Graduate School / Intelligent Systems 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 39 6 Face To Face
ASM5001 Artificial Intelligence 3+0+0 Elective 6,5 Face To Face
ASM5004 Heuristics 3+0+0 Elective 6,5 Face To Face
ASM5005 Mathematical Modeling and Applications 3+0+0 Elective 6,5 Face To Face
ASM5006 System Simulation and Modeling 3+0+0 Elective 6,5 Face To Face
ASM5007 Human Machine Interaction 3+0+0 Elective 6,5 Face To Face
ASM5008 Neural Networks 3+0+0 Elective 6,5 Face To Face
ASM5009 Computer Networks 3+0+0 Elective 6,5 Face To Face
ASM5010 Constraint Programming 3+0+0 Elective 6,5 Face To Face
ASM5011 Digital Image Processing 3+0+0 Elective 6,5 Face To Face
ASM5013 Wireless Communications 3+0+0 Elective 6,5 Face To Face
ASM5015 Cryptography and Network Security 3+0+0 Elective 6,5 Face To Face
ASM5016 Analysis of Manufacturing Systems 3+0+0 Elective 6,5 Face To Face
ASM5017 Nature Inspired Optimization 3+0+0 Elective 6,5 Face To Face
ASM5018 Data Mining 3+0+0 Elective 6,5 Face To Face
ASM5019 Web Mining 3+0+0 Elective 6,5 Face To Face
ASM5020 Big Data Analysis 3+0+0 Elective 6,5 Face To Face
ASM5021 Data Visualization 3+0+0 Elective 6,5 Face To Face
ASM5022 Advanced Production Systems 3+0+0 Elective 6,5 Face To Face
ASM5023 Advanced Scheduling Systems 3+0+0 Elective 6,5 Face To Face
ASM5024 Nonlinear Programming 3+0+0 Elective 6,5 Face To Face
ASM5025 Game Theory 3+0+0 Elective 6,5 Face To Face
ASM5026 Fuzzy Logie 3+0+0 Elective 6,5 Face To Face
ASM5027 Graph Theory and It's Applications 3+0+0 Elective 6,5 Face To Face
ASM5028 Machine Learning 3+0+0 Elective 6,5 Face To Face
ASM5029 Expert Systems 3+0+0 Elective 6,5 Face To Face
ASM5030 Natural Language Processing 3+0+0 Elective 6,5 Face To Face
ASM5033 Decision Making 3+0+0 Elective 6,5 Face To Face
ASM5034 Introduction to Data Science 3+0+0 Elective 6,5 Face To Face
ASM5035 Data Analytics Using R 3+0+0 Elective 6,5 Face To Face
ASM5036 Data Analytics Using Python 3+0+0 Elective 6,5 Face To Face
ASM5037 Lean and Innovative Product Development 3+0+0 Elective 6,5 Face To Face
ASM5038 Intelligent Logistics System Design and Modeling 3+0+0 Elective 6,5 Face To Face
ASM5039 Computer Aided Optimization 3+0+0 Elective 6,5 Face To Face
ASM5040 Intelligent Transportation Systems 3+0+0 Elective 6,5 Face To Face
ASM5041 Filter Design and Applications 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 M.Sc. 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 Special Studies 4+0+0 Compulsory 4 Face To Face
Total ECTS 120




https://obs.btu.edu.tr/oibs/bologna/progCourses.aspx?curSunit=6235&lang=en