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CENG599 TERM PROJECT

Course Objectives

At the end of this course, students will be able to:

• Follow a well-defined project development and management methodology such as Scrum, with all of its aspects.
• Plan ahead to identify and mitigate possible project risks.
• Prepare a decent project proposal that contains detailed considerations of a problem from various viewpoints.
• Bring together software libraries, development tools and possibly hardware to design and implement sophisticated systems.
• Produce and refine high-quality project documentations that conform to international standards such as the ones published by IEEE.
• Present ideas and project progress, and demonstrate project results, professionally.
• Design and implement software/hardware solutions to realistic problems.
• Publish results (encouraged by bonus points but not mandated) in scientific conferences and/or journals.

Course Content

Course Learning Outcomes

Students that pass the course satisfactorily will be able to (some items below may not be applicable to all project topics that a student might choose for herself/himself) :

• Analyze the power and limitations of abstract models of computation.
• Design test procedures for finding defects in software and hardware.
• Design test procedures to assess the performance and other quality attributes of software.
• Design computer-based systems with realistic requirements.
• Design and implement algorithms, heuristics and supporting data structures as packaged components.
• Design and implement components and systems to process, i.e. acquire, store, organize, manipulate, access and present, varied amounts of data.
• Interpret the needs of stakeholders in terms of system requirements.
• Construct mathematical or logical models of computational problems.
• Derive system properties from models.
• Integrate a set of available hardware and software components into a working system.
• Understand legal issues related with engineering practice, including intellectual property rights, safety, security and privacy.
• Self-assess one’s knowledge in a topic of interest.
• Use a widely accepted high-level programming language (e.g. Java, C# and C++).
• Use a widely accepted modeling language, such as UML.
• Use an integrated software development environment.
• Assess the life cycle processes for systems and software.
• Evaluate the quality attributes (such as reliability, availability, efficiency, usability, safety and security) of computer-based systems.
• Apply engineering standards.
• Evaluate alternative paradigms, languages, methods, techniques and tools for the solution of a computer engineering problem.