Bilkent University Quality Management in Education

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Courses in Technical Elective
# Course Code Course Name Credits ECTS
Credits
Syllabus
1 CS 411 Software Architecture Design 3 5 Syllabus
2 CS 413 Software Engineering Project Management 3 5 Syllabus
3 CS 415 Software Product Line Engineering 3 5 Syllabus
4 CS 421 Computer Networks 3 5 Syllabus
5 CS 423 Computer Architecture 3 5 Syllabus
6 CS 425 Algorithms for Web-Scale Data 3 5 Syllabus
7 CS 426 Parallel Computing 3 5 Syllabus
8 CS 429 Dynamic and Social Network Analysis 3 5 Syllabus
9 CS 431 Embedded Systems 3 5 Syllabus
10 CS 432 Machine-to-Machine (M2M) Systems 3 5 Syllabus
11 CS 433 Information Retrieval Systems 3 5 Syllabus
12 CS 437 Software Design Patterns 3 5 Syllabus
13 CS 439 Automated Program Repair 3 5 Syllabus
14 CS 442 Distributed Systems and Algorithms 3 5 Syllabus
15 CS 443 Cloud Computing 3 5 Syllabus
16 CS 449 Learning for Robotics 3 5 Syllabus
17 CS 453 Application Lifecycle Management 3 5 Syllabus
18 CS 458 Software Verification and Validation 3 5 Syllabus
19 CS 461 Artificial Intelligence 3 5 Syllabus
20 CS 464 Introduction to Machine Learning 3 5 Syllabus
21 CS 465 Computer Graphics I 3 5 Syllabus
22 CS 471 Numerical Methods 3 5 Syllabus
23 CS 472 Computer Systems Performance Analysis 3 5 Syllabus
24 CS 474 Algorithms II 3 5 Syllabus
25 CS 475 Data Privacy 3 5 Syllabus
26 CS 477 Biometrics 3 5 Syllabus
27 CS 478 Computational Geometry 3 5 Syllabus
28 CS 479 Introduction to Cyber Security 3 5 Syllabus
29 CS 481 Bioinformatics Algorithms 3 5 Syllabus
30 CS 483 Natural Language Processing 3 5 Syllabus
31 CS 484 Introduction to Computer Vision 3 5 Syllabus
32 CS 485 Deep Generative Networks 3 5 Syllabus
33 CS 489 Teaching Project in Computer Engineering 3 5 Syllabus
34 CS 490 Senior Research Project 3 5 Syllabus
35 CS 681 Advanced Topics in Computational Biology 3 5 Syllabus
36 EEE 361 Linear Algebra in Data Analysis and Machine Learning 3 5 Syllabus
37 EEE 431 Digital Communications 3 5 Syllabus
38 EEE 436 Wireless Networking Technologies and Applications 3 5 Syllabus
39 EEE 443 Neural Networks 3 5 Syllabus
40 EEE 447 Introduction to Robotics 3 5 Syllabus
41 EEE 448 Reinforcement Learning and Dynamic Programming 3 5 Syllabus
42 EEE 482 Computational Neuroscience 3 5 Syllabus
43 EEE 485 Statistical Learning and Data Analytics 3 5 Syllabus
44 EEE 486 Statistical Foundations of Natural Language Processing 3 5 Syllabus
45 GE 461 Introduction to Data Science 3 5 Syllabus
46 IE 303 Modeling and Methods in Optimization 3 5 Syllabus
47 IE 325 Stochastic Models 3 5 Syllabus
48 IE 411 Introduction to Nonlinear Optimization 3 5 Syllabus
49 IE 421 Introduction to Stochastic Processes 3 5 Syllabus
50 IE 423 Forecasting Methods and Applications 3 5 Syllabus
51 IE 451 Applied Data Analysis 3 5 Syllabus
52 IE 452 Algebraic and Geometric Methods in Data Analysis 3 5 Syllabus
53 IE 456 Reinforcement Learning and Dynamic Programming 3 5 Syllabus
54 IE 486 Computational Optimization 3 5 Syllabus
55 MATH 202 Complex Analysis 3 5 Syllabus
56 MATH 213 Advanced Calculus I 4 6,5 Syllabus
57 MATH 215 Mathematical Analysis 3 5 Syllabus
58 MATH 224 Linear Algebra II 3 5 Syllabus
59 MATH 240 Differential Equations 3 5 Syllabus
60 MATH 253 Introduction to Number Theory 3 5 Syllabus
61 MATH 260 Introduction to Statistics 3 5 Syllabus
62 MATH 313 Real Analysis I 3 5 Syllabus
63 MATH 314 Real Analysis II 3 5 Syllabus
64 MATH 323 Algebra I 3 5 Syllabus
65 MATH 324 Algebra II 3 5 Syllabus
66 MATH 420 Introduction to Cryptography 3 5 Syllabus
67 MATH 421 Introduction to Quantum Computation 3 5 Syllabus
68 MATH 422 Topics in Quantum Information Theory 3 5 Syllabus
69 MATH 453 Algebraic Number Theory 3 5 Syllabus
70 MATH 465 Mathematical Foundations of Data Science 3 5 Syllabus
71 MBG 209 Principles of Genetics 3 5 Syllabus
72 MBG 222 Fundamentals of Molecular Genetics 3 5 Syllabus
73 MBG 326 Introduction to Bioinformatics 3 5 Syllabus
74 MBG 474 Introduction to Computational Biology 3 5 Syllabus
75 ME 473 Flexible Robotics 3 5 Syllabus
76 ME 474 Mobile Robots 3 5 Syllabus
77 ME 489 Fundamentals of Design for Reliability 3 5 Syllabus