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  • Course Description:  This course introduces students to the steps necessary to analyze a problem in information technology and identify and define the computing requirements appropriate to its solution, with a focus on how to design, implement, and evaluate a computer-based system, process, component, or program to meet desired needs. Students learn to analyze the local and global impact of computing on individuals, organizations, and society. This course leads students to recognize the need for continuing professional development and imparts an understanding of professional, ethical, legal, security and social issues, and responsibilities in information technology.  
    Course Objectives: 
    • The fundamental connections linking core business strategy, technology, and innovation 
    • How these functions intertwine to play a central role in process layout, systems, structural design, and product development, as well as supporting an organization's overall success 
    • About the latest trends and research 
    • About assessment methods for organization and management processes
    • About special tools and techniques for managing and organizing Technology and Innovation 
  • Course Description: This course covers a broad spectrum of issues in both the traditional functional areas such as finance, marketing, strategy and human resource management, logistics and transportation, and information technology, as well as cross-functional projects investigating, for example, the impact of leading edge information technology on business processes and client relationships in electronic commerce and supply chain management. 
    Course Objectives:  
    • understand the basic principles of project consulting 
    • learn about Professional Standards and Best Practices in project consulting 
    • work on strategic consulting projects that feature global marketing challenges (e.g., market entry decisions, consumer research, distribution channel analysis and other marketing strategy issues)  
  • Course Description:  This course is designed to demonstrate the role of marketing in the company; to explore the relationship of marketing to other functions; and to show how effective marketing builds on a thorough understanding of buyer behavior to create value for customers. 
    Course Objectives: 
    • Make marketing decisions in the context of general management
    • Control the elements of the marketing mix—product policy, channels of distribution, communication, and pricing—to satisfy customer needs profitably
    • Use this knowledge in a brand management simulation  
  • Course Description: This course is designed to help students develop the skills for formulating strategy. It provides an understanding of:  
    • A firm's operative environment and how to sustain competitive advantage.  
    • How to generate superior value for customers by designing the optimum configuration of the product mix and functional activities.  
    • How to balance the opportunities and risks associated with dynamic and uncertain changes in industry attractiveness and competitive position.  
    • Particular attention is paid to competitive positioning; understanding comparative costs; and addressing issues such as cannibalization, network externalities, and globalization.   
    Course Objectives: 
    • Develop a mastery of a body of analytical tools and the ability to take an integrative point of view.  
    • Use these tools to perform in-depth analyses of industries and competitors, predict competitive behavior, and analyze how firms develop and sustain competitive advantage over time.  
  • Couse Description:  This course explores networks and how managers and organizations can navigate them to produce successful strategic innovation outcomes. Although managers are increasingly aware of the importance of social relations for the inner-workings of the organization, they often lack insights and tools to analyze, influence or even create these networks. This course draws on insights from social network theory; insights sharpened by research in a number of different empirical settings including production, engineering, financial services, consulting, and R&D/hi-tech organizations. 
    Course Objectives: 
    • About social network theory 
    • How networked organizations are resilient and innovative 
    • How social network theory applies to both networks of independent associates as it does to traditional organizations 
  • Course Description: This course will provide participants with an understanding of advanced English as a Second Language (ESL) for professional business contexts. Topics covered include crafting persuasive emails, constructing sharp reports, organizing complex presentations, summarizing key ideas in writing with precision and accuracy, and other communication scenarios in a professional setting. Participants will gain an understanding of the highest-level aspects of the English language necessary to succeed in the business world. Course Objectives:
    • Utilize accurate language rules from multiple sources when writing
    • Develop strategies for writing emails that demonstrate persuasion and clarity
    • Construct sharp reports that effectively convey information
    • Organize complex presentations using a variety of approaches
    • Summarize key ideas accurately and concisely in writing
    • Evaluate arguments using critical thinking skills
    • Compose persuasive essays that demonstrate fluency and accuracy
    • Leverage specialized terminology when communicating with colleagues and clients
    • Analyze methods for conveying complex ideas using precise words and phrases
    • Implement measures for continual improvement in communication skills
  • Course Description:

    This online course provides an advanced look into web design principles and techniques. It covers the fundamentals of creating effective, visually appealing websites and applications. You will learn about the different approaches to designing and developing interfaces, including user experience design. You will also gain an understanding of how to create a strong visual hierarchy, utilize typography, incorporate color theory and styling, optimize images for web performance, and use modern tools and techniques such as HTML5 & CSS. Through interactive lectures, readings, discussions, and assignments you will develop your skills in website design while discovering methods for improving usability and accessibility on the web. This course is ideal for individuals who want to build upon their existing knowledge of web design with a focus on developing professional-level sites. Course Objectives:
    • Develop an understanding of user experience (UX) & user interface (UI) concepts from a web designer’s perspective
    • Define & differentiate between various design elements such as typography & information architecture
    • Understand responsive design principles & be able to optimize website experience across devices
    •  Utilize best practices when incorporating animation effects & immersive media like sound/video into websites
    • Analyze color theory & contrast principles before implementing them during styling
    • Understand best methods for utilizing HTML5 & CSS so as to convert planned designs into reality
    •  Optimize images so as to render them quickly while minimizing bandwidth utilization
    • Create interactive components with help from libraries or frameworks such as Bootstrap
    • Incorporate accessibility features so as to enable maximum audience reach
    • Identify scope for improvement while auditing existing websites through analytical tools
  • Course Description:

    This course introduces the fundamentals of artificial intelligence. Students will learn about problem-solving techniques such as search, optimization, and decision-making. This course provides an introduction to machine learning concepts such as supervised and unsupervised learning, including neural networks and deep learning. At the end of this course, students will be able to apply their knowledge in solving real-world AI problems. Course Objectives:
    • Explore different problem-solving techniques like search & optimization
    • Understand basic machine learning concepts & algorithms
    • Comprehend supervised & unsupervised models
    • Analyze reinforcement learning for optimizing decisions
    • Utilize neural network implementations for AI tasks
    • Apply various deep learning architectures
    • Examine supervised & unsupervised clustering algorithms
    • Evaluate natural language, and processing models
    • Develop strategies for recognizing images with AI
    • Design custom systems for solving AI challenges
  • Course Description:

    This course will offer a comprehensive overview of computer programming. Topics covered include the principles of database design, object-oriented programming, user interface design and web programming. Participants will develop their technical knowledge and enhance their problem-solving abilities through the hands-on practice of developing complex software applications. Course Objectives:
    • Construct effective database designs for efficient data management
    • Utilize object-oriented programming concepts to create robust applications
    • Design intuitive user interfaces that prioritize ease of use
    • Incorporate web technologies into programming projects
    • Develop secure algorithms to protect data
    • Execute programs efficiently by utilizing optimization techniques 7 Create powerful test scripts to identify potential flaws in the codebase
    • Understand the fundamentals of memory management
    • Implement advanced debugging metaphors to troubleshoot errors
    • Deploy effective software maintenance procedures
  • Course Description:

    This course introduces the fundamental principles of data structures and algorithms. Students will gain experience in applying basic concepts such as linked lists, stacks, queues, and trees to real-world programming problems. Also covered are sorting algorithms and graph traversal. At the end of this course, students will be able to apply their knowledge to design efficient data structures for different technology applications. Course Objectives:
    • Understand basic data structures and algorithms concepts
    • Utilize various linked list implementations
    • Explore stack & queue implementations
    • Design efficient tree-based solutions for coding challenges
    • Comprehend sorting algorithms for data organization
    • Apply graph traversal techniques for solving complex problems
    • Analyze algorithms according to time complexity & memory usage
    • Implement recursion strategies to solve programming tasks
    • Reflect upon best practices for coding algorithm designs
    • Design custom data structures for technology applications

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