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      CE 450 | Course Introduction and Application Information

      Course Name
      Distributed Systems and Parallel Computing
      Code
      Semester
      Theory
      (hour/week)
      Application/Lab
      (hour/week)
      Local Credits
      ECTS
      CE 450
      Fall/Spring
      3
      0
      3
      5

      Prerequisites
      None
      Course Language
      English
      Course Type
      Elective
      Course Level
      First Cycle
      Mode of Delivery -
      Teaching Methods and Techniques of the Course Problem Solving
      Lecture / Presentation
      National Occupation Classification -
      Course Coordinator
      • Prof. Dr. Turhan TUNALI
      Course Lecturer(s) -
      Assistant(s) -
      Course Objectives This course will introduce the algorithms and technologies of distributed systems. It will teach both fundamentals as well as systems where these fundamentals are applied in practice. The course will be further based on advanced material from both research papers and several textbooks on distributed and parallel computing. In addition to the theoretical work, during the semester, at least one programming project will be assigned.
      Learning Outcomes
      #
      Content
      PC Sub
      * Contribution Level
      1
      2
      3
      4
      5
      1will be able to define the structure, type, and application areas of distributed systems.
      2will be able to exercise infrastructure, software, hardware, languages, and operating system applications for building distributed computing environments.
      3will be able to classify distributed process structures (clients, servers, threads, and code migration).
      4will be able to describe process communication, remote procedure call, and distributed process synchronization approaches and algorithms.
      5will be able to discuss basic distributed applications (distributed web-based systems, distributed object-based systems, and distributed file systems).
      Course Description To acquaint students with the major types, structures, functionality, and deployement of distributed systems, and to introduce students to the literature and terminology used for distributed systems and parallel computing.
      Related Sustainable Development Goals

       



      Course Category

      Core Courses
      Major Area Courses
      X
      Supportive Courses
      Media and Management Skills Courses
      Transferable Skill Courses

       

      WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

      Week Subjects Related Preparation Learning Outcome
      1 Introduction: Definition and types of distributed systrems Distributed Systems Principles and Paradigms Tanenbaum – Ch1
      2 Architectures Distributed Systems Principles and Paradigms Tanenbaum – Ch2, pp. 3457
      3 Processes Distributed Systems Principles and Paradigms Tanenbaum – Ch3pp. 70110
      4 Communication Distributed Systems Principles and Paradigms Tanenbaum – Ch4pp. 116130, 140163
      5 Naming Distributed Systems Principles and Paradigms Tanenbaum – Ch5pp. 180222
      6 Synchronization Distributed Systems Principles and Paradigms Tanenbaum – Ch6pp. 232269
      7 Consistency and Replication Distributed Systems Principles and Paradigms Tanenbaum – Ch7pp. 274315
      8 Fault tolerance Distributed Systems Principles and Paradigms Tanenbaum – Ch8pp. 322360
      9 MIDTERM EXAM
      10 Distributed objectbased systems: Architecture, processes, communication Distributed Systems Principles and Paradigms Tanenbaum – Ch10pp. 443464
      11 Distributed objectbased systems: naming, synchronization, consistency and replication, fault tolerance Distributed Systems Principles and Paradigms Tanenbaum – Ch10pp. 466480
      12 Distributed file systems Distributed Systems Principles and Paradigms Tanenbaum – Ch11pp. 491,531
      13 Distributed webbased systems Distributed Systems Principles and Paradigms Tanenbaum – Ch12, pp.546582
      14 Security Distributed Systems Principles and Paradigms Tanenbaum – Ch9, pp. 378434
      15 Semester Review
      16 Final Exam

       

      Course Notes/Textbooks Distributed Systems Principles and Paradigms, 2nd Edition, Andrew Tanenbaum© 2007 | Pearson Prentice Hall | ISBN: 013239227
      Suggested Readings/Materials

      Distributed Computing Principles and Applications, M. L. Liu, ISBN10: 0201796449

       

      EVALUATION SYSTEM

      Semester Activities Number Weigthing LO 1 LO 2 LO 3 LO 4 LO 5
      Participation
      Laboratory / Application
      Field Work
      Quizzes / Studio Critiques
      Portfolio
      Homework / Assignments
      Presentation / Jury
      Project
      1
      30
      Seminar / Workshop
      Oral Exams
      Midterm
      1
      30
      Final Exam
      1
      40
      Total

      Weighting of Semester Activities on the Final Grade
      2
      60
      Weighting of End-of-Semester Activities on the Final Grade
      1
      40
      Total

      ECTS / WORKLOAD TABLE

      Semester Activities Number Duration (Hours) Workload
      Theoretical Course Hours
      (Including exam week: 16 x total hours)
      16
      3
      48
      Laboratory / Application Hours
      (Including exam week: '.16.' x total hours)
      16
      0
      Study Hours Out of Class
      15
      4
      60
      Field Work
      0
      Quizzes / Studio Critiques
      0
      Portfolio
      0
      Homework / Assignments
      0
      Presentation / Jury
      0
      Project
      1
      20
      20
      Seminar / Workshop
      0
      Oral Exam
      0
      Midterms
      1
      7
      7
      Final Exam
      1
      15
      15
          Total
      150

       

      COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

      #
      PC Sub Program Competencies/Outcomes
      * Contribution Level
      1
      2
      3
      4
      5
      1

      To have adequate knowledge in Mathematics, Science and Computer Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems.

      -
      -
      -
      -
      -
      2

      To be able to identify, define, formulate, and solve complex Computer Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose.

      -
      -
      -
      -
      X
      3

      To be able to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design methods for this purpose.

      -
      -
      -
      X
      -
      4

      To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in Computer Engineering applications; to be able to use information technologies effectively.

      -
      -
      -
      -
      -
      5

      To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Computer Engineering research topics.

      -
      -
      -
      -
      -
      6

      To be able to work efficiently in Computer Engineering disciplinary and multi-disciplinary teams; to be able to work individually.

      -
      -
      -
      X
      -
      7

      To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively, to be able to give and receive clear and comprehensible instructions.

      -
      -
      -
      -
      -
      8

      To have knowledge about global and social impact of Computer Engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of Computer Engineering solutions.

      -
      -
      -
      -
      -
      9

      To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications.

      -
      -
      -
      -
      -
      10

      To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development.

      -
      -
      -
      -
      -
      11

      To be able to collect data in the area of Computer Engineering, and to be able to communicate with colleagues in a foreign language. ("European Language Portfolio Global Scale", Level B1)

      -
      -
      -
      -
      -
      12

      To be able to speak a second foreign language at a medium level of fluency efficiently.

      -
      -
      -
      -
      -
      13

      To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Computer Engineering.

      -
      -
      -
      -
      -

      *1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest


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