{"id":1601,"date":"2023-07-16T16:58:06","date_gmt":"2023-07-16T13:58:06","guid":{"rendered":"http:\/\/www.accis.ihu.gr\/?post_type=course&#038;p=1601"},"modified":"2025-09-26T21:48:01","modified_gmt":"2025-09-26T18:48:01","slug":"283-250601","status":"publish","type":"course","link":"https:\/\/www.accis.ihu.gr\/en\/courses\/283-250601\/","title":{"rendered":"Applied Artificial Intelligence"},"author":6,"template":"","meta":[],"semester":[39],"course_type":[12],"acf":{"code":"283-250601","semester":39,"level":"1","teaching_activities":{"activity_1":{"description":"\u0394\u03b9\u03b1\u03bb\u03ad\u03be\u03b5\u03b9\u03c2- \u0391\u03c3\u03ba\u03ae\u03c3\u03b5\u03b9\u03c2 \u03a0\u03c1\u03ac\u03be\u03b7\u03c2","weekly_hrs":3,"ects":6},"activity_2":{"description":"","weekly_hrs":"","ects":""},"activity_3":{"description":"","weekly_hrs":"","ects":""},"activity_4":{"description":"","weekly_hrs":"","ects":""},"activity_5":{"description":"","weekly_hrs":"","ects":""}},"type":12,"language":"\u0395\u03bb\u03bb\u03b7\u03bd\u03b9\u03ba\u03ac","erasmus":"\u038c\u03c7\u03b9","url":"https:\/\/moodle.teithe.gr\/","prerequisites":"","instructors":[1346],"coordinator":"","content":"\u0395\u03b9\u03c3\u03b1\u03b3\u03c9\u03b3\u03ae \u03c3\u03c4\u03bf Data Mining, \u0395\u03af\u03b4\u03b7 \u0395\u03be\u03b1\u03b3\u03cc\u03bc\u03b5\u03bd\u03b7\u03c2 \u0393\u03bd\u03ce\u03c3\u03b7\u03c2, \u03a3\u03c4\u03ac\u03b4\u03b9\u03b1 \u03c3\u03c4\u03b7\u03bd \u0395\u03be\u03b1\u03b3\u03c9\u03b3\u03ae \u03c4\u03b7\u03c2 \u0393\u03bd\u03ce\u03c3\u03b7\u03c2, \u0395\u03af\u03b4\u03b7 \u0394\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03b3\u03b9\u03b1 \u0395\u03be\u03cc\u03c1\u03c5\u03be\u03b7, \u0395\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ad\u03c2 \u03c4\u03bf\u03c5 Data Mining \u03c3\u03c4\u03b1 \u039f\u03b9\u03ba\u03bf\u03bd\u03bf\u03bc\u03b9\u03ba\u03ac \u03ba\u03b1\u03b9 \u03c4\u03b7\u03bd \u039b\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03a0\u03c1\u03bf\u03b5\u03c0\u03b5\u03be\u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1 \u0394\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd, \u03a7\u03b1\u03bc\u03ad\u03bd\u03b5\u03c2 \u03c4\u03b9\u03bc\u03ad\u03c2, \u0398\u03cc\u03c1\u03c5\u03b2\u03bf\u03c2, \u039a\u03b1\u03bd\u03bf\u03bd\u03b9\u03ba\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u0394\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u0395\u03be\u03cc\u03c1\u03c5\u03be\u03b7 \u039a\u03b1\u03bd\u03cc\u03bd\u03c9\u03bd \u03a3\u03c7\u03ad\u03c3\u03b7\u03c2, \u0391\u03bd\u03c4\u03b9\u03ba\u03b5\u03b9\u03bc\u03b5\u03bd\u03bf\u03c3\u03cd\u03bd\u03bf\u03bb\u03b1, Apriori, Support, Confidence, Lift, \u03a0\u03bf\u03bb\u03c5\u03b4\u03b9\u03ac\u03c3\u03c4\u03b1\u03c4\u03bf\u03b9 \u039a\u03b1\u03bd\u03cc\u03bd\u03b5\u03c2 \u03a3\u03c7\u03ad\u03c3\u03b7\u03c2, \u0391\u03c1\u03b9\u03b8\u03bc\u03b7\u03c4\u03b9\u03ba\u03ac \u03a0\u03b5\u03b4\u03af\u03b1 \u039a\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03b9\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03a0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7, \u0395\u03c0\u03b9\u03b2\u03bb\u03b5\u03c0\u03cc\u03bc\u03b5\u03bd\u03b7 \u039c\u03ac\u03b8\u03b7\u03c3\u03b7, \u0395\u03c0\u03b9\u03ba\u03cd\u03c1\u03c9\u03c3\u03b7, Data Overfitting, \u03a3\u03c4\u03ac\u03b4\u03b9\u03b1 \u03c3\u03c4\u03b7\u03bd \u039a\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03b9\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7, \u039a\u03c1\u03b9\u03c4\u03ae\u03c1\u03b9\u03b1 \u0391\u03c0\u03bf\u03c4\u03af\u03bc\u03b7\u03c3\u03b7\u03c2 \u039c\u03b5\u03b8\u03cc\u03b4\u03c9\u03bd \u039a\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03b9\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7\u03c2 \u0394\u03ad\u03bd\u03b4\u03c1\u03b1 \u0391\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03c9\u03bd, ID3, C4.5, \u0395\u03bd\u03c4\u03c1\u03bf\u03c0\u03af\u03b1, \u039a\u03ad\u03c1\u03b4\u03bf\u03c2 \u03a0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03af\u03b1\u03c2, \u039a\u03bb\u03ac\u03b4\u03b5\u03bc\u03b1, \u0398\u03c1\u03c5\u03bc\u03bc\u03b1\u03c4\u03b9\u03c3\u03bc\u03cc\u03c2, \u0395\u03c0\u03b1\u03bd\u03ac\u03bb\u03b7\u03c8\u03b7, \u03a0\u03bb\u03b5\u03bf\u03bd\u03b5\u03ba\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03ba\u03b1\u03b9 \u039c\u03b5\u03b9\u03bf\u03bd\u03b5\u03ba\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u0394\u03ad\u03bd\u03b4\u03c1\u03c9\u03bd \u0391\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03c9\u03bd \u039c\u03c0\u03b1\u03cb\u03b5\u03c3\u03b9\u03bd\u03ac \u0394\u03af\u03ba\u03c4\u03c5\u03b1 \u03a0\u03af\u03c3\u03c4\u03b5\u03c9\u03c2, \u0398\u03b5\u03ce\u03c1\u03b7\u03bc\u03b1 Bayes, \u0391\u03c6\u03b5\u03bb\u03b5\u03af\u03c2 \u039c\u03c0\u03b1\u03cb\u03b5\u03c3\u03b9\u03b1\u03bd\u03bf\u03af \u039a\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03b9\u03bf\u03c0\u03bf\u03b9\u03b7\u03c4\u03ad\u03c2, \u039c\u03c0\u03b1\u03cb\u03b5\u03c3\u03b9\u03b1\u03bd\u03ac \u0394\u03af\u03ba\u03c4\u03c5\u03b1, \u0391\u03ba\u03c5\u03ba\u03bb\u03b9\u03ba\u03bf\u03af \u0393\u03c1\u03ac\u03c6\u03bf\u03b9, Conditional Probability Tables, \u03a0\u03bb\u03b5\u03bf\u03bd\u03b5\u03ba\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03ba\u03b1\u03b9 \u039c\u03b5\u03b9\u03bf\u03bd\u03b5\u03ba\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u039c\u03c0\u03b1\u03cb\u03b5\u03c3\u03b9\u03b1\u03bd\u03ce\u03bd \u0394\u03b9\u03ba\u03c4\u03cd\u03c9\u03bd Instance Based Classifiers, k-\u03a0\u03bb\u03b7\u03c3\u03b9\u03ad\u03c3\u03c4\u03b5\u03c1\u03bf\u03b9 \u0393\u03b5\u03af\u03c4\u03bf\u03bd\u03b5\u03c2, \u0395\u03c5\u03ba\u03bb\u03b5\u03af\u03b4\u03b5\u03b9\u03b1 \u0391\u03c0\u03cc\u03c3\u03c4\u03b1\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03b5\u03bd\u03b1\u03bb\u03bb\u03b1\u03ba\u03c4\u03b9\u03ba\u03ad\u03c2, \u03a0\u03bb\u03b5\u03bf\u03bd\u03b5\u03ba\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03ba\u03b1\u03b9 \u039c\u03b5\u03b9\u03bf\u03bd\u03b5\u03ba\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 IBCs, \u03a3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03a0\u03b1\u03bb\u03b9\u03bd\u03b4\u03c1\u03cc\u03bc\u03b7\u03c3\u03b7, \u0393\u03c1\u03b1\u03bc\u03bc\u03b9\u03ba\u03ae \u03ba\u03b1\u03b9 \u03a0\u03bf\u03bb\u03c5\u03c9\u03bd\u03c5\u03bc\u03b9\u03ba\u03ae \u03a0\u03b1\u03bb\u03b9\u03bd\u03b4\u03c1\u03cc\u03bc\u03b7\u03c3\u03b7, Logistic Regression, \u03a0\u03bb\u03b5\u03bf\u03bd\u03b5\u03ba\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03ba\u03b1\u03b9 \u039c\u03b5\u03b9\u03bf\u03bd\u03b5\u03ba\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1. \u039c\u03b7\u03c7\u03b1\u03bd\u03ad\u03c2 \u0394\u03b9\u03b1\u03bd\u03c5\u03c3\u03bc\u03ac\u03c4\u03c9\u03bd \u03a5\u03c0\u03bf\u03c3\u03c4\u03ae\u03c1\u03b9\u03be\u03b7\u03c2,, \u03c7\u03ce\u03c1\u03bf\u03c2 Hilbert, \u03a0\u03b5\u03c1\u03b9\u03b8\u03ce\u03c1\u03b9\u03b1, \u0392\u03ad\u03bb\u03c4\u03b9\u03c3\u03c4\u03b7 \u039a\u03b1\u03bc\u03c0\u03cd\u03bb\u03b7, \u03a0\u03bb\u03b5\u03bf\u03bd\u03b5\u03ba\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03ba\u03b1\u03b9 \u039c\u03b5\u03b9\u03bf\u03bd\u03b5\u03ba\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1, \u0393\u03b5\u03bd\u03b5\u03c4\u03b9\u03ba\u03bf\u03af \u0391\u03bb\u03b3\u03cc\u03c1\u03b9\u03b8\u03bc\u03bf\u03b9, \u03a0\u03bb\u03b7\u03b8\u03c5\u03c3\u03bc\u03bf\u03af, \u0393\u03b5\u03bd\u03b5\u03c4\u03b9\u03ba\u03bf\u03af \u03a4\u03b5\u03bb\u03b5\u03c3\u03c4\u03ad\u03c2, \u03a0\u03bb\u03b5\u03bf\u03bd\u03b5\u03ba\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u03ba\u03b1\u03b9 \u039c\u03b5\u03b9\u03bf\u03bd\u03b5\u03ba\u03c4\u03ae\u03bc\u03b1\u03c4\u03b1 \u039a\u03b1\u03c4\u03b7\u03b3\u03bf\u03c1\u03b9\u03bf\u03c0\u03bf\u03af\u03b7\u03c3\u03b7 - \u0395\u03b9\u03b4\u03b9\u03ba\u03ac \u0398\u03ad\u03bc\u03b1\u03c4\u03b1, \u0395\u03c0\u03b9\u03ba\u03cd\u03c1\u03c9\u03c3\u03b7, Holdout set, Cross validation, Jackknife, Bootstrap, \u0391\u03bd\u03ac \u039a\u03bb\u03ac\u03c3\u03b7 \u0395\u03c0\u03b9\u03b4\u03cc\u03c3\u03b5\u03b9\u03c2, \u039a\u03b1\u03bc\u03c0\u03cd\u03bb\u03b5\u03c2 ROC, \u0391\u03cd\u03be\u03b7\u03c3\u03b7 \u0395\u03c0\u03b9\u03b4\u03cc\u03c3\u03b5\u03c9\u03bd, Bagging \u0395\u03c6\u03b1\u03c1\u03bc\u03bf\u03b3\u03ad\u03c2 Data Mining \u03c3\u03c4\u03b7 \u039b\u03bf\u03b3\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae, \u03a0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03a7\u03c1\u03b5\u03bf\u03ba\u03bf\u03c0\u03af\u03b1\u03c2, Going Concern, \u03a0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u03a3\u03c7\u03bf\u03bb\u03af\u03c9\u03bd \u0395\u03be\u03c9\u03c4\u03b5\u03c1\u03b9\u03ba\u03ce\u03bd \u0395\u03bb\u03b5\u03b3\u03ba\u03c4\u03ce\u03bd, \u0395\u03bd\u03c4\u03bf\u03c0\u03b9\u03c3\u03bc\u03cc\u03c2 \u0391\u03c0\u03ac\u03c4\u03b7\u03c2, \u0395\u03ba\u03c4\u03af\u03bc\u03b7\u03c3\u03b7 \u03a0\u03b9\u03c3\u03c4\u03bf\u03bb\u03b7\u03c0\u03c4\u03b9\u03ba\u03bf\u03cd \u039a\u03b9\u03bd\u03b4\u03cd\u03bd\u03bf\u03c5, \u03a0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 \u0395\u03c0\u03b9\u03b4\u03cc\u03c3\u03b5\u03c9\u03bd \u0395\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03ae\u03c3\u03b5\u03c9\u03bd.","goals":"\u03a3\u03ba\u03bf\u03c0\u03cc\u03c2 \u03c4\u03bf\u03c5 \u03bc\u03b1\u03b8\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b5\u03b9\u03c3\u03ac\u03b3\u03b5\u03b9 \u03c4\u03bf\u03bd \u03c6\u03bf\u03b9\u03c4\u03b7\u03c4\u03ae \u03c3\u03c4\u03b9\u03c2 \u03b2\u03b1\u03c3\u03b9\u03ba\u03ad\u03c2 \u03ad\u03bd\u03bd\u03bf\u03b9\u03b5\u03c2 ...\r\n\r\n\u039c\u03b5 \u03c4\u03b7\u03bd \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03ae \u03bf\u03bb\u03bf\u03ba\u03bb\u03ae\u03c1\u03c9\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03bc\u03b1\u03b8\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03bf \u03c6\u03bf\u03b9\u03c4\u03b7\u03c4\u03ae\u03c2\/\u03c4\u03c1\u03b9\u03b1 \u03b8\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03b5 \u03b8\u03ad\u03c3\u03b7:\r\n<ul>\r\n \t<li>\u039d\u03b1 \u03b1\u03bd\u03b1\u03bb\u03cd\u03b5\u03b9 \u03c4\u03b7\u03bd...<\/li>\r\n \t<li>\u039d\u03b1 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03c4\u03b9\u03c2...<\/li>\r\n \t<li>\u039d\u03b1 \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03b5\u03af \u03c4\u03bf...<\/li>\r\n \t<li>\u039d\u03b1 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03c4\u03b1...<\/li>\r\n<\/ul>","skills":"<ul>\r\n \t<li>\u0391\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7, \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c3\u03b7 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03ba\u03b1\u03b9 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03b9\u03ce\u03bd, \u03bc\u03b5 \u03c4\u03b7 \u03c7\u03c1\u03ae\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03c9\u03bd \u03b1\u03c0\u03b1\u03c1\u03b1\u03af\u03c4\u03b7\u03c4\u03c9\u03bd \u03c4\u03b5\u03c7\u03bd\u03bf\u03bb\u03bf\u03b3\u03b9\u03ce\u03bd<\/li>\r\n \t<li>\u039b\u03ae\u03c8\u03b7 \u03b1\u03c0\u03bf\u03c6\u03ac\u03c3\u03b5\u03c9\u03bd<\/li>\r\n \t<li>\u0391\u03c5\u03c4\u03cc\u03bd\u03bf\u03bc\u03b7 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1<\/li>\r\n \t<li>\u039f\u03bc\u03b1\u03b4\u03b9\u03ba\u03ae \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1<\/li>\r\n \t<li>\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<\/li>\r\n \t<li>\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<\/li>\r\n \t<li>\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<\/li>\r\n \t<li>\u03a3\u03c7\u03b5\u03b4\u03b9\u03b1\u03c3\u03bc\u03cc\u03c2 \u03ba\u03b1\u03b9 \u03b4\u03b9\u03b1\u03c7\u03b5\u03af\u03c1\u03b9\u03c3\u03b7 \u03ad\u03c1\u03b3\u03c9\u03bd<\/li>\r\n \t<li>\u0386\u03c3\u03ba\u03b7\u03c3\u03b7 \u03ba\u03c1\u03b9\u03c4\u03b9\u03ba\u03ae\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03c5\u03c4\u03bf\u03ba\u03c1\u03b9\u03c4\u03b9\u03ba\u03ae\u03c2<\/li>\r\n \t<li>\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<\/li>\r\n<\/ul>","teaching_methods":"\u03a0\u03c1\u03cc\u03c3\u03c9\u03c0\u03bf \u03bc\u03b5 \u03c0\u03c1\u03cc\u03c3\u03c9\u03c0\u03bf, \u0395\u03be \u03b1\u03c0\u03bf\u03c3\u03c4\u03ac\u03c3\u03b5\u03c9\u03c2 \u03b1\u03c3\u03cd\u03b3\u03c7\u03c1\u03bf\u03bd\u03b7 \u03b5\u03ba\u03c0\u03b1\u03af\u03b4\u03b5\u03c5\u03c3\u03b7, \u0391\u03c3\u03ba\u03ae\u03c3\u03b5\u03b9\u03c2 \u03a0\u03c1\u03ac\u03be\u03b7\u03c2","ict_usage":"\u03a7\u03c1\u03ae\u03c3\u03b7 \u03b4\u03b9\u03b1\u03c6\u03b1\u03bd\u03b5\u03b9\u03ce\u03bd Power Point, \u03b1\u03bd\u03ac\u03c1\u03c4\u03b7\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03b5\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03c5\u03c4\u03b9\u03ba\u03bf\u03cd \u03c5\u03bb\u03b9\u03ba\u03bf\u03cd \u03c3\u03c4\u03bf Moodle, \u03b7\u03bb\u03b5\u03ba\u03c4\u03c1\u03bf\u03bd\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03ba\u03bf\u03b9\u03bd\u03c9\u03bd\u03af\u03b1 \u03bc\u03b5 \u03c4\u03bf\u03c5\u03c2 \u03c6\u03bf\u03b9\u03c4\u03b7\u03c4\u03ad\u03c2.","teaching_organization":{"activity_1":{"description":"\u0394\u03b9\u03b1\u03bb\u03ad\u03be\u03b5\u03b9\u03c2","workload":39},"activity_2":{"description":"\u0395\u03ba\u03c0\u03cc\u03bd\u03b7\u03c3\u03b7 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2","workload":40},"activity_3":{"description":"\u0391\u03c5\u03c4\u03bf\u03c4\u03b5\u03bb\u03ae\u03c2 \u039c\u03b5\u03bb\u03ad\u03c4\u03b7","workload":71},"activity_4":{"description":"","workload":""},"activity_5":{"description":"","workload":""},"activity_6":{"description":"","workload":""}},"students_evaluation":"\u0397 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7 \u03c4\u03c9\u03bd \u03c6\u03bf\u03b9\u03c4\u03b7\u03c4\u03ce\u03bd \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03ba\u03b1\u03c4\u03ac 60% \u03bc\u03b5 \u03b3\u03c1\u03b1\u03c0\u03c4\u03ad\u03c2 \u03b5\u03be\u03b5\u03c4\u03ac\u03c3\u03b5\u03b9\u03c2 \u03c0\u03bf\u03c5 \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03bf\u03c5\u03bd \u03b5\u03c1\u03c9\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03ae\u03c2 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae\u03c2, \u03b5\u03c1\u03c9\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03a3\u03c9\u03c3\u03c4\u03bf\u03cd\/\u039b\u03ac\u03b8\u03bf\u03c5\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03c1\u03c9\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c3\u03cd\u03bd\u03c4\u03bf\u03bc\u03b7\u03c2 \u03b1\u03bd\u03ac\u03c0\u03c4\u03c5\u03be\u03b7\u03c2 \u039a\u03b1\u03c4\u03ac 40% \u03b7 \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b2\u03b1\u03b8\u03bc\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 \u03c0\u03c1\u03bf\u03ba\u03cd\u03c0\u03c4\u03b5\u03b9 \u03b1\u03c0\u03cc \u03b5\u03ba\u03c0\u03cc\u03bd\u03b7\u03c3\u03b7 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2.","bib_textbooks":"\u0395\u03c0\u03b9\u03c7\u03b5\u03b9\u03c1\u03b7\u03bc\u03b1\u03c4\u03b9\u03ba\u03ae \u0395\u03c5\u03c6\u03c5\u0390\u03b1 \u03ba\u03b1\u03b9 \u0395\u03be\u03cc\u03c1\u03c5\u03be\u03b7 \u0394\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd, \u039a\u03cd\u03c1\u03ba\u03bf\u03c2 \u0395., \u03a3\u0395\u0391\u0392 Han and Camber, Data Mining concepts and techniques, Morgan Kaufman","bib_journals":"<ul>\r\n \t<li>Expert Systems with Applications (Elsevier)<\/li>\r\n \t<li>Intelligent Systems in Accounting Finance and Management (Wiley)<\/li>\r\n \t<li>Journal of Emerging Technologies in Accounting (American Accounting Association)<\/li>\r\n<\/ul>"},"_links":{"self":[{"href":"https:\/\/www.accis.ihu.gr\/en\/wp-json\/wp\/v2\/course\/1601"}],"collection":[{"href":"https:\/\/www.accis.ihu.gr\/en\/wp-json\/wp\/v2\/course"}],"about":[{"href":"https:\/\/www.accis.ihu.gr\/en\/wp-json\/wp\/v2\/types\/course"}],"author":[{"embeddable":true,"href":"https:\/\/www.accis.ihu.gr\/en\/wp-json\/wp\/v2\/users\/6"}],"version-history":[{"count":12,"href":"https:\/\/www.accis.ihu.gr\/en\/wp-json\/wp\/v2\/course\/1601\/revisions"}],"predecessor-version":[{"id":3672,"href":"https:\/\/www.accis.ihu.gr\/en\/wp-json\/wp\/v2\/course\/1601\/revisions\/3672"}],"acf:post":[{"embeddable":true,"href":"https:\/\/www.accis.ihu.gr\/en\/wp-json\/wp\/v2\/staff\/1346"}],"acf:term":[{"embeddable":true,"taxonomy":"course_type","href":"https:\/\/www.accis.ihu.gr\/en\/wp-json\/wp\/v2\/course_type\/12"},{"embeddable":true,"taxonomy":"semester","href":"https:\/\/www.accis.ihu.gr\/en\/wp-json\/wp\/v2\/semester\/39"}],"wp:attachment":[{"href":"https:\/\/www.accis.ihu.gr\/en\/wp-json\/wp\/v2\/media?parent=1601"}],"wp:term":[{"taxonomy":"semester","embeddable":true,"href":"https:\/\/www.accis.ihu.gr\/en\/wp-json\/wp\/v2\/semester?post=1601"},{"taxonomy":"course_type","embeddable":true,"href":"https:\/\/www.accis.ihu.gr\/en\/wp-json\/wp\/v2\/course_type?post=1601"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}