{"id":7007,"date":"2026-05-18T13:50:05","date_gmt":"2026-05-18T13:50:05","guid":{"rendered":"http:\/\/pstknu.local\/academics\/master\/coursework-topics\/"},"modified":"2026-08-05T15:07:00","modified_gmt":"2026-08-05T12:07:00","slug":"coursework-topics","status":"publish","type":"page","link":"https:\/\/pst.knu.ua\/en\/academics\/master\/coursework-topics\/","title":{"rendered":"Topics of coursework \u2014 Master"},"content":{"rendered":"<p style=\"font-size:17px;line-height:1.65;\">List of topical topics Topics of coursework \u2014 Master. Topics are grouped by supervisors. The student can choose the proposed topic or agree his own with the supervisor.<\/p>\n<style>\n.tbs-wrapper { margin: 24px 0; }\n.tbs-group { background:#fff; border:1px solid #e6e3dd; border-radius:8px; padding:20px 24px; margin-bottom:18px; }\n.tbs-supervisor { display:flex; align-items:center; gap:16px; margin-bottom:14px; padding-bottom:14px; border-bottom:1px solid #f0ede5; }\n.tbs-photo { width:72px; height:72px; border-radius:50%; overflow:hidden; background:#fafaf7; flex-shrink:0; display:flex; align-items:center; justify-content:center; }\n.tbs-photo img { width:100%; height:100%; object-fit:cover; }\n.tbs-name { font-family:\"Fraunces\",Georgia,serif; font-size:18px; color:#0c0c0c; font-weight:600; margin:0 0 4px; }\n.tbs-count { font-size:13px; color:#888; font-family:\"JetBrains Mono\",monospace; }\n.tbs-topic { padding:10px 0; border-bottom:1px solid #f0ede5; }\n.tbs-topic:last-child { border-bottom:0; }\n.tbs-topic-title { font-weight:600; color:#0c0c0c; font-size:14.5px; }\n.tbs-topic-desc { font-size:13.5px; color:#666; margin-top:4px; line-height:1.55; }\n.tbs-topic-tags { display:inline-block; font-size:12px; color:#666; margin-top:6px; padding:3px 9px; background:#fafaf7; border-radius:4px; font-family:\"JetBrains Mono\",monospace; }\n.tbs-orphan-title { color:#b85c00 !important; }\n<\/style><div class=\"tbs-wrapper\"><div class=\"tbs-group\"><div class=\"tbs-supervisor\"><div class=\"tbs-photo\"><svg width=\"40\" height=\"40\" viewbox=\"0 0 24 24\" fill=\"#d0cbc0\"><path d=\"M12 12c2.21 0 4-1.79 4-4s-1.79-4-4-4-4 1.79-4 4 1.79 4 4 4zm0 2c-2.67 0-8 1.34-8 4v2h16v-2c0-2.66-5.33-4-8-4z\"\/><\/svg><\/div><div><h3 class=\"tbs-name\"><a href=\"https:\/\/pst.knu.ua\/en\/staff\/bychkov-oleksii\/\" style=\"text-decoration:none;color:inherit;\">Bychkov Oleksii Serhiiovych<\/a><\/h3><div class=\"tbs-count\">10 topics<\/div><\/div><\/div><div class=\"tbs-topic\"><div class=\"tbs-topic-title\">Analysis and prototyping of explainability techniques (Xai) for medical diagnostic models<\/div><div class=\"tbs-topic-desc\"><p>Implementation and comparison of LIME, shap, Grad-CAM, Integrated Gradients on the Dr.Case model. Report with recommendations for embedding explanations in the doctor's interface.<\/p>\n<\/div><div class=\"tbs-topic-tags\">XAI, interpretability<\/div><\/div><div class=\"tbs-topic\"><div class=\"tbs-topic-title\">Analysis of the literature on multi-agent reinforcement learning and selection of an algorithm for a master's project<\/div><div class=\"tbs-topic-desc\"><p>Review of QMIX, MADDPG, MAPPO, IPPO, VDN, Coma. Comparison table by computational complexity, scalability, learning center. Justification of selection for the specific task of coordinating agents.<\/p>\n<\/div><div class=\"tbs-topic-tags\">LITERATURE REVIEW<\/div><\/div><div class=\"tbs-topic\"><div class=\"tbs-topic-title\">Analysis of the literature and reproduction of the som + Focal-Loss NN architecture of the Dr.Case system on its own dataset<\/div><div class=\"tbs-topic-desc\"><p>Independent reproduction of the TwoBranchNN_BMU_Focal architecture on a synthetic medical building. Benchmark vs. simpler logistic regression and CatBoost. Report with analysis of strengths and weaknesses of the approach.<\/p>\n<\/div><div class=\"tbs-topic-tags\">Reproducibility, Dr.Case<\/div><\/div><div class=\"tbs-topic\"><div class=\"tbs-topic-title\">Patent landscape analysis of medical diagnostic DSS and intelligent agent systems<\/div><div class=\"tbs-topic-desc\"><p>A systematic review of USPTO, EPO, WIPO patents over the past 5 years on the topic of medical CDSs. Identification of \"white spots\" \u2014 areas with little patent activity, suitable for further work.<\/p>\n<\/div><div class=\"tbs-topic-tags\">Patent landscape<\/div><\/div><div class=\"tbs-topic\"><div class=\"tbs-topic-title\">FocusedQuestionSelector vs Basic Question Engine Benchmark on Synthetic Medical Building<\/div><div class=\"tbs-topic-desc\"><p>Creating a corpus of 1000 synthetic diagnostic sessions. Comparison of the average number of questions before the correct diagnosis. Analysis of the impact of symptom specificity.<\/p>\n<\/div><div class=\"tbs-topic-tags\">Active learning, benchmarking<\/div><\/div><div class=\"tbs-topic\"><div class=\"tbs-topic-title\">Experimental evaluation of SymptomDrivenDiscovery on artificially \"hidden\" diagnoses<\/div><div class=\"tbs-topic-desc\"><p>Preparation of a test set in which key symptoms are deliberately excluded from the training dataset. Measurement of the ability of the v2.0 module to detect such diagnoses due to pathognomonic symptoms.<\/p>\n<\/div><div class=\"tbs-topic-tags\">Rare disease, Dr.Case<\/div><\/div><div class=\"tbs-topic\"><div class=\"tbs-topic-title\">Experimental study of Focal Loss vs Cross-Entropy for unbalanced medical classes<\/div><div class=\"tbs-topic-desc\"><p>Systematic comparison of loss functions at different levels of imbalance (1:10, 1:100, 1:1000). Selection of hyperparameters \u03b3 and \u03b1. Training schedules, ROC, PR curves.<\/p>\n<\/div><div class=\"tbs-topic-tags\">Loss functions, imbalance<\/div><\/div><div class=\"tbs-topic\"><div class=\"tbs-topic-title\">Experimental study of entropy metrics in Question Engine with different distributions of hypotheses<\/div><div class=\"tbs-topic-desc\"><p>Comparison of Shannon entropy, Renyi entropy, Tsallis entropy as the basis of Expected Information Gain. Analysis of behavior in \"flat\" and \"acute\" distributions.<\/p>\n<\/div><div class=\"tbs-topic-tags\">Information theory<\/div><\/div><div class=\"tbs-topic\"><div class=\"tbs-topic-title\">Prototype pipeline for reprocessing radiographs for further study in the master's thesis<\/div><div class=\"tbs-topic-desc\"><p>Implementation of the standard pipeline: histogram equalization, lung segmentation (UNet), data augmentation. Preparation of a dataset with 1000+ images from public sources.<\/p>\n<\/div><div class=\"tbs-topic-tags\">Image preprocessing<\/div><\/div><div class=\"tbs-topic\"><div class=\"tbs-topic-title\">Prototype of extracting medical terms from electronic medical records (Medical NER)<\/div><div class=\"tbs-topic-desc\"><p>Fine-tuning XLM-RoBERTa or UkrLaBSE on a small corpus of Ukrainian-language medical records. Metrics precision\/recall\/F1 on named entities (symptom, drug, diagnosis, dosage).<\/p>\n<\/div><div class=\"tbs-topic-tags\">NER, Ukrainian medical<\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>List of topical topics Topics of coursework \u2014 Master. Topics are grouped by supervisors. The student can choose the proposed topic or agree his own with the supervisor.<\/p>","protected":false},"author":1,"featured_media":0,"parent":7002,"menu_order":4,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-7007","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/pst.knu.ua\/en\/wp-json\/wp\/v2\/pages\/7007","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pst.knu.ua\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/pst.knu.ua\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/pst.knu.ua\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/pst.knu.ua\/en\/wp-json\/wp\/v2\/comments?post=7007"}],"version-history":[{"count":1,"href":"https:\/\/pst.knu.ua\/en\/wp-json\/wp\/v2\/pages\/7007\/revisions"}],"predecessor-version":[{"id":7628,"href":"https:\/\/pst.knu.ua\/en\/wp-json\/wp\/v2\/pages\/7007\/revisions\/7628"}],"up":[{"embeddable":true,"href":"https:\/\/pst.knu.ua\/en\/wp-json\/wp\/v2\/pages\/7002"}],"wp:attachment":[{"href":"https:\/\/pst.knu.ua\/en\/wp-json\/wp\/v2\/media?parent=7007"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}