP: \u0395\u03be\u03b1\u03bd\u03c4\u03bb\u03b7\u03c4\u03b9\u03ba\u03cc\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03c5\u03c1\u03b9\u03c3\u03c4\u03b9\u03ba\u03bf\u03af, \u03c0\u03c1\u03bf\u03c3\u03b5\u03b3\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03bf\u03af \u03b1\u03bb\u03b3\u03cc\u03c1\u03b9\u03b8\u03bc\u03bf\u03b9<\/li>\r\n \t<li>TSP: \u0391\u03ba\u03c1\u03b9\u03b2\u03ae\u03c2 \u03b1\u03bb\u03b3\u03cc\u03c1\u03b9\u03b8\u03bc\u03bf\u03c2 Branch and Bound \u03bc\u03b5 \u03c3\u03c5\u03bd\u03ac\u03c1\u03c4\u03b7\u03c3\u03b7 \u03ba\u03ac\u03c4\u03c9 \u03c6\u03c1\u03ac\u03b3\u03bc\u03b1\u03c4\u03bf\u03c2<\/li>\r\n \t<li>\u0391\u03bb\u03b3\u03cc\u03c1\u03b9\u03b8\u03bc\u03bf\u03c2 k-means<\/li>\r\n \t<li>\u0391\u03bb\u03b3\u03cc\u03c1\u03b9\u03b8\u03bc\u03bf\u03c2 ISODATA<\/li>\r\n<\/ul>","goals":"This course aims to introduce the students to the principles of algorithms and their applications in spatial problems, with the use of vector and raster data. The students will learn the basics of algorithms and their application in common geo-spatial problems (e.g. routing, network connectivity, optimal mounting position) and the classification of spatial data.\r\nUpon completion, the students will be able to:\r\n\u2022 Recognize the fundamental characteristics of algorithms, their applications in problem solving and define the cost of their use (memory space and time)\r\n\u2022 Identify the NP-problems in Geomatics\r\n\u2022 Comprehend the differences between approachable, heuristic and exact algorithms\r\n\u2022 Comprehend and describe step by step the algorithms\r\n\u2022 Combine different algorithms to solve a problem\r\n\u2022 Insert spatial data and parameters in position based services (geo-services), using algorithms and analyze the output","skills":"\u2022 \u0395\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c3\u03b5 \u03b4\u03b9\u03b5\u03b8\u03bd\u03ad\u03c2 \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd\r\n\u2022 \u0395\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u03c3\u03b5 \u03b4\u03b9\u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03bf\u03bd\u03b9\u03ba\u03cc \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd\r\n\u2022 \u03a0\u03b1\u03c1\u03b1\u03b3\u03c9\u03b3\u03ae \u03bd\u03ad\u03c9\u03bd \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03ce\u03bd \u03b9\u03b4\u03b5\u03ce\u03bd\r\n\u2022 \u03a0\u03c1\u03bf\u03b1\u03b3\u03c9\u03b3\u03ae \u03c4\u03b7\u03c2 \u03b5\u03bb\u03b5\u03cd\u03b8\u03b5\u03c1\u03b7\u03c2, \u03b4\u03b7\u03bc\u03b9\u03bf\u03c5\u03c1\u03b3\u03b9\u03ba\u03ae\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03c0\u03b1\u03b3\u03c9\u03b3\u03b9\u03ba\u03ae\u03c2 \u03c3\u03ba\u03ad\u03c8\u03b7\u03c2","teaching_methods":"\u03a0\u03c1\u03cc\u03c3\u03c9\u03c0\u03bf \u03bc\u03b5 \u03c0\u03c1\u03cc\u03c3\u03c9\u03c0\u03bf (\u03a3\u03c4\u03b7\u03bd \u03b1\u03af\u03b8\u03bf\u03c5\u03c3\u03b1 \u03b4\u03b9\u03b4\u03b1\u03c3\u03ba\u03b1\u03bb\u03af\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf \u03b5\u03c1\u03b3\u03b1\u03c3\u03c4\u03ae\u03c1\u03b9\u03bf)","ict_usage":"\u2022 \u0391\u03bd\u03ac\u03c0\u03c4\u03c5\u03be\u03b7 \u03b1\u03bb\u03b3\u03bf\u03c1\u03af\u03b8\u03bc\u03c9\u03bd \u03c3\u03b5 HTML\/JavaScript\r\n\u2022 \u0397\u03bb\u03b5\u03ba\u03c4\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03c0\u03bb\u03b1\u03c4\u03c6\u03cc\u03c1\u03bc\u03b1 \u03bc\u03ac\u03b8\u03b7\u03c3\u03b7\u03c2\r\n\u2022 \u0397\u03bb\u03b5\u03ba\u03c4\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03b1\u03bb\u03bb\u03b7\u03bb\u03bf\u03b3\u03c1\u03b1\u03c6\u03af\u03b1","teaching_organization":{"activity_1":{"description":"\u0394\u03b9\u03b1\u03bb\u03ad\u03be\u03b5\u03b9\u03c2","workload":26},"activity_2":{"description":"\u0395\u03c1\u03b3\u03b1\u03c3\u03c4\u03b7\u03c1\u03b9\u03b1\u03ba\u03ad\u03c2 \u03b1\u03c3\u03ba\u03ae\u03c3\u03b5\u03b9\u03c2","workload":13},"activity_3":{"description":"\u0395\u03c1\u03b3\u03b1\u03c3\u03c4\u03b7\u03c1\u03b9\u03b1\u03ba\u03ae \u0395\u03c1\u03b3\u03b1\u03c3\u03af\u03b1","workload":37},"activity_4":{"description":"\u0391\u03c5\u03c4\u03bf\u03c4\u03b5\u03bb\u03ae\u03c2 \u039c\u03b5\u03bb\u03ad\u03c4\u03b7","workload":44},"activity_5":{"description":"","workload":""},"activity_6":{"description":"","workload":""}},"students_evaluation":"\u0393\u03bb\u03ce\u03c3\u03c3\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2: \u0395\u03bb\u03bb\u03b7\u03bd\u03b9\u03ba\u03ae.\r\n\u0394\u03bf\u03ba\u03b9\u03bc\u03b1\u03c3\u03af\u03b1 \u03a0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03ae\u03c2 \u0395\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae\u03c2, \u0395\u03c1\u03c9\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03a3\u03cd\u03bd\u03c4\u03bf\u03bc\u03b7\u03c2 \u0391\u03c0\u03ac\u03bd\u03c4\u03b7\u03c3\u03b7\u03c2, \u0395\u03c0\u03af\u03bb\u03c5\u03c3\u03b7 \u03a0\u03c1\u03bf\u03b2\u03bb\u03b7\u03bc\u03ac\u03c4\u03c9\u03bd, \u0395\u03c1\u03b3\u03b1\u03c3\u03c4\u03b7\u03c1\u03b9\u03b1\u03ba\u03ae \u0395\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\r\n\r\n\u039a\u03c1\u03b9\u03c4\u03ae\u03c1\u03b9\u03b1 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2:\r\n<ul>\r\n \t<li>\u03a3\u03c4\u03bf \u03b8\u03b5\u03c9\u03c1\u03b7\u03c4\u03b9\u03ba\u03cc \u03bc\u03ad\u03c1\u03bf\u03c2: \u03b7 \u03b5\u03c0\u03af\u03b4\u03bf\u03c3\u03b7 \u0394\u03bf\u03ba\u03b9\u03bc\u03b1\u03c3\u03af\u03b1\u03c2 \u03a0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03ae\u03c2 \u0395\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae\u03c2<\/li>\r\n \t<li>\u03a3\u03c4\u03bf \u03b5\u03c1\u03b3\u03b1\u03c3\u03c4\u03b7\u03c1\u03b9\u03b1\u03ba\u03cc \u03bc\u03ad\u03c1\u03bf\u03c2: \u03c0\u03bf\u03c3\u03cc\u03c3\u03c4\u03c9\u03c3\u03b7 \u03b5\u03c0\u03af \u03c4\u03c9\u03bd \u03b5\u03c0\u03b9\u03b4\u03cc\u03c3\u03b5\u03c9\u03bd \u0395\u03c0\u03af\u03bb\u03c5\u03c3\u03b7\u03c2 \u03a0\u03c1\u03bf\u03b2\u03bb\u03b7\u03bc\u03ac\u03c4\u03c9\u03bd \u03ba\u03b1\u03b9 \u0395\u03c1\u03b3\u03b1\u03c3\u03c4\u03b7\u03c1\u03b9\u03b1\u03ba\u03ae\u03c2 \u0395\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2.<\/li>\r\n<\/ul>","bib_textbooks":"\u2022 CORMEN T.H., LEISERSON CH.E., RIVEST R.L., STEIN C., \u0395\u03b9\u03c3\u03b1\u03b3\u03c9\u03b3\u03ae \u03c3\u03c4\u03bf\u03c5\u03c2 \u03b1\u03bb\u03b3\u03bf\u03c1\u03af\u03b8\u03bc\u03bf\u03c5\u03c2, \u03a4\u03cc\u03bc\u03bf\u03c2 \u0391, \u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03b9\u03b1\u03ba\u03ad\u03c2 \u0395\u03ba\u03b4\u03cc\u03c3\u03b5\u03b9\u03c2 \u039a\u03c1\u03ae\u03c4\u03b7\u03c2, 2006\r\n\u2022 LIU C.L., \u03a3\u03c4\u03bf\u03b9\u03c7\u03b5\u03af\u03b1 \u03b4\u03b9\u03b1\u03ba\u03c1\u03b9\u03c4\u03ce\u03bd \u03bc\u03b1\u03b8\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ce\u03bd, \u0399\u03a4\u0395\/\u03a0\u03b1\u03bd\u03b5\u03c0\u03b9\u03c3\u03c4\u03b7\u03bc\u03b9\u03b1\u03ba\u03ad\u03c2 \u03b5\u03ba\u03b4\u03cc\u03c3\u03b5\u03b9\u03c2 \u039a\u03c1\u03ae\u03c4\u03b7\u03c2, 2009","bib_journals":""},"_links":{"self":[{"href":"https:\/\/www.topogeo.ihu.gr\/en\/wp-json\/wp\/v2\/course\/1696"}],"collection":[{"href":"https:\/\/www.topogeo.ihu.gr\/en\/wp-json\/wp\/v2\/course"}],"about":[{"href":"https:\/\/www.topogeo.ihu.gr\/en\/wp-json\/wp\/v2\/types\/course"}],"author":[{"embeddable":true,"href":"https:\/\/www.topogeo.ihu.gr\/en\/wp-json\/wp\/v2\/users\/6"}],"version-history":[{"count":8,"href":"https:\/\/www.topogeo.ihu.gr\/en\/wp-json\/wp\/v2\/course\/1696\/revisions"}],"predecessor-version":[{"id":2503,"href":"https:\/\/www.topogeo.ihu.gr\/en\/wp-json\/wp\/v2\/course\/1696\/revisions\/2503"}],"acf:term":[{"embeddable":true,"taxonomy":"course_type","href":"https:\/\/www.topogeo.ihu.gr\/en\/wp-json\/wp\/v2\/course_type\/64"},{"embeddable":true,"taxonomy":"semester","href":"https:\/\/www.topogeo.ihu.gr\/en\/wp-json\/wp\/v2\/semester\/38"}],"wp:attachment":[{"href":"https:\/\/www.topogeo.ihu.gr\/en\/wp-json\/wp\/v2\/media?parent=1696"}],"wp:term":[{"taxonomy":"semester","embeddable":true,"href":"https:\/\/www.topogeo.ihu.gr\/en\/wp-json\/wp\/v2\/semester?post=1696"},{"taxonomy":"course_type","embeddable":true,"href":"https:\/\/www.topogeo.ihu.gr\/en\/wp-json\/wp\/v2\/course_type?post=1696"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}