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  • 3.00 Credits

    Microsoft Azure Architect Technologies course prepares students for a career as a certified Azure Cloud Architect. Students will deepen knowledge of managing Azure resources, and integrating virtual services using Azure Portal and Command Line Interface to solve business solutions. This course is explicitly aligned with the Azure Solutions Architect certification exam. Prerequisite:    CS 142
  • 3.00 Credits

    AWS Solutions Architecture will provide students with the tools to design, plan, and implement resilient, high-performing, secure, and cost-optimized architectures using AWS best practices for integrating the more than 70 available AWS cloud services into well-orchestrated solutions. This course is explicitly aligned with the latest AWS Solutions Architect certification exam and is part of the Cloud Computing degree and certificate programs. Prerequisite:    CS 143
  • 3.00 Credits

    The focus of the Digital Portfolio Development course is to design a portfolio that makes evident a student's knowledge and skills of their field of study. The portfolio is a collection of material that can be used as an interactive resume, an archive of work over time or a demonstration of proficiency. The contents of a student's portfolio can include work samples, letters of recommendation, references, transcripts, GPA, accomplishments/awards, competency lists, certifications, curricular standards, instructor assessments/evaluation, reflections, and work experiences/employer evaluations. Thus, a student's portfolio provides the ability to show work on demand and evidence of their preparation for a career or further education in their field of study. The objective of this course is for students to demonstrate the theoretical as well as the technical skills they have acquired throughout their program. Students will assess personal strengths to establish a career goal and decide how to organize their design and production work in a graduation portfolio. NOTE: Prerequisites: Depending on CS specialization, all required program courses. Prerequisite:    All Required Program Courses Per CS Specialization
  • 3.00 Credits

    This course introduces students to the principles and techniques of machine learning and neural networks. Students will learn about supervised and unsupervised learning algorithms, feature selection, model evaluation, and optimization techniques. The course covers various machine learning models, including linear and logistic regression, decision trees, support vector machines, and neural networks. Prerequisite:    CS 102 and CS 160
  • 3.00 Credits

    This course focuses on the principles and techniques of Natural Language Processing (NLP), including text processing, speech recognition, and language generation. Students will learn about text preprocessing, feature extraction, language models, and various NLP tasks such as sentiment analysis, text classification, and machine translation. Prerequisite:    CS 262
  • 3.00 Credits

    This course introduces students to the principles and techniques of computer vision and image processing. Students will learn about image acquisition, representation, and preprocessing, as well as object detection, recognition, and tracking. The course covers topics such as feature extraction, image segmentation, and deep learning techniques for computer vision tasks. Prerequisite:    CS 262
  • 3.00 Credits

    This course explores the ethical and social implications of Artificial Intelligence (AI) technologies. Students will examine the potential impacts of AI on various aspects of society, including privacy, fairness, equity, accountability, and transparency. The course covers ethical frameworks, guidelines, and best practices for the responsible development and deployment of AI systems. Prerequisite:    (ENG 050 and REA 050) or ENG 099* or REA 075 or REA 100* or Appropriate Placement Test Scores (*Course(s) May Be Taken Concurrently)
  • 3.00 Credits

    Students will be introduced to the use and care of professional foodservice equipment, basic knife skills, basic cooking methods, weighing and measuring, culinary terminology and applying kitchen sanitation and safety. Students will practice hands-on development of these skills in a professional kitchen. Prerequisite:    HRM 115 and (MAT 050 or Appropriate Placement Test Scores)
  • 3.00 Credits

    Students are introduced to the principles of baking, and to the skills and techniques needed for production of baked goods and pastries for commercial foodservice. Topics include planning, selecting ingredients, scaling, mixing, baking, assembling, and decorating. Students will practice hands-on development of these skills in a professional kitchen. Prerequisite:    HRM 115 and (MAT 050 or Appropriate Placement Test Scores)
  • 3.00 Credits

    This course introduces the student to the fundamentals of Pastry Design and Plated Desserts. Students lean the basic and advance methods that enable them to produce components for plated desserts, garnishes, and buffet presentations. Students will be introduced to the basic and advanced processes of creating four star desserts. Students will learn the art of creating classical desserts, sauces, pulled candy and sugar work as well as holiday/multi-cultural confections. Prerequisite:    CUL 150
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