Master of Science (MS) Curriculum

This program offers two tracks. The requirements for graduation differ between the tracks.


TRACK 1: COMPUTER ENGINEERING

OPTION WITH THESIS

The following program requirements must be completed to earn a MS degree:

For students registered on Fall 2016 or later


• Complete ENGR 500 Research Methods in Natural Sciences course.

• Complete seven (7) technical elective courses selected from the list in Table 1 below, which are recommended by your academic advisor.

• Register for the graduate seminar course ENGR 591, compulsory and non-credit. Students should present a seminar at least once and attend at least 80% of the seminars.

• Prepare, submit and successfully defend thesis in ECE 599 under the supervision of an adviser.
For students registered before Fall 2016

• Complete eight (8) technical elective courses selected from the list in Table 1 below, which are recommended by your academic advisor.

• Register for the graduate seminar course ENGR 591, compulsory and non-credit. Students should present a seminar at least once and attend at least 80% of the seminars.

• Prepare, submit and successfully defend thesis in ECE 599 under the supervision of an adviser.


TABLE 1: Recommended Courses for Computer Engineering

Course Code Course Description

ECE 507 VLSI Design
ECE 526 Computational Biology
ECE 576 Scalable Internet Services
ECE 509 Statistical Signal Processing I: Estimation Theory
ECE 527 Bioinformatics
ECE 577 Cloud Computing
ECE 510 Statistical Signal Processing II: Detection Theory
ECE 528 Probabilistic Graphical Models
ECE 578 Data Visualization
ECE 511 Probability and Stochastic Process
ECE 529 Multimedia Systems
ECE580 Networks
ECE512 Information Theory
ECE 532 Mobile Programming
ECE 581 Network Security
ECE 513 Digital Communications
ECE 561 Approximation Algorithms
ECE 582 Data Science for Business
ECE 514 Data Compression and Modeling
ECE 562 Network Modeling
ECE 583 Cryptography and Coding
ECE 515 Linear Dynamical Systems
ECE 563 Combinatorial Algorithms
ECE 584 Advanced Cryptography and Coding
ECE 516 Convex Optimizations
ECE 564 Computational Geometry
ECE 585 Cognitive Computing
ECE 517 Numerical Methods in Engineering
ECE 565 Theory of Computation and Complexity
ECE 586 Computational Genomics
ECE 518 Advanced Digital Communications
ECE 566 Object Oriented Design
ECE 588 Agile Methods
ECE 519 Robotics
ECE 570 Software Engineering
ECE 589 Natural Language Processing
ECE 520 Software Based Startups
ECE571 Data Engineering
ECE 590 Advanced Topics in Electronics Engineering
ECE521 Motion Planning
ECE 572 Advanced Topics in Database Systems
ECE 596 Advanced Topics in Computer Engineering
ECE 523 Machine Learning
ECE 573 Advanced Topics in Distributed Systems
ECE 597 Software Processes
ECE 524 Computer Vision
ECE 574 Advanced Topics in Computer Architecture
ECE 567 Advanced Internet Services
ECE 525 Advanced Topics in Computer Vision
ECE 575 Big Data Analysis


TRACK 2: ELECTRONICS ENGINEERING

OPTION WITH THESIS

The following program requirements must be completed to earn a MS degree:

• Complete ENGR 500 Research Methods in Natural Sciences course. ( This course is compulsory for students registered on Fall 2016 or later)

• Complete seven (7) technical elective courses selected from the list in Table 2 below, which are recommended by your academic advisor. (For students registered on Fall 2016 or later)

• Complete eight (8) technical elective courses selected from the list in Table 2 below, which are recommended by your academic advisor. (For students registered before Fall 2016)

• Take EECS 413 Wireless Communications and EECS415 Digital Signal Processing if not taken in undergraduate. EECS 413 and EECS 415 are counted as technical electives.

• Register for the graduate seminar course ENGR 591, compulsory and non-credit. Students should present a seminar at least once and attend at least 80% of the seminars.

• Prepare, submit and successfully defend thesis in ECE 599 under the supervision of an adviser.

TABLE 2: Recommended Courses for Electronics Engineering

Course Code Course Description

ECE501 Analog Circuit Design
ECE515 Linear Dynamical Systems
ECE538 Optical Waves and Optical Imaging
ECE502 RF Radio Design
ECE516 Convex Optimizations
ECE541 Advanced Nano and Micro Electro Mechanical Systems
ECE503 mm Wave IC Design
ECE517 Numerical Methods in Engineering
ECE542 Advanced MOSFET Theory

ECE504 ECE504 Advanced Communication Circuits
ECE 518 Advanced Digital Communications
ECE551 Design and Manufacturing in Electrical Engineering
ECE507 VLSI Design
ECE519 Robotics
ECE552 Energy and Energy Efficiency
ECE 508 Analog-Digital Interface Integrated Circuits
ECE521 Motion Planning
ECE562 Network Modeling
ECE509 Statistical Signal Processing I: Estimation Theory
ECE522 Antenna Theory and Design
ECE574 Advanced Topics in Computer Architecture
ECE 510 Statistical Signal Processing II: Detection Theory
ECE523 Machine Learning
ECE583 Cryptography and Coding
ECE511 Probability and Stochastic Process
ECE 529 Multimedia Systems
ECE584 Advanced Cryptography and Coding
ECE512 Information Theory
ECE531 Advanced Electromagnetics
ECE590 Advanced Topics in Electronics Engineering
ECE513 Digital Communications
ECE536 Fiber Optic Communications
ECE514 Data Compression and Modeling
ECE537 Optoelectronic Devices and Lasers


NOTE 1: All courses are 3 credits and ECTS=5. ECTS for seminar course is 20, for project course is 20 and for thesis is 60.

NOTE 2: With the approval of the academic advisor, students may take courses from other graduate programs (including courses listed in Table 3 below) at İstanbul Şehir University or other universities.
NOTE 3: With the approval of the academic advisor, students may take ECE 592 (ECE 592A Independent Study I) and ECE 593 (ECE 592B - Independent study II) to complete course requirements for an MS degree.
NOTE 4: With the approval of the academic advisor, students may take at most two (2) senior level courses (EECS 4xx) to complete course requirements for an MS degree.