Graduate School / Computer Engineering (MSc) (With Thesis) - Courses Yıl
1.Semester Course Plan
Course Code Course Name T+A+L Compulsory/Elective ECTS Group Course Count Mode of Delivery
LEE5001 Scientific Research Methods and Publication Ethics 3+0+0 Compulsory 6,5 Face To Face
LEE5002 Seminar 0+1+0 Compulsory 6,5 Face To Face
LEE_SEC Elective Courses (At least 6 courses must be successful) 3+0+0 Elective 19,5 3 Face To Face
BLM5001 Artificial Intellingence 3+0+0 Elective 6,5 Face To Face
BLM5002 Real-Time Systems Modeling 3+0+0 Elective 6,5 Face To Face
BLM5003 Sensor Networks 3+0+0 Elective 6,5 Face To Face
BLM5004 Heuristics 3+0+0 Elective 6,5 Face To Face
BLM5005 Human Machine Interaction 3+0+0 Elective 6,5 Face To Face
BLM5006 Neural Networks 3+0+0 Elective 6,5 Face To Face
BLM5007 Computer Networks 3+0+0 Elective 6,5 Face To Face
BLM5008 Digital Image Processing 3+0+0 Elective 6,5 Face To Face
BLM5009 Digital Signal Processing 3+0+0 Elective 6,5 Face To Face
BLM5010 Wireless Communications 3+0+0 Elective 6,5 Face To Face
BLM5011 Evolutionary Algorithms 3+0+0 Elective 6,5 Face To Face
BLM5012 Cryptography and Network Security 3+0+0 Elective 6,5 Face To Face
BLM5013 Data Mining 3+0+0 Elective 6,5 Face To Face
BLM5014 Web Mining 3+0+0 Elective 6,5 Face To Face
BLM5015 Big Data Analysis 3+0+0 Elective 6,5 Face To Face
BLM5016 Data Visualization 3+0+0 Elective 6,5 Face To Face
BLM5017 Advanced Scheduling Systems 3+0+0 Elective 6,5 Face To Face
BLM5018 Game Theory 3+0+0 Elective 6,5 Face To Face
BLM5019 Fuzzy Logic 3+0+0 Elective 6,5 Face To Face
BLM5020 Graph Theory and Applications 3+0+0 Elective 6,5 Face To Face
BLM5021 Machine Learning 3+0+0 Elective 6,5 Face To Face
BLM5022 Expert Systems 3+0+0 Elective 6,5 Face To Face
BLM5023 Natural Language Processing 3+0+0 Elective 6,5 Face To Face
BLM5024 Image analysis in digital forensics 3+0+0 Elective 6,5 Face To Face
BLM5025 Bioinfomatics 3+0+0 Elective 6,5 Face To Face
BLM5026 Artificial Intelligence in Computer Games 3+0+0 Elective 6,5 Face To Face
BLM5027 Deep Reinforcement Learning 3+0+0 Elective 6,5 Face To Face
LEE5004 Project Proposals Writing Techniques 3+0+0 Elective 6,5 Face To Face
LEE_TEZ Master Thesis (Must be successful at least 2 times) 0+0+0 Compulsory 52 2 Face To Face
LEE5000 Master Thesis 0+0+0 Compulsory 26 Face To Face
LEE_UZM Specialization Course (Register each semester) 4+0+0 Compulsory 16 4 Face To Face
LEE5003 Specialised Field Course 4+0+0 Compulsory 4 Face To Face
Total ECTS 100,5




https://obs.btu.edu.tr/oibs/bologna/progCourses.aspx?curSunit=6237&lang=en