Cmpe Graduate 5XX Courses

content/graduate/courses/cmpe510/_index.md

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+---
+title: CMPE510
+description: Machine Translation
+metadata: none
+# thumbnail: https://picsum.photos/seed/cmpe510/1400
+aliases:
+  - graduate/courses/cmpe510
+---
+
+## Course Information
+
+<!-- prettier-ignore-start -->
+{{< table class="table-hover table-sm" >}}
+|||
+| :-- | :-- |
+| Faculty | Faculty of Engineering |
+| Course Code | CMPE510 |
+| Course Title | Machine Translation |
+| Language of Instruction | English |
+| Course Semester | — |
+| Course Hours | Lecture: 3, PS: 0, Labs: 0 |
+| Course Credits | 3 |
+| ECTS | 10 |
+| Grading Mode | Letter Grade |
+| Prerequisites | None |
+| Corequisites | None |
+{{< /table >}}
+<!-- prettier-ignore-end -->
+
+## Catalog Description
+
+Machine translation terminology. Rule-based machine translation approaches: direct, transfer and interlingua. The Vauquois triangle. Statistical machine translation. Word-based translation and phrase-based models. Word alignment. Decoding. Language models in translation. Example-based machine translation. Quality assessment of machine translation.
+
+## Course Learning Outcomes
+
+- Understand foundational machine translation terminology and concepts  
+- Become familiar with rule-based approaches (direct, transfer, interlingua)  
+- Learn the Vauquois triangle as a conceptual framework for translation processes  
+- Gain knowledge of statistical machine translation and phrase-based models  
+- Understand word alignment, decoding, and language modeling in MT  
+- Learn example-based MT and methods for quality assessment  
+
+## Current Instructor
+
+{{< people tag="cmpe510" cols="2">}}
+
+## Previous Instructors
+
+{{< people_alt tag="former-cmpe510" cols="3">}}

content/graduate/courses/cmpe511/_index.md

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+---
+title: CMPE511
+description: Computer Architecture
+metadata: none
+# thumbnail: https://picsum.photos/seed/cmpe511/1400
+aliases:
+  - graduate/courses/cmpe511
+---
+
+## Course Information
+
+<!-- prettier-ignore-start -->
+{{< table class="table-hover table-sm" >}}
+|||
+| :-- | :-- |
+| Faculty | Faculty of Engineering |
+| Course Code | CMPE511 |
+| Course Title | Computer Architecture |
+| Language of Instruction | English |
+| Course Semester | — |
+| Course Hours | Lecture: 3, PS: 0, Labs: 0 |
+| Course Credits | 3 |
+| ECTS | 10 |
+| Grading Mode | Letter Grade |
+| Prerequisites | CMPE 344 |
+| Corequisites | None |
+{{< /table >}}
+<!-- prettier-ignore-end -->
+
+## Catalog Description
+
+Pushing a single processor to its limits. Instruction set design and its effect on computer performance. Microprogramming. Addressing techniques. Memory hierarchy. Associative, virtual and cache memory. Memory management. Interrupts, DMA and channels. Comparative study of commercial computer architecture.
+
+## Course Learning Outcomes
+
+- Understand classical and modern computer architecture concepts  
+- Analyze the impact of instruction set design on performance  
+- Learn microprogramming and advanced addressing techniques  
+- Gain knowledge of memory hierarchy and cache/virtual memory systems  
+- Understand interrupts, DMA, and channel-based I/O mechanisms  
+- Compare architectural decisions used in commercial computer systems  
+
+## Current Instructor
+
+{{< people tag="cmpe511" cols="2">}}
+
+## Previous Instructors
+
+{{< people_alt tag="former-cmpe511" cols="3">}}

content/graduate/courses/cmpe516/_index.md

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+---
+title: CMPE516
+description: Fault Tolerant Computing
+metadata: none
+# thumbnail: https://picsum.photos/seed/cmpe516/1400
+aliases:
+  - graduate/courses/cmpe516
+---
+
+## Course Information
+
+<!-- prettier-ignore-start -->
+{{< table class="table-hover table-sm" >}}
+|||
+| :-- | :-- |
+| Faculty | Faculty of Engineering |
+| Course Code | CMPE516 |
+| Course Title | Fault Tolerant Computing |
+| Language of Instruction | English |
+| Course Semester | — |
+| Course Hours | Lecture: 3, PS: 0, Labs: 0 |
+| Course Credits | 3 |
+| ECTS | 10 |
+| Grading Mode | Letter Grade |
+| Prerequisites | MATH 343 or equivalent, CMPE 511 |
+| Corequisites | None |
+{{< /table >}}
+<!-- prettier-ignore-end -->
+
+## Catalog Description
+
+Fault modeling. Test generation for combinational and sequential circuits. Testing of microprocessor based systems. Design for testability. Redundancy techniques to achieve fault-tolerance. Reliability modeling and analysis. Software testing strategies. Software reliability achievement.
+
+## Course Learning Outcomes
+
+- Learn fundamental fault models and their usage  
+- Understand testing methods for combinational and sequential circuits  
+- Analyze testing approaches for microprocessor-based systems  
+- Apply design-for-testability concepts  
+- Learn redundancy techniques for fault-tolerance  
+- Understand reliability modeling & analysis  
+- Gain familiarity with software testing strategies and software reliability  
+
+## Current Instructor
+
+{{< people tag="cmpe516" cols="2">}}
+
+## Previous Instructors
+
+{{< people_alt tag="former-cmpe516" cols="3">}}

content/graduate/courses/cmpe521/_index.md

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+---
+title: CMPE521
+description: Principles of Database Systems
+metadata: none
+# thumbnail: https://picsum.photos/seed/cmpe521/1400
+aliases:
+  - graduate/courses/cmpe521
+---
+
+## Course Information
+
+<!-- prettier-ignore-start -->
+{{< table class="table-hover table-sm" >}}
+|||
+| :-- | :-- |
+| Faculty | Faculty of Engineering |
+| Course Code | CMPE521 |
+| Course Title | Principles of Database Systems |
+| Language of Instruction | English |
+| Course Semester | — |
+| Course Hours | Lecture: 3, PS: 0, Labs: 0 |
+| Course Credits | 3 |
+| ECTS | 10 |
+| Grading Mode | Letter Grade |
+| Prerequisites | CMPE 321 |
+| Corequisites | None |
+{{< /table >}}
+<!-- prettier-ignore-end -->
+
+## Catalog Description
+
+Fundamental concepts of data modeling and popular data models. Design theory for relational databases. Query optimization and data manipulation languages. Concurrency and protection.
+
+## Course Learning Outcomes
+
+- Understand fundamental concepts of data modeling and popular data models  
+- Learn design theory for relational databases  
+- Gain familiarity with query optimization techniques  
+- Understand data manipulation languages in database systems  
+- Learn basic concepts of concurrency control and protection  
+
+## Current Instructor
+
+{{< people tag="cmpe521" cols="2">}}
+
+## Previous Instructors
+
+{{< people_alt tag="former-cmpe521" cols="3">}}

content/graduate/courses/cmpe523/_index.md

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+---
+title: CMPE523
+description: Performance Evaluation of Computer Networks
+metadata: none
+# thumbnail: https://picsum.photos/seed/cmpe523/1400
+aliases:
+  - graduate/courses/cmpe523
+---
+
+## Course Information
+
+<!-- prettier-ignore-start -->
+{{< table class="table-hover table-sm" >}}
+|||
+| :-- | :-- |
+| Faculty | Faculty of Engineering |
+| Course Code | CMPE523 |
+| Course Title | Performance Evaluation of Computer Networks |
+| Language of Instruction | English |
+| Course Semester | — |
+| Course Hours | Lecture: 3, PS: 0, Labs: 0 |
+| Course Credits | 3 |
+| ECTS | 10 |
+| Grading Mode | Letter Grade |
+| Prerequisites | None |
+| Corequisites | None |
+{{< /table >}}
+<!-- prettier-ignore-end -->
+
+## Catalog Description
+
+Introduction for computer networks performance evaluation. Modeling of traffic flows. Delay and loss models for computer networks. Networks of queues. Performance evaluation of multiple access methods and local area networks. Measurement and simulation of computer networks.
+
+## Course Learning Outcomes
+
+- Understand the fundamentals of performance evaluation in computer networks  
+- Learn modeling techniques for traffic flows  
+- Analyze delay and loss models in various network settings  
+- Understand networks of queues and their applications  
+- Evaluate performance of multiple access methods and LANs  
+- Gain experience with measurement and simulation of computer networks  
+
+## Current Instructor
+
+{{< people tag="cmpe523" cols="2">}}
+
+## Previous Instructors
+
+{{< people_alt tag="former-cmpe523" cols="3">}}

content/graduate/courses/cmpe524/_index.md

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+---
+title: CMPE524
+description: Computer Network Design
+metadata: none
+# thumbnail: https://picsum.photos/seed/cmpe524/1400
+aliases:
+  - graduate/courses/cmpe524
+---
+
+## Course Information
+
+<!-- prettier-ignore-start -->
+{{< table class="table-hover table-sm" >}}
+|||
+| :-- | :-- |
+| Faculty | Faculty of Engineering |
+| Course Code | CMPE524 |
+| Course Title | Computer Network Design |
+| Language of Instruction | English |
+| Course Semester | — |
+| Course Hours | Lecture: 3, PS: 0, Labs: 0 |
+| Course Credits | 3 |
+| ECTS | 10 |
+| Grading Mode | Letter Grade |
+| Prerequisites | Consent of the Instructor |
+| Corequisites | None |
+{{< /table >}}
+<!-- prettier-ignore-end -->
+
+## Catalog Description
+
+Principles of computer network design. Network design and optimization algorithms. Centralized network design, switching node location problems. Application of minimum spanning tree and shortest path algorithms to problems in network design. Static and dynamic routing algorithms. Network reliability analysis in design. Adhoc and cellular wireless network design. Case studies.
+
+## Course Learning Outcomes
+
+- Understand the fundamental principles of computer network design  
+- Learn optimization algorithms used in network design  
+- Analyze switching node placement and centralized design problems  
+- Apply MST and shortest-path algorithms to design scenarios  
+- Understand static and dynamic routing algorithms  
+- Gain familiarity with network reliability analysis  
+- Learn design methodologies for adhoc and cellular wireless networks  
+- Study real-world network design case examples  
+

content/graduate/courses/cmpe526/_index.md

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+---
+title: CMPE526
+description: Operating System and Network Security
+metadata: none
+# thumbnail: https://picsum.photos/seed/cmpe526/1400
+aliases:
+  - graduate/courses/cmpe526
+---
+
+## Course Information
+
+<!-- prettier-ignore-start -->
+{{< table class="table-hover table-sm" >}}
+|||
+| :-- | :-- |
+| Faculty | Faculty of Engineering |
+| Course Code | CMPE526 |
+| Course Title | Operating System and Network Security |
+| Language of Instruction | English |
+| Course Semester | — |
+| Course Hours | Lecture: 3, PS: 0, Labs: 0 |
+| Course Credits | 3 |
+| ECTS | 10 |
+| Grading Mode | Letter Grade |
+| Prerequisites | Consent of the Instructor |
+| Corequisites | None |
+{{< /table >}}
+<!-- prettier-ignore-end -->
+
+## Catalog Description
+
+Operating system and computer network security basics, risk analysis, security policies, concept of trusted computers and networks. Conventional and public key cryptography. Authentication and digital signatures. Authentication protocols and applications, Kerberos, certificates. UNIX/LINUX security issues. IP, TCP/UDP, SSL, DNS, FTP/TELNET, NIS/NFS, SNMP, electronic mail and web security. Firewalls and security tools. Secure payment systems. Case studies and programming projects.
+
+## Course Learning Outcomes
+
+- Understand basic concepts of operating system and network security  
+- Learn risk analysis and security policy fundamentals  
+- Gain familiarity with trusted computers and networks  
+- Understand conventional and public-key cryptography  
+- Learn authentication mechanisms, digital signatures, and protocols (e.g., Kerberos, certificates)  
+- Analyze UNIX/Linux security issues  
+- Understand security aspects of core internet protocols (IP, TCP/UDP, SSL, DNS, FTP/TELNET, NIS/NFS, SNMP, email, web)  
+- Learn fundamentals of firewalls, security tools, and secure payment systems  
+- Gain hands-on experience through case studies and programming projects  
+
+## Current Instructor
+
+{{< people tag="cmpe526" cols="2">}}
+
+## Previous Instructors
+
+{{< people_alt tag="former-cmpe526" cols="3">}}

content/graduate/courses/cmpe528/_index.md

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+---
+title: CMPE528
+description: Graph Algorithms
+metadata: none
+# thumbnail: https://picsum.photos/seed/cmpe528/1400
+aliases:
+  - graduate/courses/cmpe528
+---
+
+## Course Information
+
+<!-- prettier-ignore-start -->
+{{< table class="table-hover table-sm" >}}
+|||
+| :-- | :-- |
+| Faculty | Faculty of Engineering |
+| Course Code | CMPE528 |
+| Course Title | Graph Algorithms |
+| Language of Instruction | English |
+| Course Semester | — |
+| Course Hours | Lecture: 3, PS: 0, Labs: 0 |
+| Course Credits | 3 |
+| ECTS | 10 |
+| Grading Mode | Letter Grade |
+| Prerequisites | Consent of the Instructor |
+| Corequisites | None |
+{{< /table >}}
+<!-- prettier-ignore-end -->
+
+## Catalog Description
+
+NP-Completeness proofs for graph-theoretic problems. Connectivity. Network flow algorithms. Algebraic graph theory and its applications: Laplacian matrix, graph partitioning, seriation problem, web page ranking. Vertex ordering for sparse matrix factorization.
+
+## Course Learning Outcomes
+
+- Understand NP-completeness in the context of graph-theoretic problems  
+- Learn connectivity and network flow algorithms  
+- Gain knowledge of algebraic graph theory concepts  
+- Understand Laplacian matrices and applications such as graph partitioning and seriation  
+- Learn web page ranking methods from a graph perspective  
+- Understand vertex ordering techniques for sparse matrix