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CS 5850: Parallel Programming/Architect

3.00 Credits

Weber State University

In parallel programming you will learn how to utilize multiple CPU's/Cores/Nodes in parallel to increase the performance of your applications. Different architectures will be discussed along with the advantages and disadvantages of each. This course will cover key topics parallel programming including: memory models, parallel programming architectures, Flynn's Taxonomy, synchronization, and performance analysis and tuning. In addition to learning the theoretical background of parallel programming, you will work on hands-on projects using multiple parallel programming languages and libraries including (CUDA, openMP, MPI, open CL, and python). Prerequisite: CS 3100

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CS 6000: Fundamentals of Grad Studies

1.00 Credits

Weber State University

The purpose of this course is to introduce students in the graduate programs in the College of Engineering, Applied Science, and Technology to the expectations of graduate study and the scholarly requirement options for their program. Students will learn the difference between a research thesis and a design project as well as how to select, narrow, and refocus a research topic. Students will explore academic electronic databases and Internet search engines, thus developing skills that allow them to critically evaluate published scholarly work. They will also be introduced to research methods and design and will develop skills in organization, effective editing, reviewing, and proofreading. This course should be taken within the first year of study to establish a program of study and support future work on a thesis or project.

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CS 6010: Design Project

2.00 - 6.00 Credits

Weber State University

Students are required to complete a substantial computer science project. Students must demonstrate proficiency in research, design, analysis, project planning, implementation, testing, presentation and documentation. Students receive T (temporary) grades until their final design review, after which these grades are changed retroactively. Students must be enrolled in CS 6010 at the time of their final design review.

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CS 6011: Thesis Research

2.00 - 6.00 Credits

Weber State University

Students are required to complete original computer science research resulting in a thesis. Students must demonstrate proficiency in research, design, analysis, project planning, implementation, testing, presentation and documentation. Students receive T (temporary) grades until their final design review, after which these grades are changed retroactively. Students must be enrolled in CS 6011 at the time of their final thesis defense.

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CS 6100: Distributed Operating Systems

3.00 Credits

Weber State University

Distributed systems or distributed computing deals with the issues encountered while running programs across a computer network. This course will cover key topics including: models of distributed systems, timing, synchronization, coordination and agreement, fault tolerance, naming, security, and middleware. Students will learn both the theoretical background of distributed systems as well as work on hands-on projects developing distributed systems applications. Prerequisite: CS 3100

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CS 6200: The Internet of Things

3.00 Credits

Weber State University

The growth of the Internet of Things (IoT) is changing the way we interact with the world by saving time and resources and opening new opportunities for growth and innovation. This course explores the fundamentals of the world of IoT, including design considerations and constraints. It provides an overview of the networks and security issues related to IoT devices. Course participants will get hands-on experience using Arduino and/or Raspberry Pi hardware and software platforms, learn different communication protocols, how to harness the data from IoT devices, and review capabilities of cloud-based IoT platforms. Prerequisite: CS 2810 and ECE 3710

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CS 6300: Route Planning and Navigation

3.00 Credits

Weber State University

The course teaches advanced topics of perception, mapping, route planning and navigation concepts. In this course the students will create maps of the operational environment using SLAM. Given the map, the students would drive the vehicle autonomously to a specified destination. Topics that will be covered include camera calibration, advanced computer vision and path planning. The course will conclude with a capstone project with the expectation that the student can program the vehicle to navigate in a dynamic environment, follow road markings, and reach a specified goal; latitude and longitude.

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CS 6420: Advanced Algorithms

3.00 Credits

Weber State University

Introduction to fundamental principles of advanced algorthm design, including asymptotic analysis; divide-and-conquer algorithms and recurrences; greedy algorithms; practical data structures (heaps, hash tables, search trees, graphs); dynamic programming; graph algorithms; and randomized algorithms. Prerequisite: CS 2420

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CS 6450: Software Evolution & Maint

3.00 Credits

Weber State University

This course aims to improve student awareness of standard software engineering tools and techniques and make them more capable team members/leaders in software development projects. In this course, students build on their software engineering knowledge by evaluating the Software Development Lifecycle (SDLC) of an existing undergraduate capstone project (or and re-engineering it with specific techniques for maintenance, scalability, dependability, reliability, safety, security, and resilience. Topics such as reverse engineering, design recovery, program analysis, program transformation, refactoring, traceability, and program understanding will be investigated. Accompanying lectures aim to provide timely concepts from the software engineering body of knowledge as they relate to the course work. There will also be class discussions and demonstrations around practical aspects of improving software-related skills that draw upon the students' collective experience and upon the research. Prerequisite: CS 3100

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CS 6500: Adv Artificial Intelligence

3.00 Credits

Weber State University

This course covers advanced topics in artificial intelligence from the perspective of implementing intelligent agents through software. Students are expected to have a basic understanding of search and knowledge reasoning. Topics include quantifying uncertainty, probabilistic reasoning and planning, supervised learning, reinforcement learning, natural language processing, and perception. CS 4500 (Introduction to Artificial Intelligence) or a similar course is not required but may be helpful prior to taking this course. Prerequisite: CS 5500

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